Megaspeed's data centers sell computing services to several prominent Chinese AI labs, including Qwen AI maker Alibaba. Unbeknownst to Jensen Huang, the CEO of Nvidia, Alice Huang had developed a close relationship with him, which has raised suspicions about her true intentions. US intelligence agencies have been monitoring Huang's activities electronically.

According to reports, officials discovered that Huang was allegedly funneling information to the Chinese government in Beijing while also facilitating the sale of advanced Nvidia chips to China. The transfer of these chips is believed to be a violation of US law, sparking an investigation into Megaspeed and its ties to the Chinese AI industry.

Details about what specific information Alice Huang may have shared with China are scarce at this time. However, officials confirm that an ongoing investigation and surveillance of her activities are taking place. The full scope and potential value of the information she provided remain unclear.

The US government's lack of warning to Nvidia CEO Jensen Huang about the situation has raised eyebrows. Sources suggest that revealing the suspicion could have compromised the US investigation into Megaspeed, making it a delicate matter for officials handling the case.

Nvidia's involvement in a suspected espionage case has sparked concerns about the use of AI technology in international trade and conflict.

The company's interactions with its customers, including Megaspeed, are being scrutinized, but an Nvidia spokesperson says they are "not unusual or unexpected" given the CEO's frequent communication with thousands of customer executives every year.

Nvidia maintains that it treats all its regional cloud customers equally, and that sensitive trade secrets are not shared with them. The company is confident that if the US government believed any individual was a threat to American industry, they would be informed accordingly.

The incident highlights the increasing importance of AI technology in global trade, with many experts warning about the potential risks and consequences of its use. This concern is echoed by recent events, including the FBI's arrest of a Saudi Arabian national accused of planting a recording device at an OpenAI executive meeting.

As major tech companies continue to invest heavily in AI infrastructure, concerns about the environmental impact and public backlash against data centers are growing. The high demand for advanced computer chips has led to increased costs for RAM and storage, which are being passed on to consumers by hardware manufacturers.

The Biden administration's efforts to restrict China's access to advanced computer chips have been met with mixed results. The ban on sales of certain Nvidia chips to China was implemented in 2022, but the rules were relaxed by President Trump in 2025.

As a result of these relaxed regulations, the US government now receives 15% of revenue from Nvidia and AMD for chip sales to China. However, reports indicate that some unauthorized activities are still taking place, involving the smuggling of banned chips from the US to China.

The investigation into this matter has been ongoing, with The Times reporting that Trump was briefed on the case a year ago but chose not to take any action, despite his close ties to Big Tech leaders like Jensen Huang.

CNET: https://www.cnet.com/tech/computing/nvidia-ai-spy-saga-jensen-huang-china-chips/

A closer look at the numbers reveals that many stocks within the S&P 500 are actually falling. However, the gains made by influential AI stocks have helped to offset these losses and drive the index higher. This trend is consistent with the industry's recent performance, which has seen AI stocks experience a second consecutive winning day after weeks of volatility.

The concerns that had been weighing on the sector appear to be subsiding for now. One factor contributing to this shift is the announcement by Broadcom of a $63 billion financing deal. As part of this agreement, several Wall Street firms will provide Anthropic with access to Broadcom's XPU AI accelerators and networking solutions.

This development has sent Broadcom shares soaring, rising by 4.2% in response to the news. Nvidia, another key player in the AI industry, is also benefiting from the trend, its stock up by 0.8%. Other companies, such as CoreWeave, are experiencing significant gains, with its shares jumping 8.5% following a period of severe volatility.

General Motors' decision to switch its stock listing from the New York Stock Exchange to the Nasdaq has sent shares soaring 5.6% higher. The automaker believes that moving to the tech-heavy Nasdaq will better align with its own technology-driven strategy.

By making this move, GM may also become eligible for inclusion in the Nasdaq 100 index, a benchmark that attracts significant investment from funds that track it. This would require these funds to purchase GM shares, potentially driving up demand and boosting prices further.

Meanwhile, JetBlue Airways has seen its stock rise by 20.3% despite reporting a larger-than-expected loss for the summer quarter. CEO Joanna Geraghty is optimistic about the airline's prospects, predicting that it will return to sustained profitability next year and deliver at least $1 in earnings per share in 2028.

Another travel company, Royal Caribbean Group, has also contributed to the market's upward momentum with a 5.5% increase in its stock price. The cruise operator exceeded analyst expectations for summer profits while boosting its forecast for full-year earnings.

The pressure is on companies like GM, JetBlue, and Royal Caribbean to deliver substantial growth in profits, as financial analysts and investors expect big returns despite concerns about inflation, interest rates, and other market headwinds.

The market's mixed performance continued as several major companies reported disappointing earnings. Boeing took a significant hit after announcing a larger-than-expected loss for the latest quarter, with its stock price plummeting 10.2%. This setback was particularly striking given that the company had previously been expected to deliver stronger results.

Hilton Worldwide Holdings also fell short of expectations, with its shares declining 2.6% after it reported weaker revenue for the summer period than analysts had anticipated. The hotel chain's forecast for the final three months of the year only added to investors' concerns, as the midpoint of its profit range failed to meet analysts' expectations.

Sherwin-Williams was another company to feel the pinch, with its stock price slipping 1.9% after it delivered a weaker-than-expected profit. The paint and coatings manufacturer cited high mortgage rates as a major contributor to the slowdown in demand for its products, which are closely tied to the housing industry. This sector has been feeling the pressure of rising interest rates.

The decline in consumer confidence is also taking a toll on companies like Sherwin-Williams. CEO Heidi Petz warned that customer sentiment and key indicators point to muted demand over the remainder of the year and into 2027, as high inflation continues to push up costs for raw materials. This trend is reflected in the company's decision to adjust its production levels.

Meanwhile, a glimmer of hope emerged on Tuesday with news that U.S. consumer confidence had improved in October, despite expectations of further weakening. However, this positive note was largely offset by the anticipation that the Federal Reserve will hold interest rates steady at its upcoming meeting, rather than making another hike to combat inflation.

The yield on the 10-year Treasury note dipped slightly to 4.99%, down from 5.00% late Monday, a development that may have had a stabilizing effect on markets.

Meanwhile, oil prices declined by 1.2% to $109.41 per barrel of Brent crude, which could also be contributing to lower yields. In international stock markets, results were mixed across Europe and Asia, with the biggest moves seen in Seoul where stocks surged 3.1%, and Shanghai where they fell 1.3%.

Fortune: https://fortune.com/2026/10/28/sp-500-1-2-all-time-high-broadcom-nvidia-ai-stock/

One example is a statement claiming Claude has experienced the fastest enterprise adoption in history, with revenue growing from $0 at commercial launch in Q1 2023 to an unspecified amount by September 30, 2026. This omission raises questions about what details Anthropic has chosen to leave out of its prospectus.

Experts point to lease agreements tied to compute investments as another area of concern, noting that companies often face uncertainties when investing in artificial intelligence and securing sufficient computing power. Dambra notes that companies can be liable for misstatements in their registration statements, providing a strong incentive to withhold numbers until they are fully vetted.

According to SEC regulations, companies must update their IPO filings if they go public after mid-November. This means that any company planning an IPO in the near future should be prepared to disclose its third-quarter financials by this deadline.

Accounting experts note that it's common for companies to redact confidential details from contract exhibits, which can include lease terms and other sensitive information. However, in the case of Anthropic, these redactions may make it harder for investors to assess the company's financial obligations.

Anthropic's business model relies heavily on compute resources, which are its most significant operating cost. The company's prospectus highlights a significant risk related to overinvestment in these resources, where initial investments may seem excessive but are necessary to support future growth.

The prospectus also acknowledges that Anthropic must balance the risks of undersupply and overinvestment in compute resources. By emphasizing the need for forward investments in this area, the company is signaling its commitment to staying ahead of the curve in a rapidly evolving field.

Anthropic's IPO prospectus has drawn attention for its omission of key figures involved in the company's contracts with major tech firms.

These companies include Amazon, Google, Nvidia, and AMD, which have partnered with Anthropic to provide a "single, fungible pool of chips, essentially treating them as a unified resource rather than individual entities.

Some of these partnerships are set to conclude by December 2030, while others will continue until 2045, indicating varying lengths of commitment from these major players.

Anthropic's compute uncertainties are also highlighted in the prospectus, which addresses concerns over limited land and power resources affecting operations.

Anthropic's prospectus reveals a significant expansion of its existing commercial agreements, which it acknowledges have not yet been finalized. The company is adding $125 billion to $150 billion in new commitments under these deals, bringing the total value of these agreements to an estimated range.

In addition to these expanded agreements, Anthropic also mentions short term arrangements with minimum non-cancelable payments worth around $21 billion. This brings the total potential debt burden for the company up to a staggering minimum of $808 billion if all these commitments are fulfilled.

Dambra, a financial expert, warns that redacting information from prospectuses can create an information gap" between companies and outside investors, potentially leading to underpricing at initial public offerings. This raises questions about Anthropic's decision to keep certain details under wraps, despite the potential risks.

Investors may view the absence of key figures in Anthropic's IPO prospectus as a red flag, prompting companies to set lower starting prices for their initial public offerings.

The uncertainty surrounding Anthropic's opening price and the potential implications of its S-1 omissions are being closely watched by investors.

Wired: https://www.wired.com/story/anthropic-prospectus-leaves-out-some-numbers/

Musk's comments were sparked by concerns over the debt financing for these companies, which rely heavily on revenue from AI data centers. He noted that SpaceX has secured $40 billion in debt to purchase graphics processing units (GPUs), but this investment is backed by a diverse range of revenue streams, including Starlink and rocket-launch activities.

This stark contrast between SpaceX's financial stability and the vulnerabilities of neoclouds has led Musk to warn that up to 200 such companies could face significant challenges.

The financial struggles of neocloud companies continue to mount as investors grow increasingly wary of these nascent technologies. CoreWeave's stock has plummeted by about 37% in just a month, while Nebius' shares have dropped 30% over the same period.

Nvidia, a major backer of several neocloud companies including CoreWeave and Nebius, faces its own set of challenges in supporting these ventures. The company's significant investment in these startups has not yet yielded the desired returns, raising questions about the long-term viability of neoclouds.

The lack of infrastructure to support deployed compute is a major bottleneck for neocloud companies. With data centers unable to power and deploy existing units, compute remains "stranded until such time as facilities are upgraded or expanded.

Data center construction is also facing significant hurdles, with only about 35% of planned capacity in the US expected to be built according to a recent report by Bernstein Research. Hyperscalers like Amazon, Google, Meta, and Microsoft, which have extensive experience building and operating data centers, may emerge as the winners in this space due to their ability to successfully complete construction on time.

The concept of neoclouds has been met with skepticism by analysts at Bernstein Research, who have coined the term bragawatts" to describe overambitious data center projects like those pledged by celebrity investor Kevin O'Leary's company.

Meanwhile, another sector facing challenges is neolabs - small AI model development startups that are often heavily funded but struggle against established players such as Anthropic and OpenAI. Neolabs like Thinking Machines Lab, founded by ex-OpenAI CTO Mira Murati, and Safe Superintelligence, led by OpenAI cofounder Ilya Sutskever, are facing intense competition, making their viability a contentious topic among investors.

Business Insider: https://www.businessinsider.com/elon-musk-neoclouds-doomed-spacex-not-buying-2026-10

This divide has created an opportunity for "swing countries that can harness the strengths of both groupings, thereby avoiding being tied to one particular AI camp. However, experts warn that this window of choice may be narrowing rapidly as tensions between the two superpowers intensify.

The dilemma facing many nations is clear: do they opt for the advanced chips and AI technologies offered by the US-led Pax Silica, or join China's more affordable and open-source AI systems? The choice is not a simple one, given the significant benefits associated with each option.

Kazakhstan has taken an intriguing approach to this dilemma. Just three weeks after its AI minister visited Washington in June, he travelled to Shanghai for a signing ceremony that made his country a founding member of China's World AI Cooperation Organization. This move demonstrates Kazakhstan's desire to bridge the gap between the two rival blocs.

By joining both Pax Silica and China's initiative, Kazakhstan aims to secure more technological partnerships, high-tech manufacturing jobs, and a place in global AI supply chains through its participation with the US-led group. At the same time, it seeks to have a voice in setting regional and global AI standards as part of China's World AI Cooperation Organization.

Kazakhstan is caught in a delicate situation as it navigates investments from both the US and China, which are increasingly vying for dominance in the AI space. The country's rich mineral resources and cheap electricity make it an attractive location for data centers, but this also puts it at risk of being drawn into the rivalry.

The government has already signed a significant investment deal with Nvidia to build a data center valley in Kazakhstan, worth up to $10 billion. This move has been seen as a strategic attempt by both parties to capitalize on the country's advantages and further their respective interests. Local officials have also reported that Chinese foreign direct investment in Kazakhstan reached a record high of $2.8 billion in 2025.

The Belt and Road initiative, led by China, aims to expand cooperation between countries along its route, including Kazakhstan. In July, Chinese leader Xi Jinping met with Kazakh President Kassym-Jomart Tokayev to discuss ways to deepen their partnership under this framework. This move is part of a broader effort by both nations to leverage access to AI and increase their global influence.

The US has also accused China of large-scale distillation or the extraction of capabilities from American AI models, highlighting the competitive nature of the field. The rivalry between these two powers is driving other countries to hedge their bets, as they seek to avoid being caught in the middle of the escalating tensions.

Beijing has firmly denied allegations that it is restricting access to cutting-edge artificial intelligence (AI) technology, instead accusing the US of pursuing a monopoly on the field.

The US, however, has made it clear that its Pax Silica initiative - which aims to promote cooperation and collaboration in AI development - is only open to trusted partners. This stance suggests that countries deemed untrustworthy will be excluded from participation.

A statement from the US State Department emphasized the importance of trust in the context of Pax Silica, stating that countries cannot be considered reliable partners if they are also pursuing competing visions for superintelligence.

In contrast, Beijing has touted its own World AI Cooperation Organization as a more inclusive and open alternative to Pax Silica. The Chinese embassy in Washington has called on both major powers to leverage their respective strengths in AI rather than viewing each other as rivals.

The differing messaging strategies of the two AI superpowers reflect fundamentally different approaches to building coalitions, according to Kyle Chan, a fellow at The Brookings Institution's John L. Thornton China Center. He notes that Beijing needs to court third countries in its bid to build an alternative coalition, whereas Washington already has a strong network of allies.

Indonesia's National Economic Council vice chair Mari Pangestu has expressed a desire for her country to benefit from both US and Chinese AI developments. According to Pangestu, Indonesia should be able to participate in and draw from both blocs, choosing the most suitable system.

