Generative AI: An Overview and the Landscape

There is going to be an explosion of tools based on AI to create and deliver your synthetic content in the future. While it might be overwhelming, we have to watch as the new tools come online. Luckily, there are folks who are keeping track of this stuff for us.

This article from Ars Technica provides some deep, techy background on the path from the computer lab to the current state. Helpful context for understanding how the future might unfold.

And, here’s a helpful visual of the landscape. It’s impossible to stay on top of the new entrants, and I’m convinced the pace will only accelerate.

Follow Ollie on twitter at @ollieforsyth and Antler at @AntlerGlobal

You Don’t Have To Pay Attention

Like every other human looking at digital screens, I am pre-disposed to get swamped in the stream of headlines and images. The UX people and product managers are engineering the experience to make me want to click or tap or swipe. It’s easy to get into the flow and just go with it and then you realize, 10 minutes later, you’ve been wasting time. I know that, but my way of fighting back is to ask myself, before I click or tap or swipe, “Is this really what I should be spending my time on right now?” It’s a small step, a little guardrail.

Marketers, Choose Wisely: “AI plagiarized me, now what?”

If you’re in the digital marketing business, you’re probably already overwhelmed with stories about AI and the fast-growing set of tools that can be used to generate content . Who needs to write anything anymore when we can simply paste a prompt into Chat GPT3?

Every marketer knows the pressure to generate more and fresher content. The press to get stuff out on all the feeds is real, and paying actual humans money is expensive over time. So, it makes sense why marketers would be curious about ways to deliver more content with less time, money and energy input. AI sounds awesome!

AI is, as of now, a tool like a hammer. It’s a powerful assist to human work. But, you can do a lot of damage with a hammer if you don’t use it well.

So, where are these AI engines getting trained to create all that content for your site or your emails?

The algorithms are getting pointed at the rest of the web, where gajillions of paragraphs are out there in the open, ready to be used as the template or input.

CleanShot 2023-01-17 at 07.05.33@2xGet ready to see more and more articles like this one:  A Writer Used AI To Plagiarize Me. Now What? In this case, it’s an everyday person getting dragged into a sketchy Substack ploy. Someone wants to “get rich” on substack, but doesn’t want to do the work, so they’re using AI to generate the content for them. But, in this case the AI pretty much just plaigerized. Or, the writer did and blamed it on AI. Either way, worrisome.

This is going to happen to a brand soon, if it already hasn’t. Some brand will use AI to make an ad, and an author will claim copyright infringement.

Good marketers that are interested in building and maintaining equity will want to tread very, very carefully here.

Meditating on the Craft of Living

Listening to Rich Roll and Dan Buettner talking about a rethinking of how to live life after you hit a certain point, where your age, wisdom, seem to catch up. We can’t work 45 hours a week without sacrificing key things.

They shared this quote from EB White:

“Every morning I awake torn between a desire to save the world and an inclination to savor it. This makes it hard to plan the day. But if we forget to savor the world, what possible reason do we have for saving it? In a way, savoring must come first.

Here’s the link to the episode.

Getting Ready for the Future: Can You Spot a Fake?

The more I read about tools like Midjourney and other AI driven methods for creating art and images, the more concerned I get about what’s coming at us as humans. We’re going to be overwhelmed – eventually – with visuals, audio and video that we can’t trust. And, we’re not going to be able to discern the real/true from the fakes, the “good faith” images and the rest.

You can see humans working together in articles like this one to determine that a popular image is, they argue, fraudulent. In this case, it’s just sort of a mild annoyance: A cool photo turns out to be manipulated, and the “artist” seems to be fake, too. You just have to scroll through this essay to see how much time went into analyzing this photo set, looking at shadows, and pixels and clear mistakes. Hours and hours and hours were invested in this project.

On the other hand, a content farm is creating SEO chum focused on using Midjourney to create “art”. These tools are toys now, generating illustrations mainly. But they’re getting more powerful every week, and photo-realistic images and videos are already out there. As the access to these tools increases, hobbyists will unload their work on all of us. Will any of us be able to spot the fake “art” anymore? Will it matter? How will we deal with AI generated images in “journalism”?

November in my Soul & Driving Off the Spleen

Whenever I find myself growing grim about the mouth; whenever it is a damp, drizzly November in my soul; whenever I find myself involuntarily pausing before coffin warehouses, and bringing up the rear of every funeral I meet; and especially whenever my hypos get such an upper hand of me, that it requires a strong moral principle to prevent me from deliberately stepping into the street, and methodically knocking people’s hats off—then, I account it high time to get to sea as soon as I can. This is my substitute for pistol and ball. With a philosophical flourish Cato throws himself upon his sword; I quietly take to the ship.

