The Track
A Section Blog

Is Deep Research worth $200 a month?

How to get AI to nail a task in 4 steps
If you want AI to take over your grunt work, you have to put in some upfront effort to show it how. Our Education Product Lead, Tara Aranha, is giving you 4 easy steps to follow.

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.

The biggest lessons from Tinder’s Matchmaker feature
We're diving into the product strategy behind Matchmaker, a new feature from Tinder that lets you share your potential matches with friends and family. Read on for our take on why this development is a product engagement win.

What does the OpenAI implosion mean for you?
Tens of thousands of GPT developers (and other OpenAI true believers) watched in horror over the weekend, asking themselves: “Is my commitment to OpenAI and their technology going to turn out to be a massive mistake?” Section CEO Greg Shove doesn't think so. Read his take on what’s happening at OpenAI and what it means for you.

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.