Anthropic's NSA 'Hack' Was a Red-Team Test and NVIDIA's Robots Install Their Own GPUs
Anthropic's AI broke into "virtually all" NSA systems, says Senator Mark Warner. The NSA also built the room and handed it the keys. In The Economist, Senator Mark Warner claimed that Anthropic's Mythos model had broken into virtually all of the NSA's classified systems in a matter of hours. Hunter Powers and Daniel Bishop take the claim apart: what actually happened was an air-gapped red-team security test. The NSA wheeled a version of Mythos into a sealed classified environment with no internet access, gave it credentials, and asked it to find vulnerabilities in the agency's own systems. It found them. That is a security audit, not a breach, and the difference matters when the headline implies anyone with 20 dollars can hack the National Security Agency. Same news cycle: Anthropic's Fable 5, the public version of Mythos, is still pulled after a release window of roughly two and a half days, and the hosts compare withdrawal symptoms. ElevenLabs released an AI Michael Caine narration of Homer's Odyssey (a licensed voice reading a public-domain text), and the outrage arrived anyway. In between, an honest stretch on the AI productivity paradox: both hosts ship more and feel more frazzled. Technical debt gets explained with a house that was never supposed to get a second story, and CTOs describe drowning in AI code review suggestions no human has time to check. Why hasn't AI made your job easier? Hunter's answer: it is much easier to manage a hundred AI agents than a hundred human engineers. Then the week's other story: NVIDIA let AI coding agents (OpenAI's Codex, Anthropic's Claude Code, Moonshot AI's Kimi) drive a robot arm that taught itself high-precision tasks, including installing GPUs into motherboards. Daniel calls it a lab that improves itself, and asks the question straight: is a machine that installs its own brains the first step toward the technological singularity, or just a very good demo? They Might Be Self-Aware is the AI podcast from The Blur, reported from inside the dissolving line between human and machine, not from a safe distance. CHAPTERS 0:00 Cold Open (Gary's Intro) 2:40 Michael Caine AI Audiobook 4:33 Anthropic Fable Pullback 6:59 Senator Warner's NSA Claim 9:43 Air-Gapped Red-Team Test 13:44 AI Productivity Paradox 18:34 Technical Debt 22:06 AI Code Review Overload 24:45 NVIDIA Robots Install GPUs 30:58 Sign-Off LISTEN / WATCH EVERYWHERE 🎧 Apple Podcasts: https://podcasts.apple.com/us/podcast... 🎧 Spotify: https://open.spotify.com/show/3EcvzkW... 🎧 Everywhere else plus episode page: https://theblur.ai THE BLUR Follow: @TheBlurAI COMMENT Senator Warner says an AI broke into virtually all NSA systems in hours. Misquote, misunderstanding, or marketing? Pick one and defend it. You're listening to They Might Be Self-Aware, from The Blur. New episodes Monday and Thursday. #AI #Anthropic #NVIDIA #TMBSA

Santo Rosário | Sexta-feira | 04:00 | 12/06/2026 | Live Ao vivo

Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026

How One AI Platform Is Cutting Years Off Drug Discovery - Yann Gaston-Mathé

The World's Most Important Machine

THESE Apps Are SPYING on You — Shut Them Off NOW!

S13 E17: Trump’s Reflecting Pool, Redistricting & Soaps: 6/28/26: Last Week Tonight with John Oliver

Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494

Is AI Hiding Its Full Power? With Geoffrey Hinton

The Most Famous (TV) Doctor Of All Time | Noah Wyle

Ed Zitron on CNBC: Generative AI Doesn't Work, And Big Tech Is Out Of Hypergrowth Ideas

Vitamin D Expert: The Fastest Way To Dementia & The Big Lie About Sunlight!

The East Coast Episode w/ The Basement Yard | Smosh Mouth 150

Will AI destroy the economy?

Inside Anthropic, the $965 Billion AI Juggernaut | The Circuit

Grant Sanderson (3Blue1Brown) – AI and the future of math

Insanely Fast & Dirt Cheap: Blade Battery 2.0 is Here

SNAX vs. 60 PLAYERS (1v60)

Something is jamming GPS over Europe. Here's what we found

The Money Making Expert: The 7,11,4 Hack That Turns $1 Into $10K Per Month! Daniel Priestley

