OpenAI's Terra called a Pareto inversion for visual perception, reshaping physical AI economics
arnabdotorg · x · 2026-10-29
arnabdotorg reacts to OpenAI's new Terra release, calling it a massive cost/quality unlock and a Pareto inversion for visual perception that will change business models across physical AI. Separately, adding Clef into the benchmark reveals a new Pareto frontier: decisions are a highly cost-effective pathway for physical-world understanding. Work led by Andrew Perrault.
More from Models
- ARC nearing ceiling effect: Greg Kamradt proposes difficulty-ranked Elo list for public evals — GregKamradt · 2026-10-29
- Leaker: Google shipped Carbon ahead of OpenAI and Anthropic's next-gen models, still ~2 months behind — scaling01 · 2026-10-29
- ARC team: v1 hits ceiling effect as v2 extends headroom for frontier models — MindsAI_Jack · 2026-10-29
- Gemini 4 Argon Posts Lowest Hallucination Rate at 4% on AA-Omniscience — haider1 · 2026-10-29
- Suhail launches Particle: particle-1 matches performance with ~45% fewer tokens — chrisalbon · 2026-10-29
- Exploring a whole repo with a 1M-context open model cost just $0.63 — HowDevelop · 2026-10-29