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
Quotient rule | Derivative rules | AP Calculus AB | Khan Academy
What we’re going to do in this video is introduce ourselves to the Quotient Rule, and we’re not going to prove it in this video. In a future video, we can prove it using the Product Rule, and we’ll see it has some similarities to the Product Rule. But her…
These Faces Are The Same Color!
Akiyoshi Kok’s newest illusion is blowing my mind. You’ve got a white face and a black face. Psych! They are both the exact same gray. The face on top appears to be illuminated by a dimmer light source than the one below. So before putting anything into …
Creativity break: What can we do to expand our creative skills? | Algebra 1 | Khan Academy
There are so many ways that you can expand your creative and math skills without even really realizing that you’re doing it. Like for me, I’m a big board game fan. Um, I realize that there are so many games that involve math and learning how to solve pro…
Kayaking Over a Waterfall | Science of Stupid: Ridiculous Fails
I think it’s time we the scientifically challenged concentrate on one of science’s heroes, Tyler Bradt, kayaker extraordinaire. He wants to kayak over this, Palouse Falls in Washington. Thousands of cubic feet of water pass over this fall every second and…
Fourier coefficients for sine terms
Many videos ago we first looked at the idea of representing a periodic function as a set of weighted cosines and sines, as a sum, as the infinite sum of weighted cosines and sines. Then we did some work in order to get some basics in terms of some of the…
Why It’s Hard to Forecast the Weather | National Geographic
People have short memories, and you’re only as good as your last forecast. So, if you mess up a forecast, especially a high impact forecast, people will remember that. A 3-day forecast today is about as accurate as a 1-day forecast was in the 1970s. If yo…