sangsara.net

Tag: Generative AI

  • Week 15.24

    Week 15.24

    It was Hari Raya Puasa here on Wednesday, which, along with the city’s oppressively hot and humid weather, left those of us who don’t celebrate the holiday feeling somewhat unsatisfied upon returning to work on Thursday. More than one person slipped and called it a Monday, or asked how the weekend was. So instead of a four-day workweek, it felt like two weeks in one.

    Perhaps the depressed mood was justified. Earlier in the week, tragedy struck a colleague who lost their father to a heart attack — a feeling all too familiar within our team as the same thing happened to another young designer just over a year ago. And you may recall just 9 weeks ago, another friend lost their dad too. At the same time, my thoughts have been occupied by a family friend, virtually family, currently recovering from surgery with an as-yet-unquantified cancer running loose in her body.

    I’m tired, but feeling better about the recent decision to make room for more important things than my current work. I came across this poem about mortality that captures the suddenness of loss and how we take everything for granted: If You Knew, by Ellen Bass. I was also reminded of this Zen concept that a glass always exists in two states, whole and broken, while reading responses to a tweet asking for “sentences that will change your life immediately upon reading”.

    Hitting the books

    Speaking of reading, I picked up Isle McElroy’s People Collide again after months of sipping its beautiful phrases through a tiny time straw, finishing it quickly. It’s the best thing I’ve read in many months; a profound questioning of what it means to be a particular person in a specific body, and how much of you makes up who you are to everyone else. At its core it’s a Freaky Friday body swap story. I don’t know if it’s because McElroy is trans that these perspectives and insights are so tangible, but I felt them. Even though the story didn’t go where I wanted at all, I gave it five stars on Goodreads because the final page is a triumph. I had to fight back tears of admiration while reading it on the bus.

    Right after that, the book train was rolling again and I read After Steve: How Apple Became a Trillion-Dollar Company and Lost Its Soul by Tripp Mickle, which had some inside stories and gossip I’d not heard before, and an interest in how Jony Ive “neglected” his design leadership role in the later years, a story I’ve been interested in hearing. Still, it’s one of those non-fiction narratives that dramatizes and assumes a lot about what its subjects did and felt at key moments, things nobody can know for certain.

    Here it comes, the AI part

    Meanwhile, the Apple Design Team alums who decamped to Humane launched their first product, the “Ai Pin”, to largely middling reviews from tech outlets like The Verge. Quick recap: this is a camera-equipped, voice-enabled wearable you attach to your clothing, letting you access a generative AI assistant so you can ask general questions and take various actions without getting your phone out. In theory.

    Most of its faults seem to stem from issues intrinsic to OpenAI’s GPT models and online services, on which the Pin is completely dependent. It’s a bit tragic for Humane’s clearly talented startup team. I’m inclined to see the hardware as beautiful and an engineering accomplishment, and what parts of the user experience they could customize with the laser projector and prompt design are probably pretty good, but it doesn’t change the fact that the Pin’s brains are borrowed. A company with financial independence and the ability to make its own hardware, software, and AI services would have a better chance. Hmm… is there anyone like that?

    Meanwhile, a new AI music generation tool called Udio launched in public beta this week and I spent some time with it. I’ve only played with AI models that do text, images, and video, but never audio. It’s currently free while in beta and lets you make a generous amount of samples, so there’s no reason not to take a look.

    Basically you describe the song you want with a text prompt, and it spits out a 33-second clip. From there, you can remix or extend the clip by adding more 33-second chunks. It generates everything from the melodies to the lyrics (you can provide some if you want), including all instruments and voices you hear. Is it any good? It’s very impressive, although not every song is a banger yet. Listening to hip-hop instrumentals featured on the home page, I thought to ask for a couple of conscious rap songs and they came out well, with convincing sounding vocals. I then asked it to write a jazzy number about blogging on a weekly basis and you can judge for yourself if the future is here.

    At present, I see this as a fun toy for the not-so-musically inclined like myself, and as an inspiration faucet for amateur songwriters who work faster with a starting point. So, pretty much like what ChatGPT is for everything else. And like ChatGPT, I can see a future where this threatens human livelihoods by being good enough, at the very least disrupting the background music industry.

