Chazyl Arfi

Kame is a compact, open-source, 3D-printable quadruped robot that mimics animal-like movement.

𝗞-𝗺𝗲𝗮𝗻𝘀 𝗶𝘀 𝘀𝗶𝗺𝗽𝗹𝗲. 𝗠𝗮𝗸𝗶𝗻𝗴 𝗶𝘁 𝗳𝗮𝘀𝘁 𝗼𝗻 𝗚𝗣𝗨𝘀 𝗶𝘀𝗻’𝘁. That’s why we built Flash-KMeans — an IO-aware implementation of exact k-means that rethinks the algorithm around modern GPU bottlenecks. By attacking the memory bottlenecks directly, Flash-KMeans achieves 30x speedup over cuML and 200x speedup over FAISS — with the same exact algorithm, just engineered for today’s hardware. At the million-scale, Flash-KMeans can complete a k-means iteration in milliseconds. A classic algorithm — redesigned for modern GPUs. Paper: arxiv.org/abs/2603.09229 Code: github.com/svg-project/fl…

Alibaba just open-sourced OpenSandbox ( a general-purpose execution environment ) to give AI agents an isolated environment to run code safely. 8k+ Github stars ⭐️ This stops your AI Agent based applications from accessing your actual host infrastructure. By removing the hardest security roadblock, this release will massively accelerate how fast developers can build autonomous Agent based tools. OpenSandbox puts the agent inside isolated runtimes like gVisor or Firecracker. You can run it locally using Docker or scale it up using Kubernetes. The system includes a code interpreter and a file system that the agent uses to complete tasks. It also manages network traffic so you control exactly what the agent accesses online. I think this will become the standard infrastructure for autonomous systems because building custom sandboxes is too dangerous for most teams.

LuxTTS clones any voice from 3 seconds of audio on a 4GB GPU. - 150x realtime speed - 48khz output vs industry standard 24khz - Fits in 1GB VRAM - Works on CPU too No ElevenLabs subscription. No cloud. Just open source. The voice cloning barrier just hit zero. link: github.com/ysharma3501/Lu…

Maximising Local Inference Performance on Commodity RDNA2 Hardware linkedin.com/pulse/maximisi… via @LinkedIn

🚨BREAKING: Someone just open-sourced a headless browser that runs 11x faster than Chrome and uses 9x less memory. It's called Lightpanda and it's built from scratch specifically for AI agents, scraping, and automation. Not a Chromium fork. Not a hack. A completely new browser written in Zig. Here's why this changes everything for AI builders: ↓

🎙️Run Voxtral Realtime locally with ExecuTorch! 💻Thanks to the ExecuTorch team, you can now deploy and run Voxtral Realtime efficiently and fully offline on your MacBook.

You can now fine-tune Qwen3.5 with our free notebook! 🔥 You just need 5GB VRAM to train Qwen3.5-2B LoRA locally! Unsloth trains Qwen3.5 1.5x faster with 50% less VRAM. GitHub: github.com/unslothai/unsl… Guide: unsloth.ai/docs/models/qw… Qwen3.5-4B Colab: colab.research.google.com/github/unsloth…

🚨 Someone built a full Perplexity clone that runs 100% locally for $0. It's called Perplexica. → Searches the web in real-time → Cites every source it uses → Works with Ollama local models → Multiple search modes (general, academic, YouTube, Reddit, writing) → Zero API costs. Zero data collection. Perplexity charges $20/month for this. This runs on your machine for free. 29K stars. MIT license. (Link in the comments)

We just turned WiFi signals into a radar that can see through walls and estimate exact poses of people. Surveillance just got order of magnitude more easy todo. No need for cameras. Git hub repo close to 12k ⭐️ github.com/ruvnet/wifi-de… x.com/BoWang87/statu…

I cant believe this guy just made a permanent solution to context bloat and open sourced it all! when we tested this tool (Context+) for solving an issue on the OpenCode repository, the agent using this tool used ~6.5k fewer tokens, found the code and fixed it in half the time! the results were surprising: 6 to 10k tokens saved per prompt, completed task in ~2 minutes while the agent running without the tool took ~4 mins for the same and got stuck in loops bro built an entire beast by using all the modern tools that we could think of: undo trees, semantic search by meaning (by haskellforall), advanced refactoring, blast radius, advanced file context trees, restore points... i can keep going on semantic code search and context trees are the future of agentic coding and this tool proves it the feature i loved the most is semantic search and how it gets things done 2x faster with least possible tokens it makes an agent that actually knows what it’s doing and not just guessing, it makes meaning from your code similar to RAG. if you aren't optimizing your context, you are just burning money the developer says this tool is still under development, it can have unexpected behavior and the docs need updates but the video shows the reality of how fast it can be github: github.com/ForLoopCodes/c… get here: contextplus.vercel.app

🚨 BREAKING: Alibaba just handed the AI agent community a production-grade sandbox for free. OpenSandbox is a full-stack platform for running untrusted agent code safely: → Unified APIs across multi-language SDKs → Docker and Kubernetes runtimes purpose-built for agents → Browser automation, VS Code desktop, and network isolation included → Designed for coding agents, GUI agents, evaluation, and beyond Not a side project. Built by Alibaba. Open source. 1.5k stars (+1,100 this week). The secure agent infra you didn't have to build yourself.

