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Even Linus Torvalds is trying his hand at vibe coding (but just a little)

ai, AI (Artificial Intelligence), Artificial Intelligence, coding, GitHub, Google Antigravity, Linus Torvalds, LLM, Open Source, Programming, Tech, vibe coding, Windsurf

Linux and Git creator Linus Torvalds’ latest project contains code that was “basically written by vibe coding,” but you shouldn’t read that to mean that Torvalds is embracing that approach for anything and everything. Torvalds sometimes works on a small hobby projects over holiday breaks. Last year, he made guitar pedals. This year, he did […]

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10 Hackathons You Can Join in 2026

ai, AI (Artificial Intelligence), Artificial Intelligence, Career, Listicle, Programming, Skilltest

Hackathons are different!. The good ones pull you in, stretch your thinking, and leave you with something real—regardless of the outcome. The problem is choice. It’s hard to find the right one! Too many hackathons. Too many formats. And too much noise. So this list is built with that in mind. Instead out outlining Hackathons

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Generation AI: fears of ‘social divide’ unless all children learn computing skills

ai, AI (Artificial Intelligence), Artificial Intelligence, Cambridge, Children, Computing, Education, Programming, Raspberry Pi, Schools, Society, Technology, UK news

Children are growing up as AI natives and experts say computing skills should be on par with reading and writingIn a Cambridge classroom, Joseph, 10, trained his AI model to discern between drawings of apples and drawings of smiles.“AI gets lots of things wrong,” he said, as it mistakenly identified a fruit as a face.

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How do AI coding agents work? We look under the hood.

agentic ai, ai, AI Agents, AI coding, AI work, anthropic, Artificial Intelligence, Biz & IT, Claude Code, Codex, context windows, Large Language Models, Machine Learning, OpenAI, Programming, software development, vibe coding

AI coding agents from OpenAI, Anthropic, and Google can now work on software projects for hours at a time, writing complete apps, running tests, and fixing bugs with human supervision. But these tools are not magic and can complicate rather than simplify a software project. Understanding how they work under the hood can help developers

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New Blog series – Memoirs of a TorchVision developer

Artificial Intelligence, Framework, Machine Learning & Statistics, Programming

I’m starting a new blog post series about the development of PyTorch’s computer vision library. I plan to discuss interesting upcoming features primarily from TorchVision and secondary from the PyTorch ecosystem. My target is to highlight new and in-development features and provide clarity of what’s happening in between the releases. Though the format is likely

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A sneak peek at TorchVision v0.11 – Memoirs of a TorchVision developer – 2

Artificial Intelligence, Framework, Machine Learning & Statistics, Programming

The last couple of weeks were super busy in “PyTorch Land” as we are frantically preparing the release of PyTorch v1.10 and TorchVision v0.11. In this 2nd instalment of the series, I’ll cover some of the upcoming features that are currently included in the release branch of TorchVision. Disclaimer: Though the upcoming release is packed

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5 tips for multi-GPU training with Keras

Artificial Intelligence, Machine Learning & Statistics, Programming

Deep Learning (the favourite buzzword of late 2010s along with blockchain/bitcoin and Data Science/Machine Learning) has enabled us to do some really cool stuff the last few years. Other than the advances in algorithms (which admittedly are based on ideas already known since 1990s aka “Data Mining era”), the main reasons of its success can

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