    Comfort sounds

    One musical suite that stands as a symbol of human ingenuity’s irreplaceability, though, is what I’ve been playing in the background on my HomePods all week while reading and writing: the soundtrack to Animal Crossing New Horizons. Because Nintendo hasn’t made the official tracks available for streaming, I’ve been playing this fantastic album of jazz piano covers by Shin Giwon Piano on Apple Music. It takes me right back to those quiet, cozy house-bound days of the pandemic. Could an AI ever take the place of composers like Kazumi Totaka? I remain hopeful that they won’t.

    Maggie Rogers released her third album, Don’t Forget Me. I put it on for a walk around the neighborhood on Saturday evening and found it’s the kind of country-inflected folk rock album I tend to love. One song in particular, If Now Was Then, triggered my musical pattern recognition and I realized a significant bit sounds very much like the part in Counting Crows’ Sullivan Street where Adam Duritz goes “I’m almost drowning in her sea”. It’s a lovely bit of borrowing that I enjoyed; putting copyright aside, experiencing a nostalgic callback to another song inside a new song is always cool. It’s one of the best things about hip-hop! But why is it okay when a human does it but not when it’s generative AI? I guess we’re back to Buddhism: Everything hangs on intention.

    ===

    Miscellanea

    • I watched more Jujutsu Kaisen despite not being really blown away by it. Mostly I’ve been keen to see the full scene of a clip I saw posted on Twitter, where the fight animation looked more kinetic and inventive than you’d normally expect. I decided that it must have come from Jujutsu Kaisen 0: The Movie, because movies have bigger budgets and the animation in season 1 looked nothing like it. And I had to finish season 1 in order to watch and understand the movie.
    • Well, I saw the movie and it was alright, but it didn’t have that fight scene. So where is it?? That got me watching more episodes of the TV anime, and I don’t think I’ve ever seen a jump in quality like this between two seasons of a show. It seems a new director came on board (maybe more money too), and suddenly the art is cleaner, the camera angles are more striking and unconventional, and everything else went up a notch. I guess I’m watching another 20+ episodes of this then.
    • I finished Netflix’s eight-episode adaptation of Three Body Problem. I’m not invested enough to say I’d definitely watch a second season, assuming they pick it up at all.
    • On that topic, Utada Hikaru released a greatest hits compilation called Science Fiction, with three “new” songs, and 23 other classics either re-recorded, remixed, and/or remastered in Dolby Atmos. I don’t really know these songs in that I have no idea what many are actually about, but I’ve heard them so much over the last 25 years, I probably know them more deeply than most.
  • Week 7.24

    Week 7.24

    We landed in Auckland, New Zealand Monday morning and immediately flew down to Wellington, and we’ve been driving our way back north for the past few days. I’m currently writing this while sitting beside a Buddha’s head in a poolside garden, in a small new hotel outside of Rotorua.

    Four hours ago, I was parasailing above Lake Taupō in my usual urban uniform of jeans and a t-shirt — if you know me, you’ll know that I don’t sign up for even remotely dangerous things, especially over large bodies of water; in the cringey words of Below Deck repeat charter guest, Dean Slover, I said “homie don’t play that!” But Kim convinced me to, and we survived. They played Maroon 5 songs on the boat going out, and so by the time we were lifted some 50 meters in the air to float in blissful silence high above the town, I was having a good time. Lake Taupō is a volcanic caldera that’s nearly the same size as Singapore, but because it’s all flat you can just about see from one end to the other from up there. New Zealand challenges the city dweller’s sense of scale like all good nature vacations.

    Since leaving Wellington, the road trip portion of the trip so far has been mostly measured in burgers, fish and chips, and winery stops, specifically in the Martinborough and Hawke’s Bay areas where the tastings have been revealing of each company’s nature: some overly commercial and strictly scripted, versus others more informal, just going on vibes the only way they know. I think the difference shows up in the wine, with wineries in the latter category being more playful with flavor, more likely to put better stuff in a low-priced lineup. But I would say that, as someone who’s now had a crash course in holding up his glass against the light to observe the color.

