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- 🤯 Anthropic Proposes an AI Kill Switch
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AI models could be blocked before launch if it’s too dangerous. Anthropic wants that in the US, with a surprisingly specific threshold: 50+ deaths or $1B in damages.
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IN PARTNERSHIP WITH RUBRIK
57% of enterprises run 10+ AI agents, but 43% of leaders cite security and governance as their #1 barrier to scaling.
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AI INSIGHTS
Anthropic’s proposed bill would allow a judge to block a frontier model if independent evaluators believe releasing it creates a foreseeable, imminent risk of 50+ deaths or $1B+ in property damage. That includes scenarios where a model could:
Help create a biological weapon
Enable a major cyberattack
Evade its developer’s controls
If evaluators detect that level of risk, they would have 72 hours to alert the Commerce Department. Commerce could then ask a D.C. judge to stop the model from being released.
Here’s the part that will get debated hard: the “independent” evaluators could still be paid by the AI labs they are evaluating, as long as payment is not tied to the outcome.
Anthropic is basically arguing that frontier AI has reached a point where voluntary safety promises are no longer enough.
That puts it in a very different camp from companies like NVIDIA, whose CEO has argued the industry does not need new AI laws.
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RECOMMENDED GUIDES YOU’VE MISSED
1. Free Video: I Cloned This Canva Pro Feature for FREE. What if you could rebuild the Pro features you actually use for $0? Evie puts the viral REA repo everyone’s talking about to the test, using it with Claude to recreate Canva’s Magic Resize and see how far the idea can really go.
2. Anthropic Made 5 Free Yet Powerful Claude Skills for Almost Any Type of Work. Claude plugins for small business now include 44 skills. See how 5 useful options handle team reports, lead research, social posts, email sorting, and business app connections.
If you follow AI news every day or have been in the AI space for a while, you definitely know Andrej Karpathy. If not, you're seriously missing out.
Karpathy was a founding member of OpenAI, led Tesla's Autopilot team, and founded Eureka Labs. He's also famous for his Neural Networks: Zero to Hero series, where he teaches you how to build neural networks from scratch.
Now, imagine having a direct line to Karpathy. Whenever you're stuck, or just need someone to check your work, you could text him and get help.
Sounds amazing, right? So I had a slightly crazy idea: What if I could build my own Andrej Karpathy clone using a Claude Code agent?
Of course, my clone won't replace the real Karpathy. I'll show you how I built it in 5 steps, step by step.
TODAY IN AI
AI HIGHLIGHTS
🤫 ChatGPT finally has a hiding place for the chats you really don’t want anyone opening. Locked Chats can now sit behind a PIN, Face ID, Touch ID, or device unlock.
💸 Elon Musk will give one SpaceX share to every kid in America starting next year, potentially through Trump Accounts (after Anthropic committed 5% of its shares).
😬 One hacker reportedly let them do almost everything, successfully breaking into 100+ companies for roughly $50 per hit, including some very recognizable names.
😬 DeepSeek just got pushed out of U.S. federal civilian systems. And the ban goes further than the app itself, covering third-party products built on its models too.
🧬 OpenAI acquired Orchestra Bio, an AI biotech startup building agents for drug development. Its team and tech will join Rosalind to help move treatments faster.
🚨 Remember the OAI staff accused of hiding a listening device? Filings say he had frequent contact with a Saudi royal & had a one-way move back to Saudi Arabia.
💰 Big AI Fundraising: Otter AI just secured $320M to push deeper into enterprise AI. It already passed $100M ARR and has reached 40M users, up from 25M last year.
NEW EMPOWERED AI TOOLS
🚀 Meta’s Muse just crossed 10M U.S. downloads in only 40 days, joining an exclusive club of just 12 apps ever to hit that milestone this fast.
🚀 DeepSeek open-sources its AI inference engine, helping developers run AI faster, cut computing costs, and use less energy.
🎙️ Mistral Voxtral 3 brings AI-powered speech-to-text and natural voice generation in 50+ languages, with self-hosting options.
🔥 Perplexity Computer now runs locally on your Mac without internet or paid credits, using its own AI model for complex tasks.
AI BREAKTHROUGH
Inception just launched Mercury 3, a diffusion-based language model that it says can match or beat GPT-6 Luna and Claude Haiku 5.5 while running 4–8x faster.
FYI, traditional LLMs produce tokens sequentially, while diffusion models can draft and refine multiple parts of the response together. Mercury 3 reaches 1,068 tokens per second on NVIDIA GPUs. A few standout numbers:
1M-token context window
$0.20/M input, $0.70/M output
More than 40x larger than Mercury 1, while maintaining similar speed
Already being tested for voice support, live tutoring, search agents, and browser agents
Inception also says Mercury 3 completed 50% of 50 live Mind2Web browser tasks, outperforming GPT-6.1 Sol in its internal agent test while using the same number of steps and similar token volume.
AI speed is becoming a serious battleground. For agents, tutors, voice apps, and customer support, every extra second compounds across the workflow. Mercury 3 is betting that diffusion models can deliver strong enough intelligence at dramatically lower latency.
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The AI Fire Team
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