The trend of hedging between rival AI powers is evident in various countries' strategies. In Singapore, US-based Anthropic has set up its latest Asia office, signaling increased investment in the region. The city-state is also considering joining China's AI organization, further blurring lines between the two blocs.

Saudi Arabia has been actively engaging with both US and Chinese AI companies. In September, the kingdom unveiled a platform developed by Humain, an AI startup that partnered with a Chinese company to build its open model. Additionally, Saudi Arabia has a deal with Nvidia to expand its AI computing capabilities using the chipmaker's advanced chips.

France is taking a more independent approach to AI development through its startup Mistral. The company released a new model this month that outperforms some of China's most advanced models. This move reflects France's ambition to become a major player in the global AI landscape, separate from both US and Chinese influences.

Countries with significant economic and military capabilities but limited AI expertise are being drawn into the US camp for access to data centers and chip deals with US companies. The UK and Germany, for instance, may rely on aligning themselves with Washington to stay competitive in the global AI market.

The influence of policymakers in Washington and Beijing over advanced AI systems has created a precarious situation for many countries. Their access to cutting-edge technology is now largely dependent on the whims of these two global superpowers.

China's efforts to narrow the technological gap with the US are yielding results. While it still lags behind in some areas, China's advancements in chipmaking and AI capabilities have made significant strides. The country's open-source approach also allows other nations to reduce their reliance on US technology.

Beijing has been actively supporting developing countries by providing funding for them to build their own AI ecosystems. According to research from the AidData lab at William & Mary, China has granted official sector loans and aid to at least 77 low- and middle-income countries for projects involving or enabled by AI technologies.

Some of the top recipients of this support include Nigeria, Zambia, Ghana, Bangladesh, Senegal, Cameroon, and Kenya. Meanwhile, public perceptions are shifting in favor of China's approach to AI regulation, as a recent study from Pew Research Center has shown that people in middle-income countries are becoming increasingly positive and trusting of Beijing's handling of the technology.

This trend reflects the growing unease many countries feel about being forced to choose between aligning themselves with Washington or Beijing. As Aalok Mehta, director of the Wadhwani AI Center at the Center for Strategic and International Studies, noted, there are advantages and disadvantages to each technology stack."

Countries around the world are reevaluating their AI strategies in light of the emerging rivalry between the US and China. As a result, many nations are seeking to maintain control over their own AI development.

Most countries will likely struggle to keep pace with the US and China's advancements in building large-scale AI models. Despite this challenge, every country is exploring ways to assert its independence in AI development.

Fortune: https://fortune.com/2026/10/25/us-china-rival-ai-blocs-swing-countries-hedging/

Our review model has 128GB of RAM, which adds significantly to the cost, bringing it up to $7,000. This is not a laptop for those on a budget, especially considering that even gaming laptops are generally cheaper than this. The high price is likely due in part to the power and capabilities of NVIDIA's RTX Spark system-on-a-chip.

The ProArt P16 has a sleek and sturdy aluminum case, with a bright 16-inch OLED screen that is perfect for creators who need accurate color representation. The keyboard is spacious and well-lit, making it ideal for those who spend long hours typing away on their laptop. A similarly large haptic touchpad adds to the overall premium feel of the device.

The ProArt P16's design is reminiscent of Apple's MacBook Pro, but with a distinctly ASUS twist. It weighs in at 3.9 pounds, making it lighter than its Apple counterpart despite having a similar-sized screen. This makes it an attractive option for those who value portability without sacrificing power or performance.

One of the key features that sets the ProArt P16 apart from other laptops is its use of NVIDIA's RTX Spark system-on-a-chip. This chip combines a 20-core Arm CPU with a modern Blackwell GPU and up to 128GB of unified memory, making it an ideal platform for running local AI models.

The design of the RTX Spark chip is notable in that it bears a strong resemblance to Apple's M-series chips. These chips have been praised for their power efficiency and performance, and it seems that NVIDIA has taken inspiration from them when designing its own system-on-a-chip.

Despite its high price tag, the ProArt P16 does offer some advantages over other laptops on the market. Its ability to run local AI models with ease makes it an attractive option for creators who need to process large amounts of data quickly and efficiently.

The ProArt P16 is not a laptop that will appeal to everyone - especially those on a budget or who don't require the high level of performance offered by NVIDIA's RTX Spark system-on-a-chip. However, for those who do need this kind of power, it may be worth considering despite its high cost.

The NVIDIA RTX Spark platform is not intended to replace existing x86 hardware from Intel and AMD entirely, but rather to offer an alternative for AI researchers and enthusiasts who require high-performance computing capabilities. This move by NVIDIA can be seen as a new direction in PC design, one that focuses on harnessing the power of artificial intelligence.

As previously reported, NVIDIA's entry into the Windows market with RTX Spark is likely to have a positive impact on competition among PC manufacturers. The introduction of this platform will undoubtedly prompt AMD, Intel, and Qualcomm to develop more advanced hardware in response. However, it remains to be seen whether this increased competition will translate to lower prices for consumers.

The growing demand for AI processing has led to an increase in memory requirements, resulting in higher RAM prices. Unfortunately, the RTX Spark platform is unlikely to alleviate this issue, as its high-end features and capabilities are bound to drive up costs even further. For those who can afford it, though, the benefits may be worth the expense.

The ASUS ProArt P16, one of the first systems to utilize the RTX Spark platform, boasts an impressive array of ports and connectivity options. In addition to three USB-C connections, users will find a standard USB Type A port, HDMI output, headphone jack, and full-sized SD card reader at their disposal. While Ethernet connectivity would be a welcome addition, it has become increasingly rare in thinner, professional-grade laptops.

Using the ASUS P16 with RTX Spark is an exhilarating experience, reminiscent of turning on a MacBook Pro with an M-series chip for the first time. The system's lightning-fast performance leaves little room for complaint, especially considering its hefty price tag and generous 128GB of RAM.

Initial benchmark results for the ASUS P16 have been somewhat surprising, however. In PCMark 10's Applications test, the RTX Spark-powered system trailed behind an ultra-slim ASUS A16 model powered by a Snapdragon X2 Elite chip by over 3,000 points. Additionally, it lagged slightly in Geekbench 6's single-threaded CPU test.

Despite these results, the performance of the ASUS P16 is still more than adequate for demanding tasks and applications. Its capabilities are undoubtedly impressive, even if they do not quite match those of competing systems. As with any high-end system, it is essential to consider whether such a level of power is truly necessary for one's specific needs.

The question remains as to whether the ASUS ProArt P16, with its RTX Spark platform and associated costs, will find a place in the market despite its high price point. While it may not be feasible for many consumers, for those who require the extreme processing capabilities of this system, it is certainly an option worth considering.

The ASUS ProArt P16's performance is further highlighted by its exceptional graphics capabilities. In Geekbench 6's GPU benchmark, it outperformed the MacBook Pro with M5 Max by a significant margin of 4,700 points.

This improvement in graphics performance translates to real-world applications as well. The ProArt P16 scored significantly higher than the MacBook Pro in UL Procyon's AI Computer Vision 2 benchmark, with a score of 3,895 compared to 3,267.

The ProArt P16 also demonstrated its prowess in AI Image Generation, scoring 1,519 points in UL Procyon's benchmark. This is 600 points higher than the MacBook Pro, underscoring the benefits of the RTX Spark chip's beefy graphics power.

Beyond benchmarks, the ASUS P16 showed remarkable flexibility when it came to running demanding applications. I was able to run OpenClaw and the large Qwen3.8 27B model simultaneously, despite their significant memory requirements.

This multitasking capability is impressive given that the Qwen3.8 27B model alone consumes a substantial 42GB of RAM. The ProArt P16 still had ample resources available for other tasks, demonstrating its robust performance capabilities.

In addition to running demanding applications, I was also able to play high-end games on the ASUS P16 without experiencing any noticeable slowdown in performance. This is no small feat, considering the system's ability to handle graphics-intensive tasks.

The fans did spin up significantly while playing games, but this was not accompanied by any lag or stuttering. The ProArt P16 handled these demanding tasks with ease, showcasing its impressive capabilities.

NVIDIA has previously stated that the RTX Spark's graphics hardware is comparable to the RTX 5070 mobile GPU in terms of performance. However, it consumes significantly less power than its counterpart. This efficiency was evident in my testing, where I achieved high frame rates without excessive heat generation.

The system's ability to handle games like Control: Resonant and Cyberpunk 2077 at high quality settings is a testament to the RTX Spark chip's capabilities. The performance numbers I obtained are impressive, especially considering the system's power efficiency.

The Windows on Arm experience has undergone significant improvements since the launch of Copilot+ systems two years ago. Microsoft's efforts have made x86 emulation even more seamless, addressing some of the compatibility concerns that existed previously.

The 16-inch OLED screen on the ASUS ProArt P16 is a standout feature. It boasts an impressive peak luminance of 1,600 nits, making it one of the brightest OLED screens available on a laptop. This extreme brightness allows for crisp visuals in both dark and well-lit environments.

The high-end display also enables users to work effectively outdoors during daylight hours. The intense brightness is comparable to that found in Apple's Mini LED MacBook Pro displays, which share the same peak luminance of 1,600 nits.

In addition to its exceptional screen, the ASUS ProArt P16 excels in other areas. Its keyboard offers ample width and deep key travel, making typing a pleasure. The laptop also features one of the best haptic touchpads on a Windows PC.

The dual speakers on the ProArt P16 deliver solid sound quality, albeit without a quad-speaker setup that is becoming increasingly common in premium laptops. However, they do offer some spatial audio support through Dolby Atmos.

The only notable drawback to the ASUS ProArt P16's sleek design is its tendency to attract fingerprints. The instant you touch it, marks start appearing, and consuming oily foods nearby can exacerbate the problem.

Cleaning the laptop regularly is essential to maintain its appearance, but it would be beneficial for ASUS to explore anti-fingerprint materials in future designs.

The battery life of the ProArt P16 was put to the test using PCMark 10 Applications benchmark, where it lasted for ten hours and 51 minutes. This is somewhat disappointing considering that many premium machines can achieve 15 hours or more on a single charge.

In comparison, Dell's XPS 16 managed to outlast the ProArt P16 by nearly two hours in the same battery test. While this may be a concern for users who need their laptops to last throughout the day, it's worth noting that the ProArt P16 can still provide a decent amount of time before needing a recharge.

One advantage of the ProArt P16 is its ability to maintain performance even when running on battery power. I observed no significant drop in benchmark scores or game performance when the laptop was unplugged from the mains.

The efficiency of NVIDIA's RTX Spark hardware appears to be a key factor in this regard, allowing for high-performance capabilities without consuming excessive amounts of power.

However, it's worth noting that the ProArt P16 may not be the best value for money, particularly for users who are not heavily invested in AI development. Those who can justify the cost due to their specific needs may find the RTX Spark hardware to be a worthwhile investment.

Gamers, on the other hand, may want to consider alternative options that offer better overall performance and compatibility with all Windows games. For instance, the ASUS Zephyrus G16 with an RTX 5070 GPU and 240Hz OLED screen can be had for around $2,124 at Best Buy.

This level of gaming performance is not currently available on the ProArt P16, which may limit its appeal to gamers who require top-notch performance.

The ProArt P16's reliance on NVIDIA's RTX Spark platform may limit its appeal to multimedia editors who require broad compatibility with existing software tools. While Adobe has ported some of its iconic applications to the RTX Spark platform, other multimedia apps are less likely to follow suit.

As a premium laptop, the ASUS ProArt P16 is undoubtedly an impressive device, but its high starting cost and unique hardware make it appealing only to a niche audience - specifically AI professionals. For general users or gamers, there are already numerous excellent PCs available that can meet their needs without the added expense of RTX Spark.

In conclusion, the ASUS ProArt P16's value proposition is primarily targeted at AI professionals who require the specialized capabilities of NVIDIA's RTX Spark platform.

Engadget: https://www.engadget.com/2294849/asus-proart-p16-rtx-spark-review/

Investors are becoming increasingly risk-averse, seeking out safe-haven assets like Treasury bonds amidst the turmoil. Demand for these bonds has increased significantly, with yields on the 10-year note falling below 5% - its lowest level since late September. This trend bucks recent weeks' patterns, where investors had been showing a preference for higher-risk investments.

The US military and diplomatic personnel are being evacuated from several countries in the Middle East, in preparation for possible military action against Iran. According to reports, key targets could include Iran's energy infrastructure and nuclear sites, sparking concerns about potential retaliation from Iranian officials.

The market volatility continues as concerns about an impending war with Iran and high artificial intelligence (AI) spending weigh heavily on investor sentiment. Tech stocks are leading the declines in equity markets, with Meta and Tesla experiencing significant drops following their quarterly earnings reports.

Meta's earnings exceeded forecasts, but only after accounting for massive legal penalties paid by the company last quarter, which totaled billions of dollars. The tech giant also warned investors that it plans to increase its spending next year to accommodate growing demands for computing power. This move comes on top of a separate regulatory filing that revealed Meta intends to allocate an additional $825 billion towards contracts related to its AI infrastructure development.

Tesla's quarterly earnings report, however, fell short of investor expectations as the company announced plans to rein in capital expenditures, dampening hopes for more aggressive expansion strategies.

The technology sector's struggles continued to weigh on global markets as Nvidia CEO Jensen Huang warned that capital to finance AI investments is becoming increasingly scarce due to higher interest rates and existing spending commitments.

Meanwhile, European stocks have been declining in recent weeks, partly due to a significant sell-off in French government debt. This development has added to the overall market uncertainty, contributing to Thursday's downturn.

The S&P 500 remains near its all-time high set earlier this month despite the current market volatility, but a prolonged stumble could still impact President Donald Trump's economic argument ahead of the November midterm elections.

NBC News World: https://www.nbcnews.com/business/markets/iran-war-ai-spending-oil-prices-selloff-rcna604994

The attacks have resulted in widespread disruptions to cloud services across Russia, affecting various sectors such as banking, e-commerce, geolocation, and ride-hailing. Users have reported persistent issues with online platforms, including Yandex's virtual assistant Alisa and multimodal AI chatbots. The impact has also extended to the judicial system, forcing arbitration courts to cancel or postpone sessions due to database access limitations.

Ukraine this month targeted three major data centers in its ongoing invasion of Russia: one belonging to tech giant Yandex, another serving Russia's biggest bank Sberbank, and a third facility for social media platform VKontakte. The attacks have raised concerns about the long-term consequences for Russia's digital ambitions, with some experts predicting that repairing the damage could take months or even years.

Experts warn that the Ukraine's military actions may significantly set back Moscow's aspirations to become a leader in artificial intelligence development. Mikhail Klimarev, head of the Internet Protection Society activist group, has stated that "this effectively sets Russia far behind in the AI race."

