Rolling Out What Models Already Do Would Take More Compute Than the World Can Build for Years
stevehou · x · 2026-09-14
A thread on what calls to slow frontier AI mean for the buildout: even if models never improved, deploying what they can already do would take more compute than the world can build for years. The slowdown debate is about future generations of models, not existing demand. Cited: Anthropic CEO Amodei said in May they planned for 10x growth but ran at an 80x pace in Q1; OpenAI president Brockman said in July they face a compute shortage.
Related event: Slowdown Debate Unlikely to Change AI Compute Buildout(2 posts)→
More from AGI Musings
- Databases to distributed systems: every systems skill is merging into AI inference and hardware — Abhishekcur · 2026-11-02
- Limitless analogy: smarter people may gain far more from superintelligence — McDonaghMatthew · 2026-11-02
- Hunting for the most concrete "curing cancer with AI" roadmap of 2025 — iskander · 2026-11-02
- Avoiding AI brain rot: Miles Cranmer's lecture on learning with AI — _ScottCondron · 2026-11-02
- Yacine mocks "autonomous research" hype as Naam argues RSI loop needs 5-10x boost to run away — yacineMTB · 2026-11-02
- Vitalik's "post-AI cryptography": pseudonyms are dead, per-action anonymity is in — devanshmehta · 2026-11-02