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The AI Paradox: How to Make the Most of What AI Can & Can't Do
594 Plays26 days ago
In this AI marketing podcast episode, Dan Sanchez dives into the intriguing concept of Moravec's Paradox, examining why AI can excel in complex tasks like advanced math yet fumble over simple tasks such as counting survey responses. He unpacks the paradox, revealing how marketers can navigate and leverage these peculiar strengths and weaknesses of AI. By understanding where AI struggles and succeeds, Dan provides insights on building systems that maximize AI's potential while mitigating its shortcomings. Tune in for strategic advice on staying ahead in the ever-evolving AI landscape and discover how to use Moravec's Paradox to your advantage as a savvy AI-driven marketer.
Resources Mentioned: https://www.socialmediaexaminer.com/smmworld
- Social Media Marketing World:
Timestamps:
00:00 AI's Uneven Skill Gaps
05:48 Leveraging AI's Strengths and Limitations
07:15 AI: Focus on Core Improvements
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Transcript
Introduction to AI's Paradoxical Abilities
00:00:00
Speaker
Have you ever been frustrated by the fact that AI is so good at some things and so ridiculously bad at what seems to be like a simple task? I know it's frustrating when it can do advanced math and calculus and people are bragging about the like fields metal math that it can do and yet it it still can't freaking count the amount of survey responses I just put into it for some reason let alone calculate what's in those survey responses.
00:00:25
Speaker
If you've ever been frustrated about that, that's what I want to make this episode about. Not only why it's happening, what's causing it, but what to do about it and how you can leverage it to get the most out of it this year as an AI-driven marketer.
What is Moravec's Paradox?
00:00:40
Speaker
Welcome back to the show. My name's Dan Sanchez. My friends call me Danches. And today I want to help relieve some of that frustration because we've all been caught into it. And I want to talk about the paradox that's at the root, that's at the center of this thing that's causing so much frustration when it comes to working with AI that makes it just seem so dumb yet so smart sometimes. so And it's a term they're calling more of X paradox.
00:01:05
Speaker
Yes, more of X Paradox. So I'm going to jump into a deck real quick to give an illustration of what's going on. And if you're following along in an audio podcast, just know that I'm going to be spelling out in detail all the visuals that are coming along the way. So more of X Paradox.
00:01:23
Speaker
is a concept to explain why some things, some simple things are actually incredibly advanced for AI and why advanced things are actually incredible simple for AI. The way we look at it is intelligence is linear, right? It's like this bright shining orb. If you can't see it, I have like this this basic ball of light that kind of dissipates the farther it gets out on the deck. In the middle, I have the word intelligence. We think about intelligence this way. So if you can,
00:01:51
Speaker
Gradually learn how to do math you might learn how to count first and then work your way to something like advanced
Examples of AI's Non-linear Intelligence
00:01:56
Speaker
math, right? I know big steps for a lot of small baby steps in between those things And it's it's reasonable to think like well if I could do advanced math out on the fringe of the intelligence, right? because I put it right here on like the edge of where it's the light is dissipating then counting is towards the center like I should be able to get that and It's kind of counterintuitive that AI can be fantastic at advanced math and algebra and calculus, but really struggle with something basic like counting. Yet we find that over and over the place. So if I want to adjust this graphic, I actually changed it to look more like this blob right here, where it looks like ah ah an ink splat on a piece of paper. right And I have intelligence in the middle again. and
00:02:36
Speaker
one drop of the ink splat that's way out there, you know, is advanced math sits on that. And then one of the gaps that are in between the splatters, you know, that the ink isn't covering is the word count.
00:02:48
Speaker
because that's how it is with AI. It has all these gaps in its knowledge, and it seems to shoot way out there on these advanced topics, yet struggles to do some of the more basic things. it does this in multiple ways, in lots of different places. Like, it can make photorealistic images, yet it struggles to, you know, have the right amount of fingers. Like, how can it be photorealistic with the face and the hair and the backdrop, and yet that person's got six fingers? How is that possible?
00:03:16
Speaker
Well, I'm not going to break down like the tech and the science. You can go and you like just do a search for more of X Paradox on YouTube, and you will have some great explainers breaking out the details. I find that knowing the intricacies of why it happens is much less important than to marketers than the fact that it happens, and it's happening all over the place.
