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No More Paying for Adobe?! 😳 Someone used AI to rebuild Photoshop, Premiere, Lightroom and 4 more Adobe apps as completely free, open-source software, and it’s all on GitHub. The project is called ArtCraft. It’s built in Rust with Claude Opus 5.5 and runs on Windows, Mac and Linux. The apps are still in early alpha, but they’re improving fast. The developer says he made it after getting hit with Adobe’s cancellation fee one too many times. Mizkif reacts and explains why he thinks Adobe stock is
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There's a single file on GitHub with 170,000 stars that makes Claude noticeably smarter the second you install it. It's called Behavioral Skills Claude md Drop it into your project, and Claude stops doing the four things every Claude user complains about. Over-engineering simple tasks. Ignoring your instructions. Marking things complete when they're not. Hallucinating fake APIs. #claudecode #claudeai #anthropic #karpathy #github #aitools #aifornontechies
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Ada satu file di GitHub dengan hampir 200 ribu stars yang isinya bukan ngasih tahu Claude harus ngapain, tapi apa yang jangan dilakuin. Masukin ke Claude project lu supaya dia gak over-engineer task sederhana, gak bikin asumsi saat bingung, gak bikin perubahan random, dan selalu double-check hasilnya. https://github.com/multica-ai/andrej-karpathy-skills
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3 AI Projects That Can Actually Make Your GitHub Portfolio STAND OUT in 2026 🚀 If you’re learning AI Engineering, Machine Learning, Generative AI or LLMs and wondering “What projects should I build to get a job?” start here. 👇 In this video, I break down 3 job-ready AI projects that you can build and showcase on your GitHub portfolio. You’ll learn: ✅ What to build ✅ Why each project matters ✅ Which AI/ML skills it demonstrates ✅ How to structure the project ✅ What to add to your GitHub README
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Instead of importing PyTorch, this project makes you build your own version of it. TrenTorch is the coding curriculum that forces you to build your own machine learning framework instead of just importing one. Most people treat neural networks like a black box, but this project makes you write every single line of code on plain NumPy to recreate the actual machinery of PyTorch. It breaks the work into twenty progressive steps, guiding you from basic math all the way to building a real language m
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