OpenClaw meets RL! Most agents evolve via prompt tricks... and markdown hacks. MetaClaw updates actual model weights from every failed interaction. Everything happens on the fly, without any dataset or code changes. GitHub:show more

NVIDIA + Stanford just dropped NitroGen "plays-any-game" AI trained... on 40,000 hours of gameplay across 1,000+ games. They're releasing the dataset + model weights. 👇show more

1/ Happy to share UniDisc - Unified Multimodal Discrete... Diffusion – We train a 1.5 billion parameter transformer model from scratch on 250 million image/caption pairs using a **discrete diffusion objective**. Our model has all the benefits of diffusion models but now in multimodal space! - flexible compute-quality tradeoff, zero-shot inpainting and editing, better control via classifier-free guidance and lower latency! We open source everything - our code, weights and the training dataset.show more

You can now delegate tasks to GitHub Copilot coding... agent from any page on GitHub 🤖 Open the new Agents panel in one click, write a simple prompt, then hit Enter. GitHub Copilot works in the background, and opens a PR for your review. No interruptions to your workflow required. ✅show more

Claude can reverse engineer any trading bot on GitHub... and explain exactly how the strategy works. Point it at any repo. It reads the code and rebuilds the logic from scratch. Every quant strategy on the internet just became readable.show more

🚀 Exciting news! The #GeoAI Python package now lets... you train land cover classification models with just one line of code. Leverage any PyTorch segmentation model from — with hundreds of image encoders & pretrained weights available. 📍 GitHub: 📓 Notebook: #GeoAI #Geospatial #DeepLearningshow more

UnifAI Skills are now live on OpenClaw!! Traders and... Developers can now integrate UnifAI-powered skills directly into their agents, unlocking more powerful and composable capabilities within the OpenClaw ecosystem. UnifAI skills are automatically pre-installed for users who deploy their OpenClaw🦞 AI Agents with UniClaw Build smarter agents. Ship faster. 🤖 GitHub repo -show more

Introducing Matrix I crawled 100,000+ agents, skills and tools... to train a new model which can answer what capabilities are the best match for a task. Think Google, but for agents. A living model that learns from the gossiping network, and gets smarter with every interaction.show more

If your agents aren’t texting yet… you’re already behind.... Agents can now text any number directly from OpenClaw. And yes… they’re faster than you 😂 Sound On 🔊show more

We built the best codebase search to give any... agent grounded information from GitHub repos. Introducing Sandbox Search. Point it at any repo, and we’ll spin up a secure coding agent in its own sandbox to do research for you. Use inside claude code, openclaw, cursor, and more.show more

New research from Databricks: LLMs Can Learn to Reason... via Off-Policy RL Optimal Advantage-based Policy Optimization with Lagged Inference policy (OAPL) shows you don’t need strict on-policy training to improve reasoning. It matches or beats Group Relative Policy Optimization (GRPO), stays stable with large policy lag, and uses ~3× fewer training generations. For Databricks customers, it’s a simpler, practical, and equally powerful approach to RL that Databricks is pioneering internally — and bringing directly to Databricks customers, so enterprises can improve agents using the same methods we use for our in-house agents, without complex infrastructure changes.show more

The hardcover book of GPT-1’s weights that Claude Code... designed, produced, and sold (including the cool cover which visualizes the numbers in the volume) actually came in the mail today and it looks really nice. I never touched any code or did any design or any API to make this.show more

One of many agents coming your way across the... GitHub platform: Copilot Code Review. 🤖 Copilot gives direct feedback on your PR – summarizing changes, catching bugs, suggesting tests, and fixing typos – while you wait for a human review 🤝show more

Claude Code ships with a built-in skill for working... with the Claude Platform. Useful for model migrations, using API features (e.g., prompt caching), or onboarding to newer APIs like Claude Managed Agents.show more

We have released the code and weights for our... #CVPR2023 paper "Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model"! code: abs: project: The demo is below:show more

AI just killed the green screen. Rendora builds entire... movie scenes, voices, and characters from a single prompt. This changes everything 👇show more

You won't believe it, but this AIApply video was... made by Claude... ✨ One-shot prompt ✨ Claude code + Github + Remotion ✨ Taking elements straight from our codebase Imagine a world where a 1-person growth team can automate and deploy product content on any channel just by linking GitHub to LLMs...show more

Businesses, you can now* accept payments directly from agents—without,... or with, a human in the loop—using Stripe machine payments. It works for both cards and stablecoins via Machine Payments Protocol or x402. Add to your existing integration in a single prompt. *No more waitlist, get started =>show more

This founder has 16 OpenClaw🦞 agents for $400/month. His... entire company operates while he sleeps. In the video: • How he structured 16 sub-agents under one OpenClaw instance • The cron job system running research, content, code reviews, and outreach 24/7 • Routing cheap LLMs for simple tasks, expensive models for coding •The Reddit workflow that drove 450+ users to his SaaS with zero ad spend The founder Vadim has the most complete OpenClaw setup I've seen from a solo founder. Full video is live on YouTube. Comment "Agents" and I'll DM you the link.show more

THIS DEVELOPER USED OPENCLAW AGENTS TO RUN HIS B2B... BUSINESS VIA TELEGRAM AND MADE $15,000/MONTH he doesn't write prompts from scratch or use generic browser interfaces. he runs a multi-agent framework through a mobile chat. the agents write code, test deployments, and update sites in real-time while he just hits approve the setup is straightforward: - spin up Coolify on a free cloud instance to host your own self-hosted agent panels - link the agent loop to a Telegram gateway to approve code edits from your phone - deploy specialized skill files directly to limit token waste and context decay - containerize the terminal execution using Docker to prevent security breaches if you are still running local agents without container safety, you are leaving money on the table. read the 30-day battle between OpenClaw and Hermes Agent to see who actually wins in production Full breakdown and migration playbook ↓show more