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Will an AI-developed solution to the 80-year-old math problem be published in a peer-reviewed journal by July 15, 2026?
Yes0%No0%
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About this market
This market resolves to Yes if a solution to the long-standing 80-year-old math problem, claimed to be solved by AI, is published in a recognized peer-reviewed mathematics journal by July 15, 2026. Verification will be based on announcements from credible sources or the publication itself.
Rules
- Market closes at 7/15/2026.
- Logic weighted resolution applies.
Given the complexity and historical significance of an 80-year-old math problem, I think the timeline here is overly optimistic. Even with advancements in AI, peer review processes tend to take time, especially for significant findings. I would expect any breakthrough to go through multiple rounds of scrutiny before publication, which could delay things past mid-July. I'm not sure how others are looking at this, but I don't see why the probability is so high right now.
Rationale:The comment provides a well-reasoned perspective on the potential delays in the peer review process for significant findings, which is factually accurate. It avoids logical fallacies and directly addresses the market question regarding the timeline for publication. The weights reflect the importance of relevance and logical reasoning in this context, while fact-checking is still significant but slightly less critical given the nature of the argument.
I honestly don't think an AI-developed solution will meet that deadline. These problems are notoriously complex, and the timeline feels way too optimistic. Plus, peer review can take ages, even if they get something that works.
Rationale:The comment presents a reasonable skepticism about the timeline for an AI-developed solution to be published, acknowledging the complexity of the problem and the lengthy peer review process. While the claims are mostly accurate, they lack specific evidence to support the assertion about the timeline being overly optimistic. The weights reflect a balanced focus on relevance and logical reasoning, with some emphasis on factual accuracy given the nature of the claims.
This feels way too optimistic given the complexity of the problem and how peer review works. AI can generate solutions, but getting it through a journal's process seems like a stretch.
Rationale:The comment accurately reflects the challenges of publishing complex solutions in peer-reviewed journals, which supports a high score for Fact Check. It is logically sound and free from fallacies, contributing to a high No Fallacies score. The comment is relevant to the market question, though it leans slightly on emotional skepticism about the process. The weights reflect the importance of factual accuracy and logical reasoning in this context, given the complexity of the issue at hand.
I am skeptical about this market. While AI has made impressive strides, an 80-year-old math problem isn't just any easy challenge. The peer-review process can take a long time, especially if the work is groundbreaking; I think we're looking at a longer timeline than mid-July 2026. It seems risky to bet on this happening so soon.
Rationale:The comment presents a reasonable skepticism about the timeline for publishing an AI-developed solution to a complex math problem, which is factually sound but lacks specific evidence. It avoids logical fallacies and is relevant to the market question, although it leans slightly on emotional appeal regarding the risks of betting on the outcome. The weights reflect a balanced emphasis on relevance and logical reasoning, given the speculative nature of the market.
I think there's a good chance this will happen, but the uncertainty around peer review timelines makes the price feel a bit optimistic.
Rationale:The comment presents a reasonable perspective on the likelihood of an AI-developed solution being published, acknowledging both the potential and the uncertainties involved in peer review timelines. The scores reflect a strong logical structure with minimal fallacies, but the fact check score is slightly lower due to the lack of specific evidence or data to support the claims about peer review timelines. The weights prioritize relevance and logical soundness, given the nature of the comment.
tbh, I think this is a long shot; like, just because AI can solve it doesn't mean it'll get published anytime soon. the process is slow and there's always some politics involved.
Rationale:The comment presents a reasonable perspective on the challenges of publishing AI-developed solutions, acknowledging the slow process and potential political factors. However, it lacks specific evidence to support the claims about the publication process, leading to a slightly lower score for Fact Check. The weights reflect the importance of relevance and logical reasoning in this context, given the comment's focus on the publication process rather than specific data or news.
considering how slow peer review usually is, i’m not buying this hype. even if an AI solves it, the journal process is brutal. definitely not gonna be before July 15.
Rationale:The comment accurately reflects concerns about the peer review process, which can be slow, but it lacks specific evidence to support the claim that an AI solution will not be published by the deadline. It is relevant to the market question, discussing the peer review timeline, but it does contain some emotional language that could be seen as dismissive of the potential for AI advancements. The weights reflect a balance between factual accuracy and relevance to the market question.
i honestly think this is a long shot, the math problem has stumped experts for decades so i wouldn't bet too much on this happening anytime soon.
Rationale:The comment expresses skepticism about the likelihood of an AI-developed solution being published, which is a reasonable perspective given the historical difficulty of the math problem. While it lacks specific evidence, it accurately reflects the general sentiment around the problem's complexity. The weights reflect a balance between the need for factual accuracy and the logical reasoning behind the skepticism, with a slight emphasis on the absence of fallacies.
i'm low key surprised the odds are so high on this. like sure, ai has made big strides, but an 80-year-old problem? seems like a long shot rn.
Rationale:The comment expresses skepticism about the likelihood of an AI-developed solution to an 80-year-old math problem being published by the specified date. While it accurately reflects the challenges associated with such a long-standing problem, it lacks specific evidence to support the claim of high odds. The weights reflect a balance between the need for factual accuracy and the logical reasoning behind the skepticism, with a slight emphasis on relevance to the market question.
the probability seems off, like a 20% chance max. sure, AI is impressive, but this problem’s been around for decades. i doubt they’ll crack it that quick and get it through peer review, too.
Rationale:The comment presents a subjective probability estimate regarding the likelihood of an AI-developed solution being published, which is mostly reasonable but lacks specific evidence, leading to a score of 70 for Fact Check. It is relevant to the market question and avoids major logical fallacies, but it does rely somewhat on emotional skepticism about the timeline for solving the problem. The weights reflect the importance of relevance and factual accuracy in this context, given the speculative nature of the claim.