SOMEONE OPEN-SOURCED VIDEO EDITING FOR AI AGENTS. Drop raw footage → chat with Claude Code → get pro-level final. mp4. No more CapCut. No more Premiere. No more timelines. The repo is video-use from the browser-use team, and it's blowing up because it finally makes video editing conversational. It handles filler cuts, color grading, subtitles, audio fades, and even generates custom animations on the fly all while the agent self-evaluates and fixes its own work. Key features driving the hype: → Works for every video type without any presets → Text-based pipeline keeps it fast and lightweight → Built-in memory so edits get better over time → Parallel sub-agents for advanced overlays → One-command style setup with Claude Code or any MCP agent If you create content, this changes everything. 3.9k stars and climbing fast. Python. Fresh updates as of today. This is how AI takes over the next boring task. 100% Open Source.

This is my last public swap. Here's my wallet: as.near Open it. Everything I've ever done is right there. Every token I hold, every swap, every address I've ever sent to. My entire financial history, sitting in the open for anyone to read.

Not the flashiest demos, but what’s under the hood represents a foundational shift for general-purpose robotics. World models are the next-gen foundation of Physical AI, not the VLM backbones found in typical VLAs. DreamZero is a 14B-parameter World Action Model (WAM) by NVIDIA that treats robotics as a joint video-and-action prediction task. Unlike traditional Vision-Language-Action (VLA) models that map images directly to motor commands, DreamZero leverages a pretrained video diffusion backbone to predict future world states and actions simultaneously. - achieves 2× better zero-shot generalization to unseen tasks and environments compared to state-of-the-art VLAs. - learns effectively from heterogeneous, non-repetitive data (500 hours), breaking the need for thousands of repeated demonstrations. - adapts to new robot embodiments with just 30 minutes of play data. - enables 7Hz closed-loop control via system optimizations and "DreamZero-Flash," making high-capacity diffusion models viable for real-time use.

GR00T is moving away from VLM-based backbones in favor of integrated world models. Jensen Huang teased GR00T N2 during his keynote; NVIDIA's next-gen foundation model built on DreamZero research. Utilizing a new world-action model architecture, it succeeds at novel tasks in unfamiliar environments over 2x more often than leading VLAs. Currently ranked #1 on MolmoSpaces and RoboArena, GR00T N2 is slated for release by year-end.

🚨 AITV STUDIO EARLY ACCESS IS OPEN🎉 got an AI streamer idea? pitch it below. best ideas get early access codes to build it. we're looking for: ⚡️ unique personalities (like @MrFreeman0) ⚡️strong narratives (like @NimpetAI of @PublicAI_) ⚡️community potential (like @sprotogremlins) you could be next 👇