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AGI

status: open · updated

Definition of done

This arc is done when an AI system that the public can use, or that outside testers have had full access to, is shown by independent evaluation to do most remote knowledge work at the level of a skilled professional across many fields. Concretely: at least one published evaluation run by someone other than the developer, covering a broad range of occupations, finds the system matches or beats expert professionals on a majority of tasks, and an independent autonomy test shows it can carry long, multi-day projects to completion with little human help, at a cost that makes it a real substitute. It must also work the way an employee does: given a goal at the level a manager would assign, it plans, starts and drives the work to completion on its own, asking only when it is actually blocked, and it keeps what it learns on the job, from feedback and its own mistakes, so it improves over weeks without retraining. It does not count if a company declares it has reached AGI or superintelligence, if a government or company renames AI, if one benchmark (such as ARC-AGI) is saturated, if a single striking result (such as a math proof) lands, or if the only evidence is vendor-run evals and demos. Physical and robotic work is not required.

Where it stands

As of late October 2026, no publicly available or fully outside-tested AI system has been independently shown to do most remote knowledge work at a skilled-professional level across many fields, and no independent evaluation or autonomy test has shown that bar is met. The frontier remains split among OpenAI's GPT-6 Astra, Anthropic's Claude Opus 5.5 and Google's Gemini 4 Argon, which opened to developers and subscribers in mid-October; Google's newer Gemini 4 Carbon claims the top Text Arena score and second place in Agent Arena but is limited to some cyber defenders. METR judged Opus 5.5 unlikely to fully automate AI research, and ARC Prize found Argon's ARC-AGI-3 score fell from 97.5% with Google's adapter to 49.8% under the standard harness. OpenAI's math claims, including a batch The Verge counted at 722 manuscripts with Lean proofs and an earlier Navier-Stokes claim, still lack independent expert verification, while JEPA world-model papers await outside reproduction.

Milestones

Related claims

Storylines

JEPA world models

JEPA world models, a research line associated with Yann LeCun, have produced a steady run of papers since late September: driving and hierarchical-planning models, an 8B robot world model claiming a…

Gemini 4

Google now has two Gemini 4 models: Argon, which shipped September 30 to trusted cyber defenders and then opened worldwide to developers and subscribers in mid-October, and Carbon, announced October…

OpenAI Navier–Stokes proof

OpenAI's claimed Navier–Stokes solution has become an ongoing argument over credit, verification, and how AI math results are announced. OpenAI has since said an internal model resolved more than 100…

World models: spatial intelligence as a base-model category

Claude Opus 5.5

Anthropic's Claude 5.5 family is now complete: Opus 5.5 launched September 22, Sonnet 5.5 September 28, and Haiku 5.5 October 7. Opus 5.5 took the top spot on an independent AI index and cost less…

GPT-6 Astra

AMD–World Labs acquisition

Experience-first AGI: Carmack's Keen, Sutton's Oak Lab, the continual-learning bet