Patrick Winston Explains Deep Learning
Patrick Winston is one of the greatest teachers at M.I.T., and for 27 years was Director of the Artificial Intelligence Laboratory (which later became part of CSAIL ).
Visit rodneybrooks.com → RSS feedOn Hacker News Jan 2017 – Sep 2025
Science & Space 5AI & Machine Learning 4Career & Management 2Society, Policy & Culture 1Life, Learning & Writing 1Hardware & Electronics 1
Patrick Winston is one of the greatest teachers at M.I.T., and for 27 years was Director of the Artificial Intelligence Laboratory (which later became part of CSAIL ).
[You can follow me on social media: @rodneyabrooks.bsky.social and see my publications etc., at https://people.csail.mit.edu/brooks ]
In this post I explain why today’s humanoid robots will not learn how to be dexterous despite the hundreds of millions, or perhaps many billions of dollars, being donated by VCs and major tech companies to pay for their training.
This blog is not peer reviewed at all. I write it, I put it out there, and people read it or not. It is my little megaphone that I alone control.
Many new technologies have unexpected impacts on the physical or social world in which we live.
This post is about how much things can change in the world over a lifetime. I’m going to restrict my attention to science, though there are many parallels in technology, human rights, and social justice.
Generative Pre-trained Transformer models (GPTs) are now all the rage and have inspired op-eds being written by everyone from Henry Kissinger (WSJ) to Noam Chomsky (NYTimes) in just the last month. That sure is some hype level.
This post is not about research or developing software for robots. Instead it is some tips on how to go about building robots for mass deployment and how to leverage those deployed robots for improving your product.