The following is a conversation with Rodney Brooks, one of the greatest roboticists in history.

He led the computer science and artificial intelligence laboratory at MIT, then co-founded I-Robot,

which is one of the most successful robotics companies ever. Then he co-founded Rethink Robotics,

that created some amazing collaborative robots like Baxter and Sawyer. Finally, he co-founded

Robust.ai, whose mission is to teach robots common sense, which is a lot harder than it sounds.

To support this podcast, please check out our sponsors in the description.

As a side note, let me say that Rodney is someone I've looked up to for many years,

in my now over two-decade journey in robotics. Because one, he's a legit, great engineer of

real-world systems, and two, he's not afraid to state controversial opinions that challenge

the way we see the AI world. But of course, while I agree with him on some of his critical views of AI,

I don't agree with some others, and he's fully supportive of such disagreement.

Nobody ever built anything great by being fully agreeable. There's always respect and love

behind our interactions, and when a conversation is recorded, like it was for this podcast,

I think a little bit of disagreement is fun. As usual, I'll do a few minutes of ads now,

no ads in the middle. I try to make these interesting, so hopefully you don't skip,

but if you do, please still check out the sponsor links in the description. It is the best way

to support this podcast. I use their stuff and enjoy it, maybe you will too.

This show is brought to you by PaperSpace Gradient. These guys are amazing. It's a platform that

lets you build, train, and deploy machine learning models of any size and complexity. I love how

powerful and intuitive it is. I'm likely going to use PaperSpace. For a couple of machine learning

experiments, I'm doing as part of an upcoming video. Fast.ai, of course, I highly recommend uses it.

That's a course by Jeremy Howard, who is as legit as it gets in the machine learning space,

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