Monthly Archives: August 2024

Riffing on the world through Ideogram

AI/ML

I’ve been having a ball using the new Ideogram app for iOS to import photos & remix them into new creations. This is possible via their web UI as well, but there’s something extra magical about the immediacy of capture & remix. Check out a couple quick explorations I did while out with the kids, starting from a ballcap & the fuel tank of an old motorcycle:

AI news flash: People prefer paying for things that are actually good

AI/ML

I love this level of transparency from the folks behind Photo AI. Developer @levelsio reports,

[Flux] made Photo AI finally good enough overnight to be actually used by people and be satisfied with the results… it’s more expensive [than SD] but worth it because the photos are way way better… Not sure about profitability but with SD it was about 85% profit. With Flux def less maybe 65%… Very unplanned and grateful the foundational models got better.

We’re arguably in something of a trough of disillusionment in the AI-art hype cycle, but this kind of progress gives reason for hope: more quality & more utility do translate into more sustainable value—and there’s every reason to think that things will only improve from here.

Generative AI: Nuance > Sanctimony

AI/ML, Shit That Actually Matters

Listen, I know that it’s a lot more seductive & cathartic to say “I f*cking hate generative AI,” and you can get 90,000+ likes for doing so, but—believe it or not—thoughtfulness & nuance actually matter. That is, how one uses generative tech can have very different implications for the creative community.

It’s therefore important to evaluate a range of risk/reward scenarios: What’s unambiguously useful & low-risk, vs. what’s an inducement to ripping people off, and what lies in the middle?

I see a continuum like this (click/tap to see larger):

None of this will draw any attention or generate much conversation—at least if my attempts to engage people on Twitter are any indication—but it’s the kind of thing actual toolmakers must engage with if we’re to make progress together. And so, back to work.

PS—This, always this:

Reinterpreting classic instrument clusters in the age of CarPlay

Design, User Interface

“Tell me about a product you hate that you use regularly.” I asked this question of hundreds of Google PM candidates I interviewed, and it was always a great bozo detector. Most people don’t have much of an answer—no real passion or perspective. I want to know not just what sucks, but why it sucks.

If I were asked the same question, I’d immediately say “Every car infotainment system ever made.” As Tolstoy might say, “Each one is unhappy in its own way.” The most interesting thing, I think, isn’t just to talk about the crappy mismatched & competing experiences, but rather about why every system I’ve ever used sucks. The answer can’t be “Every person at every company is a moron”—so what is it?

So much comes down to the structure of the industry, with hardware & software being made by a mishmash of corporate frenemies, all contending with a soup of regulations, risk aversion (one recall can destroy the profitability of a whole product line), and surprisingly bargain-bin electronics.

Despite all that, talented folks continue to fight the good fight, and I enjoyed John LePore’s speculative designs that reinterpret the instrument clusters of classic cars (from Corvettes to DeLoreans) through Apple’s latest CarPlay framework:

Ahnuld’s Fables

AI/ML

My friend Nathan has fed a mix of Schwarzenegger photos & drawings from Aesop’s Fables into the new open-source Flux model, creating a rad woodcut style. That’s interesting enough on its own—but it’s so 24 hours ago, and thus he’s now taken to animating the results. Check out the thread below for details:

Pixel 9 adds on-device image generation

AI/ML, Mobile

It’s wild that capabilities that blew our minds two years ago—for which I & others spent months on a waiting list for DALL•E, which demanded beefy servers to run—are now available (only better) running in your pocket, on your telephone. Check out the latest from Google:

Pixel Studio is a first-of-its-kind image generator. So now you can bring all ideas to life from scratch, right on your phone — a true creative canvas.9

It’s powered by combining an on-device diffusion model running on Tensor G4 and our Imagen 3 text-to-image model in the cloud. With a UI optimized for easy prompting, style changes and editing, you can quickly bring your ideas to conversations with friends and family.

