He had a setup that could induce these power surges in a lab, but no matter what he tried, Edgerton just couldn't see what was going on with the motors because the machines would spin too fast for the human eye to see. And cameras at the time offered no help.
In the 19th century, philosophers talked about scientific socialism, where we could get exactly the gears of the machine of society just right so that everybody would be blissfully happy. Well, we know how that turned out. It turned into a bloody 20th century that destroyed hundreds of millions of lives.
He wants to affect this firm. What he wants is for the firm not to sell these machines to China. Okay, let's forget for a second whether this is a good idea or a bad idea. That's what they're trying to achieve. Well, the way we're going to think of it is we're going to think that he wants to put a wedge on a
So it's that kind of history we're looking at to figure out what's the rate of automation and what's the rate at which machines are getting better. And then we run the model forward.
automated just like Moore's Law? Machines get better at 10% per year throughout the economy starting today, and then that automation gives you more ideas, gives you more automation. Okay, so that's going to be a very aggressive scenario.
We live in a world where billions of people consume video every day without ever thinking about the invisible machinery underneath it. But that machinery matters. Open source infrastructure matters. It is one of the great examples of human beings quietly collaborating across borders to build something useful, durable, and elegant for the rest of us.
This is one of the big problems now with the artificial intelligence and other machines replacing people and and different types of jobs, it becomes more difficult. It produces that big wealth gap while you're having more productivity. Everybody wants more
This is a machine. Machines do not think. Machines do not have qualia. They do not understand the redness of red. They do
Machines do not think. Machines do not have qualia. They do not understand the redness of red. They do not experience emotion. They have no consciousness.
going to bring in these machines." But they would sit down with like the factory union leader and they would say like, "Okay, you can bring in the machines, but we're actually going to couple that with a wage increase or we're going to couple that with a 35-hour work week or earlier retirement." And so it was seen as like there was a channel to make a deal about how uh automation could show up in your
one of the greatest scientists of our time, the father of artificial intelligence, the father of modern computation who invented the Turing machine, which is the basis of the second era of computation. The first era was analog computers, computing on sticks, computing on levers and pulleys and gears and turning the crank.
So as the kids get older, we get into the bigger robots, obviously, that becomes more challenging, and we're working on figuring out how to address that need. machine. So we've got a pretty broad capability.
want we will make it more convenient heart lung machine we will make a more sort of easily cleanable heart lung machine in effect what's going on here is that you have divided the job of innovation new functional capabilities where markets uncertain are
And I think that's what's exciting. Machine learning, you can see, has the possibility for very new things to emerge out of that learning process, things which you are not expecting, things which are quite hard to explain, things which are surprising and could have value.
have been had the future come earlier." You might have encountered this steampunk novel, "The Time Machine" by HG Wells. It's one of the first steampunk works.
And our conscious experience, like you're saying, is this kind of train of thoughts in perpetual motion. machinery for appreciating this.
machines. You know what I'm saying?
machine. And he thinks they're talking about helicopters.
Machines tend to be favored in people's opinion when it comes to replacing jobs compared to replacing people
Machines and robots are very good at structured environments, moving boxes on assembly lines.
Machine learning, as we were talking about, with software that we're developing ourselves.
Machine learning for us has widened our capacity to explore everything we've ever loved.
Machiavelli meets, of course, both these people, and he subsequently has several meetings with Julius II.
Machiavelli's dedication is extraordinary from a literary point of view because he says to these Medici princes to whom the book is dedicated,
Machiavelli has this very strongly in mind.
Machiavelli says, that's not liberality.
Machiavelli's? Yes. Well, yes, it's an interesting development.
Machiavelli, I haven't had time to talk about.
Machines can be changed.
Machines can be added to, modified, another rotor can be put on the Enigma.
Machine learning, artificial-- For sure.
Machiavellian. He was so Machiavellian.
machinery make more viruses.
machines to make decisions for high stakes kinds of environments like, let's say, credit approval, loan approval, or recruiting, and so on?
Machines may carry out functions with different degrees of automation, but ultimately, human judgments are required to comply with those laws.
machines more complicated. It adds a rotor.
machines, manual pour over methods.
Machines won't do meaning.
Machines today they have tons of memory anyhow.
Machine keeps trying, and trying, and trying.
Machines-- machines that play chess, machines that juggle, machines that are flame-throwing trumpets, and yeah, how about the curation of information theory?
--Machiavellian about it, I mean, I would definitely manipulate the infor-- I would prioritize the proper information.
Machine learning is the topic could, the work right now in artificial intelligence.
machine, which, if you have that, I'll come over after this is done and We'll make ice cream.
Machines have been replacing blue collar jobs.
Machines could get better and better.
machine . Or are you going to start to explore some other machines?
machines that were the computers at the time they still trusted the human computers and because they were African-American they were called
machines like this they're kind of more boxy um and stuff they usually work in the X and Y as the extruder and then the
machine is they're like well why do you have two Motors uh with two screws on each side why don't you just use one