00:03:35
Speaker
the For marketers, what you really have to pay attention to is where it's happening and how it's happening.
How Can Marketers Leverage AI's Strengths?
00:03:42
Speaker
For example, reasoning was something that AI struggled with just recently. right Until September came around where OpenAI launched its O1 reasoning model, reasoning was was tough. You had to essentially do the reasoning for AI. It could do a lot of advanced things, but if you wanted it to do a a project that included pretty important tasks in between, you'd have to just break it out and ask it to do each task and then guide it through the whole project. But AI is always improving. And that's the thing that you need to realize. And the thing that I'm paying attention to the most as an AI marketer is that these things are improving because now this ah ah this is probably an accurate picture of what AI looked like just six months ago. But today it probably looks a little bit more like this. Now it's getting fingers right almost all the time. It can actually reason pretty well. They just launched, they went from O1 preview all the way up to O3 mini is where they're at right now. And the other ones are probably be coming out shortly.
00:04:42
Speaker
And now they can do, it can do basic counting. I used to struggle to count the amount of R's in strawberry famously, right? But now 04 can actually, you know, count the amount of R's in the word strawberry, but it still struggles to count the amount of survey responses. I know, cause I just tried it last week and it's, I'm like, it's still having a hard time. Even, even the advanced reasoning models still have a hard time counting for some reason, which you're like, what is going on?
00:05:05
Speaker
But it's important to understand where it's at because in understanding it and paying attention to where AI is currently and staying up to date, this becomes our advantage as AI marketers. It's easy to think like, oh, I wish it were just easy. I wish I could just not have to pick between models. I wish it would just do all my work for me and I didn't have to explain very much. It would just automatically know and it would just get it done and write the strategy and the tactics and do all the work and all this stuff. but If it were that easy, everybody would do it and there'd be no real advantage to learning ahead of time, right?
Strategies to Navigate AI's Limitations
00:05:40
Speaker
So if you want to take advantage of what's available this year, learn. Pay attention to what it's good at and what it's not good at so that you can build systems to <unk>ll truly leverage what it's good at and then try to find backups or ways of figuring out how to mitigate some of the shortfalls that it has with things like counting and fingers missing and all that kind of stuff.
00:06:02
Speaker
For example, when I'm using photos, I generally try not to focus on fingers. right And everybody knows like how bad AI video is. So I tend not to use video. And if I do, I use it really lightly and subtly in a background backdrop of a video in a really small way. right So I try to mitigate it and use it sparingly. If I need it to count, I might ask it to use a math kind of calculator or a computer in order to calculate the equation in order to count the things or I might have it insert things into Excel and then count them that way before actually doing the math that it needs to do in order to analyze the report. So while Moravec's paradox is something that still throws a freaking stick in the bike wheel of all of us marketers trying to get stuff done, right now you can use it to your advantage by understanding it and learning how to leverage AI where others are going to miss it because they can't get over the fact that AI can't count.
Enhancing Marketing Strategies with AI
00:06:58
Speaker
They're also never going to be able to take advantage of the fact that it can do advanced math and do some of the other things that it can do. So take advantage now. You learn how to leverage AI to its fullest extent and then pay attention to what's coming out as OpenAI i and Claude and Google and all the other AI companies make announcements. Don't look for the new flashy thing you can do. Look for where it shored up, what it used to struggle with.
00:07:23
Speaker
and then make your plans accordingly address address your systems and your tactics and your strategies in order to accommodate for the new improvements. Sure, maybe of the fancy things it can do on the edge, but most of the time I'm looking for what are the simple things that it can now do that's actually quite advanced for AI to be able to do because that's going to make more gains in our daily lives and our
Join the AI in Marketing Conference
00:07:45
Speaker
workflows. Thank you for following along in this quick tutorial on how to take advantage of Morvex Paradox. If you wanna level up your AI game, I highly recommend joining me in San Diego on March 30th for the Social Media Marketing World Conference. I will actually be speaking and hosting a AMA with Michael Stelzner live at the event, and there will be a whole track, a whole ticket lineup just for AI marketers. I swear, this is the best AI conference
00:08:15
Speaker
out there right now, even though it's called the Social Media Marketing World Conference, ah Conference, ah Michael Stelzner is building a solid and robust AI lineup that you can take just by itself. So come join me in San Diego on March 30th.