The Track
A Section Blog
7 hard-won lessons from deploying AI at scale
We introduced our first AI avatar professor. Here’s why.
Earlier this month, we wrapped our very first AI avatar-led course. Here's the nitty-gritty calculus behind our decision to try avatars as instructors.
Meet your professor: Apple’s Amit Rawal from AI for Data Analysis
We sat down with Apple’s Amit Rawal to ask him all the things you should know before you take his course – including a sneak peek into his data analysis framework.
Pi had a million users. So why did Inflection just implode (and take Pi with it)?
Microsoft just cannibalized a company it was a lead investor in and took its chatbot down with it. Here's what that means for other AI startups.
5 roles AI can play to make you more strategic
Roleplay these scenarios with AI to make yourself a more strategic decision maker, presenter, collaborator, and leader.
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What is Web3 (and why should I care)?
Everything you need to know to talk about Web3 at your next cocktail hour.
The science-based secret to being more productive at work
Have you ever sat in a 9 a.m. meeting with your team and wondered why one person is jacked up on coffee and firing off ideas, and another person looks like they just woke up from a 100-year sleep?
You might think, “Well, the first person is just more productive. They’re good at their job, whereas Steve is a useless lump. Duh.”
But actually, it’s not that simple. These two people probably have different chronotypes – meaning they’re inclined to sleep, work, and recover at different times.
Warmly CEO: “Do 30% more with AI, or you’re underperforming”
We’ve seen a lot of bold announcements and leaked AI manifestos recently painting a future of clear, AI-first leadership. We sat down with Warmly’s CEO, Max Greenwald, to talk about his own AI mandate: 30% growth from every employee by the end of the year.
Is Deep Research worth $200 a month?
With new AI tools coming out all the time, it’s hard to know which ones are worth investing in. So here’s our lead AI consultant’s framework for whether you should shell out for Deep Research or not.
