Lenny Rachitsky (00:00:00): Not only are you working at the cutting edge of AI and LLMs, you're actually building the cutting edge. Karina Nguyen (00:00:06): When I first came to Anthropic and I was like, "Oh my God, I really love front-end engineering." And then the reason why I switched to research is because I realized, "Oh my God, Claude is getting better at front-end. Claude is getting better at coding. I think Claude can develop new apps." Lenny Rachitsky (00:00:20): What skills do you think will be most valuable going forward for product teams, in particular? Karina Nguyen (00:00:26): Creative thinking and you kind of want to generate a bunch of ideas and filter through them and not just build the best product experience. I think it's actually really, really hard to teach the model how to be aesthetic or really good visual design or how to be extremely creative in the way they write. Lenny Rachitsky (00:00:42): What do you think people most misunderstand about how models are created? Karina Nguyen (00:00:46): When you taught the model, some of the self-knowledge of you actually don't have a physical body to operate in the physical world, the model would get extremely confused. Lenny Rachitsky (00:00:58): Today my guest is Karina Nguyen. Karina is an AI researcher at OpenAI where she helped build Canvas, tasks, the o1 chain-of-thought model and more. Prior to OpenAI, she was at Anthropic where she led work on post-training and evaluation for the Claude 3 models, built a document upload feature with 100K context windows and so much more. She was also an engineer at New York Times, was a designer at Dropbox and at Square. It's very rare to get a glimpse into how someone working on the bleeding edge of AI and LLMs operates and how they think about where things are heading. Canvas (00:01:31): In our conversation, we talk about how teams that OpenAI operate and build products, what skills she thinks you should be building as AI gets smarter, how models are c...