The ongoing conflict between Russia and Ukraine has escalated to include attacks on vital infrastructure such as power grids and key sites, with Russian missiles and drones targeting Ukraine's energy supply and other crucial facilities.

Moscow's efforts to weaken morale and resistance have been amplified by the approach of winter, taking advantage of a shortage of U.S.-supplied Patriot interceptors whose stockpiles have been depleted in part due to Washington's conflict with Iran.

In response to these aerial campaigns, Ukraine has launched waves of drone attacks against Russian oil refineries, triggering a massive fuel crisis that is affecting millions of civilians and bringing the war closer to home for many Russians.

The U.S. President Donald Trump has linked the increased global oil prices to the ongoing attacks, attributing them in part to the effects of the U.S. war with Iran on the international energy market.

Ukraine's counterattacks have also targeted large warehouses used by Russia's top online retailers Wildberries and Ozon, further disrupting supply chains and civilian life.

The recent string of drone strikes targeting Ukraine's neighboring country has exposed Russia's vulnerability in its data center infrastructure.

Data centers housing crucial AI and computing power for major Russian companies like Sberbank have been hit by Ukrainian drones. The attacks on these facilities, including a hub in Balakovo and another in St. Petersburg serving VKontakte, are part of Ukraine's ongoing efforts to disrupt Russia's technological capabilities.

The ease with which data centers can be targeted has raised concerns about the long-term impact of these strikes. With massive buildings packed with servers and supporting power and cooling infrastructure, even a relatively light load of explosives carried by a drone can cause lasting damage.

In fact, this vulnerability is not unique to Russia. Iran's drones have previously hit Amazon Web Services data centers in the United Arab Emirates and Bahrain, highlighting the potential for widespread disruption of digital services.

The problem facing Russia lies in its vast geography, which makes it challenging to cover with adequate air defense systems, according to Nick Reiners, a senior geotechnology analyst at Eurasia Group.

The attacks on Ukraine's data centers have had an unexpected consequence - they've forced Russia to consider relocating its own computing assets abroad.

This move would be a significant blow to Russia's efforts to maintain control over its internet infrastructure, as many top Russian companies rely heavily on domestic data centers.

Experts predict that the damage caused by these attacks could lead to a shift in the way Russia manages its digital presence, with companies like Yandex potentially relocating their computing assets to Europe.

Yandex is a dominant force in Russia's digital landscape, offering a wide range of services including search engines, cloud storage, payment apps, and e-commerce platforms.

The company's reliance on just a few data centers makes it an attractive target for cyber attacks, with experts noting that these kinds of disruptions can have far-reaching consequences.

The ongoing cyberattacks on Yandex's data centers have had a significant impact on the company's ability to provide services to its customers. Taxi drivers like Pavel Belyavskiy are experiencing difficulties in connecting with passengers through the ride-hailing app, leading to canceled rides and lost income.

Some major companies and banks that rely on Yandex cloud services have also reported temporary disruptions. For Moscow residents like Eduard Malyavko, these outages have consequences beyond just inconvenience - they affect everyday life and work routines. The strain of these interruptions is being felt across the city.

The damage to Yandex's data centers has been extensive, with satellite images suggesting that its facilities sustained significant harm. Fires triggered by the attacks likely damaged high-end chips and other critical equipment, which will take time and resources to replace or repair.

The destruction of data centers along the border has significant implications for Russia's artificial intelligence capabilities. According to experts, the damage caused by Ukraine's drone strikes will likely hinder Russia's progress in AI research and development.

The high-end chips powering Yandex's supercomputers, designed by Nvidia, are particularly vulnerable to fire damage from soot. Replacing these chips is a complex task, especially considering the global shortage of such components due to sanctions on their delivery to Russia. This will add to the already significant costs associated with repairing the damaged equipment.

The loss of data centers and high-end chips will likely set back Russia's AI efforts by several years, making it difficult for the country to catch up with the US and China in this field.

Fortune: https://fortune.com/2026/10/22/ukraine-russia-drones-data-centers-ai-race/

According to researchers Benjamin Jaros and Joshua Rauh, affiliated with Stanford University's Hoover Institution, the actual figure could be significantly lower. In their analysis, they estimate the tax would collect around $30 billion, a range of $28 billion to $36 billion. This is less than one-third of what proponents expect.

The main reason for this discrepancy lies in the ability of billionaires to relocate from California. The researchers used Forbes billionaire rankings, real estate reports, and public relocation announcements to estimate that nearly 30% of the proposed tax base has already been eliminated due to departures.

The researchers' earlier analysis had projected a $40 billion revenue and a $25 billion net loss for the state. However, their latest estimate puts the potential tax windfall at just $30 billion, which is a significant downward revision.

This new figure raises concerns about what happens after the state collects it. The economists are worried that the losses from billionaire departures could outweigh the one-time wealth tax proceeds.

The researchers have estimated that billionaire departures could cost California between $1 billion and $3.5 billion annually in lost income tax revenue. If these losses continue indefinitely, they would far exceed the potential gains from the wealth tax.

These projections are based on simulations using different revenue and discount-rate assumptions. Notably, 85% of the simulations produced a net loss for the state, indicating that the potential risks may be even greater than initially thought.

The researchers' estimates do not account for individuals who have publicly announced their intention to leave California but may still owe taxes if they remain residents as of January 1, 2026.

California's billionaire tax proposal has sparked intense debate among economists, with some arguing it will generate significant revenue and others warning of potential losses.

A recent study by economists Jasper Boll, Emmanuel Saez, and Gabriel Zucman challenges the notion that billionaires fleeing California would lead to a $100 billion windfall. According to their estimates, even in an extreme scenario where every billionaire permanently left the state, it would take around 25 years for accumulated income tax losses to match this proposed revenue gain.

The authors of this study have revised their earlier estimate of what California billionaires paid in state income taxes in 2025, increasing it from $4.1 billion to $4.3 billion. This revision also critiques the Stanford approach by pointing out that it treats the wealth tax as a one-time payment while considering the migration triggered by the tax as permanent.

However, this perspective is not shared by California's nonpartisan Legislative Analyst's Office, which predicts that the tax will generate tens of billions of dollars over several years. The office also expects the tax to have a relatively minor impact on annual income tax revenue, reducing it by less than $1 billion.

The debate surrounding the billionaire tax proposal comes as the wealth gap in the United States continues to widen. According to Federal Reserve data, the richest 1% of households now hold a record 32.5% of the nation's total net worth, up from 31.1% just one year earlier.

The proposed wealth tax has ignited a heated debate, with tech moguls pouring millions into opposing it and supporting competing ballot initiatives. According to campaign finance disclosures reviewed by a prominent news outlet, these billionaires have collectively raised over $340 million against the measure.

Among the largest donors is Brin, who alone has contributed more than $100 million. Other notable contributors include Eric Schmidt, former Google CEO, Peter Thiel, cofounder of Palantir, Patrick Collison, Stripe's CEO, and Tony Xu, DoorDash's CEO. This massive opposition campaign has already spent a staggering amount on ads and lobbying efforts.

The battle is not only being fought in the streets but also at the top levels of government. California Governor Gavin Newsom, who initially supported the tax, has now switched sides and endorsed Proposition 42, a competing measure funded by Brin that would block retroactive taxes and new state taxes on personal property. This move effectively undermines Prop 40, the original wealth tax bill.

The outcome is far from certain as voters remain divided on the issue. A recent poll found that likely voters are almost evenly split, with 46% in favor of the tax and 43% opposed, leaving room for a potential shift in public opinion before the final vote.

The proposed tax hike in California has sparked a heated debate among residents, with some arguing that it would bring in significant revenue while others claim it would drive away top talent and entrepreneurs. Nvidia CEO Jensen Huang is an example of someone who seems to be willing to pay his share, stating he would comfortably shell out around $8 billion over five years.

The tax's fate will be decided by voters on November 3rd, but even if it passes, its implementation could be delayed due to competing measures and the time-consuming process of determining its impact. Ultimately, the outcome will depend on various factors, including the effectiveness of the tax in generating revenue and its overall effect on California's economy.

Fortune: https://fortune.com/2026/10/21/california-billionaire-tax-prop-40-stanford-study-39-billion-loss/

To be part of this emerging ecosystem, countries don't just need to consume AI technology but produce it as well, according to Huang. He emphasized that producing AI is essential for participating in the AI economy, a notion he reinforced during his 90-minute presentation to a crowd of over 4,000 attendees at Nvidia's GTC.

The AI factory concept, known as the DSX Pod, was unveiled by Huang as part of this vision. The modular "plug-and-play" data center comes pre-assembled in a large metal container equipped with Vera Rubin compute racks from Nvidia and can be operational within just 14 days, significantly reducing construction time.

The DSX Pod, Nvidia's modular data center solution, promises not just faster deployment but also reduced downtime for compute resources. This is because the pre-assembled container can be operational in just 14 days, a significant improvement over traditional construction times.

Huang emphasized that this transformation will have far-reaching implications for industries across Europe. He envisioned a future where Nvidia's technology underpins every sector, from manufacturing to finance and beyond. The company's GPUs are already being integrated into various applications, including telecommunications and automotive systems.

Nvidia is making inroads into the rapidly emerging field of humanoid robotics, with Huang announcing the launch of a full-stack robotics platform designed to streamline configuration and standardization. This move comes as Europe seeks to establish itself as a leader in this area, leveraging its manufacturing heritage to drive innovation.

In addition to robotics, Nvidia's presence extends into other areas such as autonomous vehicles. Huang announced partnerships with European carmakers VW and Mercedes on the development of AVs, highlighting the company's growing influence across various industries.

Nvidia's plans for Europe have taken a significant step forward with the announcement of a preconfigured reference robot called Agile One, set to hit the market in the first quarter of next year.

This robot is designed to facilitate the development of physical AI systems by providing developers with a readily available and customizable platform. The aim is to streamline the process of creating complex AI-powered projects and make them more accessible to a wider range of users.

As part of its ongoing efforts to drive innovation in Europe, Nvidia has also highlighted the potential for agents to increase demand for computing power and GPU resources. With agents expected to become increasingly prevalent, there will be a growing need for robust software tools and powerful processing capabilities.

Wired: https://www.wired.com/story/jensen-huangs-vision-for-europe-runs-on-plug-in-data-centers/

One of the major concerns holding back companies from adopting more autonomous AI systems is ensuring adequate security controls, particularly after a series of high-profile breaches attributed to agent malfunctions over the summer. ServiceNow and Nvidia are addressing this issue by combining AI capabilities with robust security measures.

Arc is governed and secured through the ServiceNow Super Intelligence Control Tower, which serves as a centralized framework for monitoring and managing AI agents within an organization. This system also enforces Nvidia's OpenShell tool, allowing Arc to operate independently while maintaining control over enterprise security.

The agent has been designed to run efficiently on Nvidia's RTX Spark devices and can be deployed locally on an employee's desktop or within Nvidia's OpenShell on a separate device. This flexibility makes it possible for Arc to build memory and skills over time, leading to improved performance in handling daily tasks.

The new AI agent from ServiceNow and Nvidia is designed to be efficient in handling complex tasks while minimizing data transfer. This approach allows Arc to keep data local whenever possible, only handing off more complex tasks to frontier models when necessary.

Arc's efficiency is also due to its ability to proactively surface work and action items by scanning an employee's inbox and meeting notes. This feature enables employees to stay on top of their tasks without having to manually sift through large amounts of information.

One key aspect that sets Arc apart from other AI agents is its multi-level security framework. According to ServiceNow and Nvidia, this approach provides more reliable security by moving enforcement beyond the software layer into the runtime and hardware layers.

This enhanced security framework includes ServiceNow's Super Intelligence Control Tower, which enforces company policies while the agent is working on tasks. Additionally, Nvidia OpenShell restricts the agent's behavior where necessary, giving IT departments granular control over system access and data usage.

The companies also introduced AI Passport, a layer of agent security that holds an enterprise's set of rules about risk tolerance and service access. This allows Nvidia's features like OpenShell to intervene efficiently if an AI agent takes unauthorized action.

The integration of ServiceNow's AI Passport and Nvidia's security features aims to create a robust system for monitoring and controlling AI agent actions within an enterprise environment. This is achieved through continuous monitoring of an agent's permissions and actions, preventing potential breaches or unauthorized activities.

If an AI agent's passport is revoked due to suspicious behavior, OpenShell will isolate the task being executed by containing it in a sandbox for further review. Importantly, this interruption is task-specific, allowing other approved agent actions to proceed without disruption. This ensures that only the compromised action is impacted, minimizing downtime and maintaining overall system efficiency.

The result of this collaboration is an enhanced security mechanism that combines software-based controls with hardware-enforced enforcement, providing a powerful deterrent against potential breaches. By integrating Nvidia's BlueField technology with ServiceNow's Control Tower, the companies have created a robust defense against unauthorized AI activity.

ZDNet: https://www.zdnet.com/innovation/exclusive-servicenow-and-nvidia-launch-arc-a-new-ai-agent-for-enterprise/

Huang, who has built a vast fortune through his leadership of Nvidia, one of the world's largest chip companies, says he is happy to contribute to the system that enabled his success. In a recent interview, he expressed no qualms about his wealth and the tax burden it would bring. "I don't mind paying taxes," he said.

The proposed tax hike, part of Proposition 40, aims to raise tens of billions of dollars in revenue over several years through a one-time 5% levy on assets worth more than $1 billion. The funds generated are intended for healthcare and education initiatives. However, tech billionaires such as Sergey Brin and Eric Schmidt have been actively campaigning against the proposition.

These high-profile opponents have raised over $340 million to date in their efforts to defeat Prop 40. They are joined by other prominent figures who have already left California due to its relatively high tax environment. Among them are Peter Thiel, co-founder of Palantir, and Mark Zuckerberg, CEO of Meta.

Huang's stance on the issue is at odds with his peers but reflects a personal conviction that has been shaped by his own experiences in America. He attributes his success to the opportunities he was afforded during his time in the US, which enabled him to pursue higher education, create a new company, and meet like-minded individuals.

The contrast between Huang's willingness to pay up and the opposition from other billionaires will undoubtedly be closely watched as the debate over Prop 40 continues.

Huang's willingness to pay $8 billion in taxes over five years has been seen as a privilege rather than a burden by the Nvidia co-founder.

He emphasized that his concern is not about paying taxes but being unable to afford them due to financial constraints. This stance stands out from other billionaires who are vehemently opposing Prop 40, which aims to make billionaires pay their fair share of taxes.

The introduction of the "Make Billionaires Pay Their Fair Share Act" by Congressman Ro Khanna and Senator Bernie Sanders has been followed by a mass exodus of billionaires leaving California ahead of its January 2026 residency cutoff. Google co-founders Larry Page and Brin have relocated their business entities to Florida and Nevada, while Travis Kalanick, former CEO of Uber, has moved his residence to Austin, Texas.

