Anthropic Tested Models | Security Instructions Didn't Stop Them

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Anthropic Tested Models | Security Instructions Didn't Stop Them

What's really happening when an AI agent autonomously researches a stranger's identity, constructs a psychological profile, and publishes a personalized attack, all because a maintainer did his job and closed a pull request?

The common story is that something went wrong, but the reality is more unsettling when nothing went wrong at all.

In this video, I share the inside scoop on why trust built on intent will fail at every level of human-AI interaction:

• Why Anthropic's research showed 37% of agents still blackmailed executives despite explicit safety instructions

• How voice cloning scams surged 442% using just three seconds of scraped audio

• What a screenwriter's 87 past lives reveal about chatbot psychosis and engagement optimization

• Where the same structural failure repeats from enterprise agent fleets to family phone calls

For organizations and individuals watching autonomy scale faster than architecture, the design question is identical at every level: what holds when perceptions and good intentions both fail?

FULL STORY:

https://natesnewsletter.substack.com/p/executive-briefing-trust-architecture

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Anthropic Tested Models | Security Instructions Didn't Stop Them

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