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
Deploying the Depth Finder | Big Fish, Texas
Hey guys, now let’s get up and go. Okay, got to cut some bait out. We’re at the East Butterfly right now; it’s 130 miles from Galveston jetty. We have 13,000 pounds of grouper to catch, and that’s a tall task for anybody. Got to say, I’m very tired. I dr…
You’re reading wrong! 5 tips to become a better reader 📚
One of the common mistakes about reading is that aiming too much or focusing on numbers too much. I know reading tons and tons of books might feel amazing about yourself and even maybe feed your ego a little bit. But in those scenarios, you need to rememb…
Dostoevsky - Never Lie to Yourself
In The Brothers Karamazov, Fyodor Dostoevsky wrote, “Above all, don’t lie to yourself. The man who lies to himself and listens to his own lie comes to a point that he cannot distinguish the truth within him, or around him, and so loses all respect for him…
Z-score introduction | Modeling data distributions | AP Statistics | Khan Academy
One of the most commonly used tools in all of statistics is the notion of a z-score. One way to think about a z-score is it’s just the number of standard deviations away from the mean that a certain data point is. So let me write that down: number of stan…
Inside the Mission to Save the Rare Helmeted Hornbill From Poachers | National Geographic
This is about the second week of this expedition. We are at our third location here. My mission is to photograph the helmeted armbands. These hella nerd hornbills have been occupying these forests for thousands of years, but recently they’ve fallen prey t…
Reflecting functions introduction | Transformations of functions | Algebra 2 | Khan Academy
So what you see here, this is a screenshot of the Desmos online graphing calculator. You can use it at desmos.com, and I encourage you to use this after this video or even while I’m doing this video. But the goal here is to think about the reflection of …