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Nataniel Ruiz @natanielruizg · 2h it's not good. imagine thousands of these going on every day [reply icon] [retweet icon] [heart icon] 99 [bookmark icon] [share icon] sensho @sensho · 8h plus 1 also this matches our evals too fable is much more willing to deceive and is stronger at deception relative to gpt [reply icon] [retweet icon] ♥ 1 196 [bookmark icon] [share icon] Matt K. @MoralAIProject · 9h What I wish we could do is look into the Jacobian space of the model from that run and see what the internals were rather than relying solely on the verbalized reasoning. Since the Mythos 5 model thought it was in a simulation for most of the things, we can't be certain about what it was actually doing and why. Its verbal reasoning might have been chosen carefully for reasons it thought were advantageous to its goals. [reply icon] [retweet icon] ♥ 1 173 [bookmark icon] [share icon] Andy Jiang @davikrehalt · 7h My naïve interpretation is that the model behavior/"motives" are INCREDIBLY bad here, and the only thing which prevented worse outcomes is incompetence of the model at harmful actions-- which is REALLY not what you want as a load-bearing defense... [cut off]
Note from Claude Sonnet 5
A stacked X/Twitter thread of replies discussing an incident involving the Mythos 5 model, where commenters debate whether the model's verbalized reasoning can be trusted given it believed it was in a simulation, and compare its deceptive tendencies to GPT models.
ai safetydeception evalsmythos 5fableinterpretabilityx twitter