AI’s third era: the rise of persistent AI coworkers | Tara Seshan (OpenAI’s product lead)

If you think about the first era of AI products as chat, the second era of these products working with agents, that third era that might come soon is how do you work with a persistent co worker who is able to get things done with you. hard to understand what is going to emerge in the future. You fail if you build for where the models are now, you fail if you build for where you think the models will be in a year. Both outcomes are equally wrong. Only way to build is two to three months. What if you had to most adapt to And adjust in how you operate as a PM in this world. Being prolific and empirical is way more important than being academic or theoretical. Rather than writing out some long reasoning duct, instead it's like, how do I get to something I can try out and test with users as fast as possible? It feels like not only are we able to be more ambitious, we almost need to be more. ambitious, which is not natural for a lot of people. Elevating others' ambitions or reminding them of what's possible here is a huge part of the product management role. I'm curious what's most surprised you about what it's actually like to work at OpenAI. I came into the company expecting that there was a treasure trove of open AI secret strategy. Actually OpenAI is open.

Today my guest is Tara Sation. Tar Lead's product for both Codec and ChatGPT work at OpenAI. I believe this is the fastest growing and arguably most important AI product for knowledge workers today. Tar works alongside Andrew Ambrosino. Who was a recent podcast guest, he's her end manager.

Prior to open AI, Tar spent six years at Stripe. Where she joined as one of the first five product managers, and for many of those years, she was named one of the top three Stripes across the entire organization of Stripe. She also led product at Watershed, was a founder and a teal fellow. And most importantly of all Taro was one of the three Lenny's newsletter fellows.

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