Brian Zhou

researcher, Thoughtful

Titles as the sources gave them. In 1 entry, with 2 checked quotations.

What they said

Newest first. Each quotation was found word for word in the source.

“the general trend we're kind of seeing is that I mean today and this has already been true for many months um researchers have essentially agents that can do the vast majority the actual implementation work which is what we would kind of consider as like research engineering.”
AI:AM: Is THIS the AI We Want? Alarming Acceleration, AI Election Bets, GPU Trading & AI-Native VCThe Cognitive Revolution, November 7, 2026. Speaking as: Other. Thoughtful's researcher, asked about expectations for AI training AI over the next quarters in light of the METR report.
“if a model assigns an 80% chance of a candidate winning across all of the elections where assigns a similar 80% chance, it is right around 80% of the time”
AI:AM: Is THIS the AI We Want? Alarming Acceleration, AI Election Bets, GPU Trading & AI-Native VCThe Cognitive Revolution, November 7, 2026. Speaking as: Other. Describing how well calibrated the best agents were in Ballot Bench, Thoughtful's test of agents forecasting the 2026 midterms.

In the Base

Every entry they appear in.

  1. PodcastThe Cognitive RevolutionSpeaks

    AI:AM: Is THIS the AI We Want? Alarming Acceleration, AI Election Bets, GPU Trading & AI-Native VC

    In a weekly highlights show, hosts Nathan Labenz and Prakash Narayanan discuss METR's report on AI speeding up AI research at Anthropic and Anthropic's amended S-1, then interview guests on AI election forecasting, GPU trading rules and AI-native venture capital.