Sriram Krishnan

speaker

182 appearances 1 recordings 1 series first heard Jul 2026 last heard 24 Jul

Sriram Krishnan’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 Jul 2026 with 1.

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The a16z Show · Sriram Krishnan on Open Source AI's Biggest Week Yet · 24 Jul 2026 podcast

You have, uh,

Gemma from Google, you have Nemotron from Nvidia, you have obviously Thinky, you have newer startups like Reflection coming out.

I think they will continue to be better, but we are in a moment of time when the leading models are Chinese, which I think is not great.

I would much rather prefer them to be American.

I think the second part of it is I, look, I grew up loving open source.

Open source is a big part of, you know, how I got into computers, a big part of my career.

And I was a big fan of Linus' law, as in Linus Torvalds of Linux fame's law.

And his law was that given enough eyes, all bugs are shallow.

And what I believe with that is that open-weight models are inherently secure because when you download a model of Hugging Face, it means you have the entire world being able to take it apart, inspect it, fine-tune it, modify it, look at it in ways that you absolutely cannot if they are closed.

So I kind of believe that they bring a very, very different positive angle to security.

The moment we are in, which I think is not great, is I think there was an incident with Hugging Face that got reported on earlier today, which I think was an active tweet.

And what Hugging Face seems to have found is that somebody was using, essentially, definitely an AI LLM agent to hammer them at multiple places and to find ways to break in.

And I think the way to counter that is to make sure American or Western or allies defenders have access to the best models to make our software just more secure.

So which is why, like I said, I don't love that we are in a moment where it may be harder to look at your own code for exploits with, say, Fable than it is when you use a Chinese model.

That's just a weird spot to be.

And I think we should fix that.

Now, one very interesting discussion, which has been happening a lot on X, is about distillation and what that means.

So it's kind of a complex topic because there's a few things in there.

So first of all, every model we have today distilled off of all human knowledge, right?

If you go back to the original GPT or the original...

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