If you last checked in on AI image makers a month ago & thought “that is a fun toy, but is far from useful…” Well, in just the last week or so two of the major AI systems updated.
You can now generate a solid image in one try. For example, “otter on a plane using wifi” 1st try:
This is what you got a month ago with the same prompt. (MidJourney v3 vs. v4)
This is a classic case of disruptive technology, in the original Clay Christensen sense 👇
A less capable technology is developing faster than a stable dominant technology (human illustration), and starting to be able to handle more use cases. Except it is happening very quickly
Seriously, everyone whose job touches on writing, images, video, or music should realize that the pace of improvement here is very fast & also, unlike other areas of AI, like robotics, there are not any obvious barriers to improvement.
Also worth looking at the details in the admittedly goofy otter pictures: the lighting looks correct (even streaming through the windows), everything is placed correctly, including the drink, the composition is varied, etc.
And this is without any attempts to refine the prompts.
Some more, again all first attempts with no effort to revise:
🦦 Otters fighting a medieval duel
🦦Otter physicist lamenting the invention of the atomic bomb
🦦Otter inventing the airplane in 1905
🦦Otters playing chess in the fall
(These AIs just came out just a few months ago)
AI image generation can now beat the Lovelace Test, a Turing Test, but for creativity. It challenges AI to equal humans under constrained creativity.
Illustrating “an otter making pizza in Ancient Rome” in a novel, interesting way & as well as an average human is a clear pass!
And I picked otters randomly for fun
But since some comments are pointing out that nonhuman scenes may be easier; here are some of the prompt “doctor on a plane using wifi” - we are good at picking out flaws with illustrations of people, but they are impressive & improving fast.
People keep asking what system I was using: it is MidJourney (I mentioned this in the thread)
If you want to try it, you get 25 uses for free & a guide is below. Be sure to use —v4 at the end of your prompt to use the latest version, which is the one I use throughout the thread.
Here👇 is a thread with more comparisons between MidJourney a month or so ago, compared to MidJourney now. The pace is fast!
If you are trying MidJourney, the way to use the new version is to add --v 4 to the end of your prompt (I have no association with it or any AI company)
Reminder: if you want to use the new MidJourney version 4, rather than the old (from a month ago!) version add “ --v 4” to the end of the prompt. The spaces are vital
Interestingly, version 4 “just works” making it easier for everyone but power users who learned to craft prompts
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Reminders about how to stay sane on Twitter: 1) You don't have to weigh in on anything you don't want to (or don't know anything about) 2) You should block more 3) You don't need to share your real life 4) Delete a lot of drafts 5) You can delete tweets people take the wrong way
6) Don't be a jerk. Think twice before quote-tweeting to dunk on people 7) Emotional contagion online has support in the academic literature. You don't need to keep the chain of bad feelings going 8) Twitter people do not represent real-life views, don't take it too seriously
9) Either be very trigger-happy to curate your For You page or stick to your Following page. Algorithms optimize for engagement. Things that make you mad engage you, and then you will be shown more things that make you mad 10) You cannot judge real-life consensus based on Twitter
Write me a corporate memo covering the following points, integrating them together in a good way:
-Forgive me for the murder I committed
-We will hit quarterly steel crumpet goals
-The fish people are here to evaluate our offer. Make sure to speak to them only in fish. Include some fish people sayings
-Do not touch the vortex in the break room. Explain why. -We have pivoted from a NFT company to an artisanal pickle shop. Give details about their similarities.
-Anyone not acknowledging Pluto is a planet will be fired. There will be a series of tests.
The legal and PR teams have asked you to walk everything back (even though everything that happened was real, and everyone knows its real), each point for a different reason, write that memo make the excuses elaborate and obviously transparent and over-the-top.
the floor is now lava, explain why, give new procedures, spin it positively. its actual lava. not fake, not a joke. lava.
(OMG, it has it in for Steve, hilariously, see the last memo)
So how is Runway AI able to model fluid dynamics reasonably well?
The prompt: "A highly detailed portrait of a marble eagle with honey oozing down. Cinematic, highly detailed, film grade."
It isn't perfect (the viscosity seems to change a bit, etc), but why does it work at all?
This is going to be one of those posts where the reactions are divided between "this isn't anywhere as good as you could get with a physics model of fluid over a surface" & people who say "wait, how does a text-to-image model have anything like consistent physics for new scenes"
That prompt: "overhead shot: Two pirate ships sailing back and forth in a cup of coffee in a storm. Cinematic, highly detailed, film grade."
The Civ series is sort of like Ender’s Game, but for management rather than murdering aliens. Business school students who were good at Civ V also turn out to be better planners, organizers, and problem-solvers, in this small experiment.
Other games work as effective tests of fluid intelligence:
⌨️Performance in MOBAs like League of Legends and Dota correlates with intelligence
🎮Performance in FPSs like Battlefield, Destiny, and (likely) Fortnite don't show the same pattern
This qualitative research paper argued that the the skills of a raid leader in World of Warcraft & MMOGs work for offline leadership skills as well. Good guild leaders make good real leaders.
AI detectors have high flaw positives & teacher intuition seems to work even worse: “Here we show in two experimental studies that novice and experienced teachers could not identify texts generated by ChatGPT among student-written texts.”
Probably the most consequential technology that should have been “obvious” but wasn’t:
🌾The moldboard plow. As this excerpt from Mann's 1491 shows, it was a simple idea which China had for nearly 2k years before Europe! It was basically a prerequisite for the Enlightenment.
The invention of the moldboard plow in Europe was at least a millennia closer to the invention of the iPhone than it was to the invention of the moldboard plow in China!
Plus:
🚲The wheel was invented surprisingly late & maybe only once (as anything other than a toy). It came after sailboats & harps, and was not used at all in the Americas
🐴And the horse collar, a simple invention that sped up plowing by 50%, wasn't common in Europe until 1000