OpenAI researcher on why soft skills are the future of work | Karina Nguyen (Research at OpenAI, ex-Anthropic)

Not only are you working at the cutting edge of AI and LMs, you're actually building the cutting edge. When I first came to Andarbine, I was like, Oh no, I really love front and engineering. And then the reason why I switched to research is because I realized, oh my god, Cloud is getting better at front ends. Cloud is getting better at like coding. I think Cobb can like What skills do you think will be most valuable? going forward for product teams in particular. Creative, thinking. And you kind of want to like generate a bunch of ideas and like filter through them and just build the best product experience. I think it's actually really, really hard to teach the model how to be aesthetic, a really good visual design, or like how to be extremely creative. in the way they write. What do you think people m most misunderstand about how models are created? When you taught the model some of the self-knowledge of you actually don't have a physical to operate in the physical world. The model would get like extremely confused.

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 Clot 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. In our conversation, we talk about how teams at OpenAI operate and build product, what skills she thinks you should be building as AI gets smarter, how models are created, why synthetic data will allow models to keep getting smarter, and why she moved from engineering to research after realizing how good LMs are gonna be at coding.

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