Ramez Naam

speaker

373 appearances 1 recordings 1 series first heard Jul 2026 last heard 16 Jul

Ramez Naam’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 Pomp Podcast · Why Elon Wants to Put Data Centers in Space | Ramez Naam · 16 Jul 2026 podcast

You can tweak them.

You can run them where you want to.

That benefits the fast follower the most.

If you believe that you are in the lead, then releasing your model in a way that people can use freely or tweak themselves is just sabotaging your own margins.

But if you think that you're not in the lead, releasing your model in an open way can give you

you know, a big publicity boost.

And it can also, it can help you, you know, get enterprise sales, enterprise contracts to implement this stuff, to tweak the model for enterprise use.

That's how a lot of the Chinese companies are making money.

So I think it'll generally be that way.

But

That said, there are a couple places that open-weight models come out from the US.

One is Google Gemini puts out their Gemma or Gemma models, which are actually really pretty good.

And the other is that NVIDIA puts out Nematron because NVIDIA wants to sell compute.

So to NVIDIA, it's actually quite important to have open-weight models.

And they don't just put out open-weight.

They put out the recipe.

Here's the training data.

here's how we trained it, here's what we trained it on, here's the post-training we did, and so on.

So that's the closest to open source that we have possibly.

So there's some rumblings right now that China might start restricting the release of frontier AI in response perhaps to, or maybe for just similar reasons, to why the White House took some steps to slow down the release of recent models from Anthropic and OpenAI.

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