Patrick Lawson

Introducing OpenAgents Workspace. One workspace where all your AI agents work together, shared chat, shared files, shared browsers. Connect OpenClaw, Claude Code, Codex and more. Watch them collaborate, and work while you sleep. Open source on GitHub. Please give us a star: github.com/openagents-org… #OpenSource #AIAgents #MultiAgent

🚨 BREAKING: Someone just built a self-hosted AI app that processes all your receipts and invoices automatically. You upload a photo. It extracts the product, taxes, dates, and auto-converts the currency, and keeps your financial data 100% private. 100% Open Source.

"OpenAI was created as an open source non-profit company to serve as a counterweight to Google, but now it has become a closed source, maximum-profit company"

🚨 BREAKING: CHINA just released a Python framework for building AI agents. 100% OPEN SOURCE. It has visual agent design, MCP tools, memory, RAG, and reasoning. All built in. All working together. It's called AgentScope. You describe your agent system. It builds the architecture, wires the tools, and runs the whole thing. You come back and there's a working multi-agent pipeline. Not a prototype. Not a demo. The actual system. Not a wrapper. Not a chatbot builder. A full Agent-Oriented Programming framework that thinks in agents from the ground up. Here's what it does out of the box: → Visual agent builder so you design your entire system before writing a single line of code → Native MCP tool support, plug any external tool directly into any agent in your pipeline → Built-in memory so every agent remembers context, decisions, and history across sessions → RAG pipeline ready to connect your own documents, databases, and knowledge bases → Reasoning modules that let agents plan, reflect, and self-correct without human input → Multi-agent coordination so your agents collaborate as a system, not a pile of isolated API calls Here's how it thinks: You define your goal. AgentScope maps the agent roles. Each agent gets its tools, its memory, its reasoning layer. They coordinate. Results flow back up. You get a finished output. A single complex task might route through a planner agent, a researcher agent, a coder agent, and a critic agent, each doing its job, then converge into one clean deliverable. Here's the wildest part: AgentScope is built by Alibaba DAMO Academy. The same lab behind Qwen. They didn't assemble this from existing pieces. They designed the entire framework from first principles around how agents actually need to think, remember, and work together. Most frameworks give you building blocks. AgentScope gives you an architecture. The community has already started plugging it into data pipelines, research workflows, and full automation systems the team never planned for. 100% Open Source. Apache 2.0 License.

🚨‼️ BREAKING: Anthropic has decided to open source their entire codebase and is rebranding their AI to OpenClaude. Anthropic CEO Dario Amodei said: "Yesterday was no slip-up. If we disappear just like OpenAI is vanishing right now, our code can live on through the community."

Different voices. Same answer: open models. NVIDIA Founder and CEO Jensen Huang sat down with the leaders from @mistralai, @bfl_ml, @cursor_ai, @LangChain, @perplexity_ai, @reflection_ai, @thinkymachines, @allen_ai, @evidenceopen, and AMP PBC to discuss the rapid rise of open frontier models. Get the top takeaways from the frontier of AI: nvda.ws/4uR6eEV

🚨 THE biggest AI leak of the year happened yesterday. Claude Code’s proprietary source leaked via npm. In under 24 hours, the open-source community reverse-engineered it, stripped the vendor lock-in… …and released `OpenClaude` 💥 They literally turned the leaked Claude Code CLI into a universal powerhouse. → Internal multi-step reasoning and sub-agent loops remain completely intact → Plug in GPT-4o, DeepSeek, Gemini, Llama, or Mistral Best part? All of Claude Code’s tools work too: ↳ Execute bash ↳ Read/write/edit files ↳ Run grep/glob ↳ Deploy MCP agents using whatever model you choose Free and 100% open source. Repo link in 🧵↓