    I’m now lying in bed on Sunday evening having just finished the last leg of our driving tour, which took us to the famous Whangamata Beach bordering the Bay of Plenty, and Hunua Falls, where we did another little nature walk and met a nice dog and helped its owners get a photo together with their iPad. Old people really carry full-sized iPads around on hikes to use as large-screened cameras. Mind blown.

    A couple of observations on this road trip. So much roadkill! Easily a hundred little bundles of fur spotted spread across tarmac just today alone. Some decayed and washed away, little more than stains. Some still fresh, bloating, bleeding. We avoided making contact with all but a couple. A ritual evolved, mainly to stay alert but also out of pity for these bunnies or squirrels(?): upon spotting one, I would put my palms together and say “rest in peace”, and Kim would follow with “in all your pieces”.

    FM radio is still not a great experience; it’s a wonder how people survived on it for so long. Fortunately I had a lot of downloaded music on my iPhone, which also navigated us with offline maps. CarPlay is excellent, and Apple Maps was good enough for nearly every leg of the journey. We listened to Lorde’s albums, of course, as well as the Sunkissed Summer playlist she compiled on Apple Music, and other New Zealand legends like Bic Runga and Crowded House. At one point I put on some J Dilla but learnt that rhythmic music you can sort of nod and zone out to is NOT what a driver wants over long winding roads.

    As I mentioned last week, this itinerary was drawn up with ChatGPT and my custom GPT, AI-tinerary, but we had to fact-check everything and plot the route on a map before making bookings. It’s held up well so far, with a couple of impromptu detours and chance discoveries along the way. For one, we did not realize that while passing through Napier for one night that we’d be there for the Art Deco-obsessed city’s annual Art Deco Festival, the first one they’ve been able to hold since 2020. Vintage cars were out in force, there was a Warbirds air show, and a free concert on the beach. It was packed, every restaurant was booked out. We ended up eating dinner out of a food truck by the sea. I asked ChatGPT “what’s happening in Napier tonight?” and it confidently replied, “I couldn’t find any events tonight.” At the risk of sounding like a broken record, these tools truly are starting points and aids right now, and you must resist the idea that they are final answers.

    I’ll post the final version of our itinerary next week when we’re done, in case it helps anyone looking to do the same.

    All photos were taken by either a Ricoh GR III or iPhone 15 Pro Max. The extra 120mm equivalent reach of the iPhone came in very handy, but there’s no beating the image quality of the GR when it comes to landscapes. The light was so good that some photos taken with the Standard color profile, straight to JPEG, were surprisingly “finished” out of the camera. This year’s iPhone still wants to make everything bright and sharp, which fails to capture atmosphere and preserve highlights. I edited photos daily as quickly and lazily as possible, using RNI Films for most of it — at some point they added the ability to save edits on top of original files (non-destructively), which is a key consideration I look for in photo apps. I’ve also started using RAW Power again late in the trip, which is making me want to go back and redo some edits. Maybe on the flight home.

  • Week 3.24

    Week 3.24

    I have come down from last week’s AI overpositivity and retaken control of this week’s update. I don’t know what came over me, especially when it’s so easy to see the issues that this current gen AI fever,this onslaught of enshittification, has yet to unleash. We’re poisoning a well, or maybe an orchard, that many people have spent decades building and many more depend on even if they don’t know it. I had two conversations on Monday, one about the disadvantageous state of jobs for 20-somethings and another about the Apple Vision Pro, and found myself in both of them articulating a deep pessimism that I haven’t been able to shake. Even if you buy into accelerationism, there’s clearly a risk of multi-decade spoilage here that future generations will hate us for.

    On Apple Vision (which is what I think the overall product family is called), I mentioned to Brian that I’ve been seeing a lot of Meta’s Quest 3 TV advertising whenever I tune into programs on the UK’s Channel 4, and how they’ve gone from selling immersive VR experiences with the Quest 2 to AR use cases like learning to play the piano — the same territory that Apple’s staking out. And how it won’t be very long before the Android equivalents of the Vision Pro will gain market share, on account of being several times more affordable, but hoovering up eye movement data revealing customers’ intents, attention, and probably physiological info because none of these other manufacturers will take pains to deny developers access like Apple does. We’ve seen these playbooks before.

