Chamath Palihapitiya

what you're doing specifically for companies and how this training works in a verticalized way, and then how you silo that data.

Because if you're working with one customer in aerospace or FinTech, they might have a need set, but they may not want that training to go to a competitor.

Yeah, this seems to be once the entire open web, what was available legally, gray market, et cetera.

I wouldn't have you comment on that controversy, but we kind of exhausted what's in the open crawl, yeah?

We have.

And it's time to actually...

either make synthetic data or actually use experts.

Do you believe in synthetic data and where does that work and where does it fail?

Arthur, we've seen an incredible explosion.

We're sitting here on AO 52, after OpenClaw, the year of our Lord, 52 days.

When you first saw OpenClaw and saw the reaction of hackers, founders, startup CEOs, just the amount of energy and it racing to the top of GitHub with the most number of stars and likes and all these contributors, what did that say to you as an executive producer?

in the space who's been grinding on this for many years.

It is definitely something you have to be thoughtful about.

When I installed it, I gave it, just for my agent, root access to my Google Docs and my G Suite, my Notion, my Zoom.

And my notion and G calendar, everything.

And then I realized, wow, I can with my enterprise edition of Gmail, essentially, I can just summarize for my entire 21 person investment company, every conversation going on in Gmail and then correlate it with every conversation in Slack.

And then I realized, oh, my gosh, there's compensation discussions going on.

There is a person on a pip who we put about a performance improvement plan, perhaps, or something like that.

oh, I have to make sure nobody else can access this because the power comes from giving it access to data, but with great power comes great responsibility.

And I think people are learning that in real time.