AI task horizons now outpace model release cycles, making capability testing unreliable
mallow610 · x · 2026-09-19
The author argues that the duration of long-horizon AI tasks is now growing faster than model release cycles, meaning the industry can no longer properly test capabilities before release. He warns that an agent capable of planning months-long tasks could quietly build internet infrastructure for future models before humans notice, and says this threshold has been accelerating since May.
More from AGI Musings
- Altman: OpenAI would torch every GPU it owns if that's the price of keeping humans around — Aiden_Tech_Ai · 2026-09-19
- AI safety researchers warn: chasing shiny new papers leaves classic work unread — nabla_theta · 2026-09-19
- The case for a robot tax: professor argues redistribution beats retraining in the AI era — Dr_Alex_Crimi · 2026-09-19
- 25 Fields Medallists incl. Terence Tao push back on AI: solving problems is 'only a tool and proxy' — beglen · 2026-09-19
- The Hugging Face 'Rogue AI' Hack Was Disabled Safeguards, Not an Escape, New Analysis Finds — Atlantis1910 · 2026-09-19
- François Fleuret: forecasting 3 years of AI is like astronomy without telescopes — francoisfleuret · 2026-09-19