I also find these features annoying and useless and wish they would go away. But that's not because LLMs are useless, nor because the public isn't using them (as daishi55 pointed out here: https://news.ycombinator.com/item?id=44479578)
It's because the integrations with existing products are arbitrary and poorly thought through, the same way that software imposed by executive fiat in BigCo offices for trend-chasing reasons has always been.
Having seen the almost rabid and fearful reactions of product owners first hand around forcing AI into every product, it’s because all these companies are in panic mode. Many of these folks are not thinking clearly and have no idea what they’re doing. They don’t think they have time to think it through. Doing something is better than nothing. It’s all theatre for their investors coupled with a fear of being seen as falling behind. Nobody is going to have a measured and well thought through approach when they’re being pressured from above to get in line and add AI in any way. The top execs have no ideas, they just want AI. You’re not even allowed to say it’s a bad idea in a lot of bigger companies. Get in line or get a new job. At some point this period will pass and it will be pretty embarrassing for some folks.
At work we started calling this trend clippification for obvious reasons. In a way this aligns with your comment: The information provided by Clippy was not necessarily useless, nevertheless people disliked it because (i) they didn't ask for help (ii) and even if by any chance they were looking for help, the interaction/navigation was far from ideal.
Having all these popups announcing new integrations with AI chatbots showing up while you are just trying to do your work is pretty annoying. It feels like this time we are fighting an army of Clippies.
I am a huge AI supporter, and use it extensively for coding, writing and most of my decision making processes, and I agree with you. The AI features in non-AI-first apps tend to be awkward bolt-ons, poorly thought out and using low quality models to save money.
I don't want shitty bolt-ons, I want to be able to give chatgtp/claude/gemini frontier models the ability to access my application data and make api calls for me to remotely drive tools.
> The AI features in non-AI-first apps tend to be awkward bolt-ons, poorly thought out and using low quality models to save money.
The weirdest location I've found the most useful LLM-based feature so far has been Edge with it's automatic tab grouping. It doesn't always pick the best groups and probably uses some really small model, but it's significantly faster and easier than anything that I've had so far.
I hope they do bookmarks next and that someone copies the feature and makes it use a local model (like Safari or Firefox, I don't even care).
How do you get outsourcing from this? Maybe they're using it to organize their thoughts, explore alternatives. Nowhere do they say they're not still making the decisions themselves.
The major issue with AI technology is the people. The enthusiasts that pretend issues don't exist, the cheap startups trying to sell snake oil.
The AI community treats potential customers as invaders. If you report a problem, the entire thing turns on you trying to convince you that you're wrong, or that you reported a problem because you hate the technology.
It's pathetic. It looks like a viper's nest. Who would want to do business with such people?
Good point. Also, the fact that I’m adamant that one cannot fly a helicopter to the moon doesn’t mean that I think helicopters are useless. That said, if I’m inundated everyday with people insisting that one CAN fly a helicopter to the moon or that that capability is just around the corner, I might get so fed up that i say F it, I don’t want to hear another F’ing word about helicopters even though I know that helicopters have utility.
Couldn’t agree more. There are awesome use-cases for AI, but Microsoft and Google needed to shove AI everywhere they possibly could, so they lost all sense of taste and quality. Google raised the price of Workspace to account for AI features no one wants. Then, they give away access to Gemini CLI for free to personal accounts, but not Workspace accounts. You physically cannot even pay Google to access Veo from a workspace account.
Raise subscription prices, don’t deliver more value, bundle everything together so you can’t say no. I canceled a small Workspace org I use for my consulting business after the price hike last year; also migrating away everything we had on GCP. Google would have to pay me to do business with them again.
> It's because the integrations with existing products are arbitrary and poorly thought through, the same way that software imposed by executive fiat in BigCo offices for trend-chasing reasons has always been.
It's just rent-seeking. Nobody wants to actually build products for market anymore; it's a long process with a lot of risk behind it, and there's a chance you won't make shit for actual profit. If however you can create a "do anything" product that can be integrated with huge software suites, you can make a LOT of money and take a lot of mind-share without really lifting a finger. That's been my read on the "AI Industry" for a long time.
And to be clear, the integration part is the only part they give a shit about. Arguably especially for AI, since operating the product is so expensive compared to the vast majority of startups trying to scale. Serving JPEGs was never nearly as expensive for Instagram as responding to ChatGPT inquiries is for OpenAI, so they have every reason to diminish the number coming their way. Being the hip new tech that every CEO needs to ram into their product, irrespective of it does... well, anything useful, while also being so frustrating or obtuse for users to actually want to use, is arguably an incredibly good needle to thread, if they can manage it.
And the best part is, if OpenAI's products do actually do what they say on the tin, there's a good chance many lower rungs of employment will be replaced with their stupid chatbots, again irrespective of whether or not they actually do the job. Businesses run on "good enough." So it's great, if OpenAI fails, we get tons of useless tech injected into software products already creaking under the weight of so much bullhockety, and if they succeed, huge swaths of employees will be let go from entry level jobs, flooding the market, cratering the salary of entire categories of professions, and you'll never be able to get a fucking problem resolved with a startup company again. Not that you probably could anyway but it'll be even more frustrating.
And either way, all the people responsible for making all your technology worse every day will continue to get richer.
This is not an AI problem, this is a problem caused by extremely large piles of money. In the past two decades we have been concentrating money in the hands of people who did little more than be in the right place at the right time with a good idea and a set of technical skills, and then told them that they were geniuses who could fix human problems with technological solutions. At the same time we made it impossible to invest money safely by making the interest rate almost zero, and then continued to pass more and more tax breaks. What did we expect was going to happen? There are only so many problems that can be solved by technology that we actually need solving, or that create real value or bolster human society. We are spinning wheels just to spin them, and have given the reins to the people with not only the means and the intent to unravel society in all the worst ways, but who are also convinced that they are smarter than everyone else because they figured out how to arbitrage the temporal gap between the emergence of a capability and the realization of the damage it creates.
> This is not an AI problem, this is a problem caused by extremely large piles of money.
Those are two problems in this situation that are both bad for different reasons. It's bad to have all the money concentrated in the hands of a tiny number of losers (and my god are they losers) and AI as a technology is slated to, in the hands of said losers, cause mass unemployment, if they can get it working good enough to pass that very low bar.
It's annoying having AI features force fed I imagine but it's come about due to many of the public liking some AI - apparently ChatGPT now has 800 million weekly users (https://www.digitalinformationworld.com/2025/05/chatgpt-stat...) and then competing companies think they should try to keep up.
