Thank you for a clear and concise write-up of your takes. I do agree with most of them, and especially with take #5 and #11.
With that being said, are there any proposed mechanisms for preventing/detecting alignment faking in LLMs (not necessarily from Anthropic/Redwood, but in general)? Are there any mitigation proposals?
Thank you for a clear and concise write-up of your takes. I do agree with most of them, and especially with take #5 and #11.
With that being said, are there any proposed mechanisms for preventing/detecting alignment faking in LLMs (not necessarily from Anthropic/Redwood, but in general)? Are there any mitigation proposals?