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.
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- 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.
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