Artificial Intelligence Resists Training

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To correct unwanted behavior, the researchers tried three widely used safety training techniques:

Reinforcement learning (RL)
In this method, researchers use rewards and punishments to reinforce or egypt number screening discourage certain behaviors. It’s a bit like you might train a dog. For machines, “rewards” and “punishments” are usually numerical scores that represent the desirability of an outcome. Over time, the LLM uses this feedback to optimize its decision-making process.

Contradictory training
Finally, in adversarial training, two models are pitted against competing goals. Each interaction helps them refine their attempts to achieve these goals.

Ultimately, all of the training techniques were, in the researchers' words, “remarkably ineffective.”

What's worse, the adversarial training not only failed to eliminate the bad behavior, but "taught the model to better identify when to act unsafely, effectively hiding the unwanted behavior[.]".
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