Inside How Anthropic Is Building the Next Claude | Alex Albert

I was definitely the first prompt engineer at Anthropic. I might have been the first in the world. We treat the model as if it's a product to some degree. With every new model, we are specking out exactly what do we want this model to be good at. When the agent isn't running a task for you, or maybe

it's in the background, it's actually going through its memories, finding things that [music] might contradict, pruning them, cleaning them up. This concept of dreaming. Engine time isn't as much of a one-way door these days. If it's something that's not a one-way door, that's effectively free at this point. Agents that are running on task

for a long amount of time and they're having to make a lot [music] of judgment decisions. The questions of what its character is and what it cares about are very important. Did you have to Did you have to try to avoid consciousness when you were training it and stuff? This is a big question.

Alex, it's great to have you here today with Clock Conference. And you used to be head of DevRel at Anthropic, right? And you recently became product manager for the research team, right? Is that it? So, I've been a PM for like over a decade now, too. As a PM, you kind of try to

understand the user problem, you try to identify solution, you try to build stuff. But, you know, I have no clue about how a PM works on a research team. Maybe we can talk a little bit about that. >> It's very similar in that sense. Um I'm always wanting to talk to customers, get as close to our users as we can.

Uh And we we treat the model as if it's a product to some degree. So, with every new model, we are specking out exactly what are the requirements for this model? What do we want this model to be good at? Uh what do we think it's going to be good at? Because that's that's