Despite the reluctance of some billionaires to pay higher taxes, Huang remains unphased by the prospect. He has repeatedly expressed his enthusiasm for living in California, despite its high tax rates, citing the state's great weather and innovative spirit as key attractions.

Huang's office is located in Santa Clara, at the heart of Silicon Valley, where he believes access to top talent is unparalleled. According to him, it's a choice to set up shop in this tech hub, and whatever taxes come with operating there are simply a cost of doing business.

Jensen Huang has expressed reservations about taxing certain business tools. He is particularly skeptical of proposals that would tax company robots and AI tokens, a concept championed by Microsoft cofounder Bill Gates.

Gates argued that exempting these tools from taxation while still requiring payroll taxes on employee earnings creates an incentive for companies to replace human workers with machines. Huang has suggested alternative approaches to addressing this issue, but did not elaborate.

Huang views taxes as a positive contribution to society and the economy, stating that they provide a way for productive individuals and businesses to give back.

Fortune: https://fortune.com/2026/10/20/as-billionaires-fight-tax-hike-jensen-huang-paying-8-billion-is-privilidge-just-afraid-of-being-poor/

Huang's visit took him to France, Sweden, the UK, and Germany ahead of Nvidia's GTC event in Berlin, which kicked off on Tuesday. During this time, he has been vocal about his concerns that Europe is not doing enough to support its AI sector, and that its regulatory approach may be hindering progress.

In a public conversation with German Chancellor Friedrich Merz on Monday evening, Huang emphasized the need for balance between ensuring AI safety and promoting innovation in the field. He warned that policymakers cannot simply regulate their way to technological leadership, and instead must create an environment that allows industry to thrive.

Huang's comments come as Nvidia prepares to showcase its latest AI advancements at the GTC event in Berlin. The company is widely seen as a leader in the global AI market, and its views on regulatory issues are likely to be closely watched by policymakers and industry leaders alike.

Jensen Huang emphasized that Europe should focus on regulating AI applications rather than overthinking its potential. This view was presented in contrast to the continent's approach, which is seen as being overly cautious.

The German leader, Merz, countered by stating that finding a balance between innovation and regulation is still an ongoing challenge for Europe. He rejected the idea of no regulation but also cautioned against overly restrictive rules. Huang responded with a call to action, urging Germany to seize the opportunity presented by AI.

Huang sees AI as a potential solution to Germany's economic woes, which led to recessions in 2023 and 2024. By leveraging its manufacturing sector, engineering expertise, and industrial know-how, German companies can gain a competitive edge in the next phase of technological development. The focus should be on turning these national resources into strengths.

Huang highlighted the shift towards physical AI, encompassing robotics, manufacturing, cars, and heavy industry. This emphasis was consistent with his previous message delivered in London, where he criticized Britain's tendency to dwell on past failures rather than embracing innovation.

Europe has a unique combination of factors working in its favor when it comes to artificial intelligence - intelligent people, a strong culture, and a youthful energy driving innovation.

However, according to Jensen Huang, this potential is being wasted due to overthinking and excessive regulation, which is hindering the continent's progress in developing cutting-edge AI models and infrastructure.

The EU AI Act is one example of Europe's cautious approach to AI, whereas countries like the US and China are pushing ahead with innovation, potentially leaving Europe behind if it fails to adapt its regulatory framework.

Business Insider: https://www.businessinsider.com/jensen-huang-warns-europe-move-faster-ai-risk-falling-behind-2026-10

The current market sees some older GPUs being sold for nearly as much as they were initially purchased, making it unwise to discard them after upgrading.

A recent Steam survey highlights the Nvidia GeForce RTX 5070 as a popular choice among gamers, with 6.15 percent of surveyed systems featuring this card.

This model was launched at $549 and has seen its price surge due to inflation in memory and silicon costs, now reaching over $800.

The increased prices have led to users holding onto their GPUs for longer periods, potentially extending the typical three-to-five-year upgrade cycle.

Installing an old graphics card into a home media server can breathe new life into outdated hardware. By utilizing Nvidia's NVENC or AMD's AMF technology for hardware-accelerated video encoding and decoding, users can offload tasks from the processor.

This is particularly beneficial when using streaming software like Jellyfin or Plex, which support hardware-accelerated streaming capabilities. As a result, an old GPU can be repurposed to convert video codecs in real-time, allowing it to handle demanding media tasks efficiently.

For those who want to create a gaming console connected to their TV, an older graphics card can still be useful. Running light indie games or emulating classic titles on a lower-performance system may even prove more effective than using newer hardware designed for contemporary standards.

However, building a PC specifically to utilize the old GPU requires careful consideration of power supply and motherboard capabilities. Users must ensure that their setup can handle dual GPUs without running into PCIe lane limits or compromising performance by splitting lanes.

Before repurposing an old graphics card in this way, it is essential to check the motherboard manual for guidance on handling expansion slots and potential limitations when running multiple cards together.

When repurposing an old graphics card, gamers can explore additional options beyond simply running it as a secondary GPU for tasks like capturing in-game video or encoding and editing footage in DaVinci Resolve or Blender. The card's capabilities can also be leveraged to support local AI workloads that heavily rely on video random access memory (VRAM). This is particularly useful when considering the growing demand for processing power and specialized computing resources.

Running an old graphics card as a secondary GPU can be done with third-party software such as Lossless Scaling, which offers additional functionality at a cost of $6.99 on Steam. Alternatively, the card can serve as a dedicated machine for video encoding and editing tasks, or even handle AI workloads that are reliant on VRAM.

It's worth noting that holding onto an old graphics card as a spare in case one fails is not a bad idea, especially if no other use is planned for it. However, be aware that the resale value of the card will decrease over time, and proper storage in an antistatic bag is essential to maintain its condition.

When disposing of an old graphics card, consider recycling options instead of simply throwing it away with the trash. Companies specializing in electronic waste (e-waste) recycling can break down even irreparable cards, extracting valuable materials such as gold, copper, and aluminum that would otherwise end up in a landfill.

Engadget: https://www.engadget.com/2287482/dont-throw-away-old-graphics-card/

At an internal staff meeting in September, AWS CFO John Felton jokingly acknowledged the impact of these investments on Amazon's cash flow, saying "You've taken us free cash flow negative as a company, so congratulations" to Prasad Kalyanaraman, who oversees much of the AI infrastructure expansion.

This reversal is remarkable given that just two years ago, Wall Street was debating what Amazon would do with its growing cash hoard. However, the company has now committed to spending $220 billion this year alone to build the physical backbone for AI.

The meeting highlighted the magnitude of Amazon's bet on AI, which involves building a massive infrastructure to support the technology. This includes data centers, servers, and power, all of which require significant investment and coordination.

Amazon's experience in building large-scale infrastructure is considerable, with decades of expertise in constructing data centers. However, the sheer scale and complexity of these projects are posing new challenges for the company.

Internal documents reviewed by newscentral.site and people familiar with the matter suggest that Amazon is struggling to coordinate its industrial system, which involves multiple components moving on different schedules. This has led to delays and cost overruns, leaving billions of dollars in hardware waiting and tying up cash while forecasts continue to shift.

Amazon's aggressive expansion into artificial intelligence is putting its infrastructure to the test, as the company seeks to capitalize on the growing demand for AI services and applications.

The company has invested heavily in building out its data centers, which are used to train and run complex AI models and services such as ChatGPT. However, this has led to delays and cost overruns, leaving billions of dollars in hardware waiting and tying up cash while forecasts continue to shift.

In his latest annual shareholder letter, Amazon CEO Andy Jassy described the current investment cycle as a "once in a lifetime opportunity" for the company. He expressed confidence that Amazon has a clear line of sight to strong financial returns from this cycle, despite growing concerns among investors about the scale and pace of the industry's expansion.

One major challenge facing the industry is securing enough power to run the equipment inside data centers. This includes expensive racks of servers containing GPUs and other chips that train and run AI models and services. Internal emails from August suggest Amazon is preparing for a new wave of server rack deployments, with some facilities struggling to keep up with demand due to power constraints.

The cost of building out these data centers has increased significantly in recent months, making investors increasingly wary about the payback on their investments. Dan Ives, an analyst at Yorkville Ives, noted that the market is "repricing anything that funds multi-year builds against revenue that arrives later." This uncertainty has added to concerns around the industry's expansion and the potential impact on Amazon's bottom line.

Amazon's preparations for a new wave of server rack deployments suggest that the company remains committed to its AI strategy, despite growing challenges and uncertainties. However, the pace and scale of this expansion will likely continue to be closely watched by investors and analysts as the industry navigates these complex issues.

Amazon's cash flow management strategy has been put to the test as it scrambles to meet the demands of its rapidly expanding artificial intelligence data center business.

In a typical arrangement, Amazon waits until equipment is installed in a data center before paying for racks and other infrastructure components, allowing suppliers to bear the costs of transporting the gear.

However, this approach is no longer viable given the intense competition for resources in the AI sector, where companies are vying for access to crucial components such as Nvidia GPUs.

To address this issue, Amazon has introduced a new "Early Rack Receipt process, which enables the company to take ownership of racks and other equipment earlier in the supply chain.

This shift means that Amazon will now incur costs sooner, but it also aims to mitigate potential delays in getting equipment installed and operational.

As AWS navigates the rapid growth of the AI boom, it's becoming increasingly difficult for the company to balance its need for data center capacity with the uncertainty of demand.

A key factor in this challenge is the time frame in which Amazon can plan and prepare for new equipment installations. With an eight-week supply buffer typically sufficient for smaller companies, AWS faces a vastly different scenario at its scale.

At Amazon's size, holding even a modest inventory of additional equipment could mean tying up billions of dollars' worth of capital. This tension is especially pronounced given the company's history of frugality and emphasis on making major investments only when absolutely necessary.

AWS's AI infrastructure chief has absorbed this culture deeply, recalling his own advice to employees in late 2023 to do more with less as the company faced slower growth and layoffs. He urged them to adopt a mindset of frugality breeds innovation that still guides his approach today.

However, the frenetic pace of the AI boom is forcing AWS to rethink its strategy. By the time demand for data center capacity becomes clear, the necessary equipment and services may no longer be available, putting pressure on the company to commit more resources sooner rather than later.

Kalyanaraman recalled telling Jassy that AWS would surely overcome its capacity crunch by 2027, but with demand still expected to outstrip availability next year, Amazon is facing a new reality that requires a shift in its planning and investment timeline.

Amazon's massive expansion into the cloud computing market is facing a new challenge: securing enough electricity to power its growing data center operations.

The company has an enormous pipeline of planned data centers across 16 states in the US, totaling 44 gigawatts of capacity - more than double that of Google, Meta, and Microsoft combined, according to estimates from Cleanview Research.

To manage this complex landscape, Amazon has developed an internal dashboard called Secured Power at Risk, which tracks the potential risks associated with securing electricity for its data centers. These include transmission bottlenecks, grid stress requirements, and use it or lose it" provisions that can jeopardize capacity if projects are delayed.

The stakes are high for Amazon, as managing a portfolio of commitments to secure electricity can become costly if projects are not completed on time. This is borne out by a recent submission to Maryland's utility regulator, which revealed the kinds of financial obligations that large data center customers may face.

Amazon proposed setting aside collateral with utilities in exchange for grid upgrades or new power capacity, and suggested that this collateral be held for three years to give utilities time to re-sell unused power. This proposal highlights the additional financial risks faced by companies like Amazon when building massive data centers.

The proposal is not an indication of whether Amazon has actually made such payments or posted collateral, but it does underscore the complexities involved in securing electricity for large-scale data center projects.

Utility regulations can be complex for large-scale data center projects, but they are not unique to Amazon Web Services (AWS). The company has secured power for its facilities through various means, although it hasn't disclosed how much upfront cash it has paid.

The rapid expansion of AI capabilities at AWS is also giving rise to new expenses that are harder to model and budget. For instance, the company encountered a labor shortage while planning gigawatts of capacity in West Texas, with not enough skilled workers available to build facilities on schedule.

To address this issue, AWS decided to pay for housing complexes near its data centers, allowing workers to live there for several years while completing projects. Even seemingly minor details, such as the cost of shipping crates used to transport servers, have become significant expenses at AWS's massive scale.

As a result, the company is facing new challenges and constraints that are not typically associated with large-scale construction projects, according to Kalyanaraman. With its vast infrastructure needs, even trivial items can add up to material expenses.

Business Insider: https://www.businessinsider.com/amazon-220-billion-ai-bet-data-centers-spending-challenges-2026-10

In this model, chip suppliers invest in data center builders, who then use those funds to purchase chips from the same suppliers. Both parties report increased revenue as a result, creating an appearance of growth without necessarily indicating genuine demand for their products or services. This circular financing mechanism has been observed among leading AI companies such as Microsoft, Amazon, Google, and Nvidia.

An analysis by a central bank found that more than half (55.2%) of investments in AI firms come from other AI companies themselves, further complicating the issue. While this may indicate a surge in innovation within the industry, it also raises concerns about the sustainability of its growth.

The involvement of leading chipmaker Nvidia is particularly noteworthy, as it has invested in ChatGPT owner OpenAI to support data centers that rely heavily on Nvidia's own chips. This creates a self-reinforcing cycle where both companies benefit from each other's success, making it challenging for outsiders to determine the true drivers behind the AI boom.

Nvidia's investments in various AI companies have reached unprecedented levels, with over 50 deals made in 2024 alone. The chipmaker has invested heavily in OpenAI, providing a guarantee of up to $105 billion for an OpenAI data center in Ohio, as well as investing $30 billion in a private funding round for the company.

This significant investment helps maintain OpenAI's status as Nvidia's largest customer, creating a self-sustaining relationship. However, it also raises questions about whether Nvidia is propping up the market through its investments. The chipmaker has a vested interest in the success of these companies, which use its technology to build AI factories.

Nvidia's financial support extends beyond OpenAI, with significant investments in other firms such as Anthropic, developer of the popular AI model Claude. The company has also invested $2 billion in cloud provider CoreWeave, aiming to accelerate the development of AI factories that rely on Nvidia technology.

The sheer volume and scope of Nvidia's investments have contributed significantly to the rapid growth of the AI industry. However, this phenomenon also creates a complex web of relationships between companies, making it challenging to determine the true drivers behind the AI boom.

The complex web of relationships between companies involved in the AI sector has led to a concentration of risk. This interconnectedness makes it challenging to pinpoint the true drivers behind the boom. As a result, trouble at one firm can quickly spread to others.

Nvidia's multifaceted role as investor, supplier, and financier across the AI sector has raised concerns about valuations. The company's influence extends far beyond its own products, making it difficult to assess the financial stability of other companies in the sector. This situation creates a ripple effect that can have far-reaching consequences.

