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.
More from AGI Musings
- Misquoted: Anthropic Staff Warned of Double-Digit Extinction Risk by 2030, Not Dismissed It — davidmanheim · 2026-09-11
- Economist Ben Moll: You Can Model Anthropic's 15% AI GDP Growth, But It Won't Happen — sebkrier · 2026-09-11
- Cohere Labs launches interactive tool mapping which tasks of 178 occupations AI can automate — Cohere_Labs · 2026-09-11
- AI researcher on SkyNews flags concerns over inequality, power and criminal misuse — schwarzjn_ · 2026-09-11
- VC compares AI doom rhetoric to pandemic-era fear messaging — StewartalsopIII · 2026-09-11
- Anthropic Insiders: Not Everyone at the Lab Believes in High p(doom) — anpaure · 2026-09-11