Trenton Bricken

Totally.

And I think we're very used to chat interfaces, whether we're texting or using Google.

And it's weird to think that the agent can actually go and fetch its own context and store its own facts into its memory system.

And I still think that it's the nines of reliability.

And if you scaffold the model correctly or prompt it, it can do much more sophisticated things than the average user assumes.

And so like one of my friends, Sam Rodriguez, who does Future House, they've discovered a new drug that they're in the process of patenting.

And by the time this episode comes out, that will be live.

What was that?

LSD V2?

Wait, is it really?

No, they're not making LSD.

But, like, people didn't think that models can be creative or do new science.

Right.

And it does just kind of seem like a skill issue.

So this was just over a conversation, and so we'll need to refer to the full announcement.

But my impression is that it was able to read a huge amount of medical literature and brainstorm and make new connections and then propose wet lab experiments that the humans did.

And then through iteration on that, they verified that this, like, new compound does this thing that's really exciting.

Okay.

Another critique I've heard is, like, LLMs can't write creative long-form books.

And I'm aware of at least two individuals who probably want to remain anonymous who have used LLMs to write long-form books.