How it works: Atlas replicated a Berkeley paper [1] that showed LLMs could make predictions as accurate as the crowd. We’re using a mix of models from OpenAI and Anthropic, with information retrieval powered by NewsCatcher [2].
The system is live and fully functional, though it might struggle with hyper-local questions outside of the public domain (e.g., “Will I have chicken for dinner tonight?“). But we’re intentionally NOT stopping it from answering any question, so fire away!
What makes it different:
- Free to use: Anyone can ask any question about the future that they care about, whether it’s a broad societal trend or a specific personal decision.
- Transparent: The tool is based on a proven reasoning model and provides links to all sources. You can see its track record on public predictions [3].
- Open-source: We’ve released a simplified open-source version [4] to give people a better sense of how it works.
Why we built this: We’re forecasting nerds and loved the idea behind the Berkeley paper. Friends and family kept asking us to make predictions for them, so we figured we’d build a frontend around the system so they could use it themselves. Don’t use it to decide where to buy a house or anything serious. But we think it’s a good starting place when doing research. AI Predict tackles prediction questions using transparent, objective reasoning (mostly Bayesian analysis) and links to all its news sources.
We’d love for the HN community to try it out and share feedback ([email protected]). Let us know what you think!
[1] https://arxiv.org/pdf/2402.18563
[2] https://www.newscatcherapi.com/
[3] https://docs.google.com/spreadsheets/d/1oPvWlst7sxq2URifFaZ0...