Marketing BS Briefing: AI or Not Edition
This newsletter is called “Marketing BS” with a mission to focus on things many marketers get wrong. I believe I have kept that focus in my essays, but last weekend a a good friend asked why I was covering AI so much in my briefings. There are three answers to that question:
There have been many ideas that have been overhyped in marketing. I tend to be early on throwing cold water on these ideas. “big data”, “personalization”, “customer loyalty” were all big distractions. Once you notice this pattern is it easy to poo-poo any new technology that comes along. But sometimes a fancy new thing WILL change everything. I think AI is one of those things.
Most marketers I have spoken to who are not regular readers do not even have aided recognition of “GPT-3”. They “hype” around AI is just not among most of the marketing profession. I think that is a mistake.
I personally find it fascinating. And a big part of this newsletter is just writing about things that are the intersection of (1) my expertise; and (2) my interests. I am by no means an AI expert, but very few people are these days, so I think I have “permission” to at least share what I am finding with other marketers
With that out of the way, this briefing is a bit AI-heavy. This was meant to be an essay week, but it was shifted to a briefing when I realized the essay was not quite ready. Hopefully next week will see Part 2 of the “Don’t Trust Your Gut” review. And then I will have two weeks of potentially more-marketing-focused, non-AI content. Meanwhile, check out the “AI-or-not quiz” and let me know how you did in the comments.
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Marketing
Roblox: The gaming platform is launching an ad network. Roblox has eyeballs. The challenge will be finding ad units that work with their game formats. A lot of other gaming (and metaverse) companies will be watching - and copying. They plan to launch with “immersive” ads (which suggests to me high priced brand ads that will not work for performance marketers). They also say they will not show ads to users under 13 - so if you want to avoid ads in your games you should go and find some fake ID now… More details here on things like virtual billboards that will be dropped into games.
Reviews and short term feedback: C. Thi Nguyen argues that the internet is giving far more short loop feedback than ever before - which is leading to more and more experiences being optimized for that short term feedback. Products need to be delivered quickly and work for the first few weeks (short review feedback), but don’t need to last years (long term feedback). On the margin it is now more important that food look good (when shared on instagram) than taste good. Worth reading the entire review that explores things like knives, board games, fast fashion and more. As a marketer we need to be aware of the short term, but there are huge arbitrage opportunities for going after the long term when your competitors are not.
Merch Fail: NFL’s newly branded “Washington [DC] Commanders” were selling branded coffee mugs with an outline of Washington State. This is what happens when you try to scale things and outsource “thinking” to a third party or junior employee.
AI
AI Progress: Text-to-image generators are pretty terrible at placing objects in specified context (i.e., a red box on a yellow pyramid next to a red sphere will get you something, but nothing close to what you asked for). Scott Alexander of Astral Codex Ten made a bet a few weeks ago that this problem will be solved with more sophisticated models within three years. Now, a few months later he has already won his bet. He tested context prompts that failed with Dall-e2 with Google Imagen, Google PARTI, MidJourney and StableDiffusion and while most still failed, Imagen succeeded at about a 60% rate. (Note: Imagen still does not allow any images with humans for “safety reasons”. But I expect something like StableDiffusion will have Imagen’s capabilities within a year).
AI Video Generation: I am pretty sure this video is a combination of lies and misrepresentations. AI tech cannot do this yet. But it is coming faster than we think.
