The Track
A Section Blog
7 hard-won lessons from deploying AI at scale
ChatGPT o1: What’s cool, what’s hype, and what happens next
OpenAI just changed the LLM game with the release of ChatGPT o1. Here's what it means when it says it's "thinking", how to prompt it, and what this all means for the future.
Where’s the AI ROI?
AI is not like software. So how can you measure whether it's worth the investment or not?
The most AI Proficient industries in 2024
A rundown of the industries that are leading the AI charge – and what sets them apart – and which are lagging behind.
Claude for Teams: What You Need to Know
Will Anthropic's new features in Claude for Teams – “Projects” and "Artifacts" – really make your team more collaborative and productive? We put them to the test.
When to use a specialized AI tool vs. an LLM
If you’re hitting the limits of your LLM because you need more data or niche training, you’re likely doing a lot of high-end knowledge work – and that’s where specialized AI tools come into play.
We tested two Deep Research tools. One was unusable.
Two LLMs have released Deep Research features without much of a splash. So if you’ve been wondering about them (and don’t want to pay the $200/month price tag), read on for our Chief of Staff’s take on ChatGPT vs. Gemini.
Your team doesn’t know what to use AI for
Change management is likely not the biggest bottleneck to your AI deployment anymore: Our latest AI Proficiency Report shows that people want to use it, but they can’t figure out what it should be used for.
SMB leaders have an AI adoption problem
In public, they’re touting AI proficiency. In private, they’re not sure what generative AI even is.
