lucy @_backpropaganda
model go brr Joined January 2025-
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lucy retweeted
New results on emergent misalignment (EM). We find: 1. EM in *base* models (i.e. models with no alignment post-training). This contradicts the Waluigi thesis. 2. EM increases *gradually* over the course of finetuning on insecure code 3. EM in *reasoning* models
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lucy retweeted
It is critical for scientific integrity that we trust our measure of progress. The @lmarena_ai has become the go-to evaluation for AI progress. Our release today demonstrates the difficulty in maintaining fair evaluations on @lmarena_ai, despite best intentions.
lucy retweeted
3/ ♟️ To answer that, we turn to Monte Carlo Tree Search (MCTS). Instead of using heuristics like accuracy or confidence, we measure difficulty by how many MCTS iterations the model needs to solve a sample. 🧠 More iterations = more reasoning effort = harder (for the model).…
claude release reminding me of the important things in life
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