Using AI well is ultimately a capital allocation problem, argues this thread
curious_vii · x · 2026-08-26
The author argues that at any time a business has one core goal or bottleneck to point the 'coin-operated computer' (AI compute) at, and you're best off spending as much as possible to blast through it — then compressing the resulting traces (digital exhaust containing sparse reward signals) into something operational and scalable: software, data, qualification criteria, a harness for lower-cost weights, maybe the weights themselves someday. Proper use of AI is ultimately a capital allocation and management problem — 'revenge of the economics degree holders and MBAs,' says the author, who holds both.
More from AGI Musings
- AI agents drastically boost research discovery probability, validating once-absurd questions — DimitrisPapail · 2026-08-26
- OpenAI's AGI This Year Claim Met with Indifference, Sparking Discussion — flowersslop · 2026-08-26
- Haven't done a "proper" Google search in years — medicine may be next — giansegato · 2026-08-26
- Silicon Valley misreads enterprise AI demand: 'Dark inference' is the real next driver — abhiadesai · 2026-08-26
- Karpathy to Stanford Engineers: English is the Hottest New Programming Language — cen6wkf · 2026-08-26
- Satire: Frontier labs aren't racing anymore, just surviving their own momentum — geoffreyirving · 2026-08-26