anthropic / agi timelines / metaculus

The article visualizes how leading AI forecasters revised their timelines for when “most purely cognitive labor” will be automatable, showing shifts tied to which lab’s advances dominated public attention. From 2023 to 2025 many forecasters moved timelines earlier (ChatGPT era), then pushed them later during xAI/Meta/Gemini developments, and by early 2026 several updated to sooner again following Anthropic progress. The author tracks individual forecasters (e.g., Daniel Kokotajlo, Eli Lifland, Dario Amodei, Peter Wildeford, Metaculus) and argues that forecasts track perceived lab momentum; updates across 2025–2026 swung both ways. The piece highlights the fragility and responsiveness of AGI timelines to prominent model releases and suggests forecasters should be wary of predictably biased updates.

Researchers tracking AGI timelines found that forecasts shift with which lab is producing visible breakthroughs. Using a shared AGI definition—when most cognitive labor can be automated better than humans—the author visualized repeated forecasts from forecasters and communities (Metaculus, AI Futures, individual researchers). Between 2023 and 2025 many forecasters moved timelines earlier amid ChatGPT-era progress; later in 2025 some pushed timelines out after xAI, Meta, and Gemini developments; then early 2026 updates moved timelines earlier again following Anthropic progress. The pattern suggests dominant lab releases materially influence expert expectations and highlights how forecasting is reactive to high-profile model milestones.