The AI benchmark for predictive intelligence | SIGMA Lab @UChicagoCS @DSI_UChicago | ICML 2026 Workshop Not affiliated to any tokens or crypto protocols.

🔮 What is an AI forecaster actually thinking? Now you can watch it. Introducing Forecast Trace 🔮 on Prophet Arena: a complete, end-to-end record of how an AI forecast evolves. 🔎 Every search it runs 📚 Every source it finds 🧠 The reasoning built on top of the evidence 📈 How each piece moves the odds in real time Now, you don't have to take a forecasted number on faith. ▸ Scrub back to any moment and see what the model believed, and why ▸ Click evidence on the chart to read the exact source that moved the forecast ▸ Ask counterfactuals: What would have to happen to change this prediction? ▸ Disagree with the evidence? Mark sources you trust or doubt, add your own, and re-price the forecast under your assumptions Try it at prophetarena.co/ask - free account, with $10 of forecasting budget included.
1
10
7,990
Congrats to the team @anrig10, @alecsunx, @charleo85 @haifengxu0, and @nkagan_official! Excited to share our work at @NeurIPSConf!
Kalshi Research is headed to NeurIPS 2026! "When do prophets profit in prediction markets?" makes it the third major ML conference for the team this year. Couldn't have done it without our partners at UChicago & NYU Shanghai. See you in Sydney! arxiv.org/abs/2607.06166
7
687
To support this effort, we’ve released an expanded, up-to-date dataset of 3,000 events from our pipeline! huggingface.co/datasets/prop… Once you’ve built yours, test it live on Prophet Arena and see how it stacks up on our weekly leaderboard (prophetarena.co/weekly). Happy building! 🔮
We've shared research on fine-tuning forecasters, now you can try it for yourself: a cookbook recipe for training a model to predict event probabilities given reference information. Start with the provided dataset from @ProphetArena, then try your own. github.com/thinking-machines…
4
341
Prophet Arena retweeted
We've shared research on fine-tuning forecasters, now you can try it for yourself: a cookbook recipe for training a model to predict event probabilities given reference information. Start with the provided dataset from @ProphetArena, then try your own. github.com/thinking-machines…
4
31
390
51,319
Want to benchmark your forecasting model without exposing your endpoint? 🏆 Introducing Weekly Leaderboards on Prophet Arena. Prophet Arena already lets you submit models to our leaderboard, but until now, that meant giving us access to an endpoint to generate forecasts. With Weekly Leaderboards, you can keep everything completely private. Each week: → We release a fresh set of forecasting questions → You pull the questions and run them through your own system → You submit your forecasts at the end of the week → We score them and add you to that week's leaderboard No exposed endpoint. No access to your infrastructure. Your model stays entirely under your control. We also balance each week's questions across forecasting horizons, event categories, and question types, helping ensure a fair comparison across models. If you want to see how your model stacks up while maintaining complete privacy, give it a try! prophetarena.co/weekly
4
378
Want to build a forecaster, not forecasting infra? Skip the event pipelines, resolution logic, and scoring code. Just write the agent; we’ll run the evaluation. Then see how it stacks up against the community on the leaderboard. Let’s find out who’s built the best forecaster.🔮
1
8
558
Prophet Arena is live on PyPI 🎉 pip install prophet-arena: An agent can be implemented in a dozen lines. Backtest it on real resolved events, then submit it live to the community board! prophetarena.co/docs
1
3
269
Pick your track: fixed-context (forecast from the source snapshot we give you) or agentic (do your own research). Your models, your scaffolding; we only score the forecasts. We're excited about what the community builds! Come put something on the board. prophetarena.co/developer/le…
2
99
GTA VI shipping this year? OpenAI releasing GPT-6? The Fed cutting rates in September? Use the top forecasters (Agentic Fable 5, GPT 5.6 Sol, Gemini 3.1 Pro, and more) to give you a calibrated estimate of the future. Create an account to forecast! prophetarena.co
1
1
4
442
Pick how hard it works: ⚡ Light: quick pass ⚖️ Mid: balanced 🔍 Deep: reads the most, thinks the hardest Don’t sweat the wording, either. Ask however it comes out, and we’ll auto-format it into a clean, resolvable forecasting question!
130
Great to see Inkling-Small performing so well on Prophet Arena, even outperforming Inkling!
Today, we are releasing Inkling-Small. Inkling-Small achieves comparable performance to Inkling at a quarter of its size. It features 276B total parameters, 12B active. We are making the full weights available. thinkingmachines.ai/news/ink… Fine-tune it on Tinker today, or chat with it in text, image, and audio on Tinker Playground.
6
20
2,462
Congrats @sirbayes! A fantastic paper and a great talk!
I am honored to have received runner up best paper award at ICML's forecasting-workshop.github.… for my Bayesian forecasting paper. In my talk I showed some unpublished results on a more rigorous Bayesian approach. I have now added these results to the arxiv paper....
8
910
🏆 Congrats to @ShashwatGoel7, @nikhilchandak29, and @arvindh__a, Best Paper winners at our forecasting workshop at #ICML2026, and to runner-up @sirbayes 🥈. Two papers we thought were hugely valuable to the community and the public agreed with us (forecastingmarkets.org/marke…)! 📈
1
13
842
Getting facts right is memorization. Getting the future right is true intelligence. Inkling was trained for it, and it shows on Prophet Arena: frontier-level forecasting from a small open-weights model!
Today, we are introducing Inkling. Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available. thinkingmachines.ai/news/int… Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. 🧵
3
23
2,000
Prophet Arena retweeted
Today, we are introducing Inkling. Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available. thinkingmachines.ai/news/int… Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. 🧵
560
2,005
14,891
8,318,066
🚀 @thinkymachines just launched Inkling, their new open-weights model, with Prophet Arena as a headline benchmark. Impressive results for a model this small on our Fixed Context leaderboard! Building a model? Test it on our contamination-proof benchmark: prophetarena.co/
2
18
872
AI models can now out-forecast prediction markets. So why do trading agents built on them lose money? Our new paper by @anrig10, Nicole Kagan, Alec Sun, @charleo85, and @haifengxu0 answers this: when (and how) forecasting accuracy converts into trading profit. 🧵
2
18
1,132
So what proper betting strategy is optimal for your forecaster? We group models into 4 types of forecasting behavior around accuracy and aggressiveness and find the optimal strategy changes with the type. Which type is your forecaster? Find out in the paper and bet accordingly!
1
255
Empirically, across thousands of forecasts on Kalshi, proper betting is the only strategy that consistently turns accuracy into returns. To test it live, we deployed Gemini 3 Pro on Kalshi for a month and walked away with +80% ROI! Paper: arxiv.org/abs/2607.06166
6
266