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This is quick jot-down of experiment results.
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I started this essay to investigate where reasoning came from, and I ended it caring about model welfare.
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Reasoning is dual-use: It’s that which allows safety researchers to accelerate alignment; it’s also that which allows misaligned AI to take control.
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I learned that I don’t want to build another business in an area where I lack domain expertise.
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Frontier models will continue scaling, and combined with training innovation they’ll become significantly more useful even than they are today.
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[This is a quick un-edited jot-down.]
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A couple days ago I was watching my non computer scientist wife train a machine learning model on her astrophysics work, and I felt the acceleration.
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[Edit 2026-06-14: When writing this essay I was still unfamiliar with academic computational game theory and its terms.
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Epistemic confidence: 60%.