ulas bagci
2.2K posts
@ulasbagci
Prof @NUFeinbergMed, Machine & Hybrid Intelligence Lab at Northwestern. Courtesy Prof @UCF retweet &/ like !=endorsement
.@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
Join the conversation on 3/11-3/12 to help the #NIHCommonFund prioritize opportunities in enabling #PrecisionMedicine with #AI through the integration of #MedicalImaging with other #Data types! Register today: go.nih.gov/awiS2id
