For the past few years, Mistral has tried to carve itself a name as Europe’s answer to Silicon Valley’s AI giants, moving from smaller, open models to heavyweight systems like Mistral Large 3 in late 2025. After raising €3 billion in September 2026, the French start-up has doubled down on its ambition to compete with leading US and Chinese AI developers. Now, the company is trying again to take on the AI behemoths with Mistral Large 4, a massive open-weight model built for coding, complex reasoning, image analysis, and business automation.

AI models need huge amounts of data to train on, and researchers are warning that AI companies could run out of high-quality public data to use. Your own data isn't safe; even if you're unaware of it, AI companies may be training their models on your social media posts and more.

Running a capable language model entirely offline used to mean owning a powerful desktop. That assumption no longer holds. On my hardware, a phone app from Google runs the same model noticeably faster than Ollama does on my PC, and the reasons are more interesting than you might expect.

I'm not a huge fan of smart home dashboards; I want my smart home to work as automatically as possible. However, when I had an idea for building a retro game version of my house that I could use to control my smart home, I knew I had to make it happen.

Adobe Creative Cloud offers some of the best applications for creative jobs. The only drawback? You have to pay up to $70 a month—or about $840 per year—to access them. There are first-year promotions available, but even those add up to about $740 per year. That is a big commitment, especially considering the annual subscriptions come with hefty early termination fees.

Most of us download and install new apps and self-hosted services without a second thought, but if you do anything important on your PC, it can be a significant security risk.

Google’s Antigravity is an AI-first coding environment built on the bones of VS Code. It gets less attention than Gemini, yet it may be the company’s most interesting AI product. The key word here is most interesting, though, not better. Here’s what it does, where it impresses, and where it still frustrates.

Remember when gaming meant blowing into cartridges, mastering tricky platforming levels, and staying up late to finish just one more stage? Some of the greatest games ever made came from the golden age of consoles like the Sega Genesis, original PlayStation, and Xbox.

NVIDIA wants the RTX Spark to be the laptop chip for running AI agents on your own machine, so I expected my $3,200 HP OmniBook Ultra 16 to run circles around a Snapdragon laptop. Instead, Hermes took one look at the 32GB RTX Spark and said every model I wanted was too big. The Zenbook A16, with 48GB of memory and Qualcomm’s Snapdragon X2 Elite Extreme, loaded three of them in one click. It was slow, but for local AI agents, the cheaper laptop ended up actually getting the job done.

HP’s first RTX Spark laptops are here, and I've spent the past two weeks with the 32GB OmniBook Ultra 16. It really is a fantastic laptop in almost every way. I was able to game on it with basically no issues, and both its keyboard and OLED screen are among the best I’ve used. Then I asked it to do the thing NVIDIA is pitching hardest: run AI agents locally. With only 32GB of memory, that’s where this laptop hits a wall.

Do you, like me, obsess over your Claude sessions, trying to optimize everything down to a single token? If so, you’re in good company — I’ve been trying everything to stretch my $20 Claude Pro subscription as far as I can. However, all your tweaks and adjustments only work if you’re building them on a solid foundation. As it turns out, the way I was using Claude was actually working against me and inflating my token usage from the very first message.

I don't know about you, but I have more bills, invoices, bank statements, and healthcare documents than I know what to do with. Finding a specific detail, understanding a complicated term, or comparing this month's charges with last month's can take up more time than I'd like, not to mention the frustration involved. Tools like ChatGPT and Claude can make this much easier, but I'm not particularly comfortable with the idea of handing my financial, medical, or other sensitive information over to big tech companies just to get a few questions answered. I have enough concerns about how much data these companies collect without voluntarily giving them more.

AI agents have moved well beyond answering questions. They can now open folders, write code, and click through websites on your behalf. Here are three of the wildest things I’ve handed over to them, and what each one taught me about where this technology actually helps.

Cursor made AI-assisted coding feel effortless, but its subscription and cloud dependence left me looking for something leaner. Cline, an open-source extension for VS Code, covered most of what I needed, including working fully offline with local models.