James Vincent
๐ค SpeakerAppearances Over Time
Podcast Appearances
But we are hearing a lot more about these robots now than we were back in 2021 when Musk held that symposium or whatever it was, right?
I mean, why is it that we're seeing more of this stuff?
Is it just because there are more robots now?
The big reason for why we're having this moment for humanoids at the moment is AI.
The chat GPT boom and from deep learning from these technologies that have enabled large language models or chatbots, a lot of people have thought that this is a transferable technology that we can plug into humanoid machines and other machines, and it can learn in the same way that chatbots have been able to learn to reproduce human speech.
Now, the big thing that they're depending on is essentially...
Robots in the past, you had to program them manually.
You had to say, move your arm here down this many degrees across like this and apply this much pressure.
What you have with the new form of AI is that it learns these lessons by itself, essentially.
You plug in a lot of data, you give it an output that you want, and it learns how to connect those pieces together.
The hope is, from these companies, that if we get enough data, we will quote-unquote solve the problem of physical robotics and we will have these machines that are multi-dexterous, capable of all these different tasks.
And the big criticism of that is that robots are not in the same world as chatbots.
Chatbots are dealing with text.
If they make mistakes, you know, you talk to a chatbot even today and it will still make mistakes every now and again.
When those mistakes are transferred to the physical world, they suddenly become a lot more potentially dangerous.
You know, a big thing that a lot of companies are doing at the moment is they're saying, we're going to put these robots in the home.
They are going to be the perfect robot butler and they will take care of your dishes and your laundry and all the rest of it.
If a chatbot gets something wrong when you're asking it to do some research, then it's not the biggest deal in the world.
You may spot the error and correct it.