It’s Lowtime — Observations on Apple’s September event

Tech Life

No, the title is not a typo. It’s me using wordplay to condense my impressions of Apple’s It’s Glowtime event of September 9 in just one word.

You’ll find very little here in terms of tech specs or feature breakdowns. You can find this kind of information in many other sites, starting from Apple’s own site. My impressions and observations are of a more general nature and, spoiler alert, are admittedly affected by the undercurrent of disappointment I’ve been feeling about Apple for a while.

The first thing that I found off-putting was the event format itself. Not because of something that stood out compared to other events of this kind, but precisely because it was the same pre-recorded and pre-packaged stuff Apple has been delivering since COVID hit four years ago. I miss Apple events with a live audience. On the one hand, they were more ‘static’ because everyone was in the same place, on the other they were also a bit more memorable and with a bit more character. Ever since Apple switched to this pre-packaged delivery format, the novelty has worn down quickly and these events all look like sophisticated PowerPoint presentations and, worse, they all look alike. When I try to isolate one from the last dozen I’ve watched, I can’t. They’re all a blur. If you ask me, “Remember the launch of the Apple Watch?”, I’ll tell you, “Oh yeah, I do!”. If you ask me, “Remember when Jobs announced the switch to Intel processors?”, I can still picture in my head some of the slides that were used. If you ask me to remember something about an iPhone event since the launch of the iPhone 11, my mind draws a blank. iPhone 11, 12, 13, 14, 15, 16… Yeah, nothing.

The structure and schedule of these events has progressively fossilised, too. Classic opening with a self-congratulatory video with the not-so-subtle message that ‘Apple saves lives’? Check. Tim Cook’s brief introductory speech with the same platitudes and trite turns of phrase we’ve heard since he became CEO? Check. Incredibly smooth overprocessed transitions from one presenter to another, located in starkly different locations at Apple Park and environs? Check. Claims of amazing new designs (where actually little has changed) to introduce the nth iteration of an Apple product? Check. Claims of Apple getting greener and greener as a company as we speak? Check. Hero video shorts that introduce the product starting from extreme, ultra-quality closeups to then reveal the final form with sweeping, liquid motions and epic background music? Check. Craig Federighi outgoing segment talking effusively about how Apple has turned the most basic features into something fantastic? Check. Hardware person blurting out technical details over technical details explaining how the SoC has improved, how many more cores it has, how much speed and efficiency have been gained, etc.? Check. You get the idea. I actually rewatched bits of past events, just to see if this was bias or me misremembering; but no, it’s all there.

It’s Apple going through the motions, and I couldn’t help noticing it at every turn of the hour-and-a-half event.

Three products were presented on Monday: the new Apple Watches (Series 10 and Ultra 2), the new AirPods (4, Pro 2, Max), and the new iPhone 16 and 16 Pro. Everything about these products was iterative. Despite Cook’s claim of a ‘beautiful new design’, the new Apple Watch doesn’t look particularly new. It’s a bit thinner than its predecessor, its display is larger and more readable, the materials are different, sure. But the design bears the same characteristic as the first Apple Watch. It’s an almost 10-year-old idea that has been refined year after year after year. There’s a particularly fitting phrase in Latin that describes this iterative process: labor limæ — literally ‘filing work’ — that was used to express the patient, assiduous, meticulous refining work of poets and writers after outlining their pieces in order to bring them to perfection. 

The segments about the new AirPods and new iPhones were no different. And Apple loves talking about their refining work, indulging in descriptions of which materials they chose, how such materials were treated and processed, how they were able to achieve certain finishing details, and so forth. As we were watching the event, a friend joked in private chat that Apple has to add some filler stuff, otherwise the event would last only 40 minutes or so. I don’t know whether this is filler stuff; my feeling is that Apple revels in such details because it’s still what Apple does best. I don’t think there’s another hardware company that has developed such advancements in material research, treatment, and finish. But I’m increasingly afraid that hardware manufacturing and engineering are the only ‘cores’ that can still effectively propel the company. 

What I loved about Steve Jobs’s keynotes is that there was a compelling underlying narrative giving a sort of human connective issue to all the ‘techy’ bits. Jobs weaved a coherent context that justified what was behind a change in design, a technical choice, the need for an advancement in specific areas of a product. Sure, there were data samples, there were tech specs and comparisons, but you didn’t reach the end of a keynote thinking that it had all been about tech specs and speed boosts. Conversely, that’s precisely what I felt at the end of most of these pre-recorded events I’ve watched for the past four years. I get to the end of an event thinking it has been like sitting in a conference room with employees and shareholders listening to the same well-oiled PowerPoint presentation showing how these latest machines are a bit sleeker, faster, and more performant than last year’s models. There’s a distinctive corporate stench.

And it seems to me that Apple is progressively losing itself in these minute details while missing the fundamentals of what made Apple a special company: the vision, the ‘thinking different’, the ‘technology is not enough’, the ‘innovation is saying no to a thousand things’.

