Karina Nguyen: evaluation

Transcript context

…Holy moly. Okay, so speaking of Anthropic and OpenAI, you've worked at both. Very few people have worked at both companies and have seen how they operate. I'm curious just what you've noticed about the differences between these two, how they operate, how they think, how they approach stuff. What can you share along those lines? It's more similar than different. Obviously there was a lot of... There are some differences always comes to nuances. I would say culture. I really love Anthropic and I have a lot of friends there. And I also love OpenAI and they still have a lot of friends though. So it's not about enemies. I feel like there's in AI, it's all like, "Yeah, they're competitors. There's enemies." It's actually like one big community of people doing the same thing. I would say what I've learned from Anthropic is this real care and craft towards model behavior, model craft, model training. And I've been thinking a lot about, "Okay, what makes Claude Claude and what makes ChatGPT ChatGPT?" And it's like I still have some sense of operational processes that leads to the outputs, to the model. It's the outputed model. And it's like the reason why Claude has so much more personality and is more like a librarian... I don't know. I don't know. I am visualizing Claude being like a librarian at some point, very nerdy or something. ... is because I feel like it's the reflection of the creators who are making this model. And a lot of details around the character and the personality and whether the model should follow up on this question or not. What's the correct ethical behavior for the model in these scenarios? A lot of crafts and curated datasets. This is where I learned that part of art, I guess, at Anthropic. I would say Anthropic is much smaller. When I joined it was, what, like 70 people? When I left it was tons of people. And obviously the culture changed so much. I really enjoyed being early days startup lives, and people knew each other as a family. But the culture shifted. I would say that I learned from Anthropic that they're much better at focusing and prioritization of... Very hardcore prioritization, I guess. And they need to do it. But I think OpenAI's much more innovative and much more risk-takers in terms of product or research. Actually, in way your full-time job can be just teaching the model how to be creative writers. And it's like there's some luxury in this research freedom that comes with scale, maybe. I don't know. I'd say I have much more creative product freedom to do almost anything, I guess, within OpenAI, evolve ChatGPT into the vision that we want. It's more probably bottoms-up, I guess. Yeah, that's how I was thinking about it. It feels like OpenAI is more bottoms-up, distributed, people bubble up ideas, try stuff. And that leads to more products launching, I imagine more things just kind of being tried versus more of a, "Let's just make sure everything we do is awesome and great and craft and thinking deeply about every investment."…

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