Days of Miracles & Wonder, as always…

Google Pixel introduces an interactive “Add Me” feature

AI/ML, Google Photos

Back when I worked on Google Photos, and especially later when I worked in Research, I really wanted to ship a camera mode that would help ensure great group photos. Prior to the user pressing the capture button, it would observe the incoming video stream, notice when it had at least one instance of each face smiling with their eyes open, and then knit together a single image in which everyone looked good.

Of course, the idea was hardly new: I’d done the same thing manually with my own wedding photos back in 2005, and in 2013 Google+ introduced “AutoAwesome Smile” to select good expressions across images & merge them into a single shot. It was a great feature, though sadly the only time people noticed its existence is when it failed in often hilarious “AutoAwful” ways (turning your baby or dog into, say, a two-nosed Picasso). My idea was meant to improve on this by not requiring multiple photos, and of course by suppressing unwanted hilarity.

Anyway, Googlers gonna Google, and now the Pixel team has introduced an interactive mode that helps you capture & merge two shots—the first one of a group, and the second of the photographer who took the first. Check out Marques Brownlee’s 1-minute demo:

For more details, check out his full review of Google’s new devices.

That’s all well and good—but wake me when they decide to bring back David Hasselhoff photobombs:

 

Uizard & the future of AI-assisted design

AI/ML, Design

Uizard (“Wizard”), which was recently acquired by Miro, has rolled out Autodesigner 2.0:

We take the intuitive conversational flow of ChatGPT and merge it with Uizard generative UI capabilities and drag-and-drop editor, to provide you with an intuitive UI design generator. You can turn a couple of ideas into a digital product design concept in a flash!

I’m really curious to see how the application of LLMs & conversational AI reshapes the design process, from ideation & collaboration to execution, deployment, and learning—and I’d love to hear your thoughts! Meanwhile here’s a very concise look at how Autodesigner works:

And if that piques your interest, here’s a more in-depth look:

A little birthday lunacy

Miscellaneous

I fondly recall Andy Samberg saying years ago that they’d sometimes cook up a sketch that would air at the absolute tail end of Saturday Night Live, be seen by almost no one, and be gotten by far fewer still—and yet for, like, 10,000 kids, it would become their favorite thing ever.

Given that it was just my birthday, I’ve dug up such an old… gem (?). This is why I’ve spent the last ~25 years hearing Jack Black belting out “Ha-ppy Birth-DAYYY!!” Enjoy (?!).

“Top Billing,” huge egos, and the art of title design

Design

99% Invisible is back at it, uncovering hidden but fascinating bits of design in action. This time around it’s concerned with the art of movie title & poster design—specifically with how to deal with actors who insist on being top billed. In the case of the otherwise forgotten movie Outrageous Fortune:

Two different prints of the movie were made, one listing Shelley Long’s name first and the other listing Bette Midler’s name first. Not only that, two different covers to take-home products (LaserDisc and VHS) were also made, with different names first. The art was mirrored, so that the names aligned with the actors images.

One interesting pattern that’s emerged is to place one actor’s name in the lower left & another in the upper right—thus deliberately conflicting with normal reading order in English:

Anyway, as always with this show, just trust me—the subject is way more interesting than you might think.

Throwback: “Behind the scenes with Olympians & Google’s AR ‘Scan Van'”

3D, AR/VR

I’m old enough to remember 2020, when we sincerely (?) thought that everyone would be excited to put 3D-scanned virtual Olympians onto their coffee tables… or something. (Hey, it was fun while it lasted! And it temporarily kept a bunch of graphics nerds from having to slink back to the sweatshop grind of video game development.)

Anyway, here’s a look back to what Google was doing around augmented reality and the 2020 (’21) Olympics:

I swear I spent half of last summer staring at tiny 3D Naomi Osaka volleying shots on my desktop. I remain jealous of my former teammates who got to work with these athletes (and before them, folks like Donald Glover as Childish Gambino), even though doing so meant dealing with a million Covid safety protocols. Here’s a quick look at how they captured folks flexing & flying through space:

 
 
 
 
 
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[Via Chikezie Ejiasi]