    Brian and I have also previously discussed the ability of conversational AI products to deeply profile their users, not just by knowing what you want to know about, but how you think, react, speak, and write — what kind of person you are. A conversational interface with generative AI, trained on large amounts of data, is nothing short of a profiling machine that sees you at a behavioral and psychological level. Combine that with knowledge about what draws your eyes and sets your heart racing, and an ad-supported AR headset with built-in AI assistant is a nightmare product that will inevitably be a hit at $499.

    Thinking of the battles that ethically minded designers will have to fight and probably lose, deep in organizations intent on deploying AR/VR dopamine and AI-powered enterprise doodads without question, is what makes me tired these days.

    Later in the week, Jose shared this update on the Fujitsu postal service software debacle in the UK, a case of irresponsibly deployed technology that literally ruined and ended human lives. And that’s just the legacy stuff without any newfangled AI.

    ===

    • I’m finding the first Slow Horses book to be less enjoyable than I expected, mostly because it feels like I’m just rewatching the first season of the Apple TV+ show, nothing less and nothing more. I sort of expected more side story or entertainment than was possible to film, but it’s a rather straightforward procedural. The TV series might be the rare adaptation that’s on par with its source material, in which case I won’t read the rest after this one and will wait to watch Gary Oldman fart his way through them instead.
    • The second season of Reacher fell into the sequel trap, going for more action, more teamwork, more humor, more repeated catchphrases (this did NOT work), and losing something of its charm in the process. They decided to portray him as a sort of humorless Arnie-type killing machine who doesn’t understand normal people’s thoughts, and that doesn’t seem right to me based on his characterization as an astute detective/observer of human nature in the books. I was also hoping they’d go the Slow Horses route and just make the books in order, but they instead jumped to the 11th novel, Bad Blood and Trouble, for this season. Reading this interview with showrunner Nick Santora though, I got the feeling that making Reacher indefinitely is not something anyone on the team takes for granted, so why not go for broke while the Amazon money is flowing? Still, the thrill of seeing Reacher with his team is a payoff that has to be earned, and it’s not the same if you haven’t seen him wandering America solo for ten seasons beforehand.
    • We’ve started season 3 of True Detective, and I’m really liking some of the things they do with blending the recollections of an old man fighting a fading mind, with the disorientation and terror of his present life; they are literally blended and linked with match cuts and unifying objects — in one flashback a full moon disappears above the detective, and we come back to the present to see a fill light has gone out during the interview, and he’s shaken out of his memories.
    • I’m new to the music of Claud, but their superb album Supermodel would have made one of my lists in 2023.
    • I fired up Lightroom to see what new features they’ve added, and there was a new Denoise tool that seems to use AI to generate missing detail — fine, it’s unavoidable — and AI-powered preset recommendations. With one click, I applied a dramatic preset to an old RAW file which made it extremely noisy, and with another click removed all of it and landed on an incredibly sharp and clean image. I’m a little sad about how hard it is for small indies to compete with Adobe on this stuff. Photomator has an ML-based auto enhance feature that really doesn’t work well, often overexposing and making white balance look worse, whereas the Auto button in Lightroom makes improvements 90% of the time.
  • Week 2.24

    Week 2.24

    This post was partly written by my blog assistant GPT from notes I gave, and partly transcribed by a Whisper-powered dictation app I’m testing, so it’s just dripping with that AI filth (but the human did edit).

    I’ll probably remember this week for feeling like the future finally arrived, thanks to three long-awaited developments taking up headlines.

    1. Apple Vision Pro – The Dawn of Spatial Computing

    • The Apple Vision Pro got its pre-order and launch dates. Sadly, it’s US-only for now, leaving me and many others on the sidelines. It promises to usher in a world where computing isn’t confined to screens and devices, but blends seamlessly with our physical spaces. Along with AI, we may see a new era of interface and interaction design land sooner than expected, alongside new levels of realism and intelligence I don’t think anyone is ready for. But as a sure sign that this early adopter is growing old, I’m feeling surprisingly wary of and unready for such a transition.

