How AI Is Changing Product and Coding Skills

"If you teach your kids to be curious, to be independent, to be self-confident, you teach them how to think. I don't know what the future holds, but I think that those are gonna be skills that are going to be important in any configuration of the future."

• Cultivate curiosity and critical thinking.
• Emphasize foundational skills to adapt.

"We have great people... so I want to empower teams to move quickly. And I think it's more important to ship and iterate."

• Trust in your team's capabilities.
• Prioritize speed and learning over perfection.

"There's no question that that's the future. Every, you know, models are going to be everywhere just like transistors are everywhere. AI is going to be just a part of the fabric of everything we do, but I think there are going to be a lot of fine-tuned models."

• Fine-tuning enhances model performance.
• Incorporate ML engineers into product teams.

"The AI models that you're using today is the worst AI model you will ever use for the rest of your life. And when you actually get that in your head, it's kind of wild."

• Recognize rapid AI advancements.
• Plan products with future improvements in mind.

"High agency is something that we really look for... people that are not going to come in and kind of wait for everyone else to allow them to do something, they're just going to see a problem and go do it."

• Hire proactive PMs comfortable with ambiguity.
• High agency individuals drive progress.

"We really do try and go like very strongly bottoms up... We have great people... They have a real sense of what the capabilities are too, which is super important."

• Encourage a bottoms-up approach.
• Foster a culture of empowerment.

"We try and have a sense of where we're trying to go... I don't for a second believe that what we write down in these documents is what we're going to actually ship... But that's OK."

• Maintain a flexible roadmap.
• Empower teams to make swift decisions.

"There are immense opportunities in every industry and every vertical in the world to go build AI-based products that improve upon the state of the art. And there's just no way we could ever do that ourselves."

• Focus on industry-specific AI applications.
• Leverage unique data and domain expertise.

"You need to know whether your model is going to... If the model's 60% right on something, you're going to need to build your product totally differently."

• Craft precise evals to tailor AI models.
• Use evals to guide product design decisions.

"Everywhere I've ever worked before this, you kind of know what technology you're building on, but that's not true at all with AI. Every 2 months, computers can do something they've never been able to do before, and you need to completely think differently about what you're doing."

• Embrace rapid AI changes and stay adaptable.
• Plan flexibly and be ready to pivot.