The Track
A Section Blog
Losing Our Minds To AI
The VC perspective on successful AI startups
You might have a cool idea for an AI startup, but is it venture backable? General Catalyst's Christopher Kauffman will tell you.
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.
What you really need to know about ChatGPT-5
ICYMI, OpenAI launched ChatGPT-5 . If your head is still spinning from the other 6 models they’ve released this year, here’s our guide on what’s different and what you actually need to pay attention to.
You're bad at using AI because you're bad at managing people
Managing people and managing AI are the same skill. So if you can’t get a good output from AI, slow down and treat it like a direct report.
How the Royal Family’s AI-powered mental health agent overcame privacy concerns
Most orgs feel unready for the challenges that Gen AI brings to risk management. Yet many AI applications will have to navigate the line between user value and user privacy. So we sat down with specialist, Brian Kolodny, to understand how he traversed matters of privacy when building a mental health bot for the Royal Family’s foundation.
Our Guide to Building Enterprise AI Applications
Every company needs to be thinking about where AI slots into their product or service, but all the noise and hype makes it hard to determine what a valuable vs. novel use case looks like. Machine & Partners’ Ed Ortega is sharing 2 frameworks to narrow down your laundry list of AI ideas.
