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15/08/2026

Meta just released a serious AI model that anyone can download and Zuckerberg published a long manifesto for why that matters. His case is that whoever ends up holding the most powerful AI ends up holding a lot more than that. But the timing of the release is something for us to think about.

14/08/2026

Anthropic signed the EU's transparency code, and from this month every new Claude model quietly signs what it writes. The mark is inside the words themselves, so it survives copy and paste.

12/08/2026

Your AI gives a confident answer. It's wrong. So the team starts hunting for a better model, when the model was never the problem, what it was handed to read was. RAG is how you fix that, and there are five ways to build it and each one solves a different failure.

07/08/2026

Elon Musk has been warning about this for over a decade, and last week he said it had arrived. The strange part isn't that AI solved something hard. It's what the people building it are now admitting they can't predict.

06/08/2026

There's a new AI job that pays well and doesn't require coding. Harvard named it, companies are already hiring, and the training is free. Here's what the role actually is and how to prove you can do it.

05/08/2026

Most people learning AI right now are paying for courses that teach less than this one does, and this one costs nothing. It takes you from how AI actually works all the way to building your own neural network, and it uses the same tools working AI engineers use every day.

04/08/2026

Everyone thought the AI race was about who builds the smartest model. It just quietly changed. Anthropic and OpenAI are now placing their own engineers inside regular businesses to build custom AI systems from the inside out, and there's a $1.5 billion company built to do exactly that.

31/07/2026

AI models need high-quality human writing to keep improving. But as AI-generated content floods the internet, companies are turning to books as one of the last reliable training sources—raising big questions about copyright, authors, and who owns human knowledge.

30/07/2026

Most people pick an AI tool out of habit, not fit. They run everything through the one they know, and quietly settle for worse answers, slower work, and output that needs fixing. The people who look effortless with AI aren't power users of one model. They just learned which tool wins which job. Here's the lineup which is genuinely best at.

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