Aravind Srinivas observed that even the most senior AI decision-makers 5 years ago failed to predict today's compute bottlenecks, illustrating how impossible it is to forecast AI's trajectory.
Where this was said
At 1:14:53 · chapter starts 1:14:40
Rogan asks for a 250-year forecast, and Srinivas responds with intellectual honesty: he can't even reliably predict 5 years out. His evidence is compelling — every AI leader who was at the frontier 5 years ago failed to anticipate the current power and compute shortage. If they had, they would have preemptively built power plants, locked up chip fabs, and bought compute at scale. Instead, the entire industry is reactive. This failure of near-term prediction makes any multi-century forecast essentially speculative. Srinivas does offer one interesting scenario: if AGI commoditizes cognition, human value will shift toward whatever remains scarce — and he suspects that will be genuine curiosity and the ability to ask questions no one has thought to ask yet.
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Bhanu filters Ahrefs keyword results to show only those with a keyword difficulty below 10, making them realistic ranking targets for any decent website.
Bhanu sets a minimum search volume of 1,000 monthly searches when selecting keywords to target with free tools.
PropGPT averaged 20 downloads per day right after launching on the App Store through influencer marketing.
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