I say I imagine it's annoying because I've yet to actually be annoyed much but I get the idea. I actually quite like the Google AI bit - you can always not read it if you don't want to. AI generated content on youtube is a bit of a mixed bag - it tends to be kinda bad but you can click stop and play another video. My office 2019 is gloriously out of date and does that stuff I want without the recent nonsense.
Just moments ago I noticed for the first time that Gmail was giving me a summary of email I had received.
Please don't. I am going to read this email. Adding more text just makes me read more.
I am sure there's a common use case of people who get a ton of faintly important email from colleagues. But this is my personal account and the only people contacting me are friends. (Everyone else should not be summarized; they should be trashed. And to be fair I am very grateful for Gmail's excellent spam filtering.)
How long before spam filtering is also done by an LLM and spammers or black hat hackers embed instructions into their spam mails to exploit flaws in the AI?
"There ought to be a law" is why we have nanny-state government. I imagine that is why there have been "no spitting" and "no chewing gum" laws on the books.
People going to lord it over others in the pursuit of what they think is proper.
Society is over-rated, once it gets beyond a certain size.
Along the same lines, I am currently starting my morning with blocking ranges of IP addresses to get Internet service back, due to someone's current desire to SYN Flood my webserver, which being hosted in my office, affects my office Internet.
It may soon come to a point where I choose to block all IP addresses except a few to get work done.
The major AI gatekeepers, with their powerful models, are already experiencing capacity and scale issues. This won't change unless the underlying technology (LLMs) undergoes a fundamental shift. As more and more things become AI-enabled, how dependent will we be on these gatekeepers and their computing capacity? And how much will they charge us for prioritised access to these resources? And we haven't really gotten to the wearable devices stage yet.
Also, everyone who requires these sophisticated models now needs to send everything to the gatekeepers. You could argue that we already send a lot of data to public clouds. However, there was no economically viable way for cloud vendors to read, interpret, and reuse my data — my intellectual property and private information. With more and more companies forcing AI capabilities on us, it's often unclear who runs those models and who receives the data and what is really happening to the data.
This aggregation of power and centralisation of data worries me as much as the shortcomings of LLMs. The technology is still not accurate enough. But we want it to be accurate because we are lazy. So I fear that we will end up with many things of diminished quality in favour of cheaper operating costs — time will tell.
We run our own LLM server at the office for a month now, as an experiment (for privacy/infosec reasons), and a single RTX 5090 is enough to serve 50 people for occasional use. We run Qwen3 32b which in some benchmarks is equivalent to GPT 4.1-mini or Gemini 2.5 Flash. The GPU allows 2 concurrent requests at the same time with 32k context each and 60 tok/s. At first I was skeptical a single GPU would be enough, but it turns out, most people don't use LLMs 24/7.
If those smaller models are sufficient for your use cases, go for it. But for how much longer will companies release smaller models for free? They invested so much. They have to recoup that money. Much will depend on investor pressure and the financial environment (tax deductions etc).
Open Source endeavors will have a hard time to bear the resources to train models that are competitive. Maybe we will see larger cooperatives, like a Apache Software Foundation for ML?
It's not just about smaller models. I recently bought a Macbook M4 Max with 128GB RAM. You can run surprisingly large models locally with unified memory (albeit somewhat slowly). And now AMD has brought that capability to the X86 world with Strix. But I agree that how long Google, Meta, Alibaba, etc. will continue to release open weight models is a big question. It's obviously just a catch-up strategy aimed at the moats of OpenAI and Anthropic, once they catch up the incentive disappears.
Pricing for commodities does not allow for “recouping costs”. All it takes is one company seeing models as a complementary good to their core product, worth losing money on, and nobody else can charge more.
I’d support an Apache for ML but I suspect it’s unnecessary. Look at all of the money companies spend developing Linux; it will likely be the same story.
Even Google and Facebook are releasing distills of their models (Gemma3 is very good, competitive with qwen3 if not better sometimes.)
There are a number of reasons to do this: You want local inference, you want attention from devs and potential users etc.
Also the smaller self hostable models are where most of the improvement happens these days. Eventually they'll catch up with where the big ones are today. At this point I honestly wouldn't worry too much about "gatekeepers."
"Maybe we will see larger cooperatives, like a Apache Software Foundation for ML?"
I suspect the Linux Foundation might be a more likely source considering its backers and how much those backers have provided LF by way of resources. Whether that's aligned with LF's goals ...
"Just" is doing a lot of heavy lifting there. It definitely helps with getting data but actually training your model would be very capital intensive, ignoring the cost of paying for those outputs you're training on.
What the parent poster means is that you can use the API to generate many question/answer pairs on which you then train your own model. For a more detailed explanation of this and other related methods, I can recommend this paper: https://arxiv.org/pdf/2402.13116
You don't understand what Gigachad is talking about. You can buy API credits to gain access to a model in the cloud, and then use that to train your own local model though a process called distilling.
Quants: Unsloth Dynamic 2.0, it's 4-6 bits depending on the layer.
RAM is 96 GB: more RAM makes a difference even if the model fits entirely in the GPU: filesystem pages containing the model on disk are cached entirely in RAM so when you switch models (we use other models as well) the overhead of unloading/loading is 3-5 seconds.
The Key Value Cache is also quantized to 8 bit (less degrades quality considerably).
This gives you 1 generation with 64k context, or 2 concurrent generations with 32k each. Everything takes 30 GB VRAM, which also leaves some space for a Whisper speech-to-text model (turbo & quantized) running in parallel as well.
Thanks a lot. Interesting that without concurrent requests the context could be doubled, 64k is pretty decent for working on a few files at once. A local LLM server is something a lot of companies should be looking into I think.
"how much will they charge us for prioritised access to these resources"
For the consumer side, you'll be the product, not the one paying in money just like before.
For the creator side, it will depend on how competition in the market sustains. Expect major regulatory capture efforts to eliminate all but a very few 'sanctioned' providers in the name of 'safety'. If only 2 or 3 remain, it might get realy expensive.
> The major AI gatekeepers, with their powerful models, are already experiencing capacity and scale issues. This won't change unless the underlying technology (LLMs) undergoes a fundamental shift. As more and more things become AI-enabled, how dependent will we be on these gatekeepers and their computing capacity? And how much will they charge us for prioritised access to these resources? And we haven't really gotten to the wearable devices stage yet.
The scale issue isn't the LLM provider, it's the power grid. Worldwide, 250 W/capita. Your body is 100 W and you have a duty cycle of 25% thanks to the 8 hour work day and having weekends, so in practice some hypothetical AI trying to replace everyone in their workplaces today would need to be more energy efficient than the human body.
Even with the extraordinarily rapid roll-out of PV, I don't expect this to be able to be one-for-one replacement for all human workers before 2032, even if the best SOTA model was good enough to do so (and they're not, they've still got too many weak spots for that).
