Artificial intelligence

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Lenny Rachitsky: We just had an insight right here. Sherwin Wu: Yeah. Yeah. Lenny Rachitsky: And I think even more interestingly, what do you anticipate will be a blocker for this engineer or this team in the coming months? Sherwin Wu: Yeah, you asked the model, you ask the AI to do the second and third order. Lenny Rachitsky: There we go. Sherwin Wu: Anticipate that and anticipate what the blockers will be next month too. Lenny Rachitsky: I think we've got a good idea right here. Sherwin Wu: Yeah. Lenny Rachitsky: This episode is brought to you by Datadog, now home to Eppo, the leading experimentation and feature flagging platform. Product managers at the world's best companies use Datadog, the same platform their engineers rely on every day, to connect product insights to product issues like bugs, UX friction and business impact. It starts with product analytics, where PMs can watch replays, review funnels, dive into retention, and explore their growth metrics.

Sherwin Wu: Yeah, you asked the model, you ask the AI to do the second and third order.

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