← All IntelClip / OtherMost tasks don't need frontier intelligence
From Local Models: Trust, Control, Optimization — Carter Abdallah, NVIDIA · ≈27:07
“you you like most people probably do not need frontier level intelligence for like 90% of their tasks, right?”
“open models let you choose those one or two things and then make the model just very good at those things at the expense of at the expense sorry of almost everything else.”
“it makes much less sense when you're a person who's trying to do that task yourself.”
What’s in it
- Argues most everyday tasks don't need frontier-level AI intelligence
- Explains why open models beat generalist models for narrow tasks
- Contrasts one-size-fits-all model endpoints with task-specific open models
Clip transcript
element as well. >> I think too like a couple things that I I want to make sure we're very clear about is you you like most people probably do not need frontier level intelligence for like 90% of their tasks, right? Like like not to say that you're not doing cool smart stuff. Not to say that I'm I'm sitting here trying to do not cool smart stuff, but like a lot of the time these models are just overkill or they have like this really smooth you know capability horizon that means they're they're also quite good at chemistry, but like most people are using models to do one or two things very well. And open models let you choose those one or two things and then make the model just very good at those things at the expense of at the expense sorry of almost everything else. And that that is great. I mean that's exactly what we should be doing, right? To to to use this model that is hyper generalized and able to you know perform well across like 90 different axes is is dope and cool, but it is not really you know using the model effectively. It makes sense for someone who is trying to ensure that everyone can use this one endpoint to do their task, but it makes much less sense when you're a person who's trying to do that task yourself.
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