Pedro Franceschi

speaker

536 appearances 1 recordings 1 series first heard Jun 2026 last heard 10 Jun

Pedro Franceschi’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jun 2026 with 1.

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Y Combinator Startup Podcast · "The CEO Must Be the Chief AI Officer" · 10 Jun 2026 podcast

And of course, these are generalities, right?

But I think what I've seen is you have to remember that LMs are not magic.

Like LMs are trained on a very specific corpse of information, optimizing for a very specific set of benchmarks and outcomes.

And I think the biggest pitfall of LLMs is you have no sense of how much training data the model has seen for the exact thing that you're asking it.

So imagine if like every time you ask an LLM a question,

It gave you like, yeah, the sampling frequency of this in my data set was, I don't know, x. And on this other answer was 0.00001x.

You would trust it's very different, right?

The distribution is so different.

Yeah, 100%.

I would pay for it.

And that's what Mercore and a lot of the other data companies are doing.

A lot of the jobs for them is to say, well, what are the blind spots for LLMs?

And it's funny.

I think a lot of the data labeling companies right now are trying to understand the pitfalls in the models.

But the problem is, in order to do that, you have to be an expert.

to know what the gaps are in the answers.

But the problem as a founder when you're looking for an idea is you know nothing about it.

So there is a curse of knowledge and a curse of not even knowing what the bounds of knowledge is, which I think can make you believe that you understand something that you actually

You and Art of Model actually understand.

Yeah.

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