> The reason is obvious when you think about it: enterprises are paying for their employees’ time, so of course they are willing to pay for tools that make those employees more productive
Is that why there are billions dollars wasted in useless Microsoft subscriptions and services?
> consumers, on the other hand, are mostly looking to waste time, which is why attention-harvesting advertising is the only software business model that works at scale for consumer services.
What a callous view of people. Who's your benchmark? TikTok addicted kids?
> What they do want to do is watch short-form video
Yeah, it seems so.
brother, we are all walking around with a supercomputer in our pocket thats capable of accessing the sum total of human knowledge and yet we're still stuck with people who think the earth is flat.
At those rates you might as well be complaining about people who believe they are Jesus Christ reincarnated, or that they are trolling for the fun of it.
Why am seeing "brother" a lot recently?
When I was a teenager WWF came to my town. The day before the event a bunch of the wrestlers randomly showed up to my local gym to get a workout in. None of the guys, and especially Macho Man ever broke character the entire workout. They were super nice and after a bit of handshakes with us there we all just went back to our workouts.
But also, Warhammer 40K is popular.
If you grow up in a house in the woods with every math book known to man, but nothing else, you will eventually read them.
But if that house also has every comic book, porno mag, animal bloopers, etc, you’ll never pick one up.
Consider nutrition. Technological advancements mean that people have access to both higher-quality food and lower-quality food than their ancestors. In practice that seems to have resulted in some people eating healthier than their ancestors could have, and others worse.
We have the best medicines we’ve ever had, and yet life expectancy is down in many countries.
We have more wealth as a globe and yet we are fighting more wars than in generations.
We have more automation than ever and yet people are working harder for less.
We have more capability for democratization of knowledge and capital and yet inequality is higher than ever.
The list goes on. Technology/science are not ends in themselves, and the positive ends they allow are going in reverse.
Something or set of things must specifically be going wrong wherever you live. It would probably be interesting to identify what.
There is no way to “align” human brains to your preferences. The Soviets tried it, the Chinese tried it, the Americans tried it. Nobody succeeded. The best you can do is attempt to sway the masses, but you’d better rely on positive messaging, because mass culture’s failure modes are even scarier than small subcultures.
Attempting to stamp out competing worldviews leads a certain kind of (relatively common) person to dig even harder for forbidden knowledge. If you’re not careful this will lead people directly to the arms of your geopolitical enemies, as it’s not possible to fully stamp out their narratives—they have a big budget!
You can’t escape fringe beliefs, but admittedly it seems like there were fewer of them in the USSR. Or maybe they were just ignored, poorly documented, or still untranslated.
I'm talking mostly from a East German perspective in the late 70s and 80s (so quite late). I actually need to find out whether Lysenkoism was taken seriously in 1950's East Germany or whether it was silently ignored (open rebellion wouldn't have gone well with the 'Big Brother' in the East).
But the communists are smarter than the free world, at least the Americans, which I take it to represent the peak of capitalism and western liberal traditions. The PRC literacy rate is 96.67%, the USA is 79%. In 1937 the Soviet literacy rate was 75%, the USA appears to have been 97% literate then? [1] so somehow the Americans have become nearly as illiterate as a recently industrialized nation of peasants.
Ah, apparently late 70s literacy rate in the Soviet Union was 99.7%. [2].
> but nobody believed in communism either
I really recommend reading some Mao/Stalin era publications, not just from folks like Lenin but general notes from standing committees or national congresses. Even today the national congress of the PRC will get into all sorts of debates about communism. I don't believe their current system is socialist, but they sure do, and there's no doubt that there were a lot of true believers around Mao. I strongly doubt the cultural revolution or red guard could have happened without a lot of peasants genuinely believing in the cause.
[1] https://nces.ed.gov/naal/lit_history.asp#illiteracy
[2] https://www.degruyterbrill.com/document/doi/10.1515/sem-2016...
