Ep 3 - AI vs Authenticity: The Battle for Quality Online Content

Speaker A [00:00:00]:All right, IRA, welcome back to another episode. How are you, man?Speaker B [00:00:03]:I'm doing well, man. How are you?Speaker A [00:00:04]:Doing well, we got a lot to cover this week, man. I feel like this tech space is just moving at three years at the pace of like, two weeks, man.Speaker B [00:00:12]:They call it tech speed.Speaker A [00:00:15]:We got to slow it down. So I have a couple of things I want to talk about today I think people might find interesting because this is pretty relevant. And again, each of these weeks, man, we're trying to keep up with some of this stuff. I know we have some cool top topics that we want to dive into in future episodes, but yeah, the pace of this, man, is hard to keep up with things. And I want to get your opinion on a lot of this stuff. Have you heard about this new I don't know if it's a plugin, but it's with Chat GPT, the code interpreter.Speaker B [00:00:39]:Yeah, I saw you had sent me an article on it and I was checking it out, so just a little bit, but it's crazy stuff. Crazy stuff.Speaker A [00:00:47]:Yeah. So for those who aren't familiar and again, I just skimmed the article, so I'm no expert in this, and I would love to hear your interpretation of it, but essentially you'll be able now to take any kind of data, set, upload it, and then it's ultimately just going to spit out all kinds of interpretations. So for the example that they use, is somebody pulled, I believe it was a data set of all the lighthouses in the US. And they uploaded this file and in a matter of seconds, they were able to put this into charts and see where lighthouses are lighting up and get like, animations and gifs and things of that nature. So, yeah, I probably did a poor job explaining that. What's your interpretation?Speaker B [00:01:27]:Yeah, I mean, the thing is, with any data set, making use of the data is the key. Of course, we've talked about this in some of the past episodes, but I live a lot in the manufacturing space and dealing with different companies. And depending on where you are in there, I know there's lots of companies that have just a ton of data, and one of the biggest questions they have is I have too much data. What am I supposed to do with it? So having a tool like this to maybe try to figure out different charts and patterns and things is great. Now, with that considered, it could be jumping to conclusions, maybe, and potentially providing some trends of things that maybe don't really exist, but I guess that's true with any kind of evaluation. So I think the tool is really powerful. But how valid is information? I mean, the lighthouse example is cool, but really applying it to more general operations, I don't know. It would be interesting to see how it evolves over time.Speaker A [00:02:28]:Yeah, I think you have some good points there. I think the validity of it more so, I think, about things like what problems can this solve? I mean, especially in the manufacturing space, there's a ton of things, if you get the right output that you're looking for. And I think the first person I thought of was Jameson Rotts, who we had on. We'll have him back again soon. Because this is a lot of what he's doing with machine learning and the algorithms and working with companies and taking their large data sets and so forth. And so I think what he's doing is a lot more integrated in in depth. But for the general population, I think this is a good first step. Now, the thing I'm noticing with all of these tools that they're rolling out so fast, is that they are still very tech intensive, meaning you still have to understand how to use them, how to put in the custom prompts to get the output that you want, and things of that nature. What I'm actually fascinated with, though, is actually thinking at scale. I don't know what this looks like, if it's twelve months, 24 months, three years out, et cetera. But I think what's fascinating is some of the use cases of taking all of this data and having machine learning and algorithms and OpenAI use all the data to pull in to come to conclusions that could actually be beneficial to society in a good way. And I'll give you an example, is think of all the missing persons cases that are out there, right? Think of all that data if we can roll this up, these machines now, and this AI can tie those connections together, probably getting Internet access with Chat, GBT Four and so forth, and probably draw some conclusions of at least to say, hey, check out this, or here's some commonalities or correlations and so forth. That to me, is what I get excited about. This. I know you probably get excited on the manufacturing floor. I get excited just about the possibilities. I think it's going to shake up for a lot of you got families, this is going to help. But even more so, a lot of these organizations that might not have the funding traditionally to access some of these resources that could actually help them.Speaker B [00:04:...