The engineering feats of the Apple Watch, the research on the various materials, the meticulous finishing, are all undeniable and unparalleled. But it’s a watch for technophiles. Traditional horology enthusiasts and experts may appreciate the Apple Watch from a strictly technological standpoint, but to my knowledge few of them have praised its visual design. I love traditional watches and even those digital watches from Casio and Citizen that were incredibly popular in the 1980s, and I find the Apple Watch’s design to be nondescript at best and unattractive at worst.

But it’s a product that sells, as-is, so Apple doesn’t seem inclined to mess with it. They don’t seem to even think about, I don’t know, releasing a different model, maybe with a different shape or style, that may appeal more to lovers of traditional watches. They don’t even seem to consider maybe rethinking watchOS to make it more adaptable to the needs of different users. Every year, the new iteration of the system adds more stuff to the already dizzying array of stuff that was added the year before. Apple Watch is almost ten years old, and in all this time what we have got is an unstoppable amount of feature creep on one side, and still a surprisingly limited system when it comes to true customisation on the other. As I was losing myself in the presenters’ drone about all the new things the watch was able to do now, I was thinking about how I wish watchOS were actually a modular system, letting me install only the features I need. This would be great from a UI standpoint, because fewer features and fewer information to display and interact with would mean a cleaner UI. And it would potentially increase the watch’s efficiency and battery life. What I want in a smartwatch is the timekeeping, the steps/calories count, the heart monitoring, and little else. And I know a lot of people with similar needs. 

Instead, Apple Watch is becoming more and more a smartphone for your wrist. We already have a smartphone in our pocket. But this feature cramming, in my eyes, is yet another sign of a company led by businesspeople and hardware specialists who don’t seem to be able to look past their iterative mindsets. The UI, UX, software design, don’t feel prioritised. Every year a new layer is placed on top of the previous; gestures accumulate, operations you memorised now have variants to accommodate the new, bolt-on features. The user interface silently deteriorates, becoming more fiddly, less intuitive, more crowded by additional elements that require impossibly precise and purposeful navigation on the part of the user — this applies in part to watchOS, but especially to iOS.

I didn’t pay much attention to the AirPods segment because it’s a product I have little interest in, and not because I have something against it — my ears do. I simply can’t use true wireless earphones, no matter the brand, as one of the buds always falls off and the other stays barely in place. I could never use this kind of earphones on the move: I would lose them instantly. The only AirPods I could be interested in are the over-the-ear AirPods Max, but if you’ll forgive my bluntness, I just find them ugly and overpriced. I love my Sony WH-1000MX3 and MX5 too much to look elsewhere. They have great noise cancelling, a very nice audio profile (for my ears), good design, they’re very comfortable to wear even for hours, durable, and worth every penny of their overall reasonable price.

During the event, I chuckled at Francisco Tolmasky’s observations, particularly this one: The number one thing they could add to AirPods is putting a LATCH ON THE CASE. Do a study of people dropping the fucking AirPods and having them pop out like popcorn. I don’t want a smaller case, different shape case, I want a case that STAYS CLOSED.

I don’t have direct experience of this, but know a fair amount of people who complain exactly about this aspect. Apple, the company that’s all about sweating the details, could be a little less shortsighted when it comes to more practical matters related to the use of their products.

Finally, the iPhone segment clearly revealed (if that wasn’t clear enough already) just how much Apple has become ‘just another tech company’. First: emphasis on tech specs and performance increase. It’s all bigger, faster, better. The performance graphs are getting comedic. It’s like the car manufacturer introducing the revised version of their flagship sports car, telling you that, while the older model ‘only’ reached a top speed of 300 km/h, with this new one you can reach 400 km/h! As if that made any real difference in your day-to-day life.

Second: let’s jump on the ‘AI’ bandwagon and drop ‘AI’ everywhere in our products. And Apple Intelligence (Apple’s personal spin on ‘AI’, which looks like they finally found some expensive makeup to beautify Siri) seems to permeate every aspect of iOS 18 and the iPhone 16 models. I watch Federighi affably explain how with Apple Intelligence in Messages, Notes, Photos, you now can do this and that… And the first thing coming to my mind is, Dude, you have no idea how regular people use messages, notes, and photos, do you?

I know, unfiltered thoughts may be rough, but let’s be honest: Messages, Photos, Notes, Reminders, Calendars… it’s the same old shit we’ve had on our Macs and iPhones and iPads for years, but every year they need to reinvent the wheel to make this same shit ‘interesting’. It was text, then came emoji, then animoji, memoji, now it’s ‘AI’-generated emoji. In simpler times, it was just taking a photo, look at your photo roll, maybe share it with friends or on social media; then it came photos (badly synced) in the cloud, then moments, memories, themed albums, albums with soundtracks, then spatial photos, then make your own little movie based on your albums and memories and whatnot. But don’t worry because all the heavy lifting is done by ‘AI’. I don’t worry about that, I worry that you’re so far removed in your aseptic, frictionless ivory tower that you have little to no clue as to how people interact with their phones, their photos and notes and messages. Spoiler alert: not much differently than what they used to do 10–15 years ago. Your reinventing the wheel only confuses non-tech people because it messes with their simple, tried-and-true workflows. The workflows they learnt when iOS was lean and naturally intuitive, 15 UI layers ago. The cries for technical assistance I sometimes get from friends and acquaintances are for issues that are so ridiculous, and so non-Apple, they remind me of when I was doing tech support in the era of Windows 95 and 98. 

