Image created with gemini-3.1-flash-image-preview with claude-sonnet-4-5. Image prompt: Animation cel style illustration of a muscular blue genie with friendly expression emerging from a golden oil lamp on the left, reaching toward and gazing at an ornate Arabian mirror on the right that shows his reflection plus swirling recursive magical symbols and patterns spiraling inward, jewel tones with purple and teal wisps, Disney quality hand-drawn aesthetic with clean lines and cinematic lighting, horizontal space at top for text overlay, simple gradient background
Manus AI launches Agent Skills open standard for pros https://www.testingcatalog.com/manus-ai-launches-agent-skills-open-standard-for-ai-workflows/
Mark Zuckerberg says a future without smart glasses is ‘hard to imagine’ | TechCrunch https://techcrunch.com/2026/01/28/mark-zuckerberg-future-smart-glasses/
Introducing LlamaBarn — a tiny macOS menu bar app for running local LLMs Open source, built on llama.cpp”” https://x.com/ggerganov/status/2016912009544057045
A great survey from Meta, Google DeepMind, Illinois and others → Agentic Reasoning for LLMs It’s all about how reasoning moves from pure “thinking” to acting in real environments Covers: – Agent types: single, self-evolving, and multi-agent systems – Environmental dynamics -“” https://x.com/TheTuringPost/status/2014426580282728609
LLaMA Factory – an open-source unified toolkit for training, fine-tuning, and deploying 100+ LLMs and multimodal models. It wraps training into a clear CLI + Web UI, supporting everything from SFT to RL, all without glue code. What it gives you: – Fine-tuning for LLaMA, Qwen,”” https://x.com/TheTuringPost/status/2014827186629595429
🌟🚀Sparse Attention Models Can Get Sparser We’ve updated The Sparse Frontier–the largest empirical analysis of training-free sparse attention to date–from Qwen 2.5 to 3 model families, now including Llama 3.1 and Gemma 3. Key findings: 📊 Larger sparse models outperform”” https://x.com/p_nawrot/status/2017161371566178304
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