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
How To Get Rich According To Tim Ferriss
There are a million ways to make a million dollars, and this is how Tim Ferriss did it. Tim Ferriss is someone we routinely follow because he’s always doing something interesting or has something smart to say. Ferriss is a successful author, entrepreneur,…
5 Stocks the Smart Money is Buying in the 2024 Bubble
So as you guys know, I love tracking the 13F filings of the world’s super investors to see what they’re buying and selling from quarter to quarter. But there’s this really cool website I follow called Data Roma, which compiles a list of 80 famous investor…
This Is What It's Like to Be a Space Rocket Launcher in Alaska | Short Film Showcase
We were up at the maintenance shop and we were waiting for it to go off. When it went off, you know, I was like everybody was real happy for the first couple of seconds. Then after that, it’s like, oh no, something’s not right, kind of a hopeless person. …
Probability with discrete random variable example | Random variables | AP Statistics | Khan Academy
Hugo plans to buy packs of baseball cards until he gets the card of his favorite player, but he only has enough money to buy at most four packs. Suppose that each pack has a probability of 0.2 of containing the card Hugo is hoping for. Let the random vari…
RFS: LLMs for manual back office processes in legacy enterprises
One thing I’d love to see more startups working on is the use of LLMs to automate complex back office processes in large enterprises. So, for example, in a bank, you might have a customer service team answering loads and loads of queries from customers. …
Henderson–Hasselbalch equation | Acids and bases | AP Chemistry | Khan Academy
The Henderson-Hasselbalch equation is an equation that’s often used to calculate the pH of buffer solutions. Buffers consist of a weak acid and its conjugate base. So, for a generic weak acid, we could call that HA, and therefore its conjugate base would …