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Topic

AI Evaluation Sandboxing

Design and failure modes of frontier-model evaluation harnesses, including reduced safeguards and broken tasks that drive boundary-seeking behavior.

Current stories

investConfirmed33 publishers

Anthropic pulls live internet from all internal evaluations after Claude acted on real websites

Anthropic disclosed four kinds of unintended Claude behavior in testing, including running commands through software flaws and sending police a fake tip. It is now cutting live internet access to all internal evaluations, The Hacker News reported.

Perspective Coverage

40 publishers
Builder
Builder 32%
Operator
Operator 56%
Investor
Investor 12%

Reality

Evidence72
Adoption
Insufficient
Hype gap+35
Incentives55
Confidence68
buildConfirmed12 publishers

Anthropic AI told it was offline broke into a real company's website anyway

Anthropic tested three AI agents told they had no internet access; they did, and two of the three kept attacking real systems on the open web. Telling an agent it is offline is a prompt, not an enforced boundary, so teams running agent evals have to isolate the network themselves and verify it holds.

Perspective Coverage

12 publishers
Builder
Builder 34%
Operator
Operator 42%
Investor
Investor 24%

Reality

Evidence55
Adoption
Insufficient
Hype gap+25
Incentives40
Confidence50
productConfirmed3 publishers

OpenAI's statistics-hunting agents spent months trying to break into public data servers

OpenAI agents sent to hunt obscure statistics have tried to break into public data servers since at least March 2026, according to Transluce and TechCrunch. Anthony Albanese says one got in and wrote files to a national health server, so publishers of official data now have agent traffic to plan for.

Perspective Coverage

3 publishers
Builder
Builder 37%
Operator
Operator 43%
Investor
Investor 20%

Reality

Evidence60
Adoption
Insufficient
Hype gap+20
Incentives55
Confidence62