Wharton professor Ethan Mollick, after trying Fable 5.2, says the model is "almost" artificial general intelligence, and that what it lacks is judging whether its work is good enough.

Supervising long multi-agent tasks may shift from catching factual errors to catching scope and length, in Mollick's personal judgment from one uncontrolled experiment. Mollick defines that as an AI as good as most human experts at most intellectual work done on a computer, leaving out the physical world and interaction with people. An economics paper Mollick had the model write ran to 182 pages. In another project building a small 3D world, a team of agents wrote a 204-section, 87,500-word rulebook within 12 days, which Mollick sums up as "The AI had built a bureaucracy.". The reviewing agents only fixed errors and never asked whether the content was too long or repetitive. Mollick discloses early access, with tokens free of charge during that period, and says he takes no money from AI labs and that Anthropic didn't see the article in advance (Ethan Mollick, 2026-11-09). How we checked →
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This item ran in the brief of Nov 10, 2026, alongside 12 other items. How we checked it, the quote checks and what was still missing that day are on that issue's How we checked page.
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SecondSource (2026). "Wharton professor Ethan Mollick, after trying Fable 5.2, says the model is "almost" artificial general intelligence, and that what it lacks is judging whether its work is good enough.." https://secondsource.io/en/expert/2026-11-10-1/. Accessed access date.