It’s becoming a habit. Earlier this year, instead of waiting, like I usually do, for the next version of macOS to be ready (or nearly ready) before installing the current one, I installed Sequoia on all my Macs. A few days ago, I decided to take the plunge and install the very first developer beta of Tahoe on a Mac that I don’t use much, mainly to try out the new Liquid Glass interface on macOS.1

The conclusions of the post on Phi-4 left me stunned. How was it possible that a model like Phi-4 Reasoning Plus, which boasts an impressive 14.7 billion 4-bit parameters and was trained on scientific problems, particularly in mathematics, could have failed so badly? Comparing LLMs The question I asked Phi-4 Reasoning Plus was basic logic, a fourth-grade student could (and should) have answered it in 10 seconds. ChatGPT had no trouble at all and reasoned exactly as one would expect from the poor student.1

When was the latest truly memorable WWDC? I’d say in 2020, a year that was already memorable in itself, when Apple unveiled the new Macs with Apple Silicon processors, capable of outperforming their equivalent Intel-based models. I don’t know if what was presented at this year’s WWDC will be just as memorable, but there’s no doubt that Apple has came up with some interesting innovations.

After two long months, I was once again able to play again with LM Studio, and this post was supposed to provide a live description of the responses of some models I had just installed. However, things got out of hand when the first model I put under the magnifying glass, Microsoft’s 4-bit Phi-4, started behaving in strange ways that were worth describing in detail. From that moment on, the post you’re about to read practically wrote itself!

As I was writing about my transition from WordPress to Jekyll, I knew I had to prepare for another change. From a technical point of view, Jekyll is a fantastic platform: it is easy to program, has impeccable documentation, and works perfectly during the development phase, with a limited number of pages and test posts. But, as I experienced firsthand, when Jekyll is asked to handle a real site with hundreds of posts, performance drops dramatically and response times become unbearably slow (and quite embarrassing, too).

– Source: Markus Winkler on Unsplash. In the previous post I introduced the LM Studio interface, then tried the default suggested model (DeepSeek 7B) with one of the example prompts. What we really need, however, is to verify if an LLM is capable of performing those repetitive and somewhat boring tasks that increasingly fall to us and that it’s better to do on our own computer, without having to send confidential documents or documents that could contain sensitive data all over the web.1

– Paul Allen sitting at the teletype connected to the school computer, with a very young Bill Gates standing next to him. Source: Celebrate 50 Years of Microsoft Yesterday, despite the celebrations, I was a bit perfidious toward Microsoft. It must be said, though, that the celebratory piece written by Bill Gates for the 50th anniversary of his creature is beautiful. The text reveals nothing new, it’s all stuff well known to those who know a little about personal computing history, but the graphic realization is spectacular. Thanks to Bill for this beautiful gift!

Whether you Like it or not, Microsoft is the world’s largest software maker that, through methods both fair and questionable, has managed to get its products installed on the vast majority of computers on the planet. Today, Microsoft turns 50, and it feels like just yesterday when its two founders, Bill Gates and Paul Allen, assured Ed Roberts that they had a BASIC interpreter ready for his Altair 8800, the first truly personal computer, despite having never seen the Altair or the 8080 processor that powered it.

As some of you may already know, I use LLMs (Large Language Models) for what they’re really good at, but I’m pretty skeptical about whether they’re truly intelligent or can solve any problem, as the folks at OpenAI, Microsoft, Google, and Meta keep telling us every day. They’ve invested a ton of money in LLMs, and they obviously have a big stake in getting everyone to use them all the time.

– Source: Scott Rodgerson on Unsplash. As promised (or threatened?) in the last post, this post is dedicated to exploring the available options for hosting a Jekyll-based website (or any other static site generator), whether for a personal blog like the one you’re reading, a professional studio, or a small business website.