The Track
A Section Blog
Can you build a team of just AI tools?
The best open-source AI chatbots in April 2024
While big players like OpenAI, Anthropic, and Google have been stealing the spotlight, a crew of underdogs have been working on models to give them a run for their money. But how do they stack up?
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.
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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.
Why shadow AI is probably happening in your company
We surveyed over 5,000 knowledge workers in the second half of 2024 on AI knowledge, skill, and usage. One of the most troubling takeaways: AI use is happening, whether your company sanctions it or not, and the implications are huge.
Why most organizations aren’t ready to deploy AI
In September, we re-ran our AI Proficiency Survey to over 5,000 knowledge workers across the US, UK, and Canada. Our biggest takeaway: The knowledge workforce is vastly unprepared for an AI-augmented future.
