Daniel Gross

It was called, it was originally called Greplin and rebranded to Q.

And it was Robbie Walker and Daniel Gross.

Robbie was my partner that had showed up at Y Combinator for his first startup.

And he was doing the second thing and I just couldn't help it, right? There were all these things that needed to be done And I just couldn't keep my fingers out of the mess.

It's like, it's a little bit of a Rorschach test on whether people, what they think about, you know, like a coach and stuff like that.

And you have some people like Daniel Gross who just think it's like the best movie ever.

Other people hate it, but I highly recommend watching the movie.

Yeah, look, a tough coach.

As Brockman says, they are still experimenting, but hoping to roll this out more broadly over upcoming weeks.

And as the investor Daniel Gross says, it's the early signs of a moat more significant than compute flops.

He shared this screenshot where you can ask GPT, what do you know about me? Where did we leave off on my last project? And remember that I like concise responses.

So why would that be a moat? Well, just like we saw with user engagement for GPTs, it makes models more addictive, more customized to you.

This comes to us from Ina Freed over at Axios.

Alexander Wang, AI executive at Meta, says that a former Apple exec named Daniel Gross over there, he's now at Meta, helped to bring Meta and Apple together again and said, we're excited for mommy and daddy to be playing nice again.

Did you see that quote? I did.

I did.

Mark Zuckerberg executed a major overhaul of Meta's AI strategy by bringing in highly connected industry veterans.

He hired Daniel Gross, a former Apple director, and Nat Friedman, the former CEO of GitHub.

Gross currently serves as Meta's compute co-lead, and Wang specifically pointed to him as the bridge for this deal.

Meta needs Apple's local processing power and their massive premium user base to prove their open models can run effectively anywhere.

Right.

That shift at the very top of Apple, combined with Meta strategically hiring former Apple director Daniel Gross onto their AI team last year, seemingly paved the way for this unprecedented collaboration.

The cultural thaw is fascinating to watch.

Meta's AI chief, Alexander Wang, was remarkably blunt about the whole thing.

The companies weren't coy about their past issues.

In fact, in an interview with Axios, Alexander Wang credited former Apple executive Daniel Gross, now at Meta Superintelligence Labs, for smoothing over the past grievances to work nicely together.

Said Wang, "We're excited for Mommy and Daddy to be playing nice again." Now, the idea that most enterprises are going to opt away from the easy hand me a solution sort of approaches that just getting a Claude or a ChatGPT subscription offer is unrealistic, at least in the short term.

But I do think that a growing portion of companies, especially those that do have some technical capabilities, are going to be looking to design more complex model architectures that allow them to move in and out of different models based on their needs and constraints, which could be performance and capability needs, or they could be cost and efficiency needs.