My impression that Apple is severely removed from how actual people use their phones is reinforced every time they show a short video to illustrate how certain features work. These videos are supposed to showcase how Apple products naturally embed in regular people’s daily lives. What we see are slices from utopia. Impeccable people moving about in their impeccable homes living glossy-magazine lives, everybody fluidly relating to their personal tech devices. They’re filmed in a way Apple people think will look relatable, while you’re sitting at your messy desk in a modest studio in your decent-enough apartment that is costing you your life savings, watching the Apple event, watching these little videos and thinking, Who are these people, what do they do for a living, and what the hell is that girl doing on her iPhone?

These videos, the whole pre-recorded Apple event, it all feels like a controlled environment. I want back those live demos on stage done by Apple’s senior management. Every now and then there was some goofy banter or awkward moment. Every now and then something wouldn’t really work 100% as planned. But they were fun to watch. They felt real. They were memorable. Apple felt more hands-on with the product(s) they were introducing.

Back to the iPhone. Oh yes, I don’t want ‘AI’ in my phone. It should be a togglable feature, like autocorrect. For the moment, due to EU legislation if I got it right, it seems that in the EU iOS 18 won’t feature Apple Intelligence at first. I wish things could stay this way indefinitely, but if indeed Apple Intelligence will eventually be part of iOS everywhere, again, I would really really love for it to be an opt-in functionality. I’m not interested in ‘AI’-generated emoji. I don’t need Apple Intelligence to correct or summarise a message, email, or other text for me. I can do the work myself. I want to do the work myself. This is the good friction that keeps your brain nimble and makes you sound like you when you write to someone else.

And then of course there’s the usual part when Apple talks at length about the camera technology in the new iPhone. And again, here everything is faster, better, smarter. Without doubt, camera technology in iPhones is getting ridiculously powerful, to the point that the feature offer far surpasses the feature demand. I still find all the emphasis on speed to be adorable. The unsurmountable speed bottleneck is deciding which of the 45 photo apps you’re going to choose to take the shot. 

Camera Control is a good example of a new feature that works great on paper, and even in some pre-recorded animations on Apple’s site. In practice, the simple and effective idea of having (finally) a dedicated camera button (and I say finally because with iPhones that are becoming more and more like small tablets in size, they are also more and more awkward to handle when used as cameras, so a dedicated camera button is definitely a godsend) is immediately contaminated by assigning multiple functions and gestures to this button, in a way that reminds me of the jog-dial in many personal devices like phones and PDAs manufactured by Sony in the 1990s and 2000s. A dial that was context-aware, that you could turn but also push because it was a combination of a wheel and a button. It wasn’t terrible at the time, but it wasn’t always intuitive either.

The general impression that stayed with me after the iPhone camera segment was that everything is getting to a bewildering saturation point which goes beyond photography and kind of steals its soul in the process. So many ‘exciting’ camera upgrades, so much computational assistance, you’ll end up forgetting what it means to take a photo. Point and click and get the perfect photo. No wonder more and more people share this mindset that makes it all about the gear. No wonder people come to me, unprompted, and justify their need for a new iPhone Pro because “it takes better photos” than their two-year-old iPhone.

At this point you may understandably wonder whether there was something, anything I liked about the new devices Apple presented on September 9. Yes, actually. I like the materials Apple is using both for the watch and for the iPhone. I especially like titanium for its durability and lightness, and I like the titanium colour variants in the iPhone 16 Pro models — their colour scheme is overall very ‘Dune’. I also like the colour variants of the regular iPhone 16, especially the Ultramarine, but it’s a pity they dropped warmer, more vibrant colours (I’m also not seeing a PRODUCT(RED) option when simulating a purchase). 

I also like the boosted video capabilities of the new iPhone Pro models. I’m not a videographer or video expert of any kind, mind you, but from what I’ve seen, the iPhone 16 Pro is capable of delivering a one-stop solution for filming stuff in at least a semi-pro capacity. I’ve toyed with the idea of starting a YouTube channel for a while, but one of the many aspects holding me back has been what kind of gear to use to deliver decent audio and video without much fuss. And an iPhone with these capabilities would be a perfect single-tool answer, probably even overkill.

The AirPods and AirPods Pro are also a great product. I hated the design of the first-generation AirPods, with those stupidly long, ungainly stems, making them look like replacement heads for an electric toothbrush. For once, the continued iteration has brought a better, more elegant design, and they’re packed with interesting audio technology. I still think true wireless earbuds with non-replaceable batteries are an environmental issue, and from a more practical standpoint, I wouldn’t invest in a product with a potentially short lifetime. As for the AirPods Max, as I said earlier, I’m not a fan. They’re available in different colours now, and they have USB‑C connectivity, but Apple hasn’t changed or improved their design, which is probably what some people were expecting.