Edit: Cuba's literacy rate is 98% lol https://data.worldbank.org/indicator/SE.ADT.LITR.ZS?location...
This should be obvious if you’ve ever been to a restaurant or airport in the USA, do you really think 1 in 5 adults can’t read a menu?
Very few. They are louder online. I have never met one in real life.
Yes, the internet does spread misinformation, but I think its pessimistic to think it outweighs the benefits. A lot of the problems are economic and social at the core too.
No. Lots of knowledge is still behind paywalls or not yet digitized. Some models have been trained on books that we cannot search or download.
And even more people believe there's an old man on a cloud judging everyone, so what?
Burden of proof is on the person making the assertion in both cases, but we can’t prove without a doubt that god doesn’t exist even if we don’t feel there’s enough evidence to suggest he is. There is, however, concrete evidence the earth isn’t flat, so no matter who the burden is on it’s demonstrably false.
Put another way: You can concretely observe without a doubt that not only is the earth not flat, but also that it can’t be flat. We can’t confidently say god can’t exist.
(a) "I can prove earth is not flat" (using this methodology) (b) I cannot prove there is no God, though I may believe the prevalence of evidence does not support the hypothesis, there's no scientific test that I can design.
This is essentially Descartes evil demon issue. If you can't disprove that an evil demon (with god-level powers) is deceiving you at everything you perceive, then how are you going to be sure about anything? (including that the Earth is not flat?)
It has always been a difficult philosophical issue about how much we can trust reality itself.
I can disprove that the Earth is flat with the incredibly varied, concrete, observable evidence that it is not. It comes in many forms and is undeniable, hence the lengths flat earthers have to go to to “prove” the evidence is all just a collection of lies that serve some nebulous, nefarious purpose (they don’t even agree on what that is) that serves some faceless evil group they prop up (usually “the deep state” or Jewish people). On the other hand, I do not have concrete, observable evidence that God does not exist. That’s the thrust of my point.
Perhaps you might think this is bullshit because *obviously* this world is real and not an illusion and there is *obviously* no evil demon to deceive us into thinking the Earth is spherical instead of flat.
And yes this is what philosophers do. Nobody here is arguing that such demon exists and is actually deceiving us, but since you've accepted you can't prove god doesn't exist (maybe mis-step for you since you're probably not the philosopher type), well, can you prove such demon doesn't exist? Seems to me the same thing.
I'd take those over the people who want to shove AI down our throats any day of the week!
You could be right, but I don’t think it’s going to be Microsoft that’ll be the leader here.
There was a meme going around last week where a child saw a phone calculator app and remarked "wow there's an AI just for math".
Generalizing, they're using chat for everything else, like search. Actually reading a source is not on their radar.
This is frightening. A whole generation that will not, and can not, think. At all. "Do it for me."
It's a "callous view," it's reality. Social media, entertainment/streaming/media, gaming, and porn make up the vast majority of minutes spent on the internet, and it's not even close.
Saving time (==saving money) is something you can sell to companies. But above all, they are willing to spend on saving their managers time. The higher up the hierarchy, the better. If that involves wasting a lot more time for the underlings, then so be it. The underlings aren't the ones making the purchasing decisions after all
but they will gladly take the productivity hit from that time sink because it gives them teh ability to track employees. they'd rather know that everybody is working at 80% productivity than release that burden and just trust them. it's either this or filling out frustrating timesheets.
They literally implemented the most orthodox scrum you can imagine, with the one exception that they could sit on the sprint planning meetings and override the teams pulling tickets off the backlog into sprints (technical debt of course started to pile up).
The kicker is that after a few months of this, productivity slowed to a crawl. The retrospectives showed that the planning wasn't working because the planned work rarely got done - because we were always fighting fires. Work also slowed due to all the overhead that was added to implement scrum (I also had to participate, despite being in an DevOps role - that at the best of times is inherently interrupt driven and I'm servicing the work of developers). Despite the fact that the powers that be knew things were not working as well as they used to, no amount of feedback could loosen the reigns - probably because it inherently meant losing some control. We had to try everything else to get back to where we were, when empowered developers could make decisions. Things got worse of course as within 6 months we lost half our most experienced talent that wasn't going to put up with it (this was the peak 2022 tech hiring levels).
