Micah-Hill Smith

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601 appearances 1 recordings 1 series first heard Jan 2026 last heard 8 Jan

Micah-Hill Smith’s voice in public audio — every appearance, attributed to the second.

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Latent Space: The AI Engineer Podcast · Artificial Analysis: Independent LLM Evals as a Service — with George Cameron and Micah-Hill Smith · 8 Jan 2026 podcast

And so that's what we're changing.

I mean, I th I think for hallucination specifically, there are a bunch of different things that you might care about reasonably and that you'd measure quite differently.

Like we've called this AA of Nissian's hallucination, right?

Not trying to declare that like it's a little bit more than a little bit.

You can uh you can have some interesting naming conventions and all this stuff.

Um the biggest picture answer to that, something that I actually wanted to mention just as George was explaining, critical point as well, is so as we go forward, we are building evals internally, we're partnering with academia and partnering with AI companies to build great evals.

We have

pretty strong views on in various ways for different parts of the AI stack, where there are things that are not being measured well or things that developers care about that should be measured more and better.

And we intend to be doing that.

We're not obsessed necessarily with that everything we do, we have to do entirely within our own team.

Critical Point is a cool example of where we were a launch partner for it working with academia.

We've got some partnerships coming up with

with a couple of leading companies.

Those ones obviously we have to be careful with on some of the independent stuff, but with the right disclosure, like we're completely comfortable with that.

A lot of the labs have released great data sets in the past that we've used to great success independently.

And so it's between all of those techniques we're going to be releasing more stuff in the future.

we'll I want to talk about your trends analysis stuff, you

Totally.

Before that actually I have one like little factoid on omniscience.

If you go back up to accuracy on omniscience, an interesting thing about this

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