“llms excel at updating forecasts, not making cold predictions from scratch”
Asks whether large language models can outperform prediction market consensus prices and argues the more tractable framing is using LLMs as updaters rather than predictors. Distinguishes cold prediction (generating a probability estimate without prior context) from updating (revising an existing estimate as new information arrives), and considers what each role implies for AI tools deployed alongside human traders in live markets.
No technical background needed