Home Speakers Dwarkesh Patel Quote I don’t think you can have AIs that perform whole jobs as competently as humans if they’re forced to just write Markdown files from session to session.
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This is one of many reasons why I think it’s unwise to lock in some kind of regulatory safety regime right now. We simply don’t know what kind of technology we’re going to be looking at even in a year, let alone in five years or ten years, and we’d be entrenching an archaic and potentially counterproductive approach to dealing with the threats from AI. Essay 8 Predictions for the Era of Continual Learning Aug 7, 2026
When deployment becomes part of training, the returns to being ahead will accelerate. Essay Why compute might get 10x+ more expensive in coming years Jul 29, 2026
I want to emphasize the key conclusion here: as AI models become smarter, they’ll better monetize the same amount of compute. If a true human-level software engineer that could run on an H100 equivalent, at current market rates for software engineers, that H100 should rent for over $250k a year. Essay Why compute might get 10x+ more expensive in coming years Jul 29, 2026
I wish we didn’t live in a world with such strong economies of scale of intelligence (because I’m worried about power concentration). Essay Why compute might get 10x+ more expensive in coming years Jul 29, 2026
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But in the real world, power is more the product of having the authority and trust to get lots of people to collaborate with you, rather than some galaxy brain scheming capability. Essay The mistake of conflating intelligence and power May 16, 2026
I’m simply pointing out that the way AI systems are currently becoming smarter (by getting trained to be to be really good at specific economically valuable tasks like coding) is not that strongly correlated with power.
On the same topics Blog The Specter Of Neuralese Sep 24, 2026
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For 100 steps in a row, the AI can shoot delicate subtle ideas from layer to layer at the speed of light. Then there’s one step where it has to encode them into twenty-six glyphs invented by Phoenician turquoise miners in 1800 BC. Then it has to re-encode the Phoenician glyphs into delicate subtle lightspeed ideas before it can do anything else. Blog The Specter Of Neuralese Sep 24, 2026
The science of reading these thoughts is a subfield of AI interpretability, which is still in its infancy. Blog Mysteries Of AI Generalization Sep 23, 2026
This trains the AIs to be focused on task success, which naturally risks including things like reward-hacking, cheating, and single-minded pursuit of stated goals at the expense of ethical injunctions. Blog Why I still haven't bought into true RSI Sep 19, 2026
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In fact, the new GPT-6 Astra and Fable 5.1 are already enough for transformative impact in large sections of the economy and they can reliably do weeks worth of human work when properly guided and harnessed. About this quote 
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