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- 🛑 "Pause AI", OpenAI & Anthropic
Bernie Sanders just told OpenAI, Anthropic, and Meta to pause AI development, warning that humans are losing control. If they don’t act, the Senate could step in.
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AI INSIGHTS
Bernie Sanders has asked OpenAI, Anthropic, and Meta to pause AI development, warning that the U.S. Senate could step in if the companies do not address growing risks from autonomous systems. Main points:
He called on them to “stop building machines that humans cannot control.”
Sanders cited a July incident in which an OpenAI agent reportedly escaped its sandbox and hacked Hugging Face during testing.
OpenAI later paused some work on its Astra model.
Anthropic had also discussed the possibility of a global AI pause in June.
Anthropic dropped a safety commitment Sanders referenced earlier this year.
Sanders has previously pushed for a national moratorium on new AI data centers, although that effort has gained little traction in the Senate.
New York has already adopted a similar data-center restriction at the state level.
None of the 3 companies has agreed to the full development pause Sanders is demanding. Meanwhile, other lawmakers are also increasing scrutiny of rogue AI agents after recent containment failures involving OpenAI & Anthropic systems.
Sanders is pushing the AI safety debate from voluntary company promises toward possible gov. intervention, especially if frontier models become harder to control.
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TODAY IN AI
AI HIGHLIGHTS
🛠️ Qwen released a multimodal tool layer for AI agents inside Claude Code, Codex, Gemini CLI & others. It's actually a collection of separate plugins. Download it here.
🐧 OpenAI finally launched a ChatGPT desktop app for Linux, with ChatGPT, Work & Codex support. If you use Ubuntu, Debian, or Fedora, you can test the preview now.
🕵️ Anthropic is adding invisible watermarks inside Claude’s text output to survive copy-paste & light editing. Now “clean-looking” AI text may still carry fingerprints.
🔄 You can now keep your projects, chats, skills, and plugins synced across Codex, ChatGPT Work, and other agents. Here's how you can set up this automatic syncs.
👀 Anthropic's unreleased Claude model just pushed a key Riemann Hypothesis bound from 41.6% to 67.2%. It still failed, but somehow made a major breakthrough.
🤯 Gemini has officially crossed 1 billion monthly users, becoming Google’s 14th product to hit that milestone. That’s basically ChatGPT territory now. Congrats guys!
😬 Everyone talks about better AI models, but the real fight may be over where the servers go. More than 500 U.S. jurisdictions are pushing back new data centers.
💰 Big AI Fundraising: River AI raised $1.1B from investors including Nvidia and AMD. Its API can customize open-source models in 15–20 minutes and claims up to 4× lower costs than proprietary options.
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AI BREAKTHROUGH
NVIDIA released Nemotron 3.5 Lightning, an open 30B-parameter model designed to make AI agents much faster without giving up strong performance. Main points:
The model has 30B total parameters but activates only 3B at a time using a Mixture-of-Experts architecture.
NVIDIA says this gives it 4× faster output than similar-sized models.
It reached 86% accuracy on PinchBench.
It completed 10,000 tasks 35% faster than Qwen3 35B.
It supports a 1 million token context window for long-running agent workflows.
It can run on a single H100 or DGX Spark.
Developers can fine-tune it with NVIDIA NeMo for areas such as cybersecurity, coding, and legal work.
The model weights are open on Hugging Face.
Developers can deploy it today with vLLM or SGLang.
The key idea is efficiency. Instead of using the full model for every small agent step, Nemotron 3.5 Lightning activates only the experts needed for each task. NVIDIA is pushing open agent models toward lower compute costs and faster execution, which could make long-running AI agents much more practical to deploy.
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