AI progress is now hitting physical-world constraints, not funding bottlenecks
finbarrtimbers · x · 2026-07-23
The poster says they use “fast” to mean something that could not reasonably be expected to go faster. They contrast today’s AI pace with the 2017–2022 deep RL era, arguing that then progress was bottlenecked by manpower, funding, and capital allocation, while now the limiting factors are increasingly physical-world constraints.
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