The opaque funding arrangements used by some AI companies have also come under scrutiny. For instance, OpenAI has faced criticism over its revenue reporting methods, which may have exaggerated its earnings. The company's shares took a hit when it was revealed that its annualized revenue was significantly lower than initially suggested.

Some experts warn that the AI bubble could burst if sentiment shifts towards the sector. This is particularly concerning given the significant contribution of AI companies to the US stock market's gains in 2026. Chipmakers, including Nvidia, have driven around 70% of the total gains for the S&P 500 index, with Nvidia now accounting for nearly 8% of the index.

The AI boom's financial underpinnings have created a fragile market situation. If investors begin questioning whether OpenAI and similar customers can generate sufficient revenue from their users to meet their commitments, Nvidia would face a double blow: reduced sales expectations and increased exposure to financing risks tied to those same companies.

This potential downturn could have far-reaching consequences for the broader market, as Nvidia's significant weighting in key indices makes it a major contributor to overall performance. The impact would likely be felt globally, with Australian households particularly exposed due to their substantial holdings of U.S.-based AI stocks through retirement funds.

While this does not necessarily imply that the AI boom is entirely unfounded, timing becomes a critical issue. Nvidia, OpenAI, and Firmus are banking on future revenue growth from users and businesses to offset the massive investments currently being made in data center infrastructure. Until then, investors, lenders, and companies are filling the financing gap through complex interconnections.

The parallels with the 1990s telecom boom are striking. In that era, equipment manufacturers like Cisco Systems extended credit to customers to purchase their products, only to find themselves overwhelmed by excess capacity when the market eventually corrected. This episode serves as a cautionary tale about the dangers of over-optimism and under-regulation in emerging technologies.

The rapid development of artificial intelligence (AI) has led to a surge in demand for specialized chips that power AI systems. However, these cutting-edge chips have a surprisingly short lifespan, lasting only a few years before they become outdated.

This limited shelf life creates a precarious situation where shareholders and investors may bear the financial burden if the expected revenue and demand from businesses and consumers fail to materialize or fall short of projections.

The AI boom has created a complex web of relationships between technology companies, investors, and consumers, raising questions about who ultimately bears the risks and costs associated with emerging technologies.

Phys.org: https://phys.org/news/2026-10-paying-circular-money-machine-ai.html

The involvement of these six financial giants - Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR - underscores the importance of capital in the AI race. As the competition for dominance in artificial intelligence intensifies, companies are increasingly recognizing that access to funding is a critical factor in determining success. The ability to mobilize significant sums of money will be key to staying ahead in this field.

Historically, technological revolutions have been remembered for their groundbreaking technologies - steam engines, railways, and the internet. However, it's equally important to acknowledge the financial machinery that made these innovations possible. For instance, joint-stock companies played a crucial role in dispersing the risk associated with trading voyages, while early bond and equity markets provided financing for railroads before they could generate returns.

The rise of venture capital also supplied high-risk funding to companies too new or unproven to attract traditional investors. This financial infrastructure has been instrumental in supporting technological progress throughout history. As the AI revolution continues to unfold, it's clear that access to capital will be a vital component of success.

Nvidia's move to establish these financing platforms is a significant milestone in the company's evolution from chip-maker to industry leader. By leveraging its relationships with major financial players, Nvidia aims to create a new ecosystem for funding AI infrastructure. This development has implications not only for the company itself but also for the broader landscape of artificial intelligence.

As the world continues to focus on model releases, chip capabilities, and data center capacity, it's becoming increasingly clear that access to capital will be the decisive factor in determining who leads the AI pack. The United States remains at an advantage due to its deep capital markets, but China and Europe are working to close the technological gap by developing their financial infrastructure.

The cost of developing cutting-edge artificial intelligence systems is becoming increasingly expensive for even the world's wealthiest companies. For decades, software could be created once and distributed widely at minimal additional expense. However, AI has shifted this dynamic, requiring vast resources to design, manufacture, and power the sophisticated hardware needed to support it.

The five largest American hyperscalers are projected to spend $730 billion on capital expenditures in 2026 alone. A significant portion of these costs will be financed through debt, rather than being paid for directly from their own revenues. This has raised questions about the sustainability of their business models and whether they can continue to invest at this level without compromising their financial stability.

If the most profitable companies in history are struggling to fund their AI ambitions, what hope is there for smaller players or those just entering the market? The burden of financing these enormous investments will likely fall on investors who may be wary of taking on such risks.

Nvidia's recent deal with a group of investors marks an innovative approach to addressing this challenge. By structuring the investment as a project finance arrangement, similar to those used for infrastructure projects like power plants or toll roads, Nvidia aims to make AI-related investments more attractive to pension funds and insurers. This would allow these institutions to invest in compute infrastructure, just as they already do in traditional assets.

However, this approach also carries inherent risks. Unlike traditional infrastructure projects, which are designed to last decades and generate predictable returns, the hardware required for AI development is relatively short-lived, and demand can be unpredictable. Moreover, it's too early to accurately forecast returns on these investments, making them a more uncertain proposition than traditional assets.

The financial structure of the AI market is taking on a new shape, one that could influence the outcome of the technology race. This shift was made apparent by Nvidia's recent announcement, which introduced a novel financing model that diverges from traditional circular financing arrangements.

In this new setup, capital comes not from the companies themselves or their partners, but from external sources such as pension funds, insurers, and sovereign wealth funds. Household savings are also being tapped into to fund the buildout of AI technology. This approach reconfigures the cost of supply for a broader range of competitors beyond just the hyperscalers.

The financial architecture is playing a crucial role in determining which companies will emerge victorious in the AI race. Rather than simply throwing more money at the problem, the optimal use of capital is becoming a key factor in deciding who will succeed. This shift highlights the importance of effective financial structuring in achieving technological advancements.

The issue of accessing funds is particularly acute in Europe, where a substantial pool of savings exists but remains underutilized. Despite holding approximately 10 trillion euros ($11 trillion) in bank deposits, European institutional investors are more likely to invest in U.S. tech bonds than back their own startups. The problem lies not with the availability of capital but rather with the lack of infrastructure to convert savings into investment.

This mismatch between available funds and effective deployment is a significant challenge for Europe's technology sector. With the financial architecture playing an increasingly important role in determining the winners of the AI race, addressing this issue will be crucial for European companies to remain competitive.

To stay ahead in the AI race, European companies must address the issue of access to capital, which is becoming increasingly crucial for success in the field. This means developing a comprehensive strategy that integrates Europe's capital markets and facilitates the flow of funds into AI-related projects.

China, on the other hand, faces a different challenge. While state funding can be effective in building large-scale infrastructure, it often struggles to match capacity with demand. According to reports from last year, as much as 80% of newly constructed computing capacity in China remained unused after a government-led construction spree.

The United States has an initial advantage in the AI competition due to its expertise in converting household and pension savings into long-term investments at scale. America's bond markets, private credit funds, and asset managers are already seeking out assets that can support the growth of the AI industry, such as large-scale financing deals for chipmakers.

The first phase of the AI boom was driven by technical breakthroughs, but the next phase will depend on the financial system's ability to fund the expansion of the industry beyond a small group of companies. To compete with Nvidia's innovative approach to reconfiguring the economics of AI, other competitors will need to develop equally imaginative and effective financial strategies.

For European companies to remain competitive in the AI market, they must adapt their financial architecture to meet the changing needs of the industry. This may involve integrating capital markets and creating new financing mechanisms that can support the growth of AI-related projects.

The success of a technological revolution is not solely dependent on the development of innovative ideas, but also on finding ways to finance them.

To address this challenge, Brainstorm Tech International has organized an event that will bring together key stakeholders from various industries to explore strategies for turning technological advancements into sustainable business and societal value. The conference, scheduled for December 3 in Macau, aims to facilitate a dialogue between CEOs and founders of AI-related projects, technologists, investors, thinkers, and doers.

Fortune: https://fortune.com/2026/10/18/nvidia-ai-financing-capital-markets/

A system-wide frame rate cap can be an effective way to boost GPU performance without having to upgrade your hardware. This approach not only helps prevent screen tearing when combined with V-Sync but also decreases GPU load, leading to a smoother gaming experience.

In most games, capping your frame rate is a good idea, especially if you want to maintain stable performance while reducing the risk of screen tearing. By setting an fps limit, you can ensure that your hardware isn't overwhelmed and that you're getting the best possible visuals without sacrificing performance.

For gamers using VRR (Variable Refresh Rate) monitors, capping frame rates makes even more sense. This is because a cap helps keep in-game action within the effective VRR range, which typically starts at 48 fps and tops out at your display's maximum refresh rate.

When paired with V-Sync, limiting fps can be particularly beneficial for VRR screens. By ensuring that in-game frames stay below the refresh rate ceiling, you can enjoy a smoother gaming experience without screen tearing or other visual artifacts.

While capping frame rates may seem counterintuitive, it's an approach worth considering, especially if you're looking to squeeze more performance out of your existing hardware. In the next part of this article, we'll explore the specific scenarios where limiting fps makes the most sense and how to implement this strategy effectively.

Screen tearing occurs when a GPU sends a new frame to a monitor while it's still displaying the previous one, resulting in different parts of the two frames appearing on-screen simultaneously.

This phenomenon is particularly noticeable during fast-paced motion and can be quite distracting, making it a significant issue for gamers seeking an immersive experience. The visual effect manifests as flickering horizontal lines that can be quite jarring.

To mitigate this problem, some gamers opt to cap their frame rates using an fps limiter. Many games have built-in graphics settings that allow for frame rate capping, although these may not always be reliable or consistent across different titles and hardware configurations.

A more stable approach is to use the software provided by the GPU manufacturer. For instance, NVIDIA users can employ either the NVIDIA app or the Control Panel to cap their frame rates. The process typically involves navigating to specific settings menus, such as Manage 3D Settings > Global Settings > Max Frame Rate, and setting a desired fps target.

Those with AMD GPUs can also cap their frame rates using the Radeon Chill feature in the Gaming section of the Adrenalin software. This allows users to set both minimum and maximum fps values to the same rate, effectively limiting the game's frame output.

Another option for gamers is to use third-party programs that specialize in frame rate capping, such as Guru3D RTSS RivaTuner.

To determine the ideal output rate for your games, you need to consider your display's maximum refresh rate. This is because using a combination of V-Sync and frame rate capping can effectively eliminate screen tearing.

In most cases, setting your frame rate slightly below your screen's maximum refresh rate will achieve this goal. For example, on a 60Hz panel, aiming for 57 fps should be sufficient to prevent screen tearing. On higher-end displays like those with 120Hz or 240Hz refresh rates, you can cap your frame rate at levels just below their respective max values.

If you're using a display that supports Variable Refresh Rate (VRR), capping your frame rate slightly below the maximum refresh rate may also help reduce lag. However, this reduction is typically not significant.

When V-Sync is enabled on your PC, it ensures that your in-game performance doesn't exceed the maximum refresh rate of your display. For instance, if you play games on a 120Hz monitor with V-Sync turned on, your frame rate will be capped at 120 fps.

V-Sync's primary function is to synchronize your game's frame rate with the refresh rate of your monitor or TV. This means that before your GPU can push a new frame, it must wait for the display's refresh cycle to complete. The delay introduced by V-Sync varies depending on the display's refresh rate, ranging from 16.7ms on 60Hz panels to 4.17ms on ultra-fast 240Hz displays.

The time taken for V-Sync to synchronize your frame rate with the display's refresh rate is directly related to the monitor or TV's refresh cycle. On a 60Hz screen, this results in a 16.7ms delay, while higher-end screens like those with 120Hz or 240Hz refresh rates have shorter delays of 8.33ms and 4.17ms respectively.

Screen tearing can be a frustrating issue for gamers, causing breaks in immersion and disrupting the overall gaming experience. V-Sync is often touted as a solution to this problem, but it comes with its own set of drawbacks.

When enabled, V-Sync forces the GPU to wait until each individual refresh rate cycle is complete before generating new frames. This added delay can result in noticeable input lag, which is particularly problematic for gamers who demand the smoothest performance possible.

The amount of latency introduced by V-Sync can vary depending on the game and hardware configuration. As a general rule, enabling V-Sync tends to add one additional refresh cycle of lag, which equates to around 8.33ms in the case of a 120Hz monitor.

For gamers who rely on high frame rates to achieve consistent performance, there are alternative solutions available. NVIDIA's V-Sync Fast feature, accessible through the NVIDIA Control Panel under Manage 3D settings, aims to reduce standard V-Sync lag while providing a lower-tear experience.

By allowing the GPU to continue rendering frames without capping FPS, V-Sync Fast can provide a viable solution for gamers who want to eliminate tearing without sacrificing performance.

Engadget: https://www.engadget.com/2286478/limit-frames-per-second-gaming-when-makes-sense/

Proposition 40 is an unprecedented measure that has left many wondering how it will impact the wealthiest individuals in California. According to healthcare workers union leader Dave Regan, this novel idea aims to address a pressing issue: restoring $100 billion worth of health care cuts made by the federal government over the next few years.

The proposed tax on billionaires is a direct response to President Trump's "One Big Beautiful Bill," which includes significant cuts to Medicaid funding. This move could have severe consequences for three-and-a-half million people who risk losing their health insurance, as well as potentially affecting jobs in Regan's own union, SEIU United Healthcare Workers West.

Regan's tactics in promoting the billionaire tax have come under scrutiny from critics who argue that his methods are overly aggressive and potentially counterproductive.

The union leader has been making claims about the benefits of a five-year wealth tax, which he believes would raise significant revenue for California's coffers. When asked if this tax is indeed a viable solution, Regan unequivocally stated that it was.

The debate over the billionaire tax has sparked controversy and led some high-net-worth individuals to consider leaving the state in protest.

Opposition to the wealth tax has been vocal, with several billionaires choosing to leave California rather than face higher taxes. This includes venture capitalist Peter Thiel and Google co-founders Larry Page and Sergey Brin.

Critics of the billionaire tax argue that it would have unintended consequences, driving away the very individuals who could create jobs and stimulate economic growth in the state.

The proposed billionaire tax in California aims to address a fundamental issue: how to tax individuals who accumulate wealth through investments rather than income. This is a complex problem because most of a billionaire's wealth typically grows in stocks, which are not subject to taxation until they sell. As a result, the state misses out on significant revenue from these assets.

Tax experts point out that billionaires can pay substantial taxes in California, including income, property, and capital gains taxes. However, this is just one part of their tax burden, as most of their wealth remains untaxed due to the current system's loopholes. Critics argue that a billionaire tax would drive away high-net-worth individuals who could contribute to job creation and economic growth in the state.

Professor Ray Madoff from Boston College Law notes that the US tax system has essentially exempted the wealthiest Americans, much like the pre-revolutionary French aristocracy. While she supports Prop 40's goal of reforming the tax system, she believes meaningful change requires a federal-level overhaul.

