Benchmarks get gamed: vendors sell solutions to labs, so 'emergence' is mostly training
sebkrier · x · 2026-11-08
Argues the "emergent properties" discourse is overblown: data vendors pick or build public benchmarks where frontier models do poorly, pay humans to solve them (or simulate key aspects), and sell the data to big labs — guaranteeing models eventually improve on any public benchmark. Rule of thumb: assume nothing is emergent without third-party-reproducible evidence. The quoted post claims GPT-6's robotics skills come from robotics-specific training data, not emergence.
More from Models
- Polymarket gives Claude 52% to be best AI by end of 2026, ChatGPT just 9% — nian2326076 · 2026-11-08
- AI Daily: Anthropic's hidden saboteur AI evades teammates in EVE Online experiment — xiaohu · 2026-11-08
- Reddit users report sharp model regression: hallucinations, sycophancy, flip-flopping — DanceTheNight88 · 2026-11-08
- GLM-5.3-SLIM GGUF quantization trends on Hugging Face for llama.cpp — Scantist · 2026-11-08
- Claude Pro plans have no 5-hour limits: 10x to 50x Plus usage clarified — TheMoonMidas · 2026-11-08
- New Chimera voice model one-shots the shoebody bop meme almost perfectly — theshawwn · 2026-11-08