yego.me
💡 Stop wasting time. Read Youtube instead of watch. Download Chrome Extension

Walter Isaacson on Alan Turing, Intelligent Machines and "The Imitation Game" | Big Think


2m read
·Nov 4, 2024

Processing might take a few minutes. Refresh later.

It’s great to trace things back to Alan Turing. You know he’s in Bletchley Park, England. He had come up with the concept of the universal computing machine, but then he has to help put it in practice to break the German wartime code. So he comes up with a device called the bomb and then colossus, and these are machines that can break the code. He starts thinking about the difference between human imagination and machine intelligence.

And it goes back to what he calls Lady Lovelace’s objection. It goes back to Ada Lovelace a hundred years earlier who had said machines will be able to do everything except think. And so Turing comes up with what he calls the imitation game. Now we call it the Turing test, in which he tries to figure out how would you tell the difference between a human and a machine. How would you know the machine’s not intelligent?

He says, well, put a human and a machine in a different room, we send them questions, and if after a while you can’t tell which one’s a machine and which one’s a human, then it makes no sense to say the machine isn’t thinking. Now you can have philosophical arguments about whether or not that’s a good test, but ever since then, it’s been about 65 years since he came up with that concept. We’ve been trying to invent machines that would pass the Turing test or the imitation game.

Every now and then you read about a machine that can sort of do conversational gambits and maybe confuse a person for five minutes or so, and sort of try to pass the Turing test. But surprisingly, we found it very difficult to have machines that can really carry on a conversation and be confused with a human. You can usually tell the machine from the human.

A different way of looking at the way the computer age evolved is sort of Ada Lovelace’s way, which is that computers and humans will evolve symbiotically. They’ll be partners. We will get more intimately connected to our machines, and the machines will amplify our intelligence. Our creativity will amplify what the machines could do.

And we don’t need to try to create robots that’ll work without us. It’s kind of cooler to create this partnership of humans and technology, or as she put it, the humanities and engineering. So those are really the two schools of thought in computer programming.

And every now and then you hear people say the singularity’s coming or we’re about to get to the age of artificial intelligence and machine learning. And I suspect it may come, but it’s always about 20 years away. And in the meantime, it’s sort of the Ada Lovelace vision rather than the Alan Turing vision. The vision of having machines that connect to us more intimately rather than replace us and don’t need us anymore...

More Articles

View All
3d curl formula, part 2
So I’m explaining the formula for three-dimensional curl, and where we left off, we have this determinant of a 3x3 matrix, which looks absurd because none of the individual components are actual numbers. But nevertheless, I’m about to show how, when you k…
Northern Lights From 100,000 ft!
This is the most spectacular natural light show on Earth. These images filmed from the International Space Station capture what has drawn people from around the world for centuries. I have come all the way from Australia to see it for myself. Welcome to A…
Sad, Bored, Anxious? Maybe You've Got Weltschmerz
Watching Disney movies when we’re young teaches us that good always prevails and that we all live happily ever after. But when we’re confronted with the real world, we see that this mechanism isn’t always in effect. Looking at all the suffering, the injus…
The solar system | Earth in space | Middle school Earth and space science | Khan Academy
The Earth isn’t flat, but the solar system is about 4.6 billion years old. The material that makes up our solar system was in the form of a nebula, which is pretty much a big cloud of gas and dust in space. Gravity flattened this material into a disc, lik…
Pick Partners With Intelligence, Energy and Integrity
In terms of picking people to work with, I have high intelligence, high energy, and high integrity. I find that’s the three-part checklist that you cannot compromise on. You need someone who’s smart or they’re heading in the wrong direction, and you’re no…
Worked example finding area under density curves | AP Statistics | Khan Academy
Consider the density curve below. This density curve doesn’t look like the ones we typically see that are a little bit curvier, but this is a little easier for us to work with and figure out areas. They ask us to find the percent of the area under the de…