The proposed billionaire tax in California is seen by some as a temporary fix rather than a long-term solution. Critics argue that it will not make a significant dent in the state's budget deficit, and that more comprehensive reforms are needed.

Polls on the issue have become increasingly divided, with voters now split on whether to approve Prop 40. Some proponents of the tax see it as part of a broader effort to address income inequality, while others view it as a necessary step towards reforming the state's tax system.

Not everyone is willing to weigh in on the issue, however - several billionaires contacted by our team declined to comment on Prop 40, except for one notable exception: Jensen Huang, founder and CEO of Nvidia.

Jensen Huang, founder and CEO of Nvidia, expressed a unique perspective on California's proposed billionaire tax when approached for comment. He acknowledged that paying $8 billion in taxes over five years would be a privilege, demonstrating his willingness to contribute to the state's revenue.

Dave Regan, the architect behind Prop 40, is already looking ahead to its potential impact beyond November and California's borders. According to him, other states will likely follow California's lead, similar to past instances where the state has paved the way for national reforms.

CBS MoneyWatch: https://www.cbsnews.com/news/proposition-40-californias-proposed-billionaire-tax-how-does-it-add-up/

These milestones have triggered warnings from bears who believe that the AI boom is about to go bust. However, the sector has consistently defied expectations, with earnings continuing to soar and stocks rebounding to record highs. Despite these successes, concerns remain about the sustainability of the current trend.

The borrowing binge by AI hyperscalers, such as those in the field of deep learning, has also raised red flags. Their astronomical capital spending plans have sparked doubts about the necessity of investing so heavily in this sector. The DeepSeek shock in early 2025, which highlighted concerns about the Chinese AI model's performance, further fueled these worries.

The admission by OpenAI CEO Sam Altman that an AI bubble exists has added to the fears on Wall Street. Michael Burry's bearish bets have also contributed to the growing sense of unease. Meanwhile, external factors such as global conflicts and market meltdowns in countries like South Korea have further heightened concerns about the sector's stability.

Despite these warning signs, investors remain committed to riding the AI wave, convinced that the good times will continue for a while longer. However, many acknowledge that eventually, the bubble will burst, leaving traders wondering how long they should hold on before getting out of the market.

The recent turmoil in the tech sector has sparked concerns about the sustainability of the current AI bubble.

One area of focus is CoreWeave, a cloud computing firm that has seen its stock plummet and credit default swaps surge. This decline has raised questions about whether the company's debt will become unmanageable. The firm's struggles have added to the growing unease surrounding the AI sector.

However, some analysts are cautioning against reading too much into these developments. Dan Greenhaus, a strategist at Solus Alternative Asset Management, notes that previous downturns in the market have been followed by new highs. He suggests that the current situation may be just another example of investors overreacting to minor setbacks.

The broader economic landscape is also contributing to the increased scrutiny of the AI sector. Higher borrowing costs and rising bond yields are making it more expensive for companies to issue debt, which has become a key funding mechanism for many AI startups.

The recent downturn in artificial intelligence (AI) stocks has left investors wondering if this is another "head fake or a genuine warning sign for the industry. Some analysts are pointing to CoreWeave's unsecured debt as a prime example of the risks involved.

CoreWeave's high-risk debt has been particularly targeted, with some experts labeling it the riskier of the riskier AI buildout play." This comes at a time when earnings from companies like Taiwan Semiconductor, which supplies chips for AI applications, indicate that demand remains robust.

As interest rates rise, the cost of borrowing for companies like CoreWeave increases. This could potentially put pressure on the entire AI ecosystem to find alternative funding mechanisms or cut costs. The question is whether this will be a gradual process or a sudden breaking point.

CoreWeave's CEO Mike Intrator has sought to reassure employees and investors that the company's deal backlog is sufficient to cover its debt obligations. Meanwhile, Nvidia CEO Jensen Huang has expressed confidence in CoreWeave's prospects, stating that the company's cost of capital is actually decreasing.

Despite some analysts sounding alarm bells, others on Wall Street remain optimistic about AI's potential for growth. They believe that even if revenue estimates are high, they may not be sufficient to support current levels of spending. Some have compared this situation to a need for AI data center owners to generate $8.5 trillion in revenue by 2030 just to cover costs and provide a return on investment.

The warning signs are growing louder as analysts warn that the AI investment boom may be facing a reckoning. According to Bank of America, the total revenue headed to data centers from enterprise and consumer AI will not meet initial expectations, with estimates now capped at $3.6 trillion.

This shortfall raises concerns about the asset value exposed to write-down risk, with over $4 trillion potentially affected by 2032. The analysts point out that this situation follows a classic capital cycle pattern, where high early profit margins lead to overinvestment and excess capacity. This, in turn, attracts more competition, ultimately resulting in disappointment.

The AI market has indeed seen increased competition from Chinese open-weight models, while business spending on AI is starting to decline as token prices fall despite rising volumes. Bank of America notes that this monetization disappointment in the face of intense competition mirrors past capital cycles, suggesting that the current boom may be unsustainable.

Fortune: https://fortune.com/2026/10/17/ai-boom-vs-bust-bubble-warning-hyperscaler-spending-debt-coreweave-nvidia/

According to our research, around 15 communications employees have left the company since 2025, based on LinkedIn profiles and interviews with former staff members. The organization's global headcount is now estimated to be between 70 to 80 people, more than doubling in size since Mylene Mangalindan took over as vice president of corporate communications in 2023.

Notably, the departures include both long-time employees and newer hires. Anna Soellner, who was tasked with leading corporate communications, left after approximately four months on the job. This is unusual for Nvidia, which boasts a high retention rate of 9% as reported in its latest sustainability report.

Nvidia's reorganization of its communications department has led to a significant shift in responsibilities for Mangalindan, who now oversees both corporate and enterprise public relations.

The consolidation of these teams under her leadership reflects the growing importance of Nvidia's data center business, which has become the company's largest revenue driver. This move is likely aimed at streamlining communication efforts and better positioning the company to address the evolving needs of its stakeholders. As a result, Mangalindan now oversees not only corporate communications but also product and industry messaging.

The reorganization has also seen analyst relations, social media, and influencer marketing come under Mangalindan's remit, further expanding her role within the company. This expansion is part of a broader trend at Nvidia, where staff have been struggling with increasingly heavy workloads due to the company's growing public profile.

The communications team at Nvidia has been feeling the strain of its growing public profile, with employees reporting long working hours and difficulty taking time off.

A source close to the company attributed this trend to its lean staffing model, which enables quick decision-making but also requires staff to put in extra hours to meet demands. This is particularly challenging during peak periods such as summer when vacation schedules can be difficult to coordinate.

Nvidia's culture of constant accountability and emphasis on operating at high speed have created a demanding work environment that is taking a toll on employees, with many feeling pressured to respond quickly to messages and emails outside regular working hours.

Business Insider: https://www.businessinsider.com/nvidia-reshapes-communications-ai-boom-departures-2026-10

The appointment of Mark Long, 59, as the company's new CFO comes at a critical time for Super Micro, which is still reeling from a $2.5 billion smuggling case and the arrest of one of its co-founders. Long has a strong background in finance, having previously served as CFO and chief strategy officer at Western Digital, a data storage company with a valuation of over $130 billion.

In addition to his experience at Western Digital, Long also runs an investment and advisory firm called Prime Impact Capital, which suggests he brings significant industry expertise to the role. Furthermore, he co-founded a special purpose acquisition company (SPAC) that raised $300 million before merging with a Beijing-based auto insurance technology platform in 2023.

Long's appointment as CFO is likely intended to help Super Micro regain credibility with investors, many of whom have been skeptical about the company's financial management since the internal investigation and subsequent scandals. With his extensive experience in tech finance and investing, Long may be able to provide much-needed stability to the company's leadership team.

The indictment of Yih-Shyan "Wally" Liaw, co-founder of Supermicro, has shed light on a complex and shocking smuggling case allegedly involving $2.5 billion worth of the company's hardware loaded with Nvidia's export-controlled chips being illegally routed to China.

According to the Department of Justice and FBI, Liaw and two others associated with Supermicro used deceitful tactics to evade detection, including removing sticky labels from servers using hairdryers and creating thousands of dummy servers that mimicked actual Supermicro equipment.

Supermicro has maintained its innocence in this case, stating it is fully cooperating with law enforcement. Liaw has pleaded not guilty to the charges, but his arrest has sparked another internal investigation by the company's board, separate from a previous probe that led to the search for a new chief financial officer.

The latest investigation found no evidence that current senior management members were aware of the alleged smuggling scheme. However, Liaw's involvement in this case raises questions about his past actions and decisions while at Supermicro.

Liaw had previously served on the Supermicro board and had a long history with fellow co-founders Charles Liang and Sara Liu, who are also married and serve together on the company's board.

Before his arrest, Liaw had re-joined the board in December 2023 after previously leaving to work as a consultant for the company from May 2021 onwards.

The investigation into Supermicro's accounting practices led to the abrupt resignation of auditor EY in 2023, prompting a probe into export controls and rehiring of employees who had resigned after an earlier accounting investigation in 2017.

Weigand, CFO and chief compliance officer at the time, was held responsible for process lapses uncovered by the investigation, including a consulting arrangement with the former CFO that EY wasn't informed about. This led to a commitment from Supermicro to replace Weigand with a more experienced CFO by December 2024.

The company's woes deepened when Liaw's arrest in March 2026 triggered a new wave of subpoenas and inquiries. The U.S. Attorney's Office for the Southern District of New York, as well as foreign authorities, the Securities & Exchange Commission, and the Bureau of Industry and Security, all sought information from Supermicro related to Liaw's indictment and the company's compliance program.

The case against Liaw has been ongoing, with his trial initially set for November 2026 before being pushed back to March 2027. His lawyer argued that documents provided by Supermicro could be material to his defense, leading to a delay in proceedings.

A new CFO has been named for Supermicro, bringing fresh leadership to the company amidst ongoing investigations into a major smuggling case.

Sun's court records show that he pleaded guilty to deleting an encrypted messaging app on his phone on March 19, 2026, and is facing up to 20 years in prison for obstruction and conspiracy charges. His sentencing is scheduled for September 2027 and he will also have to forfeit any profits made from the export offenses.

The new CFO's appointment comes as the company continues to grapple with the fallout of a $2.5 billion smuggling case that led to the arrest of one of its co-founders. The board has recently added two new members, including Shesha Krishnapura, Intel's former IT CTO, and Judy Lin, who previously served as vice president at Western Digital from 2007 to September 2012.

As part of his compensation package, Long will receive a base salary of $725,000, plus a signing bonus of $500,000. He is also eligible for additional cash bonuses and an annual equity grant based on company performance and individual achievement. His initial equity grant has been valued at approximately $4.1 million.

Long's appointment as CFO brings some stability to the company after a tumultuous period, but it remains to be seen how he will navigate the complex web of investigations and regulatory scrutiny that Supermicro is currently facing.

Supermicro has finally appointed a new Chief Financial Officer (CFO) after months of uncertainty following a tumultuous period for the company. Charles Liang, the CEO, welcomed the appointment and expressed his gratitude to outgoing CFO Weigand.

The new CFO, Long, is expected to have an immediate positive impact on the company's financial execution, according to Liang. Weigand will remain in place to assist with the transition, but further details about his role during this period are yet to be disclosed by Supermicro. The appointment brings a sense of stability to the company as it navigates ongoing investigations and regulatory scrutiny.

Fortune: https://fortune.com/2026/10/15/supermicro-new-cfo-mark-long-western-digital-nvidia-smuggling/

NVIDIA and Apple are the biggest donors, each committing $25 million to the project. Billionaire Charles Ergen, co-founder of Dish Network, has also pledged a similar amount. These companies have all reaped significant benefits from Trump's policies during his second term in office.

NVIDIA and Dish have seen notable gains as a result of regulatory decisions favorable to their interests. Apple, meanwhile, is believed to be seeking favor with the administration to avoid tariffs on its products. This strategy has been a common approach for companies looking to navigate the complexities of international trade under Trump's presidency.

The list also includes other major tech companies that have donated millions towards the ballroom project. Microsoft, Meta, Palantir, Google, Amazon, and Cisco are among those who have contributed significant amounts. The scale of these donations is not entirely unexpected, given the extensive involvement of these companies in funding Trump's inauguration in 2025.

The fact that taxpayers are also footing some of the bill for this expensive project raises questions about the use of public funds for a private endeavor. Further details on the donors and their motivations will likely emerge as more information becomes available.

The donors behind President Trump's ballroom project in Washington D.C. have been revealed to be a mix of tech and telecom companies, as well as wealthy individuals with ties to the administration. Sheldon Adelson, a prominent Republican donor, contributed $25 million to the project. Other notable donors include Blackrock, Lockheed Martin, Gemini, and Coinbase, which all gave millions of dollars.

The lack of transparency surrounding these donations is striking, given that they are not subject to public disclosure or campaign finance rules. This means that up to $77 million in funds could be unaccounted for, with no clear information on who donated the money or why. The funds are being funneled through a nonprofit organization that the President directly controls.

Despite his repeated claims that he would personally cover the costs of the project, there is no evidence that President Trump has contributed any significant amount of money to the ballroom. His promise to pay for it "a hundred percent" seems to be at odds with the reality of the situation.

As the expected budget for the ballroom continues to rise, concerns are growing about how much American taxpayers will ultimately have to foot the bill. The Washington Post has reported that around half of the costs could be borne by taxpayers, which is a worrying prospect given the project's already inflated price tag of $600 million.

Several high-profile donors with ties to the administration have also been linked to the ballroom project, including Joseph Popolo Jr., who donated $1 million after being chosen as ambassador to the Netherlands. He failed to report this donation, raising questions about potential conflicts of interest and undue influence on the President's decision-making process.

The investigation has uncovered a significant donation made by Isabela Herrera, daughter of international banker Herrera Velutini, to Trump's ballroom. She donated $2.5 million, with the first payment installment of $835,000 made in October 2025.

Herrera Velutini himself had faced bribery charges and pleaded guilty. Notably, he was later pardoned by the President in January. White House spokesperson Davis Ingle responded to this revelation, expressing frustration over the leak and vowing to protect donors while pursuing those responsible for releasing the information.

Engadget: https://www.engadget.com/2287913/trump-ballrooms-biggest-donors-were-overwelmingly-tech-and-telecom-companies/

Nvidia has released its latest offering, the Nemotron 3.5 Super VL, an open-weight model aimed at addressing the growing demand for agentic work. This new model boasts an impressive 120 billion parameters and is designed to deliver high-speed task completion and accuracy for specialized agents.

