Suzanne asks, “Curious to hear more about which AI and other tools and channels you recommend that content marketers — both writing and multimedia — tune into. Thanks so much!”
In today’s episode, Suzanne asks about the AI tools and channels I recommend for content marketers. With the vast number of AI tools emerging, it’s important to start with the baseline technologies like ChatGPT and image generators such as Stable Diffusion or Bing’s image creator. Familiarize yourself with search engine implementations like Microsoft Bing and Google Bard for multimedia and prompts. Then, identify your specific use cases and build user stories to guide your tool selection. Keep an eye out for software integrations that leverage language models, as major vendors are recognizing the significance of this trend. Remember to stay focused, prioritize your needs, and adapt to the rapidly evolving landscape. Don’t forget to hit that subscribe button if you enjoyed this video!
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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 today’s episode, Suzanne asks, curious to hear more about which AI and other tools and channels, you recommend that content marketers, both writing and multimedia tune into? Thanks so much.
Here’s the challenge with the AI space right now.
There’s a gazillion tools popping up, left, right and center every single day.
I’m subscribed, like 12, or 13 different mailing lists, folks who just highlight new AI tools, and there’s hundreds a week.
So here’s what I recommend, first, get comfortable with the baseline technologies.
So that means getting comfortable with something like ChatGPT.
Is it the is the best system in town? No, not necessarily.
It’s got some pretty substantial issues here and there, but it’s what a billion other people are using.
And it’s okay, right.
It’s the one of the core technologies get comfortable with a system like Stable Diffusion or dolly to which are both image generators.
If you want the lightweight version of that, just go to Microsoft Bings image creator search for Bing image creator, that is essentially dolly to get comfortable with that.
So ChatGPT Bing, image creator, get used to the search engine implementation.
So Microsoft, Bing, and Google Bard get comfortable with those systems just as they are for basic multimedia, and, and prompts.
And then whatever your specialty is, whatever your focus is, that’s when you start looking for tools within that space.
And generally speaking, you’re looking for tools that fit your use cases.
So this is something really important.
We talked about this a Trust Insights a lot, building a user story, what is it that you want to do? Let’s say you are a podcast, as a, whatever I need to a task.
So that outcome, that’s a user story, as a podcaster, I need to improve the quality of my transcriptions so that my closed captions on my videos are not as laughably bad, maybe that would be a user story.
Once you write these out, you can write out as many as you want, then you’re able to look at the spate of new tools that are coming out every single day and go, Okay, I need this, I need this.
And the other 198 ms email I don’t need to pay attention to right now.
So that’s my general recommendation, you want to focus on the basics first, to get a sense of what the broad tools are, establish your user stories, and then get comfortable with the implementations that are specific to your job.
Most software, most software that is even moderately complex to use will probably have language model integration.
Honestly, I would say before years, and if, if big vendors are not keeping up, they are asking to get disrupted in a really big way, by what’s happening.
So for example, Adobe just rolled out Photoshop, with a gender to Phil’s the ability to use a language prompt to do generative generation within Photoshop.
Adobe has clearly seen that if they don’t have something in products, people are going to use other products and they don’t want that Hubspot saw real early on, this is going to be a thing.
And so Dharma Shah, the CTO and co founder was like, Hey, here’s JotSpot.
It’s wonky, it’s gimpy.
It has issues.
But we know this is a big deal.
So we’re rolling it out first.
So even the tools that you use today, they should be having these integrations coming up.
And if they’re not, then it’s time to look for alternatives.
But given how fast things are changing in this space, I mean, I listened to a talk from Andre Karpati, who was one of the founders of open AI.
Nine days ago, as of the day I’m recording this, and some of the information not much, but some of it is already out of date.
I gave a talk in Chicago almost three weeks ago now and some of that’s out of date.
So it is moving fast.
But it’s moving fast unequally.
There’s a lot of change at the technological level.
But that doesn’t necessarily translate to change for the user change for the non technical person.
No ChatGPT Yes, there are big model changes and its architecture is changing underneath the hood, but it’s not going to substantially impact the way that the average person uses it.
What will change is when these things get added to software that you know, do it in Google Docs and Gmail.
co-pilot in Microsoft Windows and Microsoft Office, when these software packages get these implementations, that’s when you’re going to see a big change.
Right? That’s when you’re going to see prompt engineering and discussion about prompt engineering by accountants by janitors, by anybody who’s using Microsoft Excel, for example, you’re going to see a lot of discussion about that, because that’s how people will interface with these tools.
So that’s my advice.
Start with the basics.
Write out your user stories.
Look at what existing tools you already have that are incorporating these things and start building out your prompts for them.
And then look at what else is in the field.
If your favorite tools are not implementing these things.
That’s that’s a way to keep up full, stay focused and not go crazy in all the hype and mania that we’re having right now.
Thanks for the question, and thanks for tuning in.
We’ll talk to you next time.
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