Peter Steinberger

speaker

1,527 appearances 1 recordings 1 series first heard Feb 2026 last heard 12 Feb

Peter Steinberger’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 Feb 2026 with 1.

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Lex Fridman Podcast · #491 – OpenClaw: The Viral AI Agent that Broke the Internet – Peter Steinberger · 12 Feb 2026 podcast

You can deduce any idea to like a silly, yeah, it's just a cron job in the end.

isn't love just evolutionary biology manifesting itself and uh isn't aren't you guys just using each other and again and the project is all just glue of a few different dependencies and there's nothing original why do people well you know isn't dropbox just ftp with extra steps yeah i found it surprising where i had this uh i had a shoulder operation a few months ago so

And the model rarely used heartbeat, but then I was in the hospital and it knew that I had the operation and it checked up on me.

It's like, are you okay?

And I just, it's like, again, apparently like if something significant in the context that triggered the heartbeat when it rarely used the heartbeat.

And it does that sometimes for people and that just makes it a lot more relatable and

You know what I love?

What?

half a year ago, everyone was talking about MCPs.

And I was like, screw MCPs.

Every MCP would be better as a CLI.

And now, this stuff doesn't even have MCP support.

I mean, it has with asterisks, but not in the core layer.

And nobody's complaining.

So my approach is,

If you want to extend the model with more features, you just build a CLI, and the model can call the CLI, probably gets it wrong, calls the help menu, and then on demand loads into the context where it needs to use the CLI.

It just needs a sentence to know that the CLI exists if it's something that the model doesn't know by default.

And even for a while, I didn't really care about skills, but skills are actually perfect for that because they boil down to a single sentence.

that explains the skill, and then the model loads the skill and that explains the CLI, and then the model uses the CLI.

Some skills are like raw, but most of the time, networks.

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