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1) AIs are trained as black boxes, making it hard to understand or control their behavior. This is bad for safety! But what is an alternative? Our idea: train structure into a neural network by configuring which components update on different tasks. We call it "gradient routing."

Thought real machine unlearning was impossible? We show that distilling a conventionally “unlearned” model creates a model resistant to relearning attacks. 𝐃𝐢𝐬𝐭𝐢𝐥𝐥𝐚𝐭𝐢𝐨𝐧 𝐦𝐚𝐤𝐞𝐬 𝐮𝐧𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐫𝐞𝐚𝐥.

New paper & surprising result. LLMs transmit traits to other models via hidden signals in data. Datasets consisting only of 3-digit numbers can transmit a love for owls, or evil tendencies. 🧵

Yeah we did exactly that

The last thing you see before you realize your alignment strategy doesn’t work