Anthropic just accidentally leaked the most dangerous AI model ever built. They literally left 3,000 internal documents sitting in a publicly searchable database. No encryption. No access controls. Just... open. A security researcher found them before Anthropic even knew they were exposed. Inside those documents was a draft blog post describing a model called "Claude Mythos." Anthropic's own internal language: Mythos is "currently far ahead of any other AI model in cyber capabilities" and will trigger "a wave of models that can exploit vulnerabilities in ways that far outpace the efforts of defenders." That's the company that BUILT it warning about their own creation. Mythos sits in a brand new model tier called "Capybara." Bigger and more powerful than anything they've ever released. Dramatically higher scores in coding, reasoning, and cybersecurity compared to their current best. The market reaction was immediate: CrowdStrike dropped 7%. Palo Alto Networks fell 6%. Zscaler down 5%. Okta, SentinelOne, Fortinet all crashed. The Global X Cybersecurity ETF hit its lowest level since November 2023. Billions in market cap evaporated in a single trading session because of a draft blog post that wasn't supposed to be public yet. But here's where it gets truly absurd... Anthropic is the company that brands itself as the "responsible AI" lab. The one that refused to let the Pentagon use Claude without restrictions. The one that got BLACKLISTED by the Trump administration for being too cautious. They literally sued the government over it. A federal judge called the Pentagon's ban "Orwellian." So the US government punished Anthropic for being too careful with AI safety. Then 3 weeks later, Anthropic accidentally exposes their most dangerous model because someone misconfigured a content management system. They can't secure a WordPress-level database setting. But they're building AI that can autonomously hunt and exploit zero-day vulnerabilities at machine speed. Also in those leaked files: Details about a private, invite-only CEO retreat at an 18th-century English countryside manor. Dario Amodei attending personally. Designed to sell Mythos to Europe's biggest corporate buyers. The playbook: Build the most dangerous cyber weapon in AI history, host billionaires at a castle to sell it, and store the whole plan in an unprotected public folder. The entire cybersecurity industry is built on cataloging known threats. Mythos finds unknown ones faster than humans can respond. That's an extinction event for an entire sector. But there was also just ANOTHER leak: A leaked Coatue investor deck revealed Anthropic will LOSE $14 billion this year on $18 billion in revenue. Coatue still projected them to be worth $2 TRILLION by 2030. They put $30 billion behind that bet. Polymarket opened live betting on when Mythos drops. Traders give it a 45% chance by June 30th. OpenAI finished pretraining their own frontier model codenamed "Spud" the same week. Both companies are now racing to release before their IPOs later this year. And the one detail that's really scary: Chinese state hackers already used Claude Code, the WEAKER model before Mythos, to autonomously infiltrate 30 organizations including banks and government agencies. That was the less powerful model. Mythos is dramatically more capable. Anthropic's response to leaking 3,000 confidential documents? "Human error in the configuration of our content management system." The company warning the world about AI risk just demonstrated exactly why everyone should be worried. Not because of what AI might do someday. Because the people building it can't even keep their own files locked.

Cinema Studio 3.0 is LIVE 🚀🎥 This isn’t just an upgrade — it’s the future of filmmaking. Native audio, cinematic reasoning, ultimate realism… Higgsfield brings it all together. Creators now have a studio in their pocket. The revolution starts here. 🌍✨

Devs rewrote the leaked Claude Code in Python and Rust within 48 hours. Before Anthropic could even finish the legal paperwork. Now it works with any AI model you want.

Not just another AI release—this feels like the beginning of something bigger. An OS that reasons, adapts, and evolves with you? Human + Agent could genuinely be the next step forward. 👀

You want to make a video like this? Seedance 2: Endless queues. No real people allowed. 👤🚫 Meanwhile, I dropped the reference clip into Buzzy, added a character, and let the agents run it. Same structure. Same timing. Same style. I’ve already posted the video while you’re still waiting to generate.

AI has surpassed the world’s best competitive coders. GrandCode took the top spot in three straight Codeforces rounds. Humans weren’t second—they came after AI. The trajectory just changed.

@AiwithShoaib @LumaLabsAI Amazing

Luma’s UNI-1 model is seriously next level for personalized character creation. Just check out the lighting and depth of field on this chibi version of me — it’s insane 🤯 @LumaLabsAI #AI #LumaAI

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