So, is it time for me to upgrade to a new iPhone? No, not yet. There are things to like about this last iteration, but I’m not fond at all of the fundamental design choices Apple has been making: as I’ve said (too) many times, I don’t want notches or dynamic islands to contaminate the screen’s real estate. I also hate the disappearance of a Home button and related Touch ID functions. And I’m not a fan of the ever-increasing device sizes. 

And then there’s the matter of the price, which cannot be ignored. In my country, prices for the regular iPhone 16 start at €959; starting prices for the iPhone 16 Pro and Pro Max are €1,219 and €1,469 respectively. The M2 Pro Mac mini I purchased last year was about €1,530. This is nuts. After one year, what the Mac mini has enabled me to do has already paid for itself. What I would do on an iPhone 16 (Pro or not) is basically the same I’ve been doing with the iPhone SE 3, and the iPhone 8 before that. Yes, better video performance and ‘pro’ video features could be of use, if I decide to do video-related stuff down the road.

All in all, it’s a frustrating outlook. My iPhone SE 3 still works great and will probably last me another year or more. It also retains the iPhone design I love most: the perfect size for my hands, a rectangular display without notches or similar crap, and Touch ID via a proper Home button. But it’s the last of its kind, and there won’t be another one like it. I’ll probably keep using it until it no longer supports the latest iOS, investing in a battery replacement if need be. But switching to Android — gasp — isn’t out of the question either, and while certain Android flagship models have similar prices as the new iPhones, I don’t need a flagship phone for my use cases. Further, this Surface Duo I acquired second-hand for a pittance is a surprisingly good device and doesn’t even run the latest Android version.

In conclusion, this latest Apple event did very little to bring back any enthusiasm towards the brand. I feel more alienated event after event. I no longer see a company with the technological vision of a pioneer in its field, but a corporate entity that’s becoming indistinguishable from other tech giants. A company that, for the most part, still iterates on designs and ideas that are 10–15 years old — and it’s excellent at iterating, hardware-wise, but I keep feeling it’s losing the plot and the ability to carve new paths. And don’t “Vision Pro” me, because I’ll just laugh back. A company that keeps reinventing the wheel with its products, obsessed with improving tech specs, investing a lot of resources to keep the same applications (in the sense of practical use cases) relevant and interesting, instead of pushing the research & development envelope and devising some entirely new ways and applications aimed at a true technological progress.

But maybe I’m expecting too much from a company which lost its founder and visionary 13 years ago, apparently fired a lot of people who understood user interface and software design, and is run by largely unimaginative businessmen and hardware nerds.

Redeeming a code: when processes are too simple

Software

Here’s something that recently happened to me. I realise it might be a bit of an edge case, but I think it’s worth reflecting on it.

I’m sure you’ll all be familiar with the process of redeeming a code when someone gifts you an app for your Mac or iOS device. It’s simple, fast and straightforward, no question about it. My recent experience revealed that, in certain cases, it can be too simple for its own good.

One of my clients is a software studio that makes different apps for Mac and iOS. As they wanted me and other translators to check things in their latest apps, they provided a bunch of codes so we could obtain the apps free of charge. I can’t name names or be more specific, as you’ll understand, but this doesn’t really matter for what I want to demonstrate.

Now, I had already purchased one of these apps for Mac some time ago. Let’s call it App 1. In the communication I received, the codes were given for both App 1 and App 2; since the wording wasn’t crystal clear, and I didn’t want to waste a code for an app I already had, I asked for confirmation: “Is this code for App 2? Because I already have App 1 but not App 2, so it would be quite handy to have a code for App 2”.

Yes, this is for App 2”, was the reply. So I happily initiated the process of redeeming that code. I opened the Mac App Store app, clicked on my account, clicked on Redeem Gift Card, and I entered the code in this screen:

Redeeming a code in the App Store app for Mac

After hitting Return, the next window simply said something like Your app is now downloading. So I clicked back and in the app list associated with my account I watched, in horror, that what was downloading was App 1. And its code had been ‘burnt’ for nothing.

The mix-up done by the client isn’t the issue here. The first question I asked myself as I was powerlessly watching the app download, was Could all this have been avoided? And the answer I gave myself was, of course, yes. Yes, all this could have been avoided with just a sprinkle of thoughtfulness in the user interface.

The two failure points in this process, as far as I reckon, have been:

  1. After entering the code, I should have been presented with a confirmation screen informing me about which app that code corresponded to and asking me whether I was sure I wanted to redeem it. What happens instead is that you have no idea what you’re downloading until it’s too late. Addressing this would be enough to avoid mistakes or accidental wastes of gift codes.
  2. The second appalling thing in this process was that, despite me having already a purchased copy of the app installed on my Mac, the App Store app redeemed the code and re-downloaded the app anyway. And this, in an ideal UI world, should not happen. There should be a failsafe that interrupts the code redeeming process if the system detects that you already own the app and it’s regularly licenced.

I know that in most cases people already know which app they’ve been gifted and have no issues with the code redeeming process as it is. But I think that adding just a little confirmation screen before actually redeeming a code would certainly be an improvement. I talked about this with a couple of friends to confirm whether my remarks were making sense, and one of them told me that this would have been very useful to him when he was given a code for an app as a birthday gift, and it turns out he already owned that app.

