Decision tools and frameworks for autonomous living
For the episode 14 of my series in which I test local models that fit on a 16GB MacBook Pro I chose Alpie Seed, a post-train of Qwen 3.5 9B. It comes from a company called 169pi, headquartered in Mumb
This is episode 13 of the series in which I test local models that actually fit on a 16 GB MacBook Pro. Today’s model is Nanbeige 4.2, the 3B version. It comes from a company connected to Boss Zhipin,
For the 12th episode of my series in which I test AI models that fit locally on a 16GB MacBook Pro, I chose K2 Horizon 3.7B. The model comes from the Institute of Foundation Models at Mohammed bin Zay
There’s something fascinating happening in the world of AI at this moment, and hardly anyone talks about it. AI can improve itself without training. Say that again? Yes! It turns out frontier models a
As you already know, most of my local AI tests happen on a 16 GB MacBook Pro. Models in the 4B-9B range are the sweet spot there, and I’ve even run the Ternary Bonsai 2, at 27B (on a heavy quant). Thi
For the 10th episode of my series in which I test local AI models that fit on a 16GB MacBook Pro, I chose something different: a model that runs in your browser. Most of the models I’ve tested so far
For the 9th episode of my series in which I test local AI models that fit on a 16GB MacBook Pro, I chose Ling 3.0 Tiny. It’s a 7.9 billion parameter mixture-of-experts model with 1.7 billion parameter
This is the 8th episode in the series where I’m testing a local AI model that runs on a 16GB MacBook Pro. Today I’m doing something special: I picked the model that Apple ships with Apple Intelligence
Lately, I’ve been thinking a lot about the upcoming Anthropic IPO. There are 2 things that are out of proportion, and a third one that nobody talks about. I’ve made a small video about it (mostly ramb