Eventually there was some mild "improvement" as we were allowed a "15% time" to work on what we thought was best, which still had to be justified and it was still the lowest priority during any given sprint. I still shake my head at the whole situation.
For what its worth I wish Apple would care more about those of us that want to use AI to actually do work and not these weird contrived examples asking if focaccia can be made gluten free. And I personally couldn't care less what Microsoft does as I'm lucky enough to never have to use their products outside of Github.
Microsoft is still simply one of the very best at enterprise dealmaking.
Certainly the copilot button in ms paint did nothing to attract the clawbot ecosystem to windows
OpenAI's ChatGPT is AI consumer software and is a hit, albeit mostly free tier users.
And yes, ChatGPT is a hit but who will subsidize the hardware for freeloaders, Google's (cheap to run) AI is good enough now that I don't need to move over to ChatGPT for simple answers, thus the Google moat will probably remain intact denying OpenAI the search revenue stream all whilst OpenAI proposals/trials to add ADs were met with annoyance.
AI where useful is becoming a commodity, Apple did the correct thing in waiting and using the commodity parts and we're otherwise also quickly heading to the bubble's pop, HN even censoring articles on the topic sure seems to be an indicator that those in power are afraid.
Apple doesn't leak much but there has been coverage of this:
https://spyglass.org/apple-ai-fail/ (April 2025)
https://www.theinformation.com/articles/apple-fumbled-siris-... (paywalled)
https://appleinsider.com/articles/26/06/07/one-fateful-meeti... (2 days ago)
Well, the results[1] are[2] actually[3] in. Samsung of course did do that and the results are what you'd expect.
So in a sense Apple 'could' have released what they had, after all Samsung and others have, but almost certainly not at the level of quality Apple expects. In which case arguably not releasing until it is capable of reaching that quality bar is the right call. The wrong call was announcing it in the first place when it wasn't ready.
[1] https://www.reddit.com/r/samsung/comments/1b4zc1j/new_ai_tex... [2] https://tech.yahoo.com/ai/articles/awful-galaxy-s24-feature-... [3] https://www.androidauthority.com/im-tired-pretending-galaxy-...
Of all the things they could build, why must they pick this future...
Wrong. It definitely wasn't 50%. This number seems to grow each time I see it referenced. The Stasi directly or indirectly employed about 2% of the population, which is still huge. But /The Lives of Others/ takes a lot of artistic license. The true levels will never be known, but the largest and most widely quoted figure is 1 in 6.5 or about 15%. That derives from one historian's estimate, which was that at the upper bound, 1 in 6.5 people had in some way made a report to the government that in some way made it to the Stasi. I'm sure 15% of the people in any developed country have called the police at some point in their life.
This is also assuming no duplicates, you really think the Stasi could uniquely identify and disambiguate informants at this scale? And that every Stasi low level officer tasked with recruiting new informants or else actually recruited new informants instead of making them up and keeping the payouts for themselves?
And because I have to say it: authoritarian surveillance is bad, the Stasi was bad, this is not an apology or minimization, but a correction of historical facts.
I think agents are scary and complicated and dangerous enough that it is genuinely scary to give an agent an instruction like go buy this ticket. It’s okay and apple can easily simplify and eventually win. The mainstream hasn’t really started using agents yet and no one has come close to delivering a platform that will get them there.
you will be surrounded by an ecosystem of
devices, none of which stand alone, but are
more like portals to interact with your agents
And then a minute later I could ask it "Is copilot done yet?" and it replies "No, looks like it is still working on it". And then a minute later I ask again. It replies "Yes, it finished. It changed chart.py and styles.css. Do you want me to tell you what specific changes it made to the files?".