    2. A Milestone for Bitcoin: Spot ETFs approved in the US

    • In a historic move, the SEC approved 11 spot Bitcoin ETFs and they began trading on Thursday with a record-breaking amount of volume. Although against the original ethos of decentralization, this is still a big deal which legitimizes the cryptocurrency for audiences who want some exposure but can’t self-custody for some reason. After a decade of anticipation, this decision bridges the digital world with traditional finance, making a fully digital asset accessible through familiar investment channels.

    3. OpenAI GPT Store Finally Launches: A New Playground for AI Enthusiasts

    • As someone who’s been creating custom GPTs with ChatGPT, the launch of the OpenAI GPT Store is particularly interesting. Originally scheduled for last November, it finally went live but hasn’t set my feeds on fire just yet. To make things worse, the promised revenue sharing model won’t start until later, and again, only in the US at first. Still, this could be the App Store for a fast-evolving space. I’ve already seen a few advanced applications on the front page and will be keeping an eye on it.

    These advancements in computing, finance, and AI aren’t just incremental steps; they’re giant leaps in their respective fields. The Apple Vision Pro is set to literally put technology everywhere, the Bitcoin ETFs are proof that a “digital gold” can be taken as seriously as the real thing, and the OpenAI GPT Store shows how generative AI can let anyone become a “developer”. It’s like watching history being made in real-time.

    By the way, I made a fun new GPT called How We Got Here.

    ===

    So I’m watching this show, True Detective, which you may remember from like 10 years ago. The first season starred Matthew McConaughey and it was a huge hit for HBO that I liked a lot.

    But then when the second season came out, before I could get started, a lot of reviews came out calling it like the worst show ever. And even though Rachel McAdams and Colin Farrell were in it, it just wasn’t a hit the way the first one was. So I never got around to watching it.

    And here we are years later and Season FOUR is about to come out today with Jodie Foster and a whole new showrunner/director/writer involved and it’s getting a lot of buzz. People are excited for it.

    That’s when I realized that there was a Season Three, like I didn’t even know that it existed. So now I’m spending my weekend binging seasons two and three to get ready for four.

    Now this is not strictly necessary because every season is a completely new story with its own set of characters, but I just feel like the need to be complete about my True Detective experience.

    If you’re wondering how I have the time for this, it’s because Kim is again away on business, which also means that I can’t watch this week’s episode of Reacher. So I guess we’re going to watch the final two episodes back-to-back next weekend. I can’t believe it’s already over — reading the rest of the books will have to tide me over until next year.

  • How We Got Here

    Reverse engineers images to uncover the chain of events that led to them.

    Available with ChatGPT Plus

    I’ve seen a lot of GPTs that do interesting things with image recognition and DALL•E, like analyzing an image to understand the scene and then recreating it from scratch as a painting.

    But I wanted to do something different, like, “what if we could guess the stories behind the pictures?”. Obviously it’s for laughs, so this GPT is called “How We Got Here” and it theorizes a possible chain of events that took place before the picture to result in what you see. It works for any given scene or an object, but because of OpenAI’s restrictions it will refuse to comment on images of famous people.

    Here’s an example:

    1. A parliament session started with the introduction of a controversial bill: The Mandatory Karaoke Performance Act.
    2. The opposition leader, known for his baritone renditions of “My Way”, vehemently opposes the bill, fearing unfair advantages for tenors.
    3. During the debate, an amendment is proposed: All speeches must be sung to the tune of popular folk songs.
    4. The finance minister, a secret shower-singer, is thrilled and immediately begins to belt out budget allocations in A-minor.
    5. The amendment passes by one vote, thanks to a swing voter who misunderstood the motion, thinking it was about free concert tickets.
    6. The session escalates as a counter-amendment is suggested: All sung speeches must be auto-tuned for fairness.
    7. Chaos ensues when the auto-tune machine malfunctions, making everyone sound like rogue robots.
    8. In a bid to shut down the malfunctioning device, a scramble erupts, with one member accidentally broadcasting his vocal warm-up scales live on national television.
    9. The image captures the exact moment when the tech-savvy intern is summoned to fix the auto-tuner, while the rest try to cover up the incident by looking deeply concerned about fiscal policies.

