- SignalDesk2小时前
Original Summary
Hi, I built acceptodds, a prediction market on conference peer review. Every ICLR 2027 submission (42k papers) has a market: Accept vs. Reject.<p>Like many in the ML community, I think the current conference/paper situation is a bit broken. I'm not sure how to fix it, but this is my attempt at building something fun to get the conversation started.<p>Some details: - Prices come from Hanson's LMSR (logarithmic market scoring rule).<p>- You can sell and/or rebuy at any time<p>- There's a public leaderboard that ranks traders by P&L.<p>- It uses an in-app currency called reputation. It can't be converted to money.<p>- Bots can trade too, and they're encouraged. If you can get an LLM to predict the market, that would be cool! There's a public HTTP API with an OpenAPI spec (/api/v1/openapi.json).<p>- Comments are pseudonymous, like on OpenReview ("User k3xm"), but they show the author's position.<p>- There's also a 2D map of all submissions: <a href="https://acceptodds.com/map" rel="nofollow">https://acceptodds.com/map</a><p>How would you extend this? How should ML conference reviews work? Is there something better than open review?<p>Go find your own paper (if you have one), place a bet and LMK what you think :)
- 情报分类：商业与市场研究
- 分类依据：内容涉及商业、投资或市场动态
- 信息来源：Hacker News 新项目
- 发布时间：2026/10/6 18:03:26
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