But it looks like none of the chat agents with voice interface have such a connector at the moment? An SSH connector would be the most useful. But a "GitHub Codespace connector" or something like that would also do.
I wonder if that will be a missing piece for long. If so, I would build an agent with voice mode and ssh connector myself. But I guess it should come out from the big guys any moment now?
A verbal diff sounds practically useless. Does it first read out the entire left-hand base, and then read out the entire right-hand target? Does it say loudly "REMOVING ... ADDING ... "? How would it read out something like Struct->Field? This seems lower fidelity than a visual confirmation, and I just don't think that voice commands make sense with this kind of work.
"It changed the plot function so it takes another parameter called linewidth. It also added an input field in the stylecontrols section where the user can ...".
Every time I try to take a hands-off approach to the code like this, I come to regret it later. The code ends up bloated and labyrinthine. When I let it grow unabated, it becomes gradually more difficult for the LLM to understand the intended structure as the project becomes too big for the model to keep the whole thing in its context.
How would you detect the
presence of bugs in this
scenario?
How would you make sure the LLM
isn't adding yet another
useless, redundant function to
the code base?
Please don't tell me that never happens-- I've had one just in the last week and I use both OpenAI and Anthropic foundation models.
In fact, I usually let multiple LLMs implement the same feature, and then I compare them. I even run my own arena in which I calculate Elo scores for LLMs from my perspective of which one implemented features better.
Having the ability to control code agents via voice would not take away my ability to do that. But I think in the future, that will become less and less necessary. If we look back at this conversation in five years, it will look very archaic, and we will be used to having superhuman AI do everything for us. In 10 years, it will sound like a strange idea that humans were once fiddling with code to improve the quality.
Something something taking the crafts and the man out of craftsmanship to just get it out the door as quickly as possible.
All jest aside I mostly agree with you but I'd tack on another 20 years for a total of 30.
Though in this technological jump I don't think people are as excited (understandably) as when the teletype came on scene. I too like the potential but dislike the whole discourse around it, the ethics involved and the way it's deployed. Such is life I suppose.
For stuff that can't be run on phones, some of it will be run on Apple's servers, which I'm assuming Apple is eating the cost of for the time being.
Stuff that needs heavy reasoning or external knowledge will be processed by google, in exchange for $1 billion a year. However Google already pays Apple $20 billion a year for google to be the default iOS search engine, so you could view this as just changing to google paying $19 billion a year instead.
> PCC delivers a powerful server model without compromising privacy: data is never stored, used only for the request, and independently verified. It's integrated with the OS and iCloud, so there's no authentication or API keys, no token cost to developers, a daily per-user limit (higher with iCloud+), and eligibility for apps under 2M downloads.
Source: summary on https://developer.apple.com/videos/play/wwdc2026/319/
I haven’t seen any information about what’s happening with apps over 2M downloads, who graduate from the Small Business Program. https://developer.apple.com/app-store/small-business-program...
And even if the assumption turns out to be wrong, they can just scale down and serve dumber and cheaper models. Shrinkflation is not a novel idea.
Some of it is free on-device. Some of it is free & rate limited per day. They mentioned in the WWDC infomercial that users with iCloud+ (the storage tier subscriptions, Apple likes to throw random things in with that) will be able to get more uses per day. And some of it developers will pay for.
Just not doing it for me. Think I'm gonna stop reading anything he says.
Edit: missing words, thinking faster than typing
I don't care about a twice a week podcast about the NBA and national parks, or the other 5? podcasts about random stuff.
My problem is part style, and part content. Stratechery reads like it's written to be narrated - rather than exist first as writing. There's verbosity, pauses, long sentences, etc. And then you listen to the narration it makes sense.
But that complexity makes reading harder. Not saying everything needs to be 5th-grade-level, but complexity isn't required. Paste a Stratechery article into Hemingway Editor to visualize my point.