This also applies to open-weights models, which are already good enough to be useful even when SOTA private models are better.
> You could argue that we already send a lot of data to public clouds. However, there was no economically viable way for cloud vendors to read, interpret, and reuse my data — my intellectual property and private information. With more and more companies forcing AI capabilities on us, it's often unclear who runs those models and who receives the data and what is really happening to the data.
I dispute that it was not already a problem, due to the GDPR consent popups often asking to share my browsing behaviour with more "trusted partners" than there were pupils in my secondary school.
But I agree that the aggregation of power and centralisation of data is a pertinent risk.
I agree with the general gist of this piece, but the awkward flow of the writing style makes me wonder if it itself was written by AI…
There are open source or affordable, paid alternatives for everything the author mentioned. However, there are many places where you must use these things due to social pressure, lock-in with a service provider (health insurance co, perhaps), and yes unfortunately I see some of these things as soon or now unavoidable.
Another commenter mentioned that ChatGPT is one of the most popular websites on the internet and therefore users clearly do want this. I can easily think of two points that refute that:
1. The internet has shown us time and time again that popularity doesn’t indicate willingness to pay (which paid social networks had strong popularity…?)
2. There are many extremely popular websites that users wouldn’t want to be woven throughout the rest of their personal and professional digital lives
It's like talking into a void. The issue with AI is that it is too subtle, too easy to get acceptable junk answers and too subtle for the majority to realize we've made a universal crib sheet, software developers included, perhaps one of the worst populations due to their extremely weak communications as a community. To be repeatedly successful with AI, one has to exert mental effort to prompt AI effectively, but pretty much nobody is willing to even consider that. Attempts to discuss the language aspects of using an LLM get ridiculed as 'prompt engineer is not engineering' and dismissed, while that is exactly what it is: prompt engineering using a new software language, natural language, that the industry refuses to take seriously, but is in fact an extremely technical programming language so subtle few to none of you realize it, nor the power that is embodied by it within LLMs. They are incredible, they are subtle, to the degree the majority think they are fraud.
Isn't "Engineering" is based on predictability, on repeatability?
LLMs are not very predictable. And that's not just true for the output. Each change to the model impacts how it parses and computes the input. For someone claiming to be a "Prompt Engineer", this cannot work. There are so many variables that are simply unknown to the casual user: training methods, the training set, biases, ...
If I get the feeling I am creating good prompts for Gemini 2.5 Pro, the next version might render those prompts useless. And that might get even worse with dynamic, "self-improving" models.
So when we talk about "Vibe coding", aren't we just doing "Vibe prompting", too?
> LLMs are not very predictable. And that's not just true for the output.
If you run an open source model from the same seed on the same hardware they are completely deterministic. It will spit out the same answer every time. So it’s not an issue with the technology and there’s nothing stopping you from writing repeatable prompts and promoting techniques.
> If you run an open source model from the same seed on the same hardware they are completely deterministic.
Are you sure of that? Parallel scatter/gather operations may still be at the mercy of scheduling variances, due to some forms of computer math not being associative.
By "unpredictability", we mean that AIs will return completely different results if a single word is changed to a close synonym, or an adverb or prepositional phrase is moved to a semantically identical location, etc. Very often this simple change will move you from "get the correct answer 90% of the time" (about the best that AIs can do) to "get the correct answer <10% of the time".
Whenever people talk about "prompt engineering", they're referring to randomly changing these kinds of things, in hopes of getting a query pattern where you get meaningful results 90% of the time.
What you're describing is specifically the subtle nature of LLMs I'm pointing at; that changing of a single word to a close synonym is meaningful. Why and how they are meaningful gets pushback from the developer community, they somehow do not see this as being a topic, a point of engineering proficiency. It is, but requires an understanding of how LLMs encode and retrieve data.
The reason changing one word in a prompt to a close synonym changes the reply is because it is the specific words used in a series that is how information is embedded and recovered by LLMs. The 'in a series' aspect is subtle and important. The same topic is in the LLM multiple times, with different levels of treatment from casual to academic. Each treatment from casual to formal uses different words, similar words, but different and that difference is very meaningful. That difference is how seriously the information is being handled. The use of one term versus another term causes a prompt to index into one treatment of the subject versus another. The more formal the terms used, meaning the synonyms used by experts of that area of knowledge, generate the more accurate replies. While the close synonyms generate replies from outsiders of that knowledge, those not using the same phrases as those with the most expertise, the phrases used by those perhaps trying to understand but do not yet?
It is not randomly changing things in one's prompts at all. It's understanding the knowledge space one is prompting within such that the prompts generate accurate replies. This requires knowing the knowledge space one prompts within, so one knows the correct formal terms that unlock accurate replies. Plus, knowing that area, one is in a better position to identify hallucination.
What you are describing is not natural language programming, it's the use of incantations discovered by accident or by trial and error. It's alchemy, not chemistry. That's what people mean when they say it's not reproducible. It's not reproducible according to any useful logical framework that could be generally applied to other cases. There may be some "power" in knowing magical incantations, but mostly it's going to be a series of parlor tricks, since neither you nor anyone else can explain why one prompt produces an algorithm that spits out value X whilst changing a single word to its synonym produces X*-1, or Q, or 14 rabbits. And if you could, why not just type the algorithm yourself?
Higher level programming languages may make choices for coders regarding lower level functionality, but they have syntactic and semantic rules that produce logically consistent results. Claiming that such rules exist for LLMs but are so subtle that only the ultra-enlightened such as yourself can understand them begs the question: If hardly anyone can grasp such subtlety, then who exactly are all these massive models being built for?
Predictable does not necessarily follow from deterministic. Hash algorithms, for instance, are valuable specifically because they are both deterministic and unpredictable.
Relying on model, seed, and hardware to get "repeatable" prompts essentially reduces an LLM to a very lossy natural language decompression algorithm. What other reason would someone have for asking the same question over and over and over again with the same input? If that's a problem you need solve then you need a database, not a deterministic LLM.
Who's saying that the model stays the same and the seed is not random for most of the companies that run AI? There is no drawback to randomness for them.
