E124: AutoGPT's massive potential and risk, AI regulation, Bob Lee/SF update

**Jason Calacanis** (0:00)
Welcome to episode 124 of the All-In Podcast. My understanding is there's going to be a bunch of global fan meetups. For episode 125, if you go to Twitter and you search for all-in fan meetups, you might be able to find the link.

**David Sacks** (0:14)
But just to be clear, they're not official all-in. They're fans, it's self-organized, which is pretty mind-blowing, but we can't vouch for any particular organization.

**Jason Calacanis** (0:24)
Nobody knows what's going to happen at these things. You could get robbed, it could be a setup. I don't know.
But I retweeted it anyway, because there are 31 cities where you lunatics are getting together to celebrate the world's number one business technology podcast.

**David Sacks** (0:40)
It is pretty crazy. You know what this reminds me of is in the early 90s, when Rush Limbaugh became a phenomenon, there used to be these things called rush rooms, where like restaurants and bars would literally broadcast rush over their speakers during, I don't know, like for the morning through lunch broadcast.
And people would go to these rush rooms and listen together.

**Jason Calacanis** (1:00)
What was it like, Sacks, when you were about 16, 17 years old at the time? What was it like when you hosted this?

**David Sacks** (1:05)
It was a phenomenon. But I mean, it's kind of crazy. We've got like a phenomenon going here where people are self organizing.

**Chamath Palihapitiya** (1:12)
You've said phenomenon three times. Instead of phenomenon, he said phenomenon.

**Jason Calacanis** (1:17)
Phenomenal.
Why is Sacks in a good mood, Chamath? What's going on?

**Chamath Palihapitiya** (1:20)
There's a specific secret toe tap that you do under the bathroom stalls when you go to a rush room. You're already off the rails.

**David Sacks** (1:28)
I think you're getting confused about a different event you went to.

**Jason Calacanis** (1:52)
And generative AI is taking over the dialogue, and it's moving at a pace that none of us have ever seen in the technology industry. I think we'd all agree. The number of companies releasing product and the compounding effect of this technology is phenomenal. I think we would all agree. A product came out this week called AutoGPT, and people are losing their mind over it.
Basically, what this does is it lets different GPTs talk to each other.
And so you can have agents working in the background, and we've talked about this on previous podcasts, but they could be talking to each other essentially and then completing tasks without much intervention. So if, let's say, you had a sales team and you said to the sales team, hey, look for leads that have these characteristics for our sales software, put them into our database, find out if they're already in the database, alert a salesperson to it, compose a message based on that person's profile on LinkedIn or Twitter or wherever, and then compose an email, send it to them. If they reply, offer them to do a demo and then put that demo on the calendar of the salesperson, thus eliminating a bunch of jobs, and you could run these, what would essentially be Cron jobs in the background forever, and they could interact with other LLMs in real time. Sacks, I've just gave but one example here, but when you see this happening, give us your perspective on what this tipping point means.

**David Sacks** (3:24)
Let me take a shot at explaining it in a slightly different way. Not that your explanation was wrong, but I just think that maybe explain it in terms of something more tangible.

**Jason Calacanis** (3:33)
Sure.

**David Sacks** (3:34)
So I had a friend who's a developer who's been playing with AutoGPT. By the way, so you can see it's on GitHub, it's kind of an open source project. It was sort of a hobby project it looks like that somebody put up there.
It's been out for about two weeks. It's already got 45,000 stars on GitHub, which is a huge number.

**Jason Calacanis** (3:51)
Explain what GitHub is for the audience.

**David Sacks** (3:53)
It's just a code repository, and you can create repos of code for open source projects. That's where all the developers check in their code.
So for open source projects like this, anyone can go see it and play with it.

**Chamath Palihapitiya** (4:03)
It's like Pornhub, but for developers.

**Jason Calacanis** (4:06)
It would be more like amateur Pornhub because you're contributing your scenes, as it were, your code is. Yes, continue.

**David Sacks** (4:12)
But in any event, this thing has a ton of stars, and apparently just last night, I got another 10,000 stars overnight. This thing is like exploding in terms of popularity. But in any event, what you do is you give it an assignment. And what AutoGPT can do that's different is it can string together prompts. So if you go to ChatGPT, you prompt it one at a time. And what the human does is you get your answer, and then you think of your next prompt, and then you kind of go from there and you end up in a long conversation that gets you to where you want to go.