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this is fascinating, they train an encoder/decoder but use LLM matching the target model's shape for each part, so the latent space is just plain language and they can detect reward hacking, unwanted behavior and morecould even see it being used as an eval to quantify how smart a model is, i love this
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this is fascinating, they train an encoder/decoder but use LLM matching the target model's shape for each part, so the latent space is just plain language and they can detect reward hacking, unwanted behavior and morecould even see it being used as an eval to quantify how smart a model is, i love this
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