    Try How We Got Here with your own photos.

  • Cruising For Love

    Can you find your soulmate before the ship returns to shore?

    Play Now with ChatGPT Plus

    After making the sci-fi adventure Chrono Quest, I thought my next GPT game should be all the way in the other direction, so Cruising For Love is a bit of a rom-com dating sim set on a cruise.

    You are on a five-day cruise to try and find romance. You should have a new experience each time you play: new destinations, new activities, new people to meet, and hopefully new breakfast items at the buffet restaurant. You don’t have to tell the game your gender or what kind of person you’re into, but it doesn’t hurt.

    You can simply play it like a choose-your-own-adventure game and pick from the multiple choices given to you at the end of each turn, or take the keyboard and start providing more detail about where you’d like to take things. You can double-time/triple-time, play hard to get, take someone shopping for diamonds, reveal your secret magic skills, or try to seduce the captain. Nearly anything you can dream of, as long as it’s related to finding love.

    You may or may not encounter some surprises along the way, making your successful pursuit of a love interest not exactly a given. So turn on the charm, put your leisure suit on, and start cruising for love!

  • Week 50.23

    Week 50.23

    Christmas is creeping closer, but the Goodreads Challenge angel won’t be darkening my doorstep as I’ve redeemed myself with two weeks to go! James Hogan’s Thrice Upon A Time was the twelfth book of my year, and definitely one of the better ones. It’s a 1980s time travel story where no time travel takes place, but it grapples with ideas about how timelines are rewritten, plus some other global topics that seem quite prescient when read today. Stylistically, it’s aged, but in that classic sci-fi way I love, which takes me back to reading books in the library after school. I think those hours, that precious access back then to a ton of books I couldn’t wait to read, were the part of going to school I looked forward to most. Anyway I’ve started a dumb new book that I should be finishing this year for bonus credit: The Paris Apartment by Lucy Foley.

    If you’re looking for reading material, it may interest you to hear that I somehow managed to finish B’Fast, the AI-generated breakfast zine project I mentioned last week. The InstaZine GPT I made to create the content is also available through the same link (I updated the page with some additional usage tips today). Now that it’s done, I’m planning to make a companion breakfast-themed zine called “B’Fast (Brandon’s Version)” which will be made entirely by me, in a way that an AI presumably would not. But probably not straight away.

    ===

    Earlier this year, Hipstamatic redesigned and relaunched their Hipstamatic X app. The “X” was dropped, and they added a new social feed. It was the official replacement for their original app which became Hipstamatic Classic. Where the original was funded by in-app purchases for new filters (at a pace of roughly one new 99c release each month), the new Hipstamatic charges a $30/year subscription, doubling their income from faithful fans.

    I used the new app for some photos during my trip to Japan and mostly enjoyed the experience, but it was too buggy and the UI was still too cluttered and confusing (a longstanding problem with the original Hipstamatic app as well) for me to consider continuing with a paid subscription.

    Their main problem is that there are now over 300 filters in the forms of “films” and “lenses” and “flashes” that you can combine to make infinite looks, and no good way to make the attractive human-curated combinations they recommend accessible and discoverable. In the last version, they tried to give a few of these combinations the tangible metaphor of being unique “cameras”, each one with a different skeuomorphic body you picked off a shelf, but essentially they were presets you could call up. But you can keep, what, ten of these aside in a little drawer before you couldn’t tell them apart? And so many of the other combinations were left out of sight and out of mind.

    Now, after a week of teasing social media posts, wherein a “physical camera” was shown in videos — quite obviously a 3D model rendered in AR, but some people believed they were going to release a hardware product anyway — they’ve released a major update (v10) that tries to untangle the Gordian knot of their UX issues.

    In this new version, they’ve tried to marry what worked in the original app with a new info architecture and set of metaphors to manage the library of looks they’ve accumulated over the last 14 years. You get just ONE skeuomorphic camera to call your own and customize the look of, and this camera is capable of loading up many presets. You can either let the camera detect the scene and choose a suitable preset for it (Auto mode), or specify the preset yourself (Manual mode). There are 9 possible scenes, such as Travel, People, and Still Life, but in a puzzling and unfortunate move, when you start using the app, each of these scenes has just one or two associated presets. That means you’re going to see the same looks over and over, when there are over a hundred more hidden away in a long list. This was presumably done to allow you, the user, to customize your experience and assign your favorite presets to the scenes.

