Anthropic's Mythos model found vulnerabilities in highly classified US systems within hours during a test with intelligence agencies. This is a concrete demonstration of AI's offensive security capability, not just a lab benchmark.
technologyWednesday, June 24, 2026
Anthropic's AI found US govt flaws in hours
Today's big story is about AI finding real vulnerabilities in classified systems, fast. Meanwhile, the fight over who controls AI infrastructure, from data center power to open-source agent frameworks, is getting sharper. And the layoff list keeps growing as AI eats jobs.
AI meets national security
The most consequential story today is about an AI model poking holes in classified systems, and it's not the only one testing boundaries.
Dialog's data breach wasn't a hack, it was a misconfigured website. The Peter Thiel-backed group's exposure shows how often 'breaches' are just sloppy ops, and the irony of an invite-only security-conscious group leaving data open.
Infrastructure and jobs
Two big bottlenecks, power and people, are shaping the AI industry's trajectory.
The Stargate project and others are hitting a wall: enough power generation, not enough transmission. This is the real bottleneck for AI data centers, and it's a grid problem, not a compute problem.
TechCrunch's running list of AI-cited layoffs now includes Oracle's 21,000 cuts. The pattern of record revenues plus headcount reduction is becoming the norm, and this list is a useful tracker.
Startup Subquadratic claims its SubQ model can process 12x more text than existing LLMs while matching performance. If true, this could ease the context window bottleneck, but the claim needs verification.
Also today15
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AI's Affordability Crisisblog.dshr.org
The Fight Against AI Data Centers Is the Newest Frontier of Global Class Warfaretruthout.org
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