In today’s episode, I tackle a question from Kristen about how I manage to stay up to date with all the advancements in AI. The answer is two-fold. Firstly, I genuinely enjoy exploring and experimenting with new AI technologies, so it feels more like a hobby than a chore. When you enjoy something, it becomes easier to stay motivated and interested. Secondly, I emphasize the importance of knowing what belongs in your AI “kitchen.” Just like selecting the essential tools for your kitchen based on your cooking skills and preferences, you need to determine which AI tools are relevant to your specific needs and use cases. Not every AI development will be relevant, and filtering out the noise is crucial. By focusing on what aligns with your goals, you can stay informed without getting overwhelmed. Tune in to the video for a deeper dive into this topic. Don’t forget to hit that subscribe button if you find this content valuable.
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What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for watching the video.
Christopher Penn 0:00
In this episode, let’s answer Kristen’s question.
How are you managing to keep up with everything that’s happening in AI? The answer to this question is twofold.
One, keeping up with it is easier for me because I enjoy it, I legitimately enjoy seeing what’s new, playing with all the new toys, et cetera, understanding the technology determining how it works.
For me, it’s as much a hobby and pastime as it is a profession, if you were to ask me to keep up with, say, regulatory changes, it would be a lot harder for me to stay up to date on that, because that’s not my, that’s not my cup of tea, I don’t enjoy that.
So that’s part of it, is keeping up with something, if you enjoy it, it’ll be a lot easier to stay motivated to stay interested in the topic.
The second thing is having a sense of what belongs in your kitchen.
So what I mean by this, if you go to any major store, go to like IKEA, right? And you go to the kitchen section, and there’s huge numbers of everything, and pots and pans and utensils and appliances and all this stuff.
And you look around you go, what of this stuff do I actually need? The answer to that question is going to be contingent on your cooking skills, the amount of space you have the kinds of things you like to cook? And what do you even know what some of the things are? Pick up this one thing was like, oh, there’s got all sorts of attachments and things, I’m not really sure what to do with it.
That is a good analogy for AI tools, right? There’s gonna be a whole bunch of tools and categories of things that you probably aren’t going to need.
Right? When you see someone announcing a new way to do model quantization had, are you really going to be doing that? Because if you’re not, then you can probably safely ignore news about model quantity quantization.
If you are really focusing on generating images and video, probably what’s happening with large language models, you don’t need to keep as up to date on that.
Another some things like prompt engineering, but I do believe a lot of people will need more, at least general skills with the same way that you need general skills with like a word processor spreadsheet, right? If you’re not in accounting or finance, you probably aren’t going to know the advanced functions of Microsoft Excel, but you probably should at least know how to add cells together.
The same is true for prompt engineering.
But all the the announcements and the the hustle and the hype of what’s happening in AI right now.
Some of it is relevant some is not.
And what determines relevance is determined by what you need it to do.
And what are your use cases.
If you are running a manufacturing floor, and you are looking for a way to reduce defects on the manufacturing line, something like the tools in computer vision, that’s gonna be real relevant for you, because you’re going to be using machine based image recognition to spot defects.
Again, should something like Stable Diffusion and generative AI be at the top of your list of things to keep up on? Probably not, it’s probably not going to make as big a difference for your productivity.
So the things to keep in mind when you’re seeing this flood of AI news coming at you is is this relevant to what I want to do? Is this relevant to what I’m trying to do? And if the answer is don’t, you now know how to filter that? To say, You know what, I don’t need to pay attention to this entire subject area, at least not what’s on the cutting edge.
Think about the bell curve, right? You have your early adopters, your cutting edge, early adopters, your mainstream, your laggards.
And then you’re Luddites.
So if the five phases of the bell curve in areas that impact your industry, yeah, you want to probably be an early adopter, maybe even cutting edge in areas that don’t impact the industry, you can be solidly mainstream or even a laggard.
Because it’s just not something that is super important.
For example, I pay almost no attention to autonomous vehicles, to self driving cars.
I look for, you know, what’s available in market.
But I’m not paying attention to news, because it’s not relevant to what I do.
It’s not something I’m personally interested in.
And it’s just not something that interests me as much as what you can do with large language models.
So that’s my answer.
You keep up with it, based on what you want to have in your kitchen, and then you ingest you take in the stuff that’s in those areas, and the rest just kind of park until it becomes more mainstream.
Thanks for the question, and I’ll talk to you next time.
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