Source: The Project Gutenberg eBook of Moby Dick; Or the Whale, by Herman Melville

YouOS: Time for 2023 Planning

I’m a big fan of EOS (or “Traction”) for those who run small businesses. It’s a straightforward, relatively easy to follow methodology for running your business. As someone prone to overthinking things in an effort to “get it right”, the tools in EOS force simplicity wherever possible.

One of the key steps in the EOS methodology is doing some annual planning, to get ready for the next year and start putting the operating plan into place. And, more specifically, to set some targets for what you want to achieve.

Late October/November is typically the time of the year that EOS businesses go offsite for their annual planning retreat, so it’s also the time that I like to starting thinking about what my own year ahead might look like.

For the last three or four years, i’ve been doing a personal version of the annual plan, It looks something like this:

  • Reflect back on the year overall: Articulate the the biggest wins, professionally and personally. Articulate some misses. I use the the “I like, I wish, I wonder” method I learned from Hyper Island.
  • Financials: Look at the numbers, and make a clear eyed assessment of whether I hit the target or not. The money isn’t really the point. the point is whether I accomplished what I hoped to accomplish or not.
  • Values Check: I review my personal values and reflect on whether they’ve changed or not (or how much) over the last year or so
  • 10 Year, 3 year Vision – I review my own version of where I hope to be in 10 years and 3 years. I re-read the narrative “from the future”, the story I want to bring to life in 3 and 10 years. I edit/adjust as necessary
  • 1 Year plan – I map out the plan for the next year, and focus on 3-5 priorities, the things I want to accomplish. I typically start by doing the Playing Field method I learned from my days at GoKart Labs (RIP). Then, i narrow down the options and pick the 3-5 things I really want to deliver on. I try to make them as specific as I can, so it’s easy to see whether they got “done”.
  • My own personal development plan – Then, i build out two or three specific things I want to work on in the next year. I like to focus on “thinking” and “doing”. For instance, in 2022, my “thinking” priorities were to 1) work on being mindful over the course of the day and 2) being aware of when I was confused/uncertain over the course of the day. The “doing” focus was about taking better notes when I’m reading, meeting, or working, so i’ve got a record of my decisions and choices.

This is by no means a bulletproof process and so far the results are mixed about whether it’s really helping me or not. But, I am trusting the process here and trying hard not to out-think what works for so many others.

Knowing What Good Looks Like and Why

I’ve been talking to a lot of mid-career folks about what they should do next with their work. Some are on sabbatical, some are coming to the end of one phase of their careers and starting another. Some just want to change jobs.

As I listen to them talk about what opportunities they might pursue or where they might go next, I listen for clues to their assumptions and what they are seeking.

Over time, I’ve built a pretty good sense of the patterns for people who successfully move from one stage to another. Someday, I’ll write up a more detailed list of what I see, but I recently read an essay that resonated.

The people that have cultivated taste and an eye for quality tend to do better in transitions like a job change. It seems weird, but I think it’s true. Its not a flair for design or an appreciation for cool visuals. It’s the ability to understand why something is good or “better” and be able to explain it.

Rossi gets at this in his essay about how to develop and grow your career:

If great taste is knowing what’s good, and great skill is knowing how to build things, there is a third element that I have consistently found in the most experienced people I have known.They do not only know what is good — they also know exactly why.

They know what makes good things good.

When I’m talking with folks or when I’m interviewing someone, I ask questions that get their ability to know and explain why something is superior. We typically (as a culture) don’t like to make judgements about people, but we often make judgements about stuff. So, I try to get at whether someone can explain what makes a thing – an app, a brand, a platform, a writer – better. Not just why its utility is good, but why its design/experience is better.

If you can spot “good” or “better” or “best” out in the world, if you can explain the differences to someone, that’s a skill. That’s taste. Thats discernment. And that ability will help you make higher confidence choices about what do next when it’s time to change.

 

The Synthetic, Infinite Conversation

My whole life I’ve been a tech optimist. I’ve always believed that, over time, culture and society improve when the tools for learning, understanding, doing and making, improve.

I’m not an optimist about synthetic, AI driven “content”. I’m very worried about the long-term cultural and societal impact of a never-ending stream of stuff to put into our eyes, ears, and bodies. When visuals, words, sounds and, soon, code and digital tools are being generated by algorithms, our attention will be frayed even more. We humans won’t be able to make meaning out the world because the inputs won’t be real.

This project is a harbinger of what’s to come. It’s a toy of sorts, a provocative example of the synthetic content stream we’re going to be swimming in over the next 10 years. It sounds sort of real. The words almost makes sense, but the “uncanny valley” effect might trigger careful listeners to understand this is fake.

For those of us who have lived through this first era of digital (i.e. from the late 90’s to now), what’s our responsibility to try to warn the rest of the culture about what’s coming at us? It’s going to seem fun at first, but then it’s going to be hell . Is it too late?

 

Source: The Infinite Conversation