Matan Grinberg

speaker

1,930 appearances 2 recordings 2 series first heard Jun 2026 last heard 13 Jun

Matan Grinberg’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 2 in all, peaking in Jun 2026 with 2.

Appearances

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The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch · 20VC: Who Wins the Model War: OpenAI, Anthropic or Open-Source | Token Maxing, AI Hangovers & The Coming ROI Reckoning | Labour Displacement Fears are BS & Overblown | From Physicist to Sequoia Founder with Matan Grinberg, Founder @ Factory · 13 Jun 2026 podcast

Like eventually they're just going to not announce it.

And it's just like, hey, look, here's our model that's continuously getting better because already people have fatigue.

Like engineers at the enterprises that we work with,

Can't keep up with every single model that comes out, nor should they.

And I think that's the whole, you know, the case for the application layer, whether it's us or like a Harvey or whoever else is, we're going to figure out what model is best for what use case, where the tradeoff is between cost, quality, speed.

And we'll just deliver that to you based on the task that you have, because it's hard to focus on what matters for your business and then also keep track of all these models that keep coming up.

I think it's a really important counterbalance.

It basically allows you to make the trade-offs of what tasks do you want to put what level of intelligence on?

And I think it's a really important counterbalance because a lot of enterprises will realize so many of the tasks that we're doing, we don't need the very frontier to do it.

And we can do it much faster, much cheaper with these open models.

Again, it's part of the resource allocation.

And to do good resource allocation, you want to be able to be anywhere in that cost, quality, speed trade-off.

Oh, yeah, yeah, yeah.

I love that.

No, because it's such overkill.

But also there's a funny dynamic that emerges, which is there's kind of an ego thing where, oh, no, no, the work that I'm doing, only a frontier model could handle.

Oh, this mere open model can't deal with the work that I'm dealing with.

And this is like even admittedly, when I first started switching over, I'd be like, I don't think an open model can handle this.

And it's like, no, it probably can't.

It's kind of a funny thing to mentally deal with of deciding manually or then having the router do it for you.

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