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@wavyphd Yes! I wrote a book on Pygmalion and language in machines and could keep writing. Stanislaw Len’s Golem XIV is a perfect example of what Talia said above (picture from Lem’s quasi-academic paper from the same collection)

Sifting through myth, scholars are endeavoring to retrieve the imaginative worlds of the earliest storytellers. newyorkermag.visitlink.me/zV6QMB

.@RichardSSutton, father of reinforcement learning, doesn’t think LLMs are bitter-lesson-pilled. My steel man of Richard’s position: we need some new architecture to enable continual (on-the-job) learning. And if we have continual learning, we don't need a special training phase - the agent just learns on-the-fly - like all humans, and indeed, like all animals. This new paradigm will render our current approach with LLMs obsolete. I did my best to represent the view that LLMs will function as the foundation on which this experiential learning can happen. Some sparks flew. 0:00:00 – Are LLMs a dead-end? 0:13:51 – Do humans do imitation learning? 0:23:57 – The Era of Experience 0:34:25 – Current architectures generalize poorly out of distribution 0:42:17 – Surprises in the AI field 0:47:28 – Will The Bitter Lesson still apply after AGI? 0:54:35 – Succession to AI

In Trump’s second term, the center of gravity has shifted from the seedier wing of the FIRE industries to the fashier wing of Silicon Valley, but the agenda remains much the same: tax cuts and deregulation. dissentmagazine.org/online_article…