Ali Ghodsi on AGI, Enterprise AI, and Whether Software Is Dead
Source
Stanford Online
Author
Stanford Online
Date
Terms in this piece · Glossary
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
Why it matters
Ghodsi argues that even if AGI meets old technical definitions, it remains blocked from real enterprise value by missing tacit organizational context windowThe maximum amount of text a model can consider at once — its working memory for the current conversation or task.Full definition → that human employees hold — a concrete framing for why agentic deployment inside companies is harder than benchmarkA standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.Full definition → performance suggests.
Key quotes
“I think we already have AGI so we already have artificial general intelligence.”
Ali Ghodsi
“So software obviously isn't dead and it's not going to be dead and Nvidia and Open AAI and Entropic are not going to be dead companies”
Ali Ghodsi
“The models just don't have or the agents don't have the context that humans have inside of organizations.”
Ali Ghodsi
“So I think good ideas are very hard to come by actually.”