AI unbundling: A good Ben Thompson article (free). He describes the content publication value chain as: Creation (idea), Substantiation (execution), Duplication, Distribution, Consumption. He argues that the internet brought the cost of duplication and distribution to (effectively) zero. This hurt the newspaper empires that had previously had monopolies in that part of the chain. Now he says AI is disrupting the “substantiation” part of the chain. Until now after you had an idea, you needed to actually spend the time writing the idea now (or painting/drawing the image in your head). Now AI will do that step for you - and it is getting better all the time. Soon you will just need to come up with the rough idea and the AI can generate it for you for the cost of pennies. This will have a similar effect to when the cost of distribution went to zero: Supply will go up, and competition will go up. The issue here is that for many people thinking and writing are one and the same. I know my the thoughts of my essays take form as I write them. Here is Paul Graham on “Having good ideas is most of writing well”; “Writing doesn't just communicate ideas; it generates them”; and “You know that putting your ideas into words changed them”. Having an AI (or a ghost writer) take your thoughts and ideas and put them into words is not the same as writing them yourself. At least not for most great writers. But perhaps it IS for some people - and AI is going to help those people at the expense of the greatest writers today (without AI). ALSO: Tyler Cowen on his predictions on the impact of AI
How AI Content Generation Works: Jon Stokes presents a non-technical primer to understand how AI models work, which will help when you are crafting your prompts. Related: This post explains specifically how image generation is done.
GPT3 + Python Interpreter: Sergey Karayev has written a tool that gets GPT-3 to write Python code and then execute it to do things like (1) do exact math, (2) make API requests, (3) Answer questions by crawling the web.
AI or Not?: Michael Trazzi has created a quiz on Twitter where you can try and guess which images were created with AI and which were created by a human (based on the same prompts). As cool as this tech is I was still able to get most right. If you do the quiz, do me a favor and comment on this post with your success rate (And see the postscript below for some hints on how one can guess when an image is made from AI)
DeathChatBots: A funeral creates a chatbot trained on the writings of the diseased to allow guests to chat with “her”. This is pretty creepy now, and likely not very good. But it will get better and more normalized.
Stable Diffusion: A nice summary of some of the things that have been built on top of Stable Diffusion in the first week of release.
AI Art critic: Last week people were flipping out that someone won an art competition with art created with MidJourney. @jdragsky tries to take the AI art seriously and critiques it as a piece of art.
Prompt tricks: A thread on how to get better at writing text-to-image prompts. (1) Start with a list of great proven prompts, (2) break up the prompts into keywords, (3) randomly recombine the keywords and see what happens. Random-seeming series of words gets you output like this: "memories of their arms and cybernetic symbiosis, 3d render, a massive glass museum, full of thousands photorealistic, volumetric lighting, octane render"
Careers
Degree Premium: 2014 article from the Economist that came to my attention this week that showed that sex workers with college degrees earned 31% more than non-college sex workers. This is NOT due to higher rates per hour, but rather from longer encounters which results in less down time and higher payment per sex act. College educated workers also tend to service older clients which means fewer risky encounters.
Career Advice: Derek Thompson from The Atlantic has some career advice:
Don't take the job you want to *tell* people you do. Take the job you want to do
Life is roughly 4,000 weeks long. Your career is 80,000 hours, or, sequentially, roughly 500 total lived weeks; or one-eighth of life. That's too big a thing to not take seriously and too small to take too seriously
Explore, then exploit
Be more honest with yourself about how much professional success matters to you. Career ambition is a universal virtue. It's more like a taste that varies among people. That's okay. If it's your taste, own it without judgment or self-deception
Search for a career with “Flow”. We feel happiest when our “body or mind is stretched to its limits in a VOLUNTARY effort to accomplish something DIFFICULT and WORTHWHILE
Remote Work: I have generally argued that remote work is more productive for standardized, individual tasks, but less good for creative and group activities (or for learning from people around you). But Paras Chopra makes a good point here:
Work from home: Union members of NYT and NBC News digital teams are refusing to come back into the office.
Fun
Flipping:
Keep it simple,
Edward
P.S. Tips for telling when an image is made by an AI:
Weird artifacts: blurry things. Random small shapes. Things out of place
Human faces: AI still isn’t great and/or the tools have safety limits that prevent fully realistic faces
Composition: Just as text AIs can’t rhyme, image AIs are still missing the ability to look at the whole image to see if it is beautiful
Reflections and shadows: AIs don’t really understand physics or optics, so they often get this type of stuff wrong