The Road to Modern AI
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What are the early visions and the birth of AI?
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What caused the AI winters and the rise of expert systems?
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Welcome to the podcast.
How did machine learning emerge in the AI landscape?
I'm your host, Jaden Schaefer. Today on the show, I wanted to go back in time a little bit and actually talk about the history of AI. Typically, I'm talking about news and AI or interviewing people that are working on, you know, some of the biggest AI companies. But I wanted to talk a little bit about the history because I've been researching it lately.
What breakthroughs led to modern AI advancements?
And personally, for me, it is definitely not boring. There's just so many wild twists in this. And I think, you know, if this is an area that we all spend so much time focusing on, there's so much money in the world being poured into it. I want to go back and talk a little bit about some of the background that's been, you know, that basically laid the foundation for what we have in AI today. So before we get into all of that, you probably pay for multiple subscriptions to get access to all of the best AI tools. I know it can definitely add up fast.
How did deep learning change the AI field in the 2010s?
I had the same problem and so I actually built AIbox.ai and so you can spend $20 a month and you get over 40, actually I believe now we're up to 50 of the top AI models on one platform. So you get text, image, audio, everything you need in one place. You don't have to juggle through tabs. You don't have to waste money on a whole bunch of overlapping subscriptions.
What are the limitations of early AI systems?
If you want to check it out, there's a link in the description to AIbox.ai. okay let's get into the podcast today so i think the idea of artificial intelligence actually starts way earlier than a lot of people think so it's actually before computers um were very powerful at all so people are already kind of asking the question can machines think and if you go back to the 1940s and 1950s computers were you know they're basically just glorified calculators i mean we've all seen the pictures of these computers that are you know the size of a room when they got more advanced but before that there were size of the house and before that it was like basically the size of like a warehouse right for one single computer and so even back then there was a whole bunch of these kind of visionary thinkers that believed that these machines could eventually reason or learn or maybe even mimic human intelligence and of course there's like there's a lot of funny twists and in all of this we'll get into but
I think one of the earliest turning points was the idea that thinking itself could just basically be reduced to kind of like math and logic. So if human reasoning followed rules, then kind of the theory was that you could encode those rules into a machine. And that was basically the foundational belief of early AI.
How is AI transforming industries today?
And so in 1956, this officially got a name. There was a group of researchers who, that were gathered for a workshop and they coined this artificial intelligence and that's basically the moment that most people consider to be kind of like the birth of the field of ai that we have today so this early ai obviously was uh you know what they thought it could do was extremely optimistic I think it was wildly optimistic. So basically, these researchers believed that non-human level intelligence was maybe 20 years away. They thought things like vision, language, reasoning were basically solved problems.
What does the future hold for AI technology?
And of course, I think the spoiler alert is that they were not because we're here, you know, like over 50 years later and bringing a lot of this stuff out. I mean, 75 years later for some of this stuff. So a lot of these early AI systems were what we now call symbolic AI.
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Chapters
8 chapters
1
What are the early visions and the birth of AI?
0:00–0:15
2
What caused the AI winters and the rise of expert systems?
0:15–0:31
3
How did machine learning emerge in the AI landscape?
0:31–0:46
4
What breakthroughs led to modern AI advancements?
0:46–1:15
5
How did deep learning change the AI field in the 2010s?
1:15–1:33
6
What are the limitations of early AI systems?
1:33–2:39
7
How is AI transforming industries today?
2:39–3:15
8
What does the future hold for AI technology?
3:15–12:48