ICML Paper: Three Years of r/ChatGPT Posts as an Early-Warning System for AI Impacts
jessicadai_ · x · 2026-10-09
Jessica Dai's ICML 2026 paper "Three Years of r/ChatGPT" proposes public social media data as an early-warning system for AI's unintended societal impacts.
- Pre-designed evals can't capture unknown unknowns from products with 1B users; Reddit captures first-hand user experiences instead.
- r/ChatGPT users now spend less time swapping prompt tricks and more time discussing attachment and companionship with AI.
- A live site updates daily with new data alongside the paper.
More from Research
- Multi-agent framework CORAL presented at COLM, tops 1.1K GitHub stars — pliang279 · 2026-10-09
- LLM judges of AI-scientist novelty flip on tiny prompt tweaks, AI2 finds — TuhinChakr · 2026-10-09
- TritonRL: an 8B RL-trained model matches 100B+ frontier models on Triton kernel generation — allenainie · 2026-10-09
- LLM agent polarization study from Tsinghua-UChicago team published in Nature Communications — profjamesevans · 2026-10-09
- Forced contact moves LLM agent opinions just 2%, polarization study finds — profjamesevans · 2026-10-09
- LLM agents build human-like social networks — and polarize anyway — profjamesevans · 2026-10-09