GPT Four
product on 4 shows · 5 statements across 5 episodes
No Priors 
the Startup Ideas Podcast 
the MAD Podcast 
TBPN
5 statements about GPT Four, every show
McCormick: OpenAI recouped all GPT-4 training costs and more
“GPT four is the really instructive is the really instructive example because I believe that model costs like a hundred million dollars to train, and it was really expensive at the time, but then very quickly they were on a multi-billion dollar run rate, and it…”
Coogan: $2 Billion Is Enough to Train a Near-Frontier AI Model
“I think the fact of the matter is like two billion dollars is enough to do a GPT four level run to do a deep seek style run. And so you, if you take all the best practices from deep seek V three and R one, like the reasoning model, and you spend the money to g…”
Mensch: Viable AI agents require a 100x reduction in compute costs
“I think making a model smaller is definitely a way to make agent work. Because one problem you have with agent that very quickly is start to, if you run an agent on GPT four you're going to run out of money very quickly. And so if you divide by a hundred the, …”
Catanzaro: Second-mover AI startups can benefit from early failures
“I actually disagree with that. I think like we are learning so much literally day by day. I mean, GPT four was released yesterday. And there is possibly, you know, a second mover advantage. There will be lessons that we learn again from kind of seeing this fir…”