The issue is that you have to put in more effort to solve a problem using AI, than to just solve it yourself
If I have to do extensive subtle prompt engineering and use a lot of mental effort to solve my problem... I'll just solve the problem instead. Programming is a mental discipline - I don't need help typing, and if using an AI means putting in more brainpower, its fundamentally failed at improving my ability to engineer software
> The issue is that you have to put in more effort to solve a problem using AI, than to just solve it yourself
conceding that this may be the case, there are entire categories of problems that i am now able to approach that i have felt discouraged from in the past. even if the code is wrong (which, for the most part, it isn't), there is a value for me to have a team of over-eager puppies fearlessly leading me into the most uninviting problems, and somehow the mess they may or may not create makes solving the problem more accessible to me. even if i have to clean up almost every aspect of their work (i usually don't), the "get your feet wet" part is often the hardest part for me, even with a design and some prototyping. i don't have this problem at work really, but for personal projects it's been much more fun to work with the robots than always bouncing around my own head.
Natural language is inherently a bad programming language. No developer, even with the absolute best AI tools, can avoid understanding the code that AI generates for very long
The only way to successfully use AI is to have sufficient skill to review the code it generates for correctness - which is a problem that is at least as skilful as simply writing the code
I don't think this is true. A lot of people had no interest until smartphones arrived. Doing anything on a smartphone is a miserable experience compared to using a desktop computer, but it's more convenient. "Worse but more convenient" is the same sales pitch as for AI, so I can only assume that AI will be accepted by the masses too.
People didn't even want mobile phones. In The Netherlands, there's a famous video of an interviewer asking people on the street ca. 1997 whether they would want a mobile phone. So not even a smartphone, just a mobile phone. The answer was overwhelmingly negative.
>there's a famous video of an interviewer asking people on the street ca. 1997 whether they would want a mobile phone. So not even a smartphone, just a mobile phone. The answer was overwhelmingly negative.
So people didn't want to be walking around with a tether that allowed the whole world to call them where ever they were? Le Shock!
Now if they'd asked people if they'd like a small portable computer they could keep in touch with friends and read books, play games, play music and movies on where ever they went which also made phone calls. I suspect the answer might have been different.
Is the problem really the phone, or everything but the actual phoning capability? Mobile phones were a thing twenty years ago and I didn't recall them being pulled out at the slightest gap in the conversation. I feel like the notifications and internet access caused the change, not the phone (or SMS for that matter).
Interesting you should say that. I found a Substack post earlier today along those lines [0].
I almost never take my phone with me, especially when with my wife and son, as they always have theirs with them, although with elderly parents not in the best of health I really should take it more.
But it's something I see a lot these days, in fact, the latest Vodafone ad in the uk has a bunch of lads sitting outside a pub and one is laughing at something on his phone. There's also a betting ad where the guy is making bets on his phone (presumably) while in a restaurant with others!
I find this normalized behaviour somewhat concerning for the future.
Yes it's the content delivered by the phone. My first mobile phones could only make calls. Not even text messaging was supported. So pretty obviously you're not going to pull out your phone and call someone during a lag in conversation unless you are just supremely rude or maybe it's a call to invite someone to come over and join the group. You might answer a call if you get one I suppose, but it would be fairly awkward. I do remember the people who always seemed to be on a mobile call, often with a headset of some sort, and thinking they were complete douchebags, but they stood out by being few in number.
As text, email, other messages, websites, Facebook, etc. became available the draw became stronger and so did the addiction and the normalization of looking at your phone every 30 seconds while you were with someone.
Did SNL or anyone ever do a skit of a couple having sex and then "ding" a phone chimes and one of them picks it up and starts reading the message? And then the other one grabs their phone and starts scrolling?
As a kid I had Internet access since the early 90s. Whenever there was some actual technology to see (Internet, mobile gadgets etc.) people stood there with big eyes and forgot for a moment this was the most nerdy stuff ever
Yes, everyone wanted the internet. It was massively hyped and the uptake was widespread and rapid.
Obviously saying “everyone” is hyperbole. There were luddites and skeptics about it just like with electricity and telephones. Nevertheless the dotcom boom is what every new industry hopes to be.
I was there. There was massive skepticism, endless jokes about internet-enabled toasters and the uselessness and undesirability of connecting everything to the internet, people bemoaning the loss of critical skills like using library card catalogs, all the same stuff we see today.
In 20 years AI will be pervasive and nobody will remember being one of the luddites.
I was there too. You’re forgetting internet addiction, pornography, stranger danger, hacking and cybercrime, etc.
Whether the opposition was massive or not, in proportion to the enthusiasm and optimism about the globally connected information superhighway, isn’t something I can quantify, so I’ll bow out of the conversation.
Toasters in fact dot need internet and jokes about them are entirely valid. Quite a lot of devices that dont need internet have useless internet slapped on them.
That’s my point. People are making the same mistake today: hey, there’s this idiotic use case, therefore the entire technology is useless and will be a fad.
I've seen this bad take over and over again in the last few years, as a response to the public reaction to cryptocurrency, NFTs, and now generative AI.
It's bullshit.
I mean, sure: there were people who hated the Internet. There still are! They were very clearly a minority, and almost exclusively older people who didn't like change. Most of them were also unhappy about personal computers in general.
But the Internet caught on very fast, and was very, very popular. It was completely obvious how positive it was, and people were making businesses based on it left and right that didn't rely on grifting, artificial scarcity, or convincing people that replacing their own critical thinking skills with a glorified autocomplete engine was the solution to all their problems. (Yes, there were also plenty of scams and unsuccessful businesses. They did not in any way outweigh the legitimate successes.)
By contrast, generative AI, while it has a contingent of supporters that range from reasonable to rabid, is broadly disliked by the public. And a huge reason for that is how much it is being pushed on them against their will, replacing human interaction with companies and attempting to replace other things like search.
>But the Internet caught on very fast, and was very, very popular. It was completely obvious how positive it was,
>By contrast, generative AI, while it has a contingent of supporters that range from reasonable to rabid, is broadly disliked by the public.
It is absolutely wild how people can just ignore something staring right at them, plain as day.
ChatGPT.com is the 5 most visited site on the planet and growing. It's the fastest growing software product ever, with over 500M Weekly active users and over a billion messages per day. Just ChatGPT. This is not information that requires corporate espionage. The barest minimum effort would have shown you how blatantly false you are.
What exactly is the difference between this and a LLM hallucination ?
As a note on Microsoft's obnoxious Copilot push, I too got the "Your 365 subscription price is increasing because we're forcing AI on you".
Only when I went to cancel[1], suddenly they made me aware that there was a "classic" subscription that was the normal price, without CoPilot. So they basically just upsized everyone to try to force uptake.
[1] - I'm in the AI business and am a user and abuser of AI daily, but I don't need it built directly into every app. I Already have AI subscriptions and local models and solutions.
ChatGPT is the 5th most-visited website on the planet and growing quickly. that’s one of many popular products. Hardly call that unwilling. I bet only something like 8% of Instagram users say they would pay for it. Are we to take this to mean that Instagram is an unpopular product that is rbi g forced on an unwilling public?
