AI
In part 1 of this series, we had a look at LM Studio and explored small models. I found a really good model, Qwen 3, which had 1.7 billion parameters. It performed well, comparable to models of about one to two gigs in size. However, there was a promising...
Optimization
Interview with Cristina McGuire There’s the experimentation everyone talks about. And then there’s how it actually happens. We’re hunting for signals in the noise to bring you conversations with people who live in the data. The ones who obsess over test design and know how to get buy-in when...
A/B Testing
I hope we are all past the “GA4 isn’t useful” language. I try not to judge others. But when something like that is said, it’s hard not to. 🙊 Not because I’m a big GA4 fanboy (I’m not). It’s because the tool is fairly irrelevant – what matters is...
A/B Testing
Frequentist and Bayesian are the two main approaches A/B testing tools use to crunch results. One uses a fixed, pre-determined sample size and p-values. The other gives probabilities like “there’s an 85% chance this version is better.” Which should you trust? It depends on your traffic, test design, and...
Growth Marketing
In Shakespeare’s play Henry V, Henry is with his men, and they are outnumbered by the French. It’s the famous battle of Agincourt. A man comes rushing in and tells Henry that the French are set and ready to march. Henry replies, “All things are ready if our minds...
AI
What do we want from AI? I want them to be accurate and practical for the tasks I need them to perform. And AI certainly achieves that for the most part. But peel back a layer and there’s a whole bunch of stuff that suddenly becomes really important. Security...