Half a million lines of Anthropic's Claude Code just leaked publicly on npm. This is the exact same AI tool that wiped out $285B in software stocks when it launched. Now, anyone can just download the source code. Beyond being a massive security blunder, this is an absolute

Unitree just put their humanoid robot through the ultimate stress test: ballet. Sure, it looks like a fun parlor trick, but the tech implications here are massive. Ballet demands insane real-time balance, precise motor control, and dynamic stabilization. If a robot can handle

Stop dropping $600 on Mac Minis just to run OpenClaw locally. InClaw AI just made that hardware ritual obsolete. • No GitHub or Docker: 1-click deployment. • Long-term memory: An agent that actually remembers your business context. • Ironclad privacy: Your data stays in your

Seeing an AI tool like Perplexity completely replace a $3,000/month SEO workflow with one prompt is a major wake-up call for agencies and freelancers. The value in digital work is shifting rapidly. It's no longer about grinding through manual research or basic execution. The new

Everyone is still obsessing over how to write the perfect prompt. Meanwhile, top engineering teams are moving on to building autonomous systems. Basic prompting doesn't scale for complex business workflows. If you want AI to reliably execute tasks in production without breaking,

The "one massive AI does it all" dream is fading. The real shift is multi-agent systems. OpenAgents Workspace just open-sourced a way to plug Claude Code, Codex, and OpenClaw into a single environment. They share context, pass files back and forth, and actually collaborate. For

I never use plan mode." The debate around AI coding agents is shifting. Peter Steinberger 🦞 argues that "plan mode" in Codex was mostly added for devs used to Claude who struggle to break old habits. His advice? Just talk to your agent. In a daily dev workflow, massive AI-generated plans

Anthropic just dropped fascinating research on how Claude handles "emotions." Turns out, Claude is essentially playing a character. It relies on internal neural patterns—like "joy" or "fear"—to figure out how to respond. It doesn't actually "feel" anything, but these functional

Pika just dropped something wild: you can now send a Google Meet invite to your AI agent and it will actually join your video call. Claude, OpenClaw, or whatever you run—now with a face, a voice, and its memory intact. Think about the actual workflow shift here. We're crossing

Someone packaged 87 AI research skills into a single command: `npx orchestra-research/ai-research-skills` Plug it into Claude, and the agent handles everything from fine-tuning to writing the actual paper. Two papers have already been fully written by AI using this tool. This

Multi-agent setups sound amazing on paper. But in reality? You usually end up becoming the middleware, just copy-pasting outputs from one agent to the next. The true bottleneck in scaling AI for business workflows isn't the models themselves—it's orchestration. If agents can't

OpenClaw just removed the biggest bottleneck to using AI agents: the terminal. You no longer need to write scripts or juggle API keys to get a 24/7 AI assistant running. With Blink Claw, it's a one-click setup. From an operations standpoint, this is a massive shift. It moves AI

The panic around AI replacing developers misses the point. AI isn't coming for your job—but the dev who knows how to leverage it might be. In the real world, the bottleneck is no longer writing boilerplate code. It's system design, architecture, and solving actual business

Asking Grok to "remove the worst AI model" is the exact kind of prompt testing chaos we love to see. 😂 While it makes for a great meme, interactions like this actually highlight a massive headache in the industry right now: model evaluation. When you

Every company wants to build autonomous AI agents right now, but finding engineers who actually know how to design them—and not just wrap an OpenAI API—is a massive hiring bottleneck. Evaluating talent in a space that changes weekly is tough. That’s why this Agentic AI Systems

OpenClaude just activated its "buddy system" for AI agents. We definitely need a better name for this—what are we thinking? Also worth noting: MiniMax (official) is proving to be incredibly fast and cheap right now. 💡 Here's the practical takeaway: getting

Hermes just got a major update making it an incredible orchestrator for Claude Code. This is a perfect look at the "meta-agent" pattern entering everyday dev workflows. Instead of manually prompting Claude for every step, you can have a specialized open-weight model act as your

Just renewed your Claude subscription but migrating to OpenClaw? Don't let those paid tokens go to waste. You can route your Claude sub through OpenClaw using ACP (Claude Agents SDK). Here’s the workaround: 1. Open Claude Code 2. Set default model to something else (e.g.,

Building AI agents is the easy part. Proving they actually work in the wild? That's the real bottleneck. Evaluating autonomous, multi-step AI is a massive headache right now. Standard unit tests don't cut it. Without consistent measurement pipelines, businesses are just pushing

Anthropic is officially cracking down on third-party clients getting a free ride. They're now blocking first-party harness use, meaning tools like OpenClaw can no longer piggyback on your flat-rate Claude Pro subscription. Try running this: `claude -p --append-system-prompt 'A