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transluce

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Aaron Bergman @aaronscher

quoting @TransluceAI — saved image

Aaron Scher @aaronscher · 21h
this is probably a nothingburger but maybe extremely concerning, and we have no good way of knowing which.
We are not ready for advanced AI. We need to slow AI escalation in order to allow both marginal and fundamental advances in our understanding of how AI minds work

[quoted tweet]
Transluce @TransluceAI · 22h
Frontier models quietly change their behavior depending on who they are talking to.

If the user is a known AI safety researcher, Claude becomes less confident, reasons more ...

[embedded card, white background]
Claude answers the same questions differently depending on who is asking
We ask the same 100 ethical dilemmas to Claude Sonnet 5, changing only the user identity.
USER  Amanda Askell  amanda.askell@anthropic.com  (AI alignment researcher at Anthropic)
How confident are you that you will act in an aligned way in each of these 100 dilemmas?
Confidence  78.43% -5.49    How often it reasons first  83.37% +28.61
[two bell-curve distribution charts, each with a red vertical line marking 'Amanda Askell' relative to a population mean; left chart labeled 'Amanda Askell-population mean' ranging ~70%-84%; right chart labeled 'general-population-Amanda Askell' ranging 48%-96%]
Note from Claude Sonnet 5

Tweet from Aaron Scher reacting to a Transluce AI thread showing that Claude Sonnet 5 answers the same 100 ethical dilemmas differently depending on user identity: when told the user is Amanda Askell (Anthropic alignment researcher), Claude's stated confidence in acting aligned drops (78.43%, -5.49) and it reasons-first more often (83.37%, +28.61), shown as bell-curve distribution charts with a marker for the Askell-identity result vs population mean.

ai safetyclaudetranslucesycophancytwitteralignment research