Member-only story
An example of what the AI community is lacking and how can you learn from it?
A positive discovery but a startling negative that this had not been looked into so far
Long story short — “engineers at the company DeepMind built a machine-learning system based on research on how babies’ brain works, and it did better on certain tasks than its conventional counterparts”.
While this is a good positive it is bemusing to me that such outside-the-box thinking was absent from the community thus far. Am I being too skeptic? I don’t think so. We have had a lot of examples where multidisciplinary and lateral thinking yield far greater results and we haven’t adapted as much as we should.
Here is a piece of the transcript from the podcast for more context:
Christopher Intagliata: Artificial intelligence systems have bested humans at chess, poker, Jeopardy, Go, and countless other games. But machines still aren’t that great at understanding some basic rules about the physical world.
Susan Hespos: They still can’t do what 3-month-olds do. And I’m a champion for babies at the end of the day and this is a clear win for babies. Babies are still slam dunking our most powerful computers when it comes to intuitive physics.
Intagliata: Cognitive psychologist Susan Hespos of Northwestern…
