Emad Mostaque

speaker
1,351 appearances 1 recordings 1 series first heard Dec 2024 last heard Dec 2024

Emad Mostaque’s voice in public audio — every appearance, attributed to the second.

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You're still going for AGI, but you're satisficing.
Like how much difference is there really between an anthropic and an open AI and a Gemini and a Groc?
They're all pretty good right now.
And they're good enough to make a difference.
So I don't think you need soda here, which is also another very interesting thing.
In fact, do you want to have a state of the art unproved model for your healthcare?
No, you want a really robust standard one that behaves very predictably, which also is why with the advent of function calling large context windows is the ideal time for this.
For education, for uh again, anything in regulated industry.
Do you want a black box checking every medical decision, then eventually make no you don't.
Or checking every government decision, then maybe make no you don't.
So I just think there's this particular category that's very interesting that I haven't seen anybody look at, but I think it's probably the most important one for flourishing.
But then it becomes very interesting because
If for all the stuff you have for living, you know, Mazda's hierarchy of needs, you have these open way, open data models that we're trying to optimize for as low energy as possible for maximum impact to get to a level of performance like almost equitoken, equi MMLU, as it were.
then I think that can guide the discussion because suddenly you can parameterize and have data sets for
cultural diversity across nations and you can figure out things like Doxer.
You can have a feedback loop where if you release all the data open from teaching kids and learning from kids.
How to increase agency there.
Or on the medical side again, self learning systems.
Because you can make everything open with PII and other things.
And you can have
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