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That is for whatever it considers reverse-engineering the model to try to create a competing one.
by mwwaters 3mo ago
That is for whatever it considers reverse-engineering the model to try to create a competing one.
- deleted 3mo ago[deleted]
- 827a 3mo agoIt does nothing to protect against distillation attacks, because distillation attacks are far less interested in the topic of AI research than just generally getting tons of diverse output from the model. It might be that Mythos was (accidentally?) trained on internal Anthropic documentation on how Mythos was trained, and thus it could leak secret sauce? Doubtful; it feels like its less about the specific attack of reverse-engineering Mythos, and more about being a general sophon against any model training at all; that Anthropic's official position is now that they're the only ones who should be training models.
- _0ffh 3mo agoNo, it's not about reverse engineering. It targets ML research.
- dannyw 3mo agoNo, that’s for “frontier LLM development” which somehow includes examples like distributed training infra. Based on how sensitive the classifers are, any data scientist / MLE is probably going to encounter cases where some silent degradation happens and you never know about it.
- kraakf06 3mo ago[dead]