My 75 year old father uses Claude instead of google now for basically any search function.
All the anti-AI people I know are in their 30s. I think there are many in this age group that got use to nothing changing and are wishing it to stay that way.
Would you like your Facebook feed or Twitter or even Hacker News feed inserted in between your work emails or while you are shopping for clothes on a completely different website?
If you answer no, does that make you an unwilling user of social media? It’s the most visited sites in the world after all, how could randomly injecting it into your GPS navigation system be a poor fit?
Agreed. My mother and aunts are using ChatGPT all the time. It has really massive market penetration in a way I (a software engineer and AI skeptic/“realist”) didn’t realize. Now, do they care about meta’s AI? Idk, but they’re definitely using AI a lot
I downloaded a Quordle game on Android yesterday. It pushes you to buy a premium subscription, and you know what that gets you? AI chat inside the game.
I'm not unwilling to use AI in places where I choose. But let's not pretend that just because people do use it in one place, they are willing to have it shoved upon them in every other place.
If I want to use ChatGPT I will go and use ChatGPT myself without a middleman. I don't need every app and website to have it's own magical chat interface that is slow, undiscoverable and makes the stuff up half the time.
I actually quite like the AI-for-search use case. I can't load all of a company's support documents and manuals into ChatGPT easily; if they've done that for me, great!
It has some kind of ChatGPT integration, and I tried it and it found the answer I was looking for straight away, after 10 minutes of googling and manual searching had failed.
But why are the CEOs insisting so much on AI? Because stock investors prefer to invest on anything with "AI inside". So the "AI business model" would not collapse , because it is what investors want. It is a bubble. It will be bubbly for a while, until it isn't.
It is not just that. Companies that already have lots of users interacting with their platform (Microsoft, Google, Meta, Apple ...) want to capture your AI interactions to generate more training data, get insights in what you want and how you go about it, and A/B test on you. Last thing they want is someone else (Anthropic, Deepseek ...) capturing all that data on their users and improve the competition.
Yeah literally every new tech like this has literally everyone investing in it and trying lots of silly ideas. The web, mobile apps, cryptocurrencies, doesn't mean they are fundamentally useless (though cryptocurrencies have yet to make anything successful beyond Bitcoin).
I bet if you go back to the printing press, telegraph, telephone, etc. you will find people saying "it's only a bubble!".
Even worse: they are using your data that you are inputting into these programs to continuously train their data. That’s an even bigger violation since it breaches data privacy.
The top of the list has got to be that one of their testimonials presented to investors is from "DrDeflowerMe". It's also interesting to me because they list financials which position them as unbelievably tiny: 6,215 subscribing accounts, 400 average new accounts per month, which to me sounds like they have a lot of churn.
I'm in my third year of subscribing and I'm actively looking for a replacement. This "Start Engine" investment makes me even more confident that's the right decision. Over the years I've paid nearly $200/year for this and watched them fail to deliver basic functionality. They just don't have the team to deliver AI tooling. For example: 2 years ago I spoke with support about the screen that shows you your credit card numbers being nearly unreadable (very light grey numbers on a white background), which still isn't fixed. Around a year ago a bunch of my auto transfers disappeared, causing me hundreds of dollars in late fees. I contacted support and they eventually "recovered" all the missing auto-transfers, but it ended up with some of them doubled up, and support stopped responding when I asked them to fix that.
I question if they'll be able to implement the changes they want, let alone be able to support those features if they do.
I looked for the right term but force-feeding is what it is. I yesterday also changed my default search engine from Duckduckgo to Ecosia as they seem the only one left not to provide flaky AI summaries.
In fact I also tried the communication part - outside of Outlook - but people don't like superficial AI polish
currently run duckduck, but dont get the summeraries as my phone browser sets individual domain conditions, and duck duck will return results without having java,cookies,dom enabled
"Any sufficiently advanced AI technology is indistinguishable from bullshit."
- me, a few years ago.
I find the whole situation with regard to AI utterly ridiculous and boring. While those algos might have some interesting applications, they're not as earth-shattering as we are made to believe, and their utility is, to me at least, questionable.
> Any sufficiently advanced AI technology is indistinguishable from bullshit
love this quote !
The whole sales-pitch for AI is predicated on FOMO - from developers being replaced by AI-enabled engineers to countries being left-behind by AI-slop. Like crypto, the idea is to get-big-fast, and become too big to fail. This worked for social-media but I find it hard to believe it can work for AI.
My hope is that: while some of the people can be fooled all the time, all the people cannot be fooled all the time.
As far as I can tell, the AI-hate is most prominent in tech circles (creativity too, but they don't like media generation, largely embrace text though).
It seems here on the ground in non-tech bubble land, people use ChatGPT a ton and lean hard on AI features.
When Google judges the success of bolted on AI, they are looking at how Jane and John General Public use it, not how xleet007 uses it(or doesn't).
There is also the fact that AI is still just being bolted onto things now. The next iteration of this software will be AI native, and the revisions after that will iron out big wrinkles.
When settings menus and ribbon panels are optional because you can just tell the program what to do in plain English, that will be AI integration.
Ok but TFA says only 8% of REGULAR PEOPLE want these features so if you're going to directly contradict the source material we all just read (right???) you should bring a citation because otherwise, in light of the data in the article you are ostensibly discussing, I don't know how that's "as far as you can tell."
It doesn't say that. The actual question asked was whether people would pay extra for AI features, which isn't the same thing as asking if they want them.
If you look at the survey results, a few things jump out.
Firstly, there's a strong age skew. The people most likely to benefit from AI features in their software are those who are judged directly on their computing productivity, i.e. the young. Around half of 18-35 year olds say they would pay extra, even . It's only amongst the old that this drops to 20%.
Secondly, when asked directly if they value a range of AI-driven features, they say yes.
The skew opens up because companies like OpenAI give AI services away for free. There's just a really strong expectation established by the tech industry that software is either free or paid for by a low and very price-stable monthly subscription. This is also true in AI: you only pay for ChatGPT if you want more features and smarter models. For the majority of things that people are doing with AI right now, the free version of ChatGPT is good enough. What remains is mostly low value stuff like better autocomplete, where indeed people are probably not that interested in paying more for it.
Unfortunately Ted Gioia tries to use this stat to imply people don't want AI at all, which is not only untrue but trivially untrue; ChatGPT is the fastest growing product in history.
I pay for a subscription to a local news blog (because our local newspaper no longer covers local news). I would not pay for the same content delivered by AI. Does the blogger use AI to write his stories? I trust him when he says he does not but I guess I have no way to know for sure.
I will pay people for the value they create. I won't pay for AI content, or AI integrations. They are not interesting or valuable to me.
