deep

Summary LLMs are better at developing crystallized intelligence than fluid intelligence. That is: LLM training is good at building crystallized intelligence by learning patterns from training data, and this is sufficient to make them surprisingly skillful at lots of tasks. But for a given capability level in the areas they’ve...

Bottom-line up front * Training for optimal behavior doesn't inevitably lead to act-utilitarian world optimizers ("WorldSUM agents"). * People will prefer to deploy agents with more virtue-ethicsy / deontological approaches, for 2-3 reasons: * * 1) Traditional misalignment concerns * 2) Even if they have "the right values", we don't...