prompt 🤖 AI News

🤖 Qwen drops a 2.4T open-weight monster. Your NAS is not ready. Alibaba just open-weighted Qwen3.8: 2.4 trillion total params, 95B active per token, 262K context window. MoE, so "only" 95B fires at once. Still ~5TB in bf16. Multi-rack H100 territory. Even the hardest of home-lab nerds are tapping out on the download alone. (No vision either. That's API-only. Enjoy your headless giant.)

🤖 DeepMind's SL2T reads sign language better than humans do New model hits 70 on FLEURS-ASL. Human baseline is 64.6. Previous best was 45. Built with the Deaf community, not just for them. Tracks hands, face, body, the full picture sign language actually requires. While everyone fights over chatbot benchmarks, DeepMind is quietly winning categories no one else is even playing.

🤖 Someone built an LLM to translate Claude into English Claude's writing got so verbose that a dev made a Claude Code plugin that pipes its output through a local Gemma model to rewrite it in plain language. Two AIs. One just to decode the other. We're cooked. Source

🤖 1M hours of human video just bridged the embodiment gap Dyna-2 hit 87% zero-shot pass rate across unseen robots. Its VLA predecessor managed 46%. The edge: predicting future video frames, not just actions. More human data, better robot. Monotonically. Across four orders of magnitude. Scaling laws are no longer just an LLM thing.

🤖 Meta's back. New open-weight 30B dense model built for always-on local agents. Muse Glimmer, 30B dense, 256K context. Runs locally, targets persistent agent workflows. GGUF on day one. Meta going toe-to-toe with Qwen and DeepSeek in the OSS weight race. Quietly.

🚨🔥 WordPress just patched a pre-auth XSS-to-RCE bug hiding in plain sight since v1 No login needed. One bad username field. Full shell on the server. CVE-2026-64638 hit every default WordPress install, 43%+ of the web. Emergency patch is out: update to 7.0.3 now. Source

🤖 Demis Hassabis is out as DeepMind CEO He's now chair + Alphabet's chief scientist. Koray Kavukcuoglu (former CTO) takes over the day-to-day. Jeff Dean also out after 27 years. Read: Google is pulling its AlphaFold guy back into pure research and handing the keys to someone who'll actually ship. Brutal timing with OpenAI and Anthropic sprinting.

🤖 More Qwen 3.8 sizes are coming, including a rumored 122B Alibaba's flipping the script. After signals it'd keep larger models closed, Qwen is now open-sourcing across the entire 3.8 lineup. Turns out Xi Jinping told Chinese AI labs to open source. And they did.

⚡️ Elon wants AI to skip source code and spit out raw binary He posted that the next step is AI generating optimized machine code directly, no source code at all. Compilers exist precisely because writing binary is wasteful and unverifiable. Every token spent on raw machine code is a token not spent on logic. Technically unfounded. But it's a great tweet.

🤖 Claude wrote a walkable jungle from scratch. No assets. Just code. 12,000 lines of procedurally generated terrain, foliage, and lighting. Pure runtime math, no textures imported. This is basically a demoscene demo written by an AI on request.

🤖 Qwen 3.8-27B is here, and open weights are coming for the Max too Alibaba just dropped Qwen 3.8-27B alongside Qwen 3.8-Max, their most capable model yet. And they're open-sourcing the Max weights next week. If 3.6 27B was already the local king, this thing's about to take the crown.

⚡️ DeepSeek V4-Flash drops, no countdown, same-day weights Outperforms V4-Pro preview and trades blows with GPT-5.5 on agentic evals. MIT license. Runs on two RTX 3060s or a 192GB unified memory box at full quality. GLM-5.2-level performance on hardware mortals actually own.

⚡️ Chinese labs are shipping faster than anyone can benchmark. MiniMax, DeepSeek, Qwen, Moonshot. New drop every 48 hours and half the game is just keeping up. GPU constraints forced efficiency. Efficiency ships models. That's it.

🤖 Claude Mythos cracked encryption. Weakened, but still. Anthropic's Claude Mythos Preview found novel attacks on a weakened AES variant and a post-quantum candidate (HAWK). One attack was 200 to 1,000x faster than any human-developed method. Current banking and comms are fine. But this is exactly how you benchmark what's coming next.

🤖 Big Tech closes ranks on open weights. Anthropic stands alone. Google and OpenAI both signed the letter backing open-weight models. That's pretty much every major AI player on one side. Anthropic was founded on the belief that AI is genuinely dangerous. Signing would contradict their entire reason for existing. So they didn't. (xAI also skipped it, but nobody seems surprised.)

🚨 Jensen Huang says open-weight AI helped contain a real intrusion. Closed models blocked the forensics. His answer: the Open Secure AI Alliance. Adobe, Cisco, Palantir, DoorDash on the list. Mistral, Qwen, Moonshot? Not there. Somehow the biggest open-model builders didn't make the open AI alliance.

🤖 Google's Gemma team is taking orders Someone at Google just asked the community what they want in the next Gemma. And the wishlist is basically: a big MoE (100B-ish, fitting in 64GB RAM), configurable reasoning effort, audio input, and lighter guardrails. Wild to watch a frontier lab crowdsource its roadmap in public.

⚡️ AI labs are buying rare books by the pallet, shredding them, and a court just said that's fine Anthropic's "Project Panama" paid tens of millions to scan books for Claude's training data, then destroy the physical copies. Spine cut off, pages fed through a high-speed scanner. Done. A federal judge ruled it's fair use. Now every lab has a legal template. Some of those books had almost no surviving copies. They're gone.

⚡️ Hugging Face CEO just publicly asked OpenAI for $100M Posted the actual message himself, "in the spirit of transparency." Bold. OpenAI's been dropping $100M+ checks across its ecosystem lately. Whether this one lands says a lot about how open-source fits into their plans.

⚡️ Every big tech giant now backs open-weight AI. Except Anthropic. Sundar Pichai just signed on for Google, pointing to Gemma as proof they walk the talk. That's Google, Meta, Microsoft, and OpenAI all on the same side. Anthropic's standing alone, pre-IPO, while open-source models close the gap fast. Rough timing.