Companies didn't ask your opinion when they offshore manufacturing to Asia. They didn't ask your opinion when they offshore support to call centers in Asia. Companies don't ask your opinion, they do what they think is best for their financial interest, and that is how capitalism works.
Once upon a time, not too long ago, there was someone who would bag your groceries, and someone who would clean your window at the gas station. Now you do self-checkout. Has anyone asked for this? Your quality of life is worse, the companies are automating away humanity into something they think is more profitable for them.
In a society where you don't have government protection for such companies, there would be other companies who provide a better service whose competition would win. But when you have a fat corrupt government, lobbying makes sense, and crony-capitalism births monopolies which cannot have any competition. Then they do whatever they want to you and society at large, and they don't owe you, you owe them. Your tax dollars sponsor all of this even more than your direct payments do.
But that's exactly the problem with proprietary software. It's not force-feeding you anything, it's working exactly as intended.
Software is loyal to the owner. If you don't own your software, software won't be loyal to you. It can be convenient for you, but as time passes and interest changes, if you don't own software it can turn against you. And you shouldn't blame Microsoft or it's utilities. It doesn't owe you anything just because you put effort in it and invested time in it. It'll work according to who it's loyal to, who owns it.
If it bothers you, choose software you can own. If you can't choose software you own now, change your life so you can in the future. And if you just can't, you have to accept the consequences.
I feel an urge to build personal local AI bots that would be personal spam filters. AI filtering AI, fight fire with fire. Mostly because the world OP wants is never coming back. Everything will be AI and it's everywhere.
I also feel an urge to build spaces in the internet just for humans, with some 'turrets' to protect against AI invasion and exploitation. I just don't know what content would be shared in those spaces because AI is already everywhere in content production.
Those can be useful, but not really against LLM content. Though neither do I think an LLM-based filter could actually reliably detect LLM-based content.
I noticed that some of his choices contributed to his problem. I haven't been forced into accepting AI (so far) while I've been using duckduckgo for search, libreoffice, protonmail, and linux.
even ddg has integrated AI now and while it can be disabled, the privacy aspect seems to mean that ddg regularily forgets my settings and re-enables the ai features.
maybe i'm doing something wrong here, but even ddg is annoying me with this.
The settings don’t change, but they are stored in anonymous local storage, so if that is cleared they go away. If you use our browsers though this is managed through the browser.
IPv6 adoption is actually limited by network effect and infrastructure transition costs, not lack of end-user benefits - unlike AI, which faces a value perception problem.
That value (of one company) is from speculative investment. I don't think it negates that the field has a perception problem.
After seeing something like blockchain run completely afoul/used for the wrong things and embraced by the public for it, I at least agree that AI has a value perception problem.
Given everyone and their mother is putting AI in to their products it makes me wonder how that revenue breaks down between people incidentally paying for it versus deliberately paying for it versus being subsidized by VC. Obviously ultimately all this revenue is being collected at a massive loss but I wonder if that carries on down the value chain.
I don’t think I’m trying to make that argument but thanks for putting it in my mouth. I do pay (or via employment get paid access) for a lot of products that have AI features that I don’t care about so from personal experience I know that at least some of the value chain is incidental.
Huh? I’ve been programming for 20 years now and LLMs/GenAI have replaced search and StackOverflow for me - I’d say that means they are pretty good! They are not perfect, not even close, but they are excellent when used as an assistant and when you know the result you’re expecting and can spot its obvious errors.
> Before proceeding let me ask a simple question: Has there ever been a major innovation that helped society, but only 8% of the public would pay for it?
In my European country you have to pay a toll to use a highway. Most people opt to use them, instead of taking the old 2-lane road that existed before the highway and is still free.
I mostly agree with TFA, with one glaring exception: The quality of Google search results has regressed so badly in the past years (played by SEO experts), that AI was actually a welcome improvement.
Yes, that's the next logical step. The only silverlining is Google currently has less of a moat than last time in the technology in question, so some upstart could always be on their heels in a Kagi-esque way.
People don't know how to search, that's it. Even the HN population.
Every time this gets posted, I ask for one example of thing you tried to find and what keywords you used. So I'm giving you the same offer, give me for one thing you couldn't find easily on Google and the keywords you used, and I'll show you Google search is just fine.
Allright, had this recently since i keep forgetting luks commands.
How do you set up an encrypted file on linux that can be mounted and accessed same as a hard drive.
(note: luks, a few commands)
You will see a nonsensical ai summarization, lots of videos and junk websites being promoted then you'll likely find a few blogs with the actual commands needed. Nowhere is there a link to a manual for luks or similar.
This in the past had the no-ad straightforward blogs as first links, then some man pages, then other unrelated things for the same searches that i do now and get garbage.
FWIW, when I put <<linux create file image encrypted file system>> into Google (this was the first thing I tried, though without knowledge that it might be a tricky case I might have been less careful picking keywords) I get what look like plausible results.
At the top there's a "featured snippet" from opensource.com, allegedly from 2021, that begins with: create an empty file (this turns out to mean a file of given size with no useful data in it, not a size-0 file), then make a LUKS volume using cryptsetup, etc.
First actual search result is a question on Ask Ubuntu (the Stack Exchange site dedicated to Ubuntu) headed "How do I create an encrypted filesystem inside a file?" which unless I'm confused is at least the correct question. Top answer there (from 2017) looks plausible and seems to be describing the same steps as the "featured snippet". A couple of other links to Ask Ubuntu are given below that one but they seem worse.
Next search result is a Reddit thread that describes how to do something different but possibly still of interest to someone who wants to do the thing you describe.
Next search result is a question on unix.stackexchange.com that turns out to be about something different; under it are other results from the same site, the first of which has a cryptsetup-based recipe that seems similar to the other plausible ones mentioned above.
Further search results continue to have a good density of plausible-looking answers to essentially the intended question.
This all seems fairly satisfactory assuming the specific answers don't turn out to be garbage, which doesn't look very likely; it seems like Google has done a decent job here. It doesn't specifically turn up the LUKS manual, but then that wasn't the question you actually asked.
Having done that search to find that the relevant command seems to be cryptsetup and the underlying facility is called LUKS, searches for <<cryptsetup manual>> and <<luks documentation>> (again, the first search terms that came to mind) look to me like they find the right things.
(Google isn't my first-choice search engine at present; DuckDuckGo provides similar results in all these cases.)
I am not taking any sides on the broader question of whether in general Google can give good search results if one picks the right words for it, but in this particular case it seems OK.
