The Track
A Section Blog
Leaking our own AI manifesto
Our hot take on Google Gemini
On Wednesday, Google announced its long (long, long)-awaited AI product, Gemini. We dug in to understand whether Gemini lives up to the hype, what it signals for OpenAI and Microsoft, and what you can use it for right now.
The best AI chatbots in 2023
AI chatbots are not all built the same, and even the best ones aren’t best for every use case. That's why we put together a list of the best AI chatbots in 2023 - consider it your "holiday gift guide" for AI.
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.
AI hallucinations aren’t a big deal
It’s hard not to hear that AI hallucinates and not have a few alarm bells go off. But ‘hallucinations’ is a loaded word. Machine & Partners’ Edmundo Ortega is back to explain why they’re nothing to worry about.
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.
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.
