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 Fix a Leaky Wooden Boat | Primal Survivor
NARRATOR: The boats may look simple, but their design is intricate and complex. Ta’u boatbuilders journey deep into the forest– [non-english speech] –to find the 11 different species of tree needed to make a [non-english]. Centuries of experience go into …
Illegal Marijuana Farms Endanger Wildlife on California’s Public Lands | National Geographic
So two teams coming off separate points on the ridge, press out with it. Okay, right where we’re at right now is what would be considered the lion’s den of marijuana cultivation in California or North America. This is also a prime area for a lot of threa…
15 Decisions You WONT Regret 20 Years From Now
Hey there, my friend. Now, this is the second part of a video we did a couple of weeks ago where we talked about the decisions you will regret 20 years from now. Just like it’s hard to see how these bad decisions will play out in the long term, the revers…
Heating curve for water | Thermodynamics | AP Chemistry | Khan Academy
Let’s look at the heating curve for water. A heating curve has temperature on the y-axis, in this case, we have it in degrees Celsius, and heat added on the x-axis; let’s say it’s in kilojoules. Let’s say we have 18.0 grams of ice, and our goal is to cal…
Diego Saez Gil - How Pachama Uses Tech to Solve Climate Change
Alright guys, welcome to the podcast! How’s it going to you? It’s going great. So today we have Diego Sayis Gil of Pochamma from the Winter ‘19 batch and Gustav Helstrom, who is a partner at YC. So today we’re here to talk about Diego’s company. Gustav, w…
See Through Suppressor in Super Slow Motion (110,000 fps) - Smarter Every Day 177
I have been wanting to make this video for years. A see-through suppressor with a high speed camera—COME ON! This is awesome! The problem is I didn’t have access to licenses or the equipment necessary to make it. All that changed when I met Steve. Hey, i…