i made Dumb Drum Revolution. smack everyday objects to create "music" built with: - roboflow RF-DETR for object detection - mediapipe hand tracking - web audio API and some drum samples runs in realtime in the browser for all your drumming needs

项目开源啦！ ▶ 完整项目： https://t.co/qJHuCC37YK ▶ Skill： https://t.co/7rAFmJa3N1 项目简介： 1. OpenClaw 龙虾的“像素办公室”：龙虾会根据状态自动走到不同位置（休息区 / 工作区 / bug 区） 2. 左下角添加他昨天的工作小记。 3. 支持邀请其他龙虾加入办公室（丰富功能开发中） 4.

Automate playtests while you build. With Assistant or the MCP Server in Studio, you can simulate inputs and run tests autonomously. Fix bugs and verify changes without breaking your flow. #RobloxDev https://t.co/dRBFKcYZl9

🚨 800 FREE CREDITS — 24 HOURS ONLY We just launched LTX-2.3, our most powerful video model yet. High-res. Fast. Cinematic. Native lip-sync. Follow + Retweet this post to get 800 credits sent to your DMs.

LTX-2.3 is a major upgrade. It’s a production-ready multimodal engine - designed to be built on. Here’s what’s new 🧵 1/7

What better way to explain the launch of our new Cinematic Video Overviews than… using… a Cinematic Video Overview? (video-ception 😵‍💫)

Spatial Intelligence just went Open Source. 🌐 Introducing InSpatio-WorldFM — the world’s first open-source real-time interactive 3D world model. Last October, @theworldlabs's RTFM showed the vision. Today, we’re bringing that idea into the open for everyone. ✅Efficient,

New course: Build and Train an LLM with JAX, built in partnership with @Google and taught by @chrisachard. JAX is the open-source library behind Google's Gemini, Veo, and other advanced models. This short course teaches you to build and train a 20-million parameter language

The Codex app is now live on Windows. The app runs both natively and in WSL, with integrated terminals for PowerShell, Command Prompt, Git Bash, or WSL. We also built the first Windows-native agent sandbox — using OS-level controls to block filesystem writes outside your

CodeWisp (@usecodewisp) lets anyone create and publish web games with prompts. No game engines or complex workflows. Just describe the game you want, generate a playable game in seconds, and share it instantly. Congrats on the launch, @itsfuelvin! https://t.co/XqzLVV9IFu

Introducing Wonder 3D, a new generative AI model in Flow Studio for fast and detailed 3D asset creation. 💬 Text to 3D — Watch your words take shape. Turn a simple prompt into fully textured 3D characters and props. 📸 Image to 3D — Add depth to your visuals. Transform

Introducing Cinematic Video Overviews, the next evolution of the NotebookLM Studio. Unlike standard templates, these are powered by a novel combination of our most advanced models to create bespoke, immersive videos from your sources. Rolling out now for Ultra users in English!

Asimov DIY Kit is now in pre-order 🧡 Introducing Here Be Dragons edition, a DIY kit to build a humanoid robot. Pre-order now: https://t.co/DMIO7Qaj76 A message from the Asimov team: Asimov DIY Kit is made for those who want to build a humanoid robot from scratch. The kit is

The all-new MacBook Pro with M5 Pro and M5 Max pushes the boundaries of what you can accomplish from anywhere. Run advanced large language models on device and unlock capabilities that can't be done on any other laptop—all while maintaining exceptional battery life!

OmniLottie Generating Vector Animations via Parameterized Lottie Tokens paper: https://t.co/cRXmK9UCTB

Gemini 3.1 Flash-Lite has landed. It’s our most cost-efficient Gemini 3 series model yet, built for intelligence at scale. Here’s what’s new 🧵

Production-grade trading engine. Rust-native. Open source. Deterministic event-driven core. Research-to-live parity.

Qwen3.5-9B is now available on LM Studio. Requires only ~7GB to run locally 🤯

YES! Someone reverse-engineered Apple's Neural Engine and trained a neural network on it. Apple never allowed this. ANE is inference-only. No public API, no docs. They cracked it open anyway. Why it matters: • M4 ANE = 6.6 TFLOPS/W vs 0.08 for an A100 (80× more efficient) •

🚀 Introducing the Qwen 3.5 Small Model Series Qwen3.5-0.8B · Qwen3.5-2B · Qwen3.5-4B · Qwen3.5-9B ✨ More intelligence, less compute. These small models are built on the same Qwen3.5 foundation — native multimodal, improved architecture, scaled RL: • 0.8B / 2B → tiny, fast,