postlaboreconomics (@postlabor2030) profile picture

Former Naval officer. Current economist studying AGI's impact on markets

Joined September 2025
postlaboreconomics retweeted
The last people who asked the US govt to please slow down for their safety were the Cherokee Indians
Frontier company employees and execs are signing a letter to slow down the development of frontier models internationally "We request that the U.S. government support an international effort to develop the technical and governance tools needed to deliberately pace the frontier of automated AI development"
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If you can hill climb learning, you can hill climb anything
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postlaboreconomics retweeted
Nvidia, Amazon, Google will have to divest from Anthropic if Hegseth gets his way. This is simply attempted corporate murder. I could not possibly recommend investing in American AI to any investor; I could not possibly recommend starting an AI company in the United States.
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Dario says full end to end senior software engineer by early to mid 2026
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An AI system that can produce any provable math result given a finite amount of compute will not be made public at first, because this is a system that guarantees martial dominance for the side that has it
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There are ~100 million chips being used for AI inference today. We certainly won't approach anywhere near saturation until there are 10 GPUs for each human on earth. That's 1,000x more than today, and likely a gross underestimate. It's so early
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Today, if you want models good at your problem, you publish an eval. In 2030, you'll just wear glasses that record all your problems all the time
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Changing big organizations is hard. Executives of big companies will need to setup parallel structures that take advantage of AGI and compete directly with legacy internal structures, not merely drive adoption within existing ones
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Product success is a function of problem understanding and engineering/design competence. AI will soon outcompete humans on engineering/design competence. This will lend tremendous competitive advantage to humans who understand valuable problems
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