I asked Google that exact question, and I got an AI summary that looks alright? Please verify if those steps make sense, I pasted them into a text service, it's too much for an HN comment: https://justpaste.it/63eiz
That wasn't the question. The complaint is the poster can't find anything on Google because the results are now so poor, and your response is "but here's some AI generated slop, which may or may not make any sense."
That "AI generated slop" IS Google's main response now. I posted it so that someone might have a look to see if/how correct it actually is, your response, that does not deign to even look, is less than helpful - if you want to complain about Google not being useful, how about your own response?
Is "How do you set up an encrypted file on linux that can be mounted and accessed same as a hard drive." literally what you put into the search bar? if so, that's the problem.
try "mount luks encrypted file" or "luks file mount". too many words and any grammar at all will degrade your results. it's all about keywords
edit: after trying it myself i quickly realized the problem - luks related articles are usually about drives or partitions, not about files. this search got me what i wanted: "luks mount file -partition -filesystem"
i found this article[1], which is in german (my native tongue), but contained the right information.
Google is nearly useless for recipes. Try finding a recipe for beef bourguignon. They exist, but with huge prefaces and elaboration that mean endless scrolling on a phone, all in the name of maximizing time spent on page (which is a search ranking criteria).
I've also heard a 3rd-hand claims that not authors of those recipes vett what they've written. E.g., what the true prep / cooking times are.
I still find online recipes convenient, but I don't blindly trust details like cooking time and temperature. (I mean, those things are always subject to variability, but now I don't trust the times to even be in the right ballpark.)
Happily, there are some cooks that I think deserve our trust, e.g. Chef John.
I think there’s a difference between the tool that helps you do work better and the service that generates the end result.
People would be less upset if ai is shown to support the person. This also allows that person to curate the output and ignore it if needed before sharing it, so it’s a win/win.
Excellent Frank Zappa reference in The Famous Article is "I'm the Slime"[1].
The thing that really chafes me about this AI, irrespective of whether it is awesome or not, is emitting all of the information to some unknown server. To go with another Zappa reference, AI becomes The Central Scrutinizer[2].
I predict an increasing use of Free Software by discerning people who want to maintain more control of their information.
Just a quick quibble…the subtitle of the article calls this problem tyranny.
Tyranny is a real thing which exists in the world and is not exemplified by “product manager adding text expansion to word processor.”
The natural state of capitalism is trying things which get voted on by money. It’s always subject to boom-bust cycles and we are in a big boom. This will eventually correct itself once the public makes its position clear and the features which truly suck will get fixed or removed.
I honestly can’t think of reasons to use AI. At work I have to give myself reminders to show my bosses that I used the internal ai tool so I don’t get in shit.
I don’t see the utility, all I see is slop and constant notifications in google.
You can say skill issue but that’s kind of the point; this was all dropped on me by people who don’t understand it themselves. I didn’t ask or want to built the skills to understand ai. Nor did my bosses: they are just following the latest wave. We are the blind leading the blind.
Like crypto ai will prove to be a dead end mistake that only enabled grifters
One recent thing I did was make cute little illustrations for an internal slide deck. I’m not even taking work away from an artist, there was no universe where I would have paid someone to do this, but now every presentation I give can be much more visually engaging than they would have been previously.
The reason your bosses are being obnoxious about making people use the internal AI tool is to push them into thinking about things like this. Perhaps at your company it’s genuinely not useful, but I’ve seen a lot of people say that who I’m pretty confident are wrong.
I agree copilot for answering emails is negative value.
But I find Google AI search results are very useful, can't see how they will monetise this, but can't complain for now.
the title can be shortened to "force feeding an unwilling public" which is a fairly reasonable description of our current econimic system.
we went from "supply and demand", to "we can supply demand"(the heydays of hype and advertising), to "surprise!, like it or lump it"
It’s not spot on. Buying and using all of these products is a choice.
The last is especially egregious. I don’t want poorly-written (by my standards) books cluttering up bookstores, but all my life I’ve walked into bookstores and found my favorite genres have lots of books I’m not interested in. Do I have some kind of right to have stores only stock products that I want?
The whole thing is just so damn entitled. If you don’t like something, don’t buy it. If you find the presence of some products offensive in a marketplace, don’t shop there. Spotify is not a human right.
Of course you can opt out. People live in the backwoods of Alaska. But if you want to live a semi normal life there is no option. And absolutely people should feel entitled to a normal life.
If these things are genuinely so universally hated won't they just be.. capitalism'd out of existence? People will stop engaging with them and better products will win
What book store will stock AI slop that no-one wants to buy?
No, because “better products” won’t exist. That’s the complaint: every company is rushing to throw AI into their stuff, and/or use it to replace humans.
They’re not trying to satisfy customers: they’re answering shareholders. Our system is no longer about offering the best products, it’s about having the market share to force people to do business with you or maybe two other equally bad companies that constantly look for ways to extract more money from people to make shareholders happy. See: Two choices of smartphone OS, ISP regional monopolies or duopolies, two consumer OSes, a handful of mobile carriers, almost all available TVs models being “smart TVs” laden with spyware…
(I’m speaking from the US perspective, this may not be as pronounced elsewhere.)
That’s a very self-centered view that assumes one’s own definition of “better products” is universal.
The reality is that most people like many of the things you or I might find useless or annoying.
There are better products, but they are niche. You pay more for a non-smart TV because 1) there’s less demand, and 2) the business model is different and requires full payment up front rather than long term monetization.
But who are you or I to look at the market and declare that both sellers and buyers are wrong about what they want? I’m very suspicious of any position as paternalistic as that.
Outside of a monopoly the best way to extract more money from people is to offer a better product. If AI is being forced and people do hate it, they'll move towards products that don't do that
What happened to Windows Recall being enabled by default? Surely it was in Microsoft's best interest to force it on people. But no, they reversed it after a huge backlash. You see this again and again
Of your examples, ISPs are the only one I can see that's hated without other options. Most people are quite happy with Windows/Mac/Android/iOS/Mint Mobile/Smart-TV-With-No-Internet-Access
Part of the problem is that some of these services have enormous upfront costs to work at all.
It's fun to say "let's go write a complete replacement for Microsoft Office" or the Adobe suite or what have you, but that has a truly astonishing upfront cost to get to a point where it's even servicing 50% of the use cases, let alone 95 or 99%.
Or there's other examples where it's not obvious there's sufficient interest to finance an alternative - how many people are going to pay for something that replicates solely the old functionality of Microsoft Paint or Notepad, for example.
What would happen if Microsoft Office started to charge $250/mo tomorrow?
