The History of AI
In Machines we Trust
In Machines we Trust
4.3 • 6 Ratings
🗓️ 2 February 2026
⏱️ 12 minutes
🧾️ Download transcript
Summary
Chapters
00:00 Introduction to AI History
01:49 Early AI and Symbolic AI
05:39 AI Winters and Expert Systems
08:41 The Rise of Machine Learning
13:09 Modern AI and Future Outlook
18:27 AI's Impact on Innovation
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Transcript
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| 0:00.0 | Welcome to the podcast. 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 and personally for me, it is definitely not boring. There's just so many wild twists in this. And I think, |
| 0:23.0 | you know, if this is an area that we all spend so much time focusing on, there's so much money |
| 0:26.7 | in the world being poured into it, I want to go back and talk a little bit about some of the |
| 0:31.5 | background that's been, you know, that basically laid the foundation for what we have in AI |
| 0:36.1 | 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. I had the same problem. And so I actually built AIbox.a.i. 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. |
| 0:55.6 | 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. If you want to check it out, there's a link in the description to AIbox.a.i. 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. |
| 1:15.3 | So it's actually before computers were very powerful at all. |
| 1:18.8 | So people are already kind of asking the question, can machines think? |
| 1:22.2 | And if you go back to the 1940s and 1950s, computers were, you know, they're basically just glorified calculators. |
| 1:27.5 | 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. |
| 1:33.2 | But before that, there were size of the house. |
| 1:34.5 | And before that, it was like basically the size of like a warehouse, right, for one single computer. |
| 1:38.0 | 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, |
| 1:49.8 | there's a lot of funny twists and in all of this we'll get into. But I think one of the earliest |
| 1:54.2 | turning points was the idea that thinking itself could just basically be reduced to kind of like |
| 1:59.0 | math and logic. So if human reasoning |
| 2:01.3 | followed rules, then kind of the theory was that you could encode those rules into a machine. |
| 2:06.2 | And that was basically the foundational belief of the early AI. And so in 1956, this officially got a |
| 2:13.1 | name. There was a group of researchers that were gathered for a workshop and they coined this artificial intelligence. |
| 2:19.6 | 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. |
| 2:25.6 | So this early A that I obviously was, you know, what they thought it could do was extremely optimistic. |
| 2:32.2 | I think it was wildly optimistic. So basically these |
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