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I got the idea for this text after learning from the Fireship channel about the latest Linux kernel exploit, which was related to a 2017 commit. And last week, I was discussing with friends who work with data science why I prefer to stay away from Linux today.

All right, but who am I to talk about this subject? I’ve been using macOS since mid-2007, without dual boot with Windows until mid-2010. After that time, I mainly used Windows to run Microsoft Flight Simulator X, until I eventually returned to using macOS exclusively until mid-2018.

From 2018 onwards, I became increasingly interested in computers and eventually started using Linux on an old MacBook that still powered on at the time. This MacBook was very limited and, even then, wasn’t capable of running a light distro like Linux Mint with XFCE well. Later, I realized it was becoming complicated to continue using my MacBook Pro with macOS, which would soon lose support, so I decided to start using Linux full-time. This phase lasted until mid-2022, when I bought my MacBook Air M2.

As is the case for many macOS or Linux users, during almost all this time I continued to have contact with Windows, especially at work. And currently, I use Windows 11 daily. That said, I believe I can offer my perspective as a user who genuinely uses these operating systems for daily tasks, who no longer plays online or offline games, and just wants a computer that is fully functional whenever turned on. I believe this covers a good portion of these systems’ uses.

I built TrimBox to solve my own Google Drive storage woes. It safely compresses images within Drive, cutting down on size without noticeable quality loss. Check it out and let me know what you think! (One-time purchase, subscriptions to come).

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Anthropic recently published a fascinating paper with an unusual title: “On the Biology of a Large Language Model.” But what does biology have to do with AI? As it turns out, quite a lot. The researchers are essentially performing a digital dissection of Claude’s “brain” to understand how it thinks—and finding surprising parallels to biological systems along the way.

In this post, I’ll break down this complex research into digestible parts, explaining how scientists are starting to understand what’s happening inside these AI systems when they answer our questions or write poetry.