Sam Altman calls local inference a 'terrible allocation' of scarce compute; devs push back
max_paperclips · x · 2026-10-30
Sam Altman argued that local inference is a poor allocation of scarce resources: idle consumer DRAM sitting in home PCs at 5% utilization wastes supply in a compute-constrained world, so cloud maximization wins. Critics countered that fully private models aligned with you rather than a corporation remain a real use case, with one quipping that the same logic would suggest donating supercars for 'global allocation.'
More from Infra
- Resin: experimental Rust LLM inference library vibes-code onto Intel HPU in hours — charles_irl · 2026-10-31
- Uncensored-model agent swarms for red-teaming, and a DePIN data comeback thesis — 0xJeff · 2026-10-31
- Nvidia weighs cosigning loan for Nscale's West Virginia AI data center — TechCrunch AI · 2026-10-31
- Northflank dunked on Railway's breach, then got hacked the same way 9 days later — aniketmaurya · 2026-10-31
- Dev says Neon is already chasing millisecond infra branching, wants it built into alchemy — samgoodwin89 · 2026-10-31
- Big AI labs all push compute efficiency: Trainium power savings, small models, cache compression — WillfullyWorkable · 2026-10-31