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1/ Welcome to the Circle $USDC files. $420M+ in alleged compliance failures since 2022, including fifteen cases of the US-regulated stablecoin issuer taking minimal action against illicit funds.

Today, we’re launching Gemma 4, our most intelligent open models to date. Built with the same breakthrough technology as Gemini 3, Gemma 4 brings advanced reasoning to your personal hardware and devices. Here’s what Gemma 4 unlocks for developers: — Intelligence-per-parameter: Our 31B (Dense) and 26B (MoE) models deliver state-of-the-art performance for their size, outcompeting models 20x their size on @arena — Commercial flexibility: Released under a permissive Apache 2.0 license for complete developer flexibility and digital sovereignty — Agentic workflows: Native support for function-calling and structured JSON output allows you to build reliable, autonomous agents — Multimodal edge AI: The E2B and E4B models bring native vision, audio, and low latency to mobile and IoT devices — Long-context reasoning: Up to 256K context windows allow you to process entire repositories or large documents in a single prompt Whether you're building global applications in 140+ languages or local-first AI code assistants, Gemma 4 is built to be your foundation. Explore in @GoogleAIStudio or download the weights on @HuggingFace, @Kaggle, and @Ollama.

Today we're releasing Trinity-Large-Thinking. Available now on the Arcee API, with open weights on Hugging Face under Apache 2.0. We built it for developers and enterprises that want models they can inspect, post-train, host, distill, and own.

Building hardware has never been easier. Most people still don't know where to start blueprint.am

We just released Gemma 4 — our most intelligent open models to date. Built from the same world-class research as Gemini 3, Gemma 4 brings breakthrough intelligence directly to your own hardware for advanced reasoning and agentic workflows. Released under a commercially permissive Apache 2.0 license so anyone can build powerful AI tools. 🧵↓

Gemma 4 E4B was able to search and cite 10+ websites, execute code to find the best answer! 🔥 You only need 6GB RAM to try this in Unsloth Studio. GitHub repo: github.com/unslothai/unsl…

mlx-vlm v0.4.3 is here 🚀 Day-0 support: 🔥 Gemma 4 (vision, audio, MoE) by @GoogleDeepMind 🦅 Falcon-OCR + Falcon Perception by @TIIuae 🪨 Granite Vision 4.0 by @IBMResearch New models: 🎯 SAM 3.1 with Object Multiplex by @facebook 🔍 RF-DETR detection & segmentation by @roboflow Infra: ⚡ TurboQuant (KV cache compression) 🖥️ CUDA support for vision models (Sam and RF-DETR) Get started today: > uv pip install -U mlx-vlm Leave us a star ⭐️ github.com/Blaizzy/mlx-vlm

Introducing Atlas 1. Willow's new frontier speech-to-text model. It outperforms ElevenLabs, Deepgram, OpenAI, and more by a wide margin. Built on the first scalable, human-powered transcription infrastructure ever built for real-time dictation.

Holo3 is here 🚀. Today, we're launching Holo3: our new series of frontier computer-use models. 78.9% on OSWorld-Verified. That puts us ahead of GPT-5.4 and Opus 4.6, at one-tenth of the cost. Weights on Hugging Face. API is live. Test it now! #Holo3 #OpenSource #ComputerUse #OSWorld #AI #AgenticAI

If you have a Thunderbolt or USB4 eGPU and a Mac, today is the day you've been waiting for! Apple finally approved our driver for both AMD and NVIDIA. It's so easy to install now a Qwen could do it, then it can run that Qwen...

@__tinygrad__ Does Gigabyte AMD rx480 8gb with Mac mini m1 works? Or need new Gpu’s? I have 10 8gb Gpu’s.

i’m working on geo rf-detr this time i fine-tuned rf-detr on neontreeevaluation dataset; it gives you insight into forest health, tree counts, and land changes without manual field surveys what other aerial / drone use cases should i try next?

Hippo fluid scene pushed to 100M particles made with HydroFX. Foam, bubbles, and spray all simmed together in one system for a cohesive result, fully GPU accelerated. Meshed + extra sand interaction in Houdini, final lookdev/render in Blender. Get HydroFX storm-vfx.com

Introducing GLM-5V-Turbo: Vision Coding Model - Native Multimodal Coding: Natively understands multimodal inputs including images, videos, design drafts, and document layouts. - Balanced Visual and Programming Capabilities: Achieves leading performance across core benchmarks for multimodal coding, tool use, and GUI Agents. - Deep Adaptation for Claude Code and Claw Scenarios: Works in deep synergy with Agents like Claude Code and OpenClaw. Try it now: chat.z.ai API: docs.z.ai/guides/vlm/glm… Coding Plan trial applications: docs.google.com/forms/d/e/1FAI…

Here comes AutoClaw. We offer a new solution to run OpenClaw locally on your own machine. - Download and start immediately. No API key required. - Bring any model you like, or use GLM-5-Turbo, optimized for tool calling and multi-step tasks. - Fully local. Your data never leaves your machine. We're giving data control back to Claw users. Meet AutoClaw → autoglm.z.ai/autoclaw/ Join the conversation → discord.gg/jvrbCRSF3x

My dear front-end developers (and anyone who’s interested in the future of interfaces): I have crawled through depths of hell to bring you, for the foreseeable years, one of the more important foundational pieces of UI engineering (if not in implementation then certainly at least in concept): Fast, accurate and comprehensive userland text measurement algorithm in pure TypeScript, usable for laying out entire web pages without CSS, bypassing DOM measurements and reflow

Sam 3 by @facebook now on MLX 🚀 Here is a realtime object tracking running on M3 Max 96GB.

Introducing HeroUI v3 🔥 A complete rewrite for React. A brand-new library for React Native. 🌐 Web → 75+ components, 21 new 📱 Native → 37+ components, built from scratch 🎨 Styling → Tailwind CSS v4, CSS variables, OKLCH, BEM ⚡ Performance → CSS animations, no JS runtime ♿ Accessibility → React Aria Components 🧩 Architecture → Compound components, headless-ready 🤖 AI → MCP Server, Agent Skills, LLMs.txt 📎 Figma Kit v3 with 1:1 component parity One design system. Beautiful everywhere.

Set alerts in your gaps. Wait for these sequences. If it's not SMT with the gap, it's SMT via swing point. These Cracks in Correlation confirm the lower time frame redistribution; model within a model.

Qwen3.5-4B searched 20+ websites, cited its sources, and found the best answer! 🔥 Try this locally with just 4GB RAM via Unsloth Studio. The 4B model did this by executing tool calls + web search directly during its thinking trace.