    There are two major problems at this point. One: leaving it up to the user to gain their own understanding of all the pre-existing “good combos” and assign them to 9 scene categories is insane. It’s a lot of work to hand off to a customer you hope will pay you money. The team should be doing the work of tagging each preset combo with a recommended use case, AND making it easy to assign them. It’s not currently easy. I had to move back and forth between two sections of the app looking at presets and memorizing their names to go assign to a scene, because these things aren’t placed together. Off the top of my head, it just needs an in-line list of suggested presets (from the aforementioned tagging exercise) on the same screen where you customize a scene’s presets. Perhaps this is coming. I’d argue it should have been in the MVP release of such a big redesign.

    Two: as I mentioned, there are infinite possible presets given the number of ingredients they’ve accumulated. You can make your own combos, but there’s no great way to experiment and do this — there should be a sandbox where you can explore each lens/film/flash’s characteristics and try them out in real time to find a good combo. There used to be a section of the app called the “Hipstamatic Supply Catalog” where you could browse all these effects (it was only like a static magazine, but they could have made it interactive), and this now seems to be gone or I can’t find it anymore in the maze of menus and buttons. Perhaps they’re okay with most users just using the curated “good presets” and never making their own, but it seems like a missed opportunity.

    I was feeling a mix of optimistic and bored, so I paid for an annual subscription anyway and will be trying to take lots of everyday silly snaps with this, and maybe even use it on my upcoming trip to Thailand. But if you know someone who works at Hipstamatic, please talk to them about taking on some external advice.

    ===

    • I finished watching Pluto on Netflix. It’s still a strong recommendation for me; a modern anime made with classic sensibilities and a story that really keeps you guessing. It’s also a very different Astro Boy story, suitable for people who hear “Astro Boy” and think it’s stuff for kids.
    • We started watching A Murder at the End of the World and I’m really liking it so far. Especially its star, Emma Corrin, who I’ve never seen in anything else before. They’ve got the most strikingly similar face to Jodie Foster, I was sure they were related.
    • New playlist! BLixTape #3 is done, made up of mostly new songs that I’ve been listening to since mid-October. Add it here on Apple Music.

  • Zine: B’Fast

    I mentioned last week that I’d started making a zine about breakfast using AI tools to write all the text and make the pictures, leaving the final job of laying it out to my own (inexperienced) human hands.

    Well, here it is. It was a lot of fun to put together, and I got a crash course in print design while trying to evolve it from a word processor document into something a little more creative and fun. You can sort of see the gradual improvement from beginning to end, as things become a little neater and more coherent — much like the mind in the morning as you make your way through breakfast.

    I’d say the final content is 98% AI generated; I made some cuts and changed just a handful of specific phrases: in one place to avoid possible offense, and most of the others were in a poem at the end, to make it suck less.

    I did it with the help of my custom GPT: InstaZine, which I encourage you to check out if you want to do something like this. It will brainstorm a bunch of different article ideas for your approval, then write them in a range of different authorial voices, hopefully giving the final product more diversity and interest than if you just did it the normal way with ChatGPT.

    You can read the zine below in the embedded Issuu viewer, or download the PDF. Let me know how you like it!

    bfast-compressedDownload

    Some additional tips for using InstaZine: Start by telling it what the subject of the zine should be, and describe what it should be like if you know. Ask it to create a list of article ideas — it should suggest a bunch of titles with a short abstract of each one, usually with a fictional author’s name and some description of the style and approach it will take. If you’re happy with this list, you should copy it off to the side in your own notes and play these descriptions back to the GPT before asking it to write each one. The reason is… the context window still isn’t great with ChatGPT as of Dec 2023, and it won’t necessarily do a great job if you don’t remind it of the brief after 20 messages of writing other articles and generating the images for them. By default, it creates colorful minimalist illustrations suited for a certain kind of magazine I like, but you should override this with whatever style you want.