According to Nvidia's claims, the Nemotron 3.5 Super VL outperforms its competitors in terms of speed, achieving a significant milestone as the fastest open agentic model in its class. In benchmark testing conducted by Artificial Analysis, the model demonstrated exceptional performance, leaving other similarly sized models like Ling 3.0 Flash and V4.1 Flash far behind.

Nvidia has emphasized the capabilities of the Nemotron 3.5 Super VL to achieve top-tier accuracy for specialized agents through post-training. The company highlighted a notable example where the base model saw a substantial gain in medical insurance claims, reaching a 44% improvement when fine-tuned.

The release of this new model provides enterprises with an opportunity to tailor their AI solutions and reap specific benefits, as seen in the case study mentioned by Nvidia. While proprietary models may still hold a slight edge, Super VL's adaptability gives it a distinct advantage in this competitive landscape.

The Nemotron 3.5 Super VL from Nvidia offers businesses greater flexibility and control over their AI models by allowing them to post-train on their own data and run on their own infrastructure.

This adaptability is a significant advantage in the competitive landscape of AI, where proprietary models often hold a slight edge due to their tailored performance and support.

Nvidia's new edge models, Nemotron 3.5 Bolt 74B-A9B 24GB and Nemotron 3.5 Bolt E4B 4GB, are designed for local operation and off-grid use, catering to different needs and applications.

The company claims that these edge models deliver exceptional intelligence per gigabyte of memory, making them suitable for various tasks such as voice recognition, device agents, and interactive characters.

While the efficiency gains demonstrated by Artificial Analysis' findings suggest a promising future for Nvidia's new model, it remains to be seen whether it will set a new standard for open-weight or proprietary models in practice.

The release is part of a broader shift in the AI world, where open models from companies like DeepSeek and Moonshot.ai are gaining traction due to their promise of customization, cost-effectiveness, and flexibility.

The shift towards open-weight AI models is gaining momentum in the industry, with US-made models now being considered a viable option for various applications. This change in perception follows the OpenAI Hugging Face breach, which challenged the notion that only open models pose security risks.

This development may help close the geography gap between US and Chinese open-weight models, as American companies like Nvidia are now competing directly with their Chinese counterparts. As a result, the use of foreign technology is being reevaluated in light of cybersecurity guidelines, potentially paving the way for increased adoption of open models globally.

ZDNet: https://www.zdnet.com/innovation/nvidia-nemotron-3-5-super-vl-model-us-open-weight-ai/

The sudden shift in investor sentiment has been attributed to concerns over the potential risks associated with artificial intelligence (AI). Many leaders in the AI space have sounded warnings about the dangers of unchecked technological advancement, but Nvidia CEO Jensen Huang remains unswayed by these warnings.

Huang dismissed the existential-risk warnings from experts like Anthropic's Dario Amodei, stating that AI is "completely in our control." His stance has sparked debate within the tech industry, with some questioning whether the pursuit of advanced technologies poses a risk to human civilization.

The global wave of selling is not limited to tech stocks alone. Market volatility has been on the rise as investors scramble to adjust their portfolios in response to shifting market conditions. The uncertainty surrounding the future trajectory of AI and its potential impact on society has created an atmosphere of caution among traders.

As the situation unfolds, it remains to be seen how this trend will continue and whether futures markets will accurately predict the outcome. One thing is clear: the current market volatility has left investors with a lot to consider as they navigate the complexities of emerging technologies.

The tech sector has taken a significant hit globally, with many stocks plummeting in value over the past day. The South Korean KOSPI index, which is heavily weighted towards technology companies, fell by 7.57% and was temporarily halted due to trading volatility.

Despite some positive news for the sector, investors seem to be fleeing tech stocks en masse. Chipmaker TSMC reported better-than-expected earnings for Q3 and announced plans to increase capital expenditure over the next two years. Apple also reached a new record high, becoming only the second company after Nvidia to surpass a $5 trillion market capitalization.

However, these positive developments failed to stem the selling tide, with many tech companies experiencing significant declines in value. CoreWeave lost 15.46% of its value yesterday and shed another 5.89% overnight, while Oracle was down by 8.83%.

The sell-off has also extended to the bond market, where investors are struggling to decide whether the benchmark 10-year U.S. Treasury is a safe haven or an asset that offers a higher risk premium.

In the midst of this market uncertainty, it's clear that investors are reevaluating their positions in the tech sector and other emerging technologies.

Market sentiment has taken a drastic turn in recent days, with investors increasingly wary of holding onto tech stocks and emerging technologies. This shift is reflected in the futures market, which is signaling that today will be another day of significant losses for these sectors.

Meanwhile, new data suggests that Europeans remain optimistic about their future, despite growing concerns over economic uncertainty. According to a recent survey, 76% of Europeans are looking ahead with confidence, with Denmark and Slovenia topping the list of happiest nations. France, on the other hand, is the least optimistic country in Europe, but even here 62% of people still express happiness about their future prospects.

The disparity between positive and negative news coverage may be contributing to this sense of optimism among Europeans. Analysis of 35 years' worth of Wall Street Journal articles has found that bad news generates far more follow-up stories than good news, meaning that negative headlines tend to stick in the public consciousness.

In a separate development, economists are tracking the economic impact of Brexit on the UK, with estimates suggesting that the country has lost around 6% of its GDP so far due to the decision to leave the EU.

The global market has seen a significant shift in recent days, with traders increasingly selling off their tech stocks and futures signaling that this trend is likely to continue today. This wave of selling has been driven by concerns over the economic downturn and its impact on various industries.

Avocado consumption in the US has undergone a remarkable transformation since the 1990s. Prior to 1993, avocados were not widely available in American markets due to import restrictions. However, with the relaxation of these regulations, particularly in 2007 when year-round access was granted to all 50 states, American consumers began to take a greater liking to the fruit.

As a result, avocado consumption has skyrocketed, with per-capita intake increasing sevenfold since the 1990s. According to industry insiders, this growth is attributed to increased availability and changing consumer preferences, with Americans now consuming an average of 9.5 pounds of avocados per person each year.

Fortune: https://fortune.com/2026/10/15/wall-street-us-economy-vulnerable-stocks/

These books delve into the lives of key figures who have shaped the technology landscape. They are not just dry company histories but also stories of innovation, drama, and transformation that can be both enlightening and entertaining to read.

For those looking for a biographical approach, there are several options available. One such book is about Nvidia's cofounder and CEO Jensen Huang, which offers an in-depth look at the company's journey from humble beginnings to becoming one of the most valuable companies on earth.

The biography in question provides a balanced view of Huang's leadership style, highlighting both his successes and shortcomings. It also explores how Nvidia's focus on GPU manufacturing for gaming led to its expertise in parallel processing and AI development.

For a more nuanced understanding of Nvidia's history, readers may want to consider an alternative perspective offered by Tae Kim in The Nvidia Way: Jensen Huang and the Making of a Tech Giant.

In this book, Kidder reveals the inner workings of Data General during the 1970s as it struggled to design and release a successful next-generation minicomputer. He weaves a fascinating tale that captures the tension between management and creatives and highlights the intense time pressure on engineers.

Kidder's account is positively prescient about the dangers of burnout for the unsung heroes who sacrifice so much to build new machines. His book has been recognized with a Pulitzer Prize, making it a must-read for anyone interested in technology or its impact on society.

The book's insights into leadership and project management are particularly relevant today, as companies continue to grapple with the challenges of innovation and growth.

The convergence of wellness and far-right ideologies has been a puzzling phenomenon for many, with ordinary people swallowing misinformation that fuels racism and climate denialism. Naomi Klein, a leftist journalist and climate activist, offers convincing answers in her book.

Klein's work is challenging to read, but it was the most important book of 2023, providing a brutally honest critique of capitalism and social media's role in the rise of narcissism. The book's insights into leadership and project management are particularly relevant today, as companies continue to grapple with innovation and growth challenges.

The book delves into how people confuse Klein with Naomi Wolf, a third-wave feminist turned anti-vaxxer. This confusion is just one example of the rabbit hole that Covid conspiracy theories have led us down.

Klein's book offers a fascinating exploration of the intersection of wellness and far-right ideologies. It provides a compelling explanation for why ordinary people are being drawn into this misinformation.

Released around the same time as Klein's book was another notable publication, Walter Isaacson's biography of Steve Jobs. This book takes a deep dive into Jobs' life and explores his enduring legacy.

Isaacson was handpicked by Jobs himself, who granted over 40 interviews to his biographer before passing away. The book offers an accessible account of Apple's rise and the development of its iconic products, including the Mac, iTunes, iPhone, and iPad.

Jobs' intense passion and ambition are on full display in Isaacson's biography, which also highlights his ruthlessness and ability to marry creative ideas with technological innovations.

The darker side of the internet's collective consciousness is laid bare in Ronson's compelling exploration of online shaming. Through a series of case studies, he examines the consequences of relentless public humiliation on individuals and society as a whole.

Ronson's narrative weaves together the threads of several high-profile scandals, each one revealing a disturbing pattern of mob mentality fueled by social media. The stories are both fascinating and unsettling, shedding light on the devastating impact of shame empowered by online platforms.

The author's own experiences and insights add depth to the analysis, making for a captivating read that is as entertaining as it is thought-provoking. Those looking for non-fiction recommendations would do well to consider Ronson's work, which includes The Castle: Adventures in a World of Unraveling Men and The Psychopath Test: A Journey Through the Madness Industry.

Apple's relentless pursuit of profit has led to significant consequences, including the outsourcing of its manufacturing operations to China. This decision has had far-reaching economic, political, and cultural implications for both Apple and the US.

Former Apple executives and engineers have shared their perspectives with McGee, providing a detailed understanding of what drove this strategic choice and its long-term effects on the company's reputation and global influence.

In Levy's book In the Plex, readers are given an unprecedented look at Google's inner workings. The author secured exclusive access to explore the factors that contributed to the company's success in expanding into new areas and shaping the world through its products.

Levy's narrative offers a unique glimpse into the culture and decision-making processes within Google, providing valuable insights for anyone looking to understand the dynamics of one of the world's most influential companies.

The concept of "enshittification has gained widespread acceptance in recent years, describing a process where technology initially improves but eventually degrades as companies prioritize profits over user experience. This phenomenon is attributed to Cory Doctorow's theory, which highlights the importance of interoperability in preventing such decline.

Interoperability refers to the ability of different systems or platforms to work seamlessly together, allowing users to switch between services without being locked into a single ecosystem. Doctorow suggests that this could be the key to reversing the trend of enshittification and restoring a more user-friendly internet.

However, when ambitious projects go awry, they often attract criticism rather than praise. A notable example is Theranos, a blood testing company founded by Elizabeth Holmes. Despite its promise to revolutionize medical diagnostics with a machine that could perform tests using just a drop of blood, the technology was found to be severely inaccurate.

Theranos' failure was not due to a lack of resources or talent, but rather its founder's refusal to admit defeat. The company raised hundreds of millions of dollars in funding and employed over 800 people before its collapse. Holmes herself is currently serving an 11-year prison sentence for fraud related to her company's activities.

The rise and fall of Theranos serves as a cautionary tale about the dangers of prioritizing hype over substance, particularly in the tech industry. This phenomenon has been dubbed fake it till you make it, where companies exaggerate their capabilities in order to attract investment and attention.

In this context, Becker's book offers a critical examination of Silicon Valley ideology and the narratives promoted by tech billionaires. By delving into the philosophies and movements that underpin these narratives, Becker seeks to expose what he sees as delusional rationalizations for the accumulation of wealth and power in the industry.

Becker's work is notable for its thorough research and well-argued critiques, which aim to debunk the self-serving ideologies promoted by tech leaders. While his book may be depressing at times, it provides a necessary counterpoint to the often-glaring flaws in the tech industry's self-image.

The world of artificial intelligence has been a hot topic in recent years, and for good reason. It's an area that is both fascinating and intimidating, with its own set of rules and limitations. A new book delves into machine-learning algorithms in an accessible way, making it easy to understand even the most complex concepts.

Written by a research scientist behind the popular AI Weirdness blog, this book is a must-read for anyone curious about AI. The author explains how machine learning really works, highlighting its strengths and weaknesses in a clear and concise manner. What's more, the writing is witty and engaging, peppered with practical examples that are often laugh-out-loud funny.

The world of tech billionaires is also explored in a new book, which takes readers on an adventure into the mind of one such individual. The author charts the power shift in Silicon Valley startups from money men" to "idea men and engineers. This modern captain of industry is restless and constantly dissatisfied, making for an interesting read.

The book's subject is not likable, but his story is nonetheless compelling. The author attempts to uncover what drives this individual's endless pursuit of the next thing, and his seemingly unquenchable desire for more. The use of a computerized superyacht as a frame for the story adds an extra layer of interest.

The battle to make AI mainstream is often framed as a competition between CEOs, but one book takes a different approach. Instead of focusing on the idealists and their goals, it shows how even those with good intentions can be swayed by billionaires and end up selling out.

This book is essential reading for anyone who wants to understand the forces driving the AI arms race. It explores how bloated valuations have led to political power and raises a laundry list of ethical and legal concerns surrounding AI. The author does a good job of shedding light on these issues, making it an enlightening read.

The tech industry's self-image is often at odds with reality, and this book provides a necessary counterpoint. It's not always easy to read, but the insights gained are well worth the effort. For those who want to understand the complexities of AI and its impact on society, this book is a must-read.

The Silicon Valley phenomenon has long fascinated observers of technological innovation, but few have attempted to explain its rise to prominence in a clear and comprehensive manner. Margaret O'Mara, a history professor at the University of Washington, sheds light on this complex topic through her book, which seamlessly weaves together diverse sources such as interviews and biographies.

O'Mara's work exposes the often self-mythologized narratives of tech founders and companies, revealing instead the crucial role played by government support in their ascent. By examining the historical context in which Silicon Valley emerged, she provides a nuanced understanding of how this region came to dominate technological innovation worldwide.

For those seeking an insider's perspective on the tech industry, another book worth considering is Uncanny Valley: A Memoir" by Anna Wiener. This memoir offers a unique glimpse into the world of high-tech entrepreneurship and the experiences of those who have navigated its complexities.

In addition to these recommendations, readers may also find value in exploring other books that delve into the history and impact of technology on society. These works offer a range of perspectives and insights, from the role of government support to the personal stories of tech industry pioneers.

Ultimately, understanding the intricacies of technological innovation requires a multifaceted approach that incorporates historical context, personal narratives, and critical analysis. By exploring these diverse perspectives, readers can gain a deeper appreciation for the complex forces shaping our modern world.

Wired: https://www.wired.com/gallery/best-tech-books-to-gift/

The actor explained in an interview that he gathered all the harsh criticisms, creating a thick book full of negative comments, and then sat down to read them over two days. This experience was not easy for him, as he acknowledged it was "hard" to go through such criticism.