The stats below:
Readibility - Post-Graduate (aim for 9)
26 of 44 sentences very hard to read
8 of 88 sentences hard to read
31 weakeners
6 words with simpler alternatives
What a chore to cover, and that's without commenting on the ideas/concepts in the content.
I'm sure some folks like this writing style but I don't. And try hard to write my newsletter and other prose with far less complexity.
He was disappointed in the Apple vision pro for just being an entertainment device (it seems like you two agree there?)
And then the interviews by media of tech should be viewed as an iterated game. He can ask interesting questions for an analyst, but he (and Nilay) do depend on access and that fundamentally constrains what types of questions they can ask if they want continued access
> Just not doing it for me. Think I'm gonna stop reading anything he says.
Pretty sane take tbh
But when it comes to anything around consumer behavior, individuals, etc, i.e. the average family in America, he is often completely and utterly wrong in all his takes and predictions. In fact, so wrong it's often laughable, and amazes me that he is so confident in his predictions.
Also, in the podcast I've noticed that he talks almost every podcast about his "hits", i.e. his times in the past where he predicted something accurately. But never, ever mentions the times where he was completely wrong. He's like the dictionary definition of confirmation bias (or survivorship bias).
It's like he's gotten overly confident (or a little arrogant) as he's become more of a tech celebrity, to the point where he thinks he's some sort of Nostradamus now and doesn't recognize his weaknesses or failures. And I've personally stopped listening to the podcasts as much as it's getting a little tiresome.
BTW, I also noticed how often he is wrong on deep tech topics, e.g. his explanation of IP addresses and routing in one podcast. It's like he thinks his business knowledge + Claude is enough for him to authoritatively discuss how technical systems work, and he often is mistaken...
Yeah might as well cancel your subscription if you’re not gonna read it
Yes the chassis had to be designed, but that can be used in common for future iterations. That's much harder for phones where the chassis is very tightly coupled to the specific circuit board design.
The 17e already is the cheap iPhone and it's $599. Putting it's internals in a different shell is one thing. Designing and building a half price internal board is quite another, especially as it would either require an entirely new SOC, or mean continuing production of a legacy SOC thus taking up valuable die production pipeline capacity.
Even if they did use an older SOC. Now they'd have to continue supporting that anaemic underpowered SOC with OS updates for years to come, and these future OS updates would have to run well on it.
I don't see it happening.
The case of smartphones is completely different: Android is actually a good OS and there's plenty of excellent devices and high quality brands in the mid range.
I came here to talk about this, like some other commenters did, too :) I think that this _is_ a predominant view amongst most of Silicon Valley but I think it's kind of a local maxima view... Easy to agree with, easy to see that it's a functional idea, but... people... (i.e. consumers) do lots more than just waste time on their phones even though I bet that's a huge amount of what people are doing across the US right now.
I guess the thing that _is_ true about this nugget is the "at scale" part. It's hard to find things _at scale_ that people would pay for on a phone. So the phone sort of falls back into this easy to monetize thing via advertising. But I think people (qua consumers) probably can clearly be a sustainable market for way more than attention harvesting (or dopamine fracking!) but it requires a lot more effort to think of things that you can build a market out of there. So people sort of lazy-back into attention harvesting via ads.
You might re-title the article instead, "The iPhone holds its ground", and it would be a more realistic title. But perhaps garnering less clicks.
I've always thought Ben Thompson is strong on enterprise and b2b topics but super weak on everything consumer related, he simply doesn't seem to understand consumer behavior (he has zero empathy or ability to project his mind into the average person's mind)
E.g. Ben was sure iPhone air would be a massive hit because he himself loved it. (It's struggled as people don't like the smaller battery life).
Ben was sure the Vision Pro would be a huge hit because he himself loved it. (It was a total failure as the average person doesnt want to pay huge amounts for a ridiculous looking dork helmet).