Simplicity in user interface design is often a good thing, but it’s worth spending time evaluating the amount of simplicity you provide in an application or in a user interaction flow.

Who’s afraid of AI? Not I

Tech Life

Start a check in with Francesco
Let them know when you arrive at your destination.

— Siri Suggestion

A few days ago, out of the blue, I got this notification on my iPhone. Siri has been a constant letdown for me since its introduction 150 technology-years ago, and the few Siri suggestions I’ve received over time have never, ever been remotely useful. The most pattern-recognition work Siri has ever done to display a modicum of smartness was a year or so ago. For a few weeks, my wife and I started a habit of eating home-made pizza for dinner every Thursday. When the moment came to put the pizza in the oven, I would start a timer on my iPhone. Then it ceased to be every Thursday: one week was on Wednesday, another week on Friday, etc. But for a month, every Thursday at about the same time, I would receive a Siri suggestion to start the timer for the oven.

What struck me as particularly hilarious about this quoted Siri suggestion was the utter randomness of it all. First and foremost, Francesco is one of my best friends, but he lives in Italy and I live in Spain. We rarely communicate via phone, preferring Google Meet chats. ‘Starting a check in’ with him is probably the last thing I would need to do, given the circumstances. Let them know when you arrive at your destination is also hilarious, because that’s the kind of notification you would expect to receive while driving, maybe at night, maybe when you’re going back home after a night out. When I got this notification, it was mid-afternoon, I had headed down in the parking lot of my building to retrieve from the car a few items I’d forgotten there after the move. From a geolocation standpoint, I had not even left home. There really wasn’t a ‘destination’ I was ‘arriving’ at. 

I know I’m being very pedantic about this. It is, of course, not a big deal at all. But this is what you get out of Siri today. A supposedly smart assistant. Something that was introduced as being quite innovative.

Now let’s look at the first paragraphs of the Wikipedia entry for ELIZA. ELIZA is not a person, and I’m not shouting her name in Caps Lock. ELIZA is

…an early natural language processing computer program developed from 1964 to 1967 at MIT by Joseph Weizenbaum. Created to explore communication between humans and machines, ELIZA simulated conversation by using a pattern matching and substitution methodology that gave users an illusion of understanding on the part of the program, but had no representation that could be considered really understanding what was being said by either party. Whereas the ELIZA program itself was written (originally) in MAD-SLIP, the pattern matching directives that contained most of its language capability were provided in separate ‘scripts’, represented in a lisp-like representation. The most famous script, DOCTOR, simulated a psychotherapist of the Rogerian school (in which the therapist often reflects back the patient’s words to the patient), and used rules, dictated in the script, to respond with non-directional questions to user inputs. As such, ELIZA was one of the first chatterbots (‘chatbot’ modernly) and one of the first programs capable of attempting the Turing test.

ELIZA’s creator, Weizenbaum, intended the program as a method to explore communication between humans and machines. He was surprised and shocked that some people, including Weizenbaum’s secretary, attributed human-like feelings to the computer program. Many academics believed that the program would be able to positively influence the lives of many people, particularly those with psychological issues, and that it could aid doctors working on such patients’ treatment. While ELIZA was capable of engaging in discourse, it could not converse with true understanding. However, many early users were convinced of ELIZA’s intelligence and understanding, despite Weizenbaum’s insistence to the contrary. 

What’s happening with ‘AI’ today is pretty much the same thing. On the one hand, ‘AI’ tools — despite all the technological advances made since the 1960s — are at their core essentially, functionally the same as ELIZA. They are more sophisticated, sure, but simply because they have been fed enormous amounts of data which has been processed by much faster chips. On the other hand, there’s also the alarming similarity in how such tools are perceived. Some people project sentience and understanding on these ‘AI’ tools, but there simply is none. 

I’m not afraid of ‘AI’ not because I think it’s a positive thing, but because there simply is nothing behind it to be afraid of. There is no intelligence, no sentience, no technical innovation. Only what people project onto it — both the companies producing such tools, and certain segments of their userbase. In a way, what I find concerning about ‘AI’ is what surrounds it and how gullible people can be.

Arthur C. Clarke’s third law is the oft-quoted, Any sufficiently advanced technology is indistinguishable from magic. It’s a perfect fit for what ‘AI’ might look like today for some people. Language models, and large language models (LLM) are fascinating, but there isn’t any magic behind them. Just data processing. Which, thanks to the inexpensive, powerful hardware we have today, provides incredibly short computing and response times. 

Artificial intelligence’ is a marketing label applied to what is actually just machine learning. And machine learning, per se, isn’t really a sellable product. The problem is, in fact, finding a purpose for these ‘AI’ tools, and finding useful applications for them. The ‘bet on AI’ — unlike past ‘bets’ in the tech industry — isn’t a direction tech companies are deciding to follow after some technological discovery, innovation, or breakthrough. This bet is based on fooling enough consumers and tech-oriented audience into believing that ‘AI’ is the future and has some meaningful impact or utility in people’s lives. And while I don’t deny the developments and progress in the fields of large language models and neural networks over the past decades, ‘AI’ as it is today is more marketing than actual technology.