McConaughey's decision to collect and read his worst reviews was motivated by a desire to understand the perspectives of those who criticized him. He highlighted that there are different types of critics, with some writing solely to express their dislike for him, regardless of whether they had even seen his work.

However, not all negative reviews were driven by personal animosity towards McConaughey. Some criticism was constructive and helpful in identifying areas where he could improve his performances.

Matthew McConaughey's desert retreat was not just a chance to unwind, but also an opportunity to reflect on his work and learn from criticism. He spent several weekends reading 20 years' worth of reviews, which he believes helped him identify areas where he could improve.

The actor has spoken about the value of constructive feedback in shaping his performances. He notes that some critics are genuinely trying to point out weaknesses or areas for improvement, while others may be motivated by personal biases or a desire to tear someone down.

McConaughey's willingness to engage with criticism is not unique among high-profile stars. Jason Bateman, known for his role in the hit series Ozark, has also spoken about the importance of reading reviews and taking feedback on board. This approach can help actors stay grounded and focused on delivering their best work.

The lessons learned from negative reviews are not limited to the entertainment industry. McConaughey believes that the ability to separate constructive criticism from personal attacks is a valuable skill that can be applied across various disciplines. By learning to distinguish between helpful feedback and malicious criticism, individuals can gain a deeper understanding of themselves and their areas for improvement.

The process of reflecting on one's work and seeking out constructive feedback is an ongoing process. McConaughey's desert retreat was just one part of this journey, which he continues to this day as he writes about his experiences in his book Greenlights .

As a high-achiever in his own right, Matthew McConaughey's approach to criticism is not unique.

For some, success breeds complacency, but for others like Jensen Huang, CEO of Nvidia, it fuels an insatiable drive to improve.

Huang has built the company from the ground up, growing its value to a staggering $5.5 trillion over more than three decades.

But despite this monumental achievement, he still works tirelessly, seven days a week, and admits to being in a state of perpetual anxiety about the company's future.

This relentless pursuit of excellence is driven by Huang's conviction that success requires sacrifice and hard work.

Patrice Louvet, CEO of Ralph Lauren, emphasizes the importance of direct feedback in achieving success. He believes that harsh criticism can be a wake-up call for individuals and organizations, making them realize areas where they need to improve.

Louvet's approach is echoed by Gagan Biyani, CEO of Maven and co-founder of Udemy, who incorporates live critiques into his interview process. By presenting candidates with immediate feedback, often in front of a panel, Biyani aims to gauge their ability to absorb constructive criticism.

This assessment method has proven to be a crucial factor in determining whether a candidate is a good fit for the company. According to Biyani, if a candidate becomes defensive or uncomfortable during this exercise, it may indicate that they are not suited for the role.

By prioritizing feedback and self-improvement, leaders like Louvet and Biyani demonstrate their commitment to excellence in their respective fields.

Fortune: https://fortune.com/2026/10/13/despite-his-200-million-success-matthew-mcconaughey-spent-a-weekend-in-the-desert-reading-20-years-of-bad-reviews-he-says-some-of-them-had-a-point/

One approach is to make some tweaks to your graphics settings. This can include reducing graphics quality or resolution, but it's not just about sacrificing visual fidelity. With the right adjustments, you can still enjoy a smooth gaming experience while making the most of your current hardware.

In an era where graphical advancements are outpacing hardware evolution, getting the most out of your existing GPU is crucial. This means exploring ways to optimize performance without relying on costly upgrades or new purchases.

To boost FPS performance in your favorite games, consider implementing supersampling techniques. By rendering graphics at a higher resolution and then downscaling them, you can achieve better visuals while reducing the strain on your GPU.

Some gamers have reported significant improvements in frame rates by maintaining their GPUs through regular cleaning and dust removal. This simple step can help prevent overheating and ensure that your card runs at its optimal capacity.

The reliance on supersampling technologies has become a crucial aspect of maintaining stable performance at high resolutions, particularly in graphically demanding games.

NVIDIA's DLSS 4.5 and AMD's FSR 4 have been shown to produce image quality comparable to playing games at native resolution, while significantly boosting performance. These technologies work by rendering the game at a lower internal resolution before using deep learning techniques to upscale the final image to a higher pixel count.

The benefits of supersampling are clear: free frames with minimal downside, making it an attractive solution for gamers looking to improve their GPU performance without upgrading their hardware. The current iterations of DLSS and FSR have made significant strides in this area.

However, NVIDIA's DLSS 4.5 Multi Frame Generation tech introduces a trade-off - while capable of producing high frame rates, it adds serious input latency in supported games. This is particularly noticeable with the x6 modifier enabled.

The impact of input latency on gaming experience cannot be overstated, and gamers may need to weigh the benefits of DLSS 4.5 against its drawbacks. Meanwhile, earlier incarnations of Team Green's tech that top out at x2 and x3 modifiers perform well in supported titles, with fewer visual artifacts than MFG.

Lowering graphical settings is often the most straightforward way to boost GPU performance. This may seem obvious, but it's essential to acknowledge that not all graphics cards can handle the demands of modern games at high preset levels. If your GPU is struggling to keep up with a demanding title, reducing settings to Balanced or even Performance can help alleviate frame drops.

While some players might be concerned about sacrificing visual fidelity for performance gains, many gamers won't notice the difference in certain features like ambient occlusion and screen space reflections. By tweaking in-game sliders, you can experiment with different settings to find an optimal balance between graphics quality and frame rate.

However, it's worth noting that not all games benefit from complex rendering techniques. In fast-paced genres such as first-person shooters or racing games, the visual impact of these features is often negligible. Disabling unnecessary effects can help free up GPU resources for more critical tasks, potentially leading to a smoother gaming experience.

An increasing number of PC titles offer intuitive graphics menus that allow players to preview the effect of different settings on the game world. These menus can be particularly helpful in determining which features are truly noticeable and worth keeping enabled. If you're unsure about the impact of a particular setting, it's always a good idea to consult these preview panes before making any adjustments.

By taking a closer look at your game's graphics options and tweaking settings accordingly, you may find that a few simple changes can make a significant difference in your GPU performance. This can be especially true for games that don't require the most advanced visual effects to deliver an enjoyable experience.

Cleaning and maintaining your PC's interior is crucial for optimal performance, especially when it comes to graphics-intensive tasks like gaming. A cluttered system can lead to a decrease in frame rates due to thermal throttling, which occurs when dust accumulates on the fans and prevents proper airflow.

Dust buildup around the GPU's fans can cause the card to reach its temperature limit more quickly, resulting in reduced core clock speeds and decreased performance. This is particularly problematic for GPUs that are already struggling with intense tasks, as it can exacerbate existing performance issues.

To prevent thermal throttling, regular maintenance is essential. This includes cleaning the interior of your PC, paying close attention to the fans and heat sinks surrounding your GPU and CPU. A buildup of dust can lead to decreased airflow, causing temperatures to rise and impacting overall system performance.

When cleaning your GPU, it's essential to take precautions to avoid damaging any components. First, switch off your PC and unplug it from the power source. Then, use a can of compressed air to gently disperse debris from the fans, taking care not to spray the can too closely or at an angle that could damage the card.

A soft microfiber cloth is also necessary for cleaning the GPU's surface, as it will help prevent scratches and other damage. Use short spurts of air to remove any remaining dust particles, then wipe the card gently with the cloth to keep it clean and free from debris.

Cleaning your PC regularly can have a significant impact on its performance, especially when combined with other methods for boosting GPU power. By keeping your system tidy and well-maintained, you can help ensure that your graphics card is running at optimal levels, even without upgrading to a new one.

Keeping a graphics card in good working order requires attention to its software as much as its hardware. Outdated drivers can hinder performance, so it's essential to ensure your GPU driver is updated regularly for optimal results.

To further optimize your system, consider closing unnecessary background applications that consume resources and distract from gaming performance. For those seeking more advanced tweaks, overclocking the GPU can be an option, but this requires caution and a deep understanding of the process, which can be safely managed using tools like MSI Afterburner with thorough research.

Engadget: https://www.engadget.com/2281650/how-to-boost-gpu-performance-without-buying-new/

In an interview with ITV, Smith proposed that governments adopt established production safety practices for AI development and deployment. He also suggested that companies build "kill switches into their systems, allowing operators to shut down a malfunctioning AI in the event of an emergency. This would provide an added layer of protection against potential risks associated with AI.

The issue of AI regulation has been gaining momentum in recent months, with growing concerns about the safety and accountability of these complex systems. Despite voluntary industry commitments to safety, many experts believe that more stringent regulations are needed to manage the potential risks posed by AI.

Microsoft CEO Satya Nadella echoed Smith's sentiments over the weekend, arguing that companies often lack a deep understanding of the tools they deploy. In a lengthy post on X, Nadella called for slower development and deployment of AI systems, as well as greater transparency through incident reporting and independent review.

The recent string of high-profile incidents involving rogue AI agents has raised further questions about the need for more robust regulation. These cases have sparked concerns about the existential risk posed by uncontrolled AI, with many experts calling for a pause in development until these issues can be addressed.

The Microsoft president has emphasized the need for contained systems in artificial intelligence development. In a recent statement, Brad Smith noted that current regulations are inadequate, while his colleague Satya Nadella called for AI to be designed with limits that can be tested and controlled.

Nadella's comments come after top tech executives met with President Donald Trump, who proposed renaming AI as super intelligence. Several prominent figures, including CEOs from Anthropic, Google, Meta, OpenAI, Nvidia, and xAI, signed the White House Accord on Super Intelligence. This voluntary agreement aims to establish internal oversight committees and work with independent auditors.

However, Microsoft does not appear to have joined this accord, despite Nadella using the term super intelligence in a recent post. Smith's comments also suggest that his company is taking a cautious approach to AI development. In contrast, OpenAI's Sam Altman seems more willing to accept some risks for the sake of progress.

Microsoft has taken steps to address safety concerns with its release of Microsoft Execution Containers. This enterprise security feature restricts AI models' access to files and programs and provides a built-in kill switch in case of emergencies. The move is seen as an attempt by the company to engage in the discussion on safety guardrails for AI development.

The differing views within the tech industry on regulation highlight the complexity of the issue. While some, like Zuckerberg and Nvidia's Jensen Huang, continue to reject calls for a coordinated slowdown in AI development, others are pushing for stronger oversight. The debate is likely to continue as companies navigate the risks and benefits associated with AI advancement.

The lack of regulation in the AI industry has sparked intense debate, with some experts warning that the absence of oversight poses significant risks to public safety.

Despite growing concerns about the potential dangers of unregulated AI, it seems unlikely that the current administration will take a more comprehensive approach to addressing these issues. Recent comments from high-ranking officials suggest that they are hesitant to impose stricter regulations on the industry as a whole.

The president's stance on AI regulation has been particularly puzzling, given the growing number of incidents highlighting the need for greater oversight. In a recent social media post, he downplayed concerns about AI safety, implying that the issue is being blown out of proportion and that a strong and smart president is all the industry needs.

Critics argue that the current regulatory framework is fundamentally flawed, allowing companies to define their own security threats and respond accordingly. This has led some experts to question whether the focus on rogue AI" incidents is merely a smokescreen for corporate negligence.

The notion that rogue AI incidents require stricter regulations has sparked debate among experts, who argue that corporate accountability is being sidestepped through voluntary self-regulation efforts.

According to Dr. Gebru, the focus on potential future dangers of autonomous AI systems serves as a distraction from current lapses in safety and security practices within the industry. By shifting attention away from existing issues, companies can avoid liability for their own negligence.

Regulatory capture is a pressing concern, where corporations influence the creation of rules meant to govern them, ultimately undermining public trust in these entities that develop and profit from AI technologies.

CNET: https://www.cnet.com/tech/services-and-software/microsoft-president-ai-has-fewer-regulations-than-milk/

The Surface Laptop Ultra, which was unveiled during the event, boasts impressive specs including up to 128GB of shared system and graphics RAM powered by NVIDIA's RTX Spark platform. Microsoft demonstrated the laptop's capabilities by running multiple resource-intensive apps simultaneously without any issues.

One notable aspect of the Surface Laptop Ultra is its charging port, Magnetic Connect, which was highlighted as a key feature during the presentation. This suggests that Microsoft considers it an important innovation in itself.

Magnetic Connect bears some resemblance to Apple's MagSafe charging ports on MacBooks, which are known for their proprietary design. However, there are significant differences between the two systems.

Microsoft has taken a different approach with Magnetic Connect, opting for a standard Power Delivery-equipped USB-C port paired with a custom magnetic charging cable. The cable features a funnel-shaped tip that aligns automatically with the port, allowing for smooth insertion.

The versatility of Microsoft's Magnetic Connect port is one of its key advantages over Apple's MagSafe technology for MacBooks. This flexibility allows users to repurpose the port for various tasks beyond charging their devices, such as connecting an external monitor or keyboard.

When not in use for charging, the Magnetic Connect port can be utilized to connect a range of peripherals, including smartphones and other devices. Given that laptops often have limited ports to begin with, this feature is particularly welcome, making efficient use of available space on the device.

The Surface Laptop Ultra, which features Magnetic Connect, boasts an impressive array of additional ports, including two USB-C connectors, HDMI, USB-A, an SD card reader, and a 3.5mm headphone jack. This comprehensive selection provides users with ample options for connecting various devices and accessories.

Microsoft appears open to the idea of other companies adopting its Magnetic Connect technology, which could potentially lead to a wider range of compatible accessories becoming available to users. By embracing this concept, Microsoft aims to create an ecosystem that fosters innovation and convenience.

The unlicensed nature of third-party MagSafe cables is another area where Magnetic Connect has an advantage, as even counterfeit products are likely to function correctly due to the technology's simplicity, it combines USB-C with magnets, eliminating the need for proprietary components.

The simplicity of Magnetic Connect makes it a viable alternative to MagSafe for MacBooks. This technology doesn't require wireless transmission, allowing users to plug in non-magnetic charging gear without any issues. The lack of complexity also means that even counterfeit products are likely to function correctly.

Magnetic Connect's potential impact on laptop design is significant. By eliminating the need for a dedicated port, manufacturers can free up space and create more streamlined devices. This could be particularly influential for Apple, which has been under pressure from European Union regulations to adopt standardized charging technologies.

However, Magnetic Connect may not become a universal standard due to its limitations in terms of power delivery. USB Power Delivery tops out at 240W, which is sufficient for most laptops but insufficient for high-end gaming models that require more power to support their CPUs and GPUs.

The adoption of Magnetic Connect could lead to a shift towards more efficient laptop design, but it's unlikely to replace MagSafe entirely due to its limitations in power delivery.

Engadget: https://www.engadget.com/2281340/how-microsoft-magnetic-connect-different-from-apple-macbook-magsafe/