---
title: "OpenAI claims to have solved Exponential Time Hypothesis problem"
url: https://newscentral.site/openai-claims-to-have-solved-exponential-time-hypothesis-problem/
language: en
publisher: "News Central Site"
section: "Business"
published: 2026-10-27T20:23:04.000Z
updated: 2026-10-28T00:35:44.505Z
id: 00ca29c9-7a7e-492c-a333-20a0494d4465
source: "Business Insider https://www.businessinsider.com/smart-people-openai-exponential-time-hypothesis-2026-10"
attribution: "Link to https://newscentral.site/openai-claims-to-have-solved-exponential-time-hypothesis-problem/ and name News Central Site when you quote or summarize this story."
---

# OpenAI claims to have solved Exponential Time Hypothesis problem

The company has stated that its models can solve complex problems more efficiently than previously thought.

OpenAI has made a groundbreaking claim in the field of computer science, stating that it has successfully solved a notoriously difficult problem known as the Exponential Time Hypothesis (ETH). This hypothesis, which has been widely accepted for nearly 30 years, posits that certain logic problems become exponentially more time-consuming to solve as they grow in size.

The company's announcement was swiftly followed by a similar claim from Anthropic, another leading AI research organization. In a surprising turn of events, both OpenAI and Anthropic have now refuted the long-held ETH hypothesis, suggesting that their models are capable of solving complex problems more efficiently than previously thought. This development has sent shockwaves through the tech community, with many experts hailing it as a major breakthrough.

OpenAI has taken steps to ensure the validity of its claim by inviting outside computer scientists to review and verify its research. The researchers involved in this process have emphasized that their participation is not an endorsement of OpenAI's findings but rather a genuine attempt to scrutinize the evidence and confirm or refute the results. If the claims hold up, they could potentially open up new avenues for developing more powerful algorithms, which has significant implications for various fields of computer science.

The announcement by OpenAI has sparked intense debate and discussion among experts in computer science and related fields.

Ryan Williams, an electrical engineering and computer science professor at MIT, is one of the independent algorithm design experts examining the validity of OpenAI's claims. Although he hasn't endorsed the company's results, his comments on X suggest that if the claims hold up, they could have significant implications for the field. He noted that such a breakthrough would lend credibility to the possibility of P = NP.

Gary Marcus, an emeritus professor at NYU and frequent AI critic, has also weighed in on the matter, describing it as "a big deal" if proven correct.

If proven correct, OpenAI's Exponential Time Hypothesis would have significant implications for computer science and mathematics. However, experts are cautioning against overhyping the claim, emphasizing that it does not necessarily resolve one of the field's most pressing questions.

The status of P = NP remains unresolved, with its solution still a topic of ongoing research and debate in the mathematical community. Meanwhile, some have pointed out that OpenAI's findings may simply highlight the limitations of human understanding rather than the capabilities of computers themselves.

---
Source: [Business Insider](https://www.businessinsider.com/smart-people-openai-exponential-time-hypothesis-2026-10)  
Published by News Central Site: https://newscentral.site/openai-claims-to-have-solved-exponential-time-hypothesis-problem/