AI’ is the product of one of the most stagnant periods I’ve witnessed in the tech industry since the 1990s. I’m necessarily simplifying matters here, because the scope of the discourse would be otherwise deserving of an entire book, and a rather thick one too. The ingredients of what’s off in tech today are roughly these:

  • A lack of a proper breakthrough technology or product with an actual, useful, meaningful impact on common people’s lives.
  • A lack of visionary figures in tech, people with enough experience, brilliance, and acumen to come up with The Real Next Big Thing. Call me a Steve Jobs fanboy all you want, but after his passing, the void he left behind is only expanding.
  • The shift in focus on the part of most tech companies, where providing good-quality tools and user experiences for their customers doesn’t seem to be their primary concern anymore, whereas their obsession with growth has been increasing, reaching alarming and ultimately unsustainable levels.
  • A consequence of the previous bullet point is that, when a tech company reaches a point where it has little to offer but still wants profits and growth, it will hype whatever little it has to ridiculous proportions.
  • This in turn makes the tech landscape filled with a lot of smoke but little to no fire, so to speak. There’s a lot of empty talk, a lot of marketing pitches, a lot of buzzwords, a lot of hype for whatever product looks vaguely different and ‘out of the box’ at first sight — but very little substance behind.

It’s amazing to me that, after the huge hype-wave surrounding cryptocurrencies, web3 and stuff like that, that after all the empty promises and the actual, severely-damaging frauds perpetrated by some ‘crypto gurus’, we are expected to treat ‘AI’ as something different or useful, when it essentially is a similar plant growing out of the same kind of soil.

Artificial intelligence’ is a potentially more appealing label than ‘machine learning’ because it is quite evocative. People are familiar with the concept through all the science fiction they’ve been consuming for years. Artificial intelligence is the spaceship’s central computer that can be queried using natural language, that promptly analyses and understands all kinds of data in a situation, and provides solutions or at least meaningful guidance to solve an issue or prevent a disaster or gain some deep insight. Artificial intelligence is the sentient, helpful cyborg or android offering assistance or even doing all kinds of automated tasks that are too numbing or time-consuming for a human; again, fully understanding everything around it, perfectly contextualising tasks and queries, and acting accordingly. (But, as a comedian whose name now escapes me aptly put in a stand-up routine, Artificial intelligence is also HAL 9000 in Kubrick’s 2001: A Space Odyssey, and why would we want that!?) 

The way AI works in these fictional scenarios is pretty much identical to the way human intelligence works; it’s a scenario where the singularity has already occurred and machines are self-sufficient pieces of equipment capable of researching data on their own, internalising it, elaborating it, and making deductions and projections. There’s a sort of implied omniscience, objectivity, and infallibility about them.

But there’s a fundamental problem the ‘AI industry’ is trying to sweep under the rug as quickly as possible, in the hopes that people won’t notice: ‘AI’ today is nothing like those evocative examples of ‘true’ artificial intelligence as depicted in many sci-fi scenarios. Companies and ‘AI gurus’ desperately want people to believe that we’re getting closer and closer to those scenarios, because they want people to buy into the idea of ‘AI’ — and the imperfect, unreliable, practically useless tools they’re presently concocting. If you want any proof of the extreme lack of vision in the tech industry right now, just look at how every tech company, no matter their size, has mindlessly jumped on the ‘AI’ bandwagon by either ‘developing’ or slapping some kind of ‘AI’ product or service or feature onto their current products or offerings. Instead of focusing on real technological progress for the betterment of humankind, they’re trying to legitimate the ‘AI’ Snake Oil by making it widespread. But a placebo is a placebo: the fact that you can find it everywhere doesn’t make it an actually effective cure for an illness.

I’ve only recently subscribed to the excellent Where’s Your Ed At? newsletter by Ed Zitron, and in the 16 July issue, titled Put Up or Shut Up, he makes great point after great point on the subject of ‘AI’. Subscribe and read the whole issue, which is definitely must-read material. I’ll quote some bits for now (there are a lot of links in the original text, which I have omitted here; subscribe to Zitron’s newsletter for more information):

These stories dropped around the same time a serious-seeming piece from the Washington Post reported that OpenAI had rushed the launch of GPT-4o, its latest model, with the company ‘planning the launch after-party prior to knowing if it was safe to launch,’ inviting employees to celebrate the product before GPT-4o had passed OpenAI’s internal safety evaluations. 

You may be reading this and thinking ‘what’s the big deal?’ and the answer is ‘this isn’t really a big deal,’ other than the fact that OpenAI said it cared a lot about safety and only sort-of did, if it really cared at all, which I don’t believe it does. 

The problem with stories like this is that they suggest that OpenAI is working on Artificial General Intelligence, or something that left unchecked could somehow destroy society, as opposed to what it’s actually working on — increasingly faster iterations of a Large Language Model that’s absolutely not going to do that. 

OpenAI should already be treated with suspicion, and we should already assume that it’s rushing safety standards, but its ‘lack of safety’ here is absolutely nothing to do with ethical evaluators or ‘making sure GPT-4o doesn’t do something dangerous.’ After all, ChatGPT already spreads election misinformation, telling people how to build bombs, giving people dangerous medical information and generating buggy, vulnerable code. And, to boot, former employees have filed a complaint with the SEC that alleges its standard employment contracts are intended to discourage any legally-protected whistleblowing. 