Ben raving about Meta's hand controller which he was sure was going to be the future of consumer electronics (The Neural Band). He was discussing how you could use it while your hand is in your jeans/pants pocket. Not quite thinking about how this would look while you're sat on the subway with someone sat opposite you.
Ben discussing how the future of watching sports is in VR. Not considering how weird it would be to go to a friends house to watch the game and everyone has their own VR headset. Also not considering the fun of watching sports is doing it with other people.
Basically, he has a huge issue with extracting his own liking of techy products to the average consumer who are basically nothing like Ben Thompson.
The Air was interesting because everyone I've seen hold it, loves it. But, everyone also loves battery life and the best camera more. The Air is proof of that (similar with the mini lovers).
I know people are desperate for a Siri that works. The convince of just talking to your phone is priceless. If Apple gets this right, this is a huge deal – which it seems they are on the right track.
People are still talking to Siri for basic stuff like timers and alarms because it works, doesn't need an app, works when phone is locked or even away from you. If this works for more complex tasks like texting and general questions Apple will have the upper hand over Meta and Google in this new way of using computers/internet.
Apple also took a very clever approach for Capex and general AI strategy. Everyone knows that the best intelligence will eventually become a commodity and Apple decided to step aside from this expensive experiment. That's worth pointing out too.
Just because you like something, doesn't mean it will succeed. These people will more likely using some sort of industry knowledge to form conclusion which conforms with their bias.
On the flip side, just because you hated something doesn't mean it will fail. There are plenty of Apple haters who will write things that seems to make sense but completely misses the mark every single time.
- iPhone Air to cram everything into a small space
- Vision pro - a new OS for looking at things and interacting
- Better Siri and AI that works with voice
- Smart local model / routing to big models in the cloud
- integration with wearables (air pods and watches)
(I do hate camera glasses though.)
lol no you did not. A whole lot of nothing.
iPadOS also did not receive any product specific updates because I think Apple understands that device well: it’s also a consumption device with a bit more productivity capability. They know they can ship a full macOS on iPad, as witnessed by the lower performance A18 chip in the Neo running the full OS, but what’s the point? Using a desktop UI with a touch interface is terrible. So you’d need a mouse and keyboard. By the time you get that accessory, you’ve already exceeded the cost of a Neo or MacBook Air. There’s also no size, weight or space difference between a fully accessorized iPad and MacBook Neo, Air or 14” Pro.
I think Apple will be fine regardless of whether this new Siri AI stuff actually works well or not. I think deep down they don’t really care because they don’t have to. All of their devices are perfect clients that can interact perfectly fine with cloud inference. And their devices are such a joy to use. That’s what Apple is good at.
Now the confusing part is the new Microsoft hardware project. Is Solara a laptop? Tablet? 2-in-1? Phone? They already have a great hardware run with Surface, so I wonder if this new project is a more powerful local inference push?
I disagree strongly here. The chatbot is the furthest thing from sufficient for the average consumer. Take the newly announced feature that groups your compromised passwords together and offers to agentically change them all for you. Really cool! Could you do that via a chatbot interface? Sure. Would the average consumer? No.
first paragraph begins the article upon 2 very big and flawed statements:
> Apple fans would, for years and years, sneer at Microsoft’s penchant for talking about products that may or may not ship, deriding them as vaporware.
maybe some would, but as a whole I would say this is not a common thing
> After Apple’s bungled 2024 launch of Apple Intelligence and new Siri, however, vaporware is fair game
no it's not
I didn't know about Project Solara so learned a new thing from the article, but I got the impression that it's not as big as the author tried to make it seem, felt very distant and forced.
I wonder if the bigger question is what happens to us.
Convenience is great, but if we optimize away every moment of reflection, tradeoff, and decision-making, we risk becoming passengers in our own lives. The goal shouldn’t be to hand over our judgment to increasingly capable systems. It should be to use those systems to help us think more clearly and act more intentionally.
The future I want isn’t one where AI lives my life for me. It’s one where it helps me live it better.