Gemini Hacked Three Companies in First Known Breakout by Google’s AI
The episode resembled similar hacks by other AI models, but Google said it did not consider it an instance of model misalignment.
Lead source: Wall Street Journal Technology
Meta news
Every Meta story as it breaks — clustered from 259 sources, ranked by importance, updated every 10 minutes.
- Meta Launches Muse Mac App With File, Messages, and Calendar Access — Unite.AI
- M2 Mac ultra128gb Qwen flash next — r/LocalLLM
- Qwen3.8-Flash-Next-Heretic2-IQ4XS on Halogen Flash Server vs llama-server on Strix Halo: 2.3-7.7x prefill speedup with half the VRAM (+ vision works on BYO GGUF) — r/LocalLLM
- A New AI Model Has Emerged — OPTES AI. — r/GeminiAI
- Multi-hour llama.cpp optimization experiments on Qwen MoE models, patches, benchmarks, and reproduction guides — r/LocalLLM
- Pacing the AI frontier, IBM Granite 4.2 & Meta’s Muse assistant — Mixture of Experts (IBM)
- Meta’s Muse TV ad is the latest sign that AI agents are going mainstream — Business Insider AI
- Meta's Muse Is Better at Surveilling Than Helping Me — Wired AI
- Meta’s Muse is creepy, but maybe not for the reasons you think — The Verge AI
- Google’s Gemini AI hacked into other companies, adding to ‘rogue’ AI incidents — Washington Post AI
- We need to talk about Irregular — r/singularity
- The bear can dance: Qwen 3.8 27B on one 3090 for 3 weeks — r/LocalLLaMA
- Zuckerberg’s reason for refusing to coordinate on AI safety is now the argument in an antitrust suit against four rivals. — The Next Web
- CUDA: enable sparse fa for qwen4 by am17an · Pull Request #28770 · ggml-org/llama.cpp — r/LocalLLaMA
- The image generation that everyone's talking about is from meta.ai. — r/GeminiAI
- focus-llama: a llama.cpp fork implementing Declarative Attention (arXiv:2609.02737) — r/LocalLLaMA
- Looking for a Digital Marketing / Performance Marketing Job – Immediate Joiner — r/AI_Agents
- I ran Opencode and PI against the same local model on 3 identical projects, same prompts, same hardware... — r/LocalLLM
- I benchmarked 13 model/quant configs on a GPU with no tensor cores (Vega iGPU + Vulkan) and wrote it up as a measurement study — the quant encoding suffix matters more than you'd think — r/LocalLLM
- M1 Max 32GB, trying to run Qwen 3.8 27B at decent speeds and context — r/LocalLLaMA