And:

The reality is that Sam Altman and OpenAI don’t give a shit, have never given a shit, and will not give a shit, and every time they (and others) are given the opportunity to talk in flowery language about ‘safety culture’ and ‘levels of AI,’ they’re allowed to get away from the very obvious problem: that Large Language Models are peaking, will not solve the kind of complex problems that actually matter, and OpenAI (and other LLM companies) are being allowed to accumulate money and power in a way that’s allowed them to do actual damage in broad daylight. 

And my favourite bit, later on (emphasis mine):

Generative AI’s one real innovation is that it’s allowed a certain class of scam artist to use the vague idea of ‘powerful automation’ to hype companies to people that don’t really know anything. The way to cover Thrive’s AI announcement [or any ‘AI’-related announcement — RM] isn’t to say ‘huh, it said it will do this,’ or to both-sides the argument with a little cynicism, but to begin asking a very real question: what the fuck is any of this doing? Where is the product? What is any of this stuff doing, and for whom is it doing it for? Why are we, as a society or as members of the media blandly saying ‘AI is changing everything’ without doing the work to ask whether it’s actually changing anything? I understand why some feel it’s necessary to humor the idea that AI could help in healthcare, but I also think they’re wrong to do so. 

[What’s Thrive? Zitron explains: “Last week, career con-artist Arianna Huffington announced a partnership between Thrive Global (a company that sells ‘science-backed’ productivity software(?)) and OpenAI that would fund a ‘customized, hyper-personalized AI health coach’ under Thrive AI Health […]. It claims it will ‘be trained on the best peer-reviewed science as well as Thrive’s behavior change methodology,’ a mishmash of buzzwords and pseudoscientific pablum that means nothing because the company has produced no product and may likely never do so.”]

And finally:

The media seems nigh-on incapable of accepting that generative AI is a big, stupid, costly and environmentally-destructive bubble, to the point that they’ll happily accept marketing slop and vague platitudes about how big something that’s already here will be in the future based on a remarkable lack of proof. 

This quote above is essentially the better-worded version of an observation I independently wrote down a month ago, before I was made aware of Ed Zitron’s newsletter, but I prefer to quote him because he delivers the punch much more effectively than I would.

As I recently wrote on Mastodon, the greatest trick tech companies are trying to pull is convincing the world real AI exists. I can’t wait to see the reckoning, especially when the markets come knocking at these companies’ doors. Every time you see some unspecified AI-related ‘accomplishment’, the correct reaction should be “Yes. And?” The AI house of cards can’t withstand 2 or 3 rounds of “Yes. And?”

Like, “Look what this chatbot is capable of!” 

(A chatbot that’s been fed literal millions of data bits and still comes up with bad approximations and incorrect answers. But you play along and just ask:)

Yes. And?”

It all trails off. There’s nothing there. What’s the point of this tool that just wastes insane amounts of energy by vacuuming an insane amount of information, mostly stolen from the Internet without permission or compensation?

Last year I was starting to feel bad for having an increasingly unenthusiastic and cynical overlook on tech. Now more than ever I believe more people should share this outlook and attitude. I’ll always cheer the indie developer coming up with great ideas for software. I’ll always cheer anything that is actually good, useful design, in hardware, software, and UI/UX — I’m not entirely blind to good stuff in tech. But people should really stop drinking the kool-aid from the big names in tech, and should look past the big plates of bullshit they serve on a daily basis. The current situation is very much similar to Hans Christian Andersen’s famous folktale The Emperor’s New Clothes. People should cultivate a healthy skepticism, avoid buying into the ‘AI’ hype and pretence, and focus on what ‘AI’ actually does (very little), not what it is said it might be capable of in some unspecified future. ‘AI’ in its current form, is like Andersen’s emperor — it has no clothes.

Oh great, another personal update

Tech Life

Ever since I started writing online, one kind of post I always tried to avoid publishing on my site is the Sorry for the lack of updates post. As the excellent CM Harrington reminded me a few months back on Mastodon, Remember you don’t owe anyone anything. I think in this era of social media, there’s a pressure to ‘engage’ — but that’s a false pressure. We’re human beings, being social. We’re not entertainment to be consumed and monetised, so don’t ever feel like you’re not keeping up, or not holding up your end. It’s not a job, it’s a conversation.

This is very true, and in fact one of the core principles behind my online writing — as I’ve often said — is that I publish something when I have something to say. That’s why I never liked those Sorry for the lack of updates posts.

But hiatuses happen. Often they’re ‘time-outs’ a writer or creator decides to take. Sometimes they’re caused by stuff behind the scenes that’s a bit out of our control. What happened here is the latter. And I feel that certain hiatuses warrant an explanation. Especially if you’re a new reader here and have decided to add my blog to your feeds after discovering me through the interview for Manuel Moreale’s People & Blogs series. As this was almost two months ago, you might have been wondering why I haven’t posted anything since.

