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Brendan Halstead

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@bphalstead

Figuring out better plans @AI_Futures_
Co-author of AI 2040: Plan A and the AI Futures Model.
Joined July 2026
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Brendan Halstead Verified account @bphalstead
The elasticity of software progress to researcher capability is maybe the most important quantity in RSI forecasting. IMO TasteVal provides the best evidence yet on the component of this quantity coming from *selecting better experiments* using fixed compute and coding labor.
P-Zero Research Verified account @pzeroresearch Oct 6
How fast is AI's research taste improving?

We find that the experimental research taste of frontier models has doubled every ~3 months since December 2025. The best model, Opus 5.5, now exceeds our expert human baseline. Our human experts are experienced researchers, but most haven’t worked at a frontier lab.

Why measure research taste? In the AI Futures Model, it largely determines how quickly artificial superintelligence is reached once coding is fully automated.
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Brendan Halstead Verified account @bphalstead
Dario writes "since roughly this summer, AI has been advancing drastically faster, driven primarily by AI’s growing ability to build the next generation of AI."

But as of September 1, the AECI has not been "advancing drastically faster", so what does this mean?
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Brendan Halstead Verified account @bphalstead
OpenAI Verified account @OpenAI Jul 28
At the core of our mission is working through how to ensure increasingly powerful AI benefits everyone.

We believe that, at some point in the future, AI acceleration for frontier model development may be so high that the world will need to pace the rate of AI advancement.

We hope to contribute to work led by the U.S. government, alongside other labs and the open-source community, to develop the tools and mechanisms that could make that possible.

pacingthefrontier.com
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