Cloud Models
topic on 3 shows · 4 statements across 4 episodes
Innovators & Investors 
Lenny's Podcast 
the Startup Ideas Podcast
4 statements about Cloud Models, every show
Isenberg: Evaluate Local AI on Sufficiency Rather Than Raw Intelligence
“The actual more useful question to ask actually is, is this model good enough for the job, and does running it locally make the product better?”
Bayramov: Local AI models usually lag cloud models due to compute constraints
“The local models, most of the time, they are not as good as the cloud models, just because to run a fully fledged AI model on your local hardware, hardware just requires a lot of compute to make it as efficient as the cloud versions.”
Cloud-hosted AI models will continue to outperform local models
“Cloud models are going to be the strongest. You know, they're going to be better than local models. Just in terms of like you're getting the best possible stuff. They're the smartest tool available.”
Schillace: Generative AI is in the rapid elaboration phase filling white space
“The zero to one is hard. Like understanding that there's something there at all is the really hard part because you have to be lucky and you have to be talented and you have to look in the right place and like, Do some very hard work, but once you understand t…”