Image created with gemini-3.1-flash-image-preview with claude-sonnet-4-5. Image prompt: Vintage 1990s screen-printed t-shirt graphic in single-color deep red ink on worn mustard-yellow cotton fabric, depicting a simple cartoon storefront with large bold text ‘LOCAL’ integrated prominently into the design, a friendly computer with a face in the shop window, hand-drawn linework with slightly imperfect registration, aged fabric texture with minor wear and fading, humorous nostalgic charm, bold graphic composition optimized for low-fi screen printing.
Ollama can now run prompts on a schedule in Claude Code. Stay on top of work by setting automated tasks or reminders. ollama launch claude /loop Give me the latest AI news every morning Examples in thread
https://x.com/ollama/status/2031482512019759545
Run prompts on a schedule – Claude Code Docs https://code.claude.com/docs/en/scheduled-tasks
Today we’re launching local scheduled tasks in Claude Code desktop. Create a schedule for tasks that you want to run regularly. They’ll run as long as your computer is awake.
https://x.com/trq212/status/2030019397335843288
If you find Claude Code with local models to be 90% slower, it’s because CC prepends some attribution headers, and this changes per message causing it to invalidate the entire prompt cache / KV cache. So generation becomes O(N^2) not O(N) for LLMs.
https://x.com/danielhanchen/status/2031124589557002457
Learn how to run Qwen3.5 locally using Claude Code. Our guide shows you how to run Qwen3.5 on your server for local agentic coding. We then build a Qwen 3.5 agent that autonomously fine-tunes models using Unsloth. Works on 24GB RAM or less. Guide: https://x.com/UnslothAI/status/2031008078850924840
Gemma-4 imminent
https://x.com/scaling01/status/2030986695181836466
Holy, Gemma 4 will be 120b in total, 15b active parameters
https://x.com/kimmonismus/status/2031001097993642009
Nice: Gemma 4 is already leaked. Curious what else we will see.
https://x.com/kimmonismus/status/2031116062272688467
Selectively reducing eval awareness and murder in Gemma 3 27B via steering — LessWrong https://www.lesswrong.com/posts/QfM6SHyBPveDtHAma/selectively-reducing-eval-awareness-and-murder-in-gemma-3
Personal AI should run on your personal devices. So, we built OpenJarvis: a personal AI that lives, learns, and works on-device. Try it today and top the OpenJarvis Leaderboard for a chance to win a Mac Mini! Collab w/ @Avanika15, John Hennessy, @HazyResearch, and @Azaliamirh.
https://x.com/JonSaadFalcon/status/2032152011542839733
🤖 From this week’s issue: Microsoft releases Phi-4-reasoning-vision-15B, a compact open-weight multimodal model that rivals much larger models on math, science, and computer-use tasks while requiring a fraction of the training compute.
https://x.com/dl_weekly/status/2031415180383437304
New research from Microsoft. Phi-4-reasoning-vision-15B is a 15-billion parameter multimodal reasoning model that combines visual understanding with structured reasoning capabilities. As I have been saying, not every agent task needs a frontier model. Phi-4-reasoning-vision
https://x.com/omarsar0/status/2029926242640912429
NEW: Microsoft releases Phi-4-reasoning-vision-15B, a 15B parameter multimodal reasoning model.
https://x.com/dair_ai/status/2029927938259308905
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