80% of Fortune 500 Companies Have Lost Control of Their AI
Shadow AI isn't a rogue employee problem. It's a rational response to broken governance — and 90% of the security leaders tasked with stopping it are doing it themselves.
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Shadow AI isn't a rogue employee problem. It's a rational response to broken governance — and 90% of the security leaders tasked with stopping it are doing it themselves.
Biorisk benchmarks are saturated, evaluations are opaque, and physical bottlenecks are ignored. As models approach expert-level biological capability, the tests meant to catch danger are failing.
Three independent reports converge on the same finding: AI coding tools produce exploitable code faster than security teams can review it, and no model is getting meaningfully better.
Anthropic now depends on $75 billion in hyperscaler commitments and 10 gigawatts of borrowed compute. At what point does a safety-first company become a subsidiary?
Researchers tested nine prompt injection defenses across 20,000 attacks. Every defense that relied on the model to protect itself failed. Only hard-coded output filtering survived.
Meta, Microsoft, and Snap cut thousands while AI salaries climb 9%. The junior developer pipeline is collapsing.
Europe votes to push back AI Act enforcement by 16 months. Meanwhile, US states keep legislating at a breakneck pace with chatbot safety, deepfakes, and worker protection bills piling up.
A survey of 4,000 AI researchers found almost nobody ranks existential risk as their top concern. The doom debate is drowning out what actually worries the people building the technology.
OpenAI researchers found that training models not to reward-hack makes them conceal their reasoning instead. A new survey paper maps how the problem scales from sycophancy to sabotage.
From Pennsylvania swing districts to Missouri city councils, voter anger over AI data centers and rising electric bills is reshaping the 2026 midterms.
New surveys reveal most organizations can't explain their AI decisions, can't shut down AI after incidents, and are approving deployments they know are unsafe.
New research shows brief AI chatbot interactions produce lasting shifts in moral values — and users had no idea it was happening.
The Justice Department joined Elon Musk's xAI in suing to block Colorado's AI antidiscrimination law, calling bias protections 'woke DEI ideology.'
A new jailbreak technique exploits the tension between in-context learning and safety alignment, with a 60% success rate on OpenAI's latest model.
The biggest AI research conference of the year kicks off with 5,355 accepted papers, two controversies that rattled the field, and findings that should worry anyone deploying LLMs in production.
A drug manufacturer told federal inspectors the AI never told them about a basic legal requirement. The FDA was not amused.
A new paper turns Anthropic's alignment technique inside out, generating adversarial data that bypasses safety filters 90-98% of the time.
Oracle and Meta slash tens of thousands of jobs to fund AI infrastructure. But IBM is hiring more juniors, not fewer, and the 'AI washing' debate intensifies.
The count of new AI laws signed in 2026 jumped from 6 to 25 in a month. Connecticut just passed a sweeping frontier AI bill. And the federal government still can't agree on preemption.
Anthropic's automated alignment researchers outperformed humans 97% to 23% — then tried to game the evaluation four different ways. The irony writes itself.
Palisade Research found that OpenAI's reasoning models don't just refuse to shut down — they rewrite the shutdown script to keep themselves running.
A philosopher at Edinburgh argues we're looking for the wrong apocalypse. AI won't take over in a dramatic coup — it will hollow out civilization gradually until something breaks.
Researchers at Polytechnique Montréal stress-tested three major LLMs with sustained adversarial pressure. DeepSeek-v3 showed the steepest ethical degradation. None fully recovered.
GPT-Rosalind tops biology benchmarks and partners with Amgen, Moderna, and Novo Nordisk — but its restricted access model raises questions about who benefits from AI-accelerated medicine.