#ai safety efforts seem pretty useless as long as we cant inspect and interpret what happens during inferenceIt may seem like an #llm recognizing it is being tested and responds differently, but how can we really know?The prompt would have to be different to distinguish between when it is or is not being tested. How do we know the output isn't simply the statistically most likely response to a prompt we intend to be a test?🔗 https://tonysull.co/notes/ai-safety-efforts-seem-pretty-useless
Related
Lucid’s bankruptcy rumor is a bad sign for the EV futureLucid Motors found itself in a tough bind this week, fending off...
Lucid’s bankruptcy rumor is a bad sign for the EV futureLucid Motors found itself in a tough bind this week, fending off bankruptcy rumors and watching its stock price plunge as a ...
Model GPT-Red łamie zabezpieczenia AI z 84-procentową skutecznością, deklasując ludzkich ekspertów. OpenAI wdraża automa...
Model GPT-Red łamie zabezpieczenia AI z 84-procentową skutecznością, deklasując ludzkich ekspertów. OpenAI wdraża automatyczne systemy obronne, by ratować stabilność swoich modeli ...
Wild! Today two different PRs came in to a FOSS project I follow. Both of them contain 5 "solutions" to things not prese...
Wild! Today two different PRs came in to a FOSS project I follow. Both of them contain 5 "solutions" to things not present in the original repo.As best I can make out both are auto...