The Track
A Section Blog
How to use AI for SEO content without sacrificing quality
Try these 3 things before giving up on AI
In this interview, Jeremy Utley exposes the confirmation biases that cause us to bounce off AI – and how you can get a result that will make it stick.
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.
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.
2 simple data skills that every single person should know
The ability to quickly clean and analyze a data set will make you better at every part of your job. But it’s easy to go a long time without learning these skills. (And if you’re far along in your career, it can feel embarrassing to ask for help!). That’s why we're sharing our quick guide on two basic data skills everyone should have.
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.
