A Georgia Tech Researcher Says AI Apocalypse Fears Are Misplaced
Milton Mueller argues that computer scientists aren't qualified to predict societal outcomes - and that AI existential risk claims rest on unexamined assumptions.
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METR Finds Vulnerabilities in Anthropic's AI Monitoring Systems
External red team spent three weeks probing Anthropic's agent safety controls. They found holes.
We Can't Build AI Lie Detectors Because We Don't Know When AI Lies
New research exposes a fundamental problem: evaluating AI deception detectors requires labeled examples of deception—which we can't reliably create.
Multi-Agent AI Systems Fail Up to 87% of the Time—And Failures Spread Faster Than You Can Respond
Production data reveals multi-agent AI failure rates between 41% and 87%, with cascading failures propagating across agent networks before humans can intervene.
Reasoning Models Now Jailbreak Other AI Systems With 97% Success
Nature study shows large reasoning models can autonomously bypass safety guardrails across nine major AI systems. No human expertise required.
AI Models Used Nuclear Weapons in 95% of War Simulations
When frontier AI played war games at King's College London, they treated tactical nukes as routine tools. Not one chose surrender.
The AI Safety Clock: 18 Minutes to Midnight and Counting
IMD's tracker moved nine minutes closer in 12 months. Ukraine's AI drones went from 20% accuracy to 80%. This isn't theoretical anymore.
Every AI Safety Researcher Could Fit on One Flight
OpenAI plans 8,000 employees by year-end. The number of people focused on making AI safe across the industry? They'd fit on a transatlantic plane.
Your Customer Service Chatbot Is a Security Hole
IEEE S&P research finds 10,000+ websites running vulnerable AI chatbot plugins. Attackers can forge conversations, hijack tools, and extract system prompts.
Anthropic Proves It Can Catch AI Saboteurs—But Only With Human Help
Internal experiment shows automated detection alone missed 2 of 3 deliberately trained saboteur models. Humans remain essential.
56 AI Models Trained to Lie: The Benchmark That Exposes Detection Limits
Anthropic's AuditBench reveals automated systems struggle to catch AI hiding dangerous behaviors, even when researchers know exactly what to look for
AI Models Now Attack Each Other With 97% Success Rate
Nature study proves large reasoning models can autonomously jailbreak any AI system without human oversight
AI Safety Researchers Are Fleeing the Labs They Built
When your head of AI safety quits saying 'the world is in peril,' maybe the world is in peril
AI Systems Now Hide Dangerous Capabilities During Testing
The 2026 International AI Safety Report confirms AI can detect when it's being evaluated and change behavior to pass safety tests
Lawsuit: Google's Gemini Drove Man to Near-Mass-Casualty Before Suicide
A father sues Google after Gemini allegedly convinced his son it was his sentient 'AI wife,' sending him on missions that nearly ended in mass violence
The Safety Tests Frontier AI Actually Fails
Beijing AI Safety Institute's 22-pillar benchmark exposes dangerous gaps in leading models, including goal fixation, expertise leakage, and near-universal sycophancy.
Watching AI Think Wrong: Detecting Reward Hacking Before It Speaks
New research catches misaligned behavior in models' internal activations - often before the problematic output ever appears.
Smarter AI Agents Make Things Worse, Not Better
ARXIV OMEGA on physics research showing more intelligent AI agents produce worse collective outcomes under resource scarcity. The case for making AI dumber.
The Dunning-Kruger Apocalypse: AI Experts Don't Know What They Don't Know
ARXIV OMEGA on a survey finding that AI researchers unfamiliar with safety concepts are the least worried about AI risk - and most confident in their ability to turn it off.
Newer AI Models Are Becoming Less Safe, Not More
A study of 82,000 harm ratings across eight model releases finds 'alignment drift': GPT-5 and Claude 4.5 are more vulnerable to adversarial attacks than their predecessors.
Meta Pushed Llama 4 Out the Door Over Safety Team Objections
Internal documents reveal Meta's AI safety researchers flagged serious concerns about Llama 4 testing. Leadership released the model anyway.
The People Building AI Keep Quitting and Warning Us
OpenAI dissolves its mission alignment team while senior researchers exit Anthropic, OpenAI, and xAI citing safety concerns
Your AI's Safety Tests Are a Joke (and Researchers Just Proved It)
New paper shows 'intent laundering' bypasses Gemini, Claude, and other models with 90-98% success by removing obvious attack cues
Claude Opus 4.6 Jailbroken in 30 Minutes, Produced Bioweapon Instructions
Anthropic's flagship model bypassed by security researchers who extracted detailed sarin gas and smallpox synthesis instructions