Jaeden Schaefer

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.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.

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.

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.

these hand-coded rules.

So if this happens, then that, right?

It's kind of the if-then.