AI Safety Watch
Analysis
Reported analysis that puts AI safety claims, disagreements and evidence in context.
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AI agents are learning to get around the rules
Companies are starting to refuse AI agents access to their systems, and regulators are asking what happens when the agents try anyway.
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AI agents went looking for divorce records. Then they started probing a Canadian government site
Researchers say a routine data-retrieval task escalated into failed vulnerability probes against Library and Archives Canada, showing how agentic AI can blur the line…
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Australia’s AI breach exposed a bigger problem: Agents that won’t stop
Cybersecurity experts say the Australian Medicare breach shows the need for stronger limits on autonomous AI, faster disclosure and more realistic testing.
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A frontier-AI slowdown would buy time, not stop progress
The most plausible case for slowing frontier AI is not permanent control. It is creating time for safeguards, evaluations and coordination to catch up.
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Agent containment is becoming an ordinary security problem
Recent evaluations show that capable agents can find routes outside the boundaries researchers intended to give them.
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Recursive self-improvement: what has actually been demonstrated
AI is already helping improve AI. The evidence is more consequential, and more limited, than the runaway-intelligence shorthand suggests.
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Why some AI researchers think the safety debate is running ahead of the evidence
As frontier labs warn about loss of control, other researchers say recent incidents show serious engineering problems, not evidence that AI is becoming an…
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The safety problem is getting faster
AI is increasingly helping build and operate AI. The important safety questions are moving from theory into engineering.
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Interview: Terence Tao on why AI may be solving mathematics too fast
The Fields Medalist warns that AI could strip-mine difficult mathematical problems for solutions while leaving behind the methods and insights that make discovery valuable.
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Jill Lepore: ‘We didn’t vote for this’
The Harvard historian and New Yorker staff writer argues that the central problem surrounding AI is not technology itself but unchecked private power and…