People giving OpenClaw root access to their entire life

🛠️🌐 WORLD MONITOR Un nouvel outil vraiment impressionnant pour du gratuit/open-source : Une salle de crise géopolitique en temps réel, maintenant accessible à TOUT LE MONDE !! Avant, ce niveau d’info stratégique (comme un Bloomberg Terminal à 25000$/an !) était réservé aux gouvernements, banques et ultra-riches. Aujourd’hui World Monitor offre cela gratuitement, open-source et 100% légal ! (tout repose uniquement sur des données publiques ouvertes) Sur une carte du monde en 3D ultra-fluide, tu vois en direct : 👁️ Zones de conflits actifs avec scoring d’escalade 👁️ +220 bases militaires 👁️ Avions militaires en vol 👁️ Navires de guerre, y compris les dark ships qui disparaissent des radars ! 👁️ Installations nucléaires mondiales 👁️ Câbles internet sous-marins, pipelines pétrole, clusters de data centers IA 👁️ Manifestations, sanctions, coupures d’internet, incendies détectés par satellite 👁️ Marchés de prédiction (Polymarket) comme signaux d’alerte précoce L’IA intégrée analyse +150 sources news en continu, donne un Indice d’Instabilité (0-100) par pays et t’alerte quand plusieurs signaux convergent ! Avantages : gratuit, légal, puissant, fonctionne entièrement en local avec Ollama (zéro donnée envoyée), version desktop native, alertes ultra-intelligentes et améliorations très régulières grâce à la communauté active. Inconvénients : dépend de sources publiques (quelques retards ou lacunes possibles sur des événements très locaux) Près de 10 000 étoiles sur GitHub en quelques jours seulement ! Le projet s’améliore chaque jour 💪 #OpenSource

llmfit. Useful tool that probes hardware and tells you exactly which LLMs will actually run. - handles MoE expert offloading, picks the best quantization for your RAM, estimates tokens/sec before you even pull the weights. Essential for local dev. github.com/AlexsJones/llm…

🚨BREAKING: The "Ollama for design-to-code" just dropped. It's called Pencil and it converts Figma designs into production code entirely on your machine. No Figma export hell. No manual syncing. No design-dev handoff nightmare. It's powered by Claude Code, running parallel design agents locally. → Draw your UI in an infinite canvas → Get production-ready code instantly → Works with VSCode and Cursor → AI agents understand your existing codebase All running locally. Zero cloud dependency. But it's not just a design tool. It's a full design-to-development pipeline: → Infinite canvas with real-time AI code generation → Parallel agents that work on multiple components simultaneously → Direct integration with your local dev environment → No subscription model or usage limits 100% free. No strings attached. Works with Claude Code, VSCode, and Cursor right now. This is the moment design-to-code leaves Figma's walled garden and runs on your desktop. Link in the first comment.

La VSA mène à des usages détournés ou voulus comme par exemple surveiller les actions des employés et des clients en temps réel... En 2024, la société, NeuroSpot, affirmait pouvoir : 👉🏾 surveiller le trafic des clients, 👉🏾 analyser le comportement des visiteurs, 👉🏾 évaluer les performances du personnel et les niveaux de satisfaction 👉🏾 ... Donc je le répète, le fait que l'assemblée nationale cette semaine ait dit oui, est une folie ! Ne venons pas nous plaindre ensuite... On empiète petit à petit sur nos libertés numériques individuelles... Bienvenue en 1984. cc @Mr_AllenT

I've spent 2.54 BILLION tokens perfecting OpenClaw. The use cases I discovered have changed the way I live and work. ...and now I'm sharing them with the world. Here are 21 use cases I use daily: 0:00 Intro 0:50 What is OpenClaw? 1:35 MD Files 2:14 Memory System 3:55 CRM System 7:19 Fathom Pipeline 9:18 Meeting to Action Items 10:46 Knowledge Base System 13:51 X Ingestion Pipeline 14:31 Business Advisory Council 16:13 Security Council 18:21 Social Media Tracking 19:18 Video Idea Pipeline 21:40 Daily Briefing Flow 22:23 Three Councils 22:57 Automation Schedule 24:15 Security Layers 26:09 Databases and Backups 28:00 Video/Image Gen 29:14 Self Updates 29:56 Usage & Cost Tracking 30:15 Prompt Engineering 31:15 Developer Infrastructure 32:06 Food Journal

Someone built a web-based System Design Simulator, where you drag & drop architecture components and actually simulate traffic, failures, latency, and scaling in real time, System design just got way more interactive.

Claude Code watching me write code manually