In a previous personal update back in February I mentioned that my wife and I were apartment hunting because our landlord and her brothers weren’t interested in renewing the renting contract, wanting to sell the apartment instead. After a couple of stressful months we finally found and purchased a new apartment at the end of April. At that point we entered the subsequent stage: moving our personal stuff to the new place. Given our poor experiences with removal firms we contacted in the past, we decided to move 95% of what we own ourselves, then leave only the most cumbersome furniture to a removal firm. If this method guarantees nobody breaks any of our items, on the other hand it makes the whole process longer and more fatiguing. In fact, it took us two months, May and June, to bring our many belongings to the new apartment, making daily car trips.

Having to go through everything we have, putting it in boxes, bags, backpacks and suitcases, loading the car, making the trip, unloading the car, rinse and repeat, was of course exhausting and time-consuming. And since I also had to keep working during all this, I really had no time left to follow tech topics (or any topic, for that matter) and therefore no time left to write anything here.

And to be perfectly honest with you, what little I was able to follow about the tech world did not particularly excite me. Here are a few quick notes I shared on social media about Apple’s recent stuff, for instance:

About the M4 iPad Pros — So, new iPad Pros. Better than the old iPad Pros. It’s the same song since 2012. Better specs hardly solve the conceptual and identity problems of this device, which remain unchanged iteration after iteration. I’m sure there are people ‘delighted’ with an M4 iPad Pro. I’m sure there are people who see it as a ‘worthwhile update’ if they’re coming from an M1 iPad Pro. I’m just tired of this carousel.

About the ‘AI’ stuff Apple introduced at WWDC24 — I haven’t seen the WWDC24 keynote yet. The only two things I’ve learnt for now by skimming my timeline are Apple embracing AI in some form, and the name Mac OS Sequoia. I used to proudly display my loyalty and support of Apple, but this company is losing me, event after event. Apple went from Think Different to being just another big tech company. I used to recognise myself in that “intersection between technology and the liberal arts”. Apple’s intersection, today, is between tech and profit. No thanks.

I only had time to watch one video recapping “Apple Intelligence” (LOL), and it was by the always excellent Dave 2D. Now that I know a bit better about it, my reaction is even more visceral. I don’t need and I don’t want that crap on my devices. But also: what a colossal waste of resources just to stay in the game (and we’ll see how long this game will actually last…). But also: all this ‘AI assistance’ regarding text is a depressing and all-too-modern way of treating the written word as throwaway shit we shouldn’t bother wasting brain cells on. By relying on AI tools to change, summarise, manipulate the written word, we end up being even more inept at creative thinking/ideation and communicating. “Siri, just send Frank an auto-generated birthday message with an AI-generated image, because I can’t be arsed to do that / I’m too busy.” It’s maybe a silly example, but that’s bleak all the same. That’s not the help I need or want from technology. Technology is supposed to help with soul-crushing, repetitive tasks, so that we humans can — among other things — do better what makes us human: being creative and contemplative. ‘AI’ today is treating creativity, reflection, contemplation as the ‘boring stuff’ that should be automated, so that… what? So that we can be better at being idiots with one another?

That Apple is willing to jump on the AI bandwagon is as disappointing as it was predictable. I’m fed up with this “Us too!” attitude. Apple is too big to fail, and yet suffers from Fear Of Missing Out like a startup. Apple should use its success and resources to continue being a trailblazer, not the company that gives you an AI chatbot and more emoji. And don’t even reply to me with “But Vision Pro…”.
 


 
Now the move is over, and the next and final stage has begun: settling in the new place, unboxing everything, reconfiguring spaces and so on. I should have more time to update this blog, but first I’ll need to catch up with roughly six months’ worth of tech news and unread feeds. I hope to be able to write more (and more thoroughly) about what Apple has introduced so far this year, what the company is doing, and ultimately why I feel increasingly let down by them. Now I need to get back to work. Thank you for your patience and understanding. And if you’ve been showing me support on social media and on private channels through this stressful period of time, know that it is very appreciated.

People & Blogs: Interview with yours truly

Handpicked

Back in March, talking about the People and resources added to my reading list in 2023, in the ‘Tech blogs’ section I wrote:

This category was this close to remaining empty. However in November 2023 I discovered Manuel Moreale — or rather, he discovered me through another person, and got in touch. And I, in turn, was made aware of his very good blog. I really like his down-to-earth, no-nonsense approach, and I’ve been enjoying one of the main features of his website — the weekly interviews for the People and Blogs newsletter. 

Full disclosure: Manuel interviewed me as well, and at the time of writing this my interview hasn’t been published yet. I’m not highlighting Manuel’s blog as a favour to him, or for self-serving purposes. I genuinely like his blog, and I think it’s a worthy addition to your RSS feeds. Simple as that. 

That interview was eventually published a couple of days ago: People & Blogs: Riccardo Mori. Check it out if you want to know more about me, my interests, my history when it comes to online writing, and have some recommendations for further reading, both online and offline. And make sure you start following Manuel’s blog which, I’ll reiterate, is worth adding to your feeds.

You’re also welcome to get in touch if, after reading the interview, something piqued your interest and you want to ask further questions.