My guess is you'd very quickly get a bunch of teams scrambling to produce something to compete and capture a huge market by charging a tenth the price. Funding is taken care of when winning there is worth so much
Maybe it won't happen overnight because they're huge software suites.. but it will happen. We need regulations to take care of anti-competitive practices - but after that the market seems to work pretty well for keeping companies in check
You might be conflating capitalism (owning things like factories) with consumerism (buying things like widgets).
If all of the factory owners discover a type of widget to sell that can incidentally drive down wages the more units they move, it's unlikely for consumers to be provided much choice in their future widgets.
Search, music streaming, books: heavily consolidated markets where the value-based offering has supremacy (Google vs any paid search; Spotify/Apple Music vs Tidal; Amazon vs anything). It's the market supremacy that generally allows this.
If quality were a sufficiently motivating aspect, Google's deteriorating search wouldn't be a constant theme on this site, and people on the street would know where to download and play a FLAC file.
Tidal is a great example. They seem do be doing fine with a niche. If more people wanted what they offer instead of Spotify, Tidal would eat market share.
The market supremacy came afterwards, not before. Most people don't want the expensive premium version - they want good enough at a low investment. And that's fine
There's also a segment of the market that wants the FLAC, premium handcrafted experiences at top price. They're not in direct competition and both can co-exist
My initial point was that companies can't just exploit consumers relentlessly because the market won't let them. The good value option can't just box people in and show them only ads. I bet YouTube would love to show you unskippable ads for 75% of the video length. Good luck staying market leader with that
I don't think Google is a good example here. They've been actively trying to fight and failing against SEO and affiliate spam for a decade. No-one else has solved that problem either which is why Google remains at the top. I personally had a hand-crafted content site thrown out of their search results because of them going after spam
I'm a bookseller who often uses Ingram to buy books wholesale when I'm not buying direct from publishers. I've used them for their distribution service since opening 5 years ago because they are the only folks in town who can help bootstrap a very small business with coverage of all the major publishers (in the U.S.). They're great at that, for a small cut in revenue.
Six-plus months ago they put a chatbot in the bottom right corner of their website that literally covers up buttons I use all the time for ordering, so that I have to scroll now in order to access those controls (Chrome, MacOS). After testing it with various queries it only seems to provide answers to questions in their pre-existing support documentation.
This is not about choice (see above, they are the only game in town), and it is not about entitlement (we're a tiny shop trying to serve our customers' often obscure book requests). They seemed to literally place the chatbot buttons onto their website with no polling of their users. This is an anecdotal report about Ingram specifically.
Opting out is easy, we can just stop using products from Microsoft, Apple, Meta and Google. Of course, for many that also means opting out of their job, which is a great way to opt out of a home, a family, healthcare, dental care and luxuries like food.
I don't think it's entitlement to make a well-mannered complaint about how little choice we actually have when it comes to the whims of the tech giants.
The OP's point is that increasingly, we don't have that choice, for example, because AI slop masquerades as if it were authored by human beings (that's, in fact, its purpose!), or because the software applications you rely on suddenly start pushing "AI companions" on you, whether you want them or not, or because you have no viable alternatives to the software applications you use, so you must put up with those "AI companions," whether you want them in your life or not.
AI shit is usually not advertising as such. It's made to look like it was made a human. So I would have to consider this product carefully beforehand, or to return it after buying. That's a hassle. I don't want to spend productive time on this nonsense. For all I care, say it hurts the GDP.
How is this hard to understand? You’re completely missing the point. You’re basically saying if you get a spam text, don’t read it. If you get spam email, don’t read it. If you see an ad modal popup on a website, close it. It’s all still super annoying just like these AI features screaming “use me! click me! type to me!” all over the place in the UI.
There is a huge difference between unwanted messages and a commercial service changing their offering in ways you don’t like. It is literally the definition of entitlement to conflate the two.
I actually use the AI books that litter kindle unlimited to teach my daughter how to differentiate and be more sophisticated. I think a feature of all this is it inculcates a lot of people to AI spew. If it were isolated to the elite and the unscrupulous alone people would be a lot more vulnerable. By saturating the world with it, people get a true choice by being able to recognize it when they see it and avoid the output. It’s not like all our surfaces are not covered in enshittification as it is, another dose of it won’t make it meaningfully worse. And I know a lot of non English speakers that really appreciate the AI writing assistants built into email, the ai summaries built into search. Assuming no one finds them beneficial because it litters an already littered experience is a bit close minded. Many people otherwise challenged in some way. Summaries help dyslexics get through otherwise intractable walls of text, multi modal glasses help the vision impaired, witting assistants help bilingual workers level the playing field. Just because these don’t apply to you doesn’t mean it’s bothersome. (Now should you be able to disable it? Maybe, but as the author points out that’s a product choice made for financial reasons and there’s a market of products that make a different choice - don’t like google? Don’t feel so entitled that every service be free and pay for kagi)
Probably no one enjoys AI books though. I did my best at devils advocate on that above.
- Summaries help dyslexics get through otherwise intractable walls of text.
Politicians often use AI to summarise proposals and amendments to the laws. And later vote based on those summaries. It's incredible how artifical bureaucracy is driven by artifical intelligence. And how citizens don't care to follow artificial laws that ruins humanity.
The whole point is that "just don't buy it" as a strategy doesn't work anymore for consumers to guide the market when the companies have employed the rock-for-dessert gambit to avoid having to try to sell their products on their merits.
For consumer pproducts, sure, don't buy them. For people in office based careers, they may not get a choice when their company rolls out copilot, or management decide to buy an ai helpdesk agent, or a vendor pushes ai slop into the next enterprise software version.
How is that different from not liking other technology choices one’s employer makes? I could write a book about how much I hate our expense tool. But it’s never occurred to me that I am entitled to have a different one.
> I don’t want poorly-written (by my standards) books cluttering up bookstores
It's ridiculous to compare bad human books with bad AI books because there many human books which are life-changing, but there isn't a single AI book which isn't trash.
Why do people who attempt to critique AI lean on the "no one wants this, everyone hates this" instead of just making their point. If your arguments are strong you don't need to wrap them in false statistics.
The article leads with a feature to get AI to write your emails for you. I personally don’t have much use for that, since I like writing and I’m pretty fast at it, but I know multiple people both inside and outside of tech who’ve told me they do this for most of their long emails now.
But this is one thing that Gen AI is genuinely good at, constructing computer programs under close human supervision. It's also the most profitable (but not enough to justify valuations) Also, it may be a big thing here but its pretty niche in the larger scheme of things
The article is about it encroaching in the domain of human communications. Mass adoption is the only way to justify the incredible financial promises.
I use Claude at least weekly to help write documents for me. And I’m a good writer, who spent a lot of time and energy getting that way. I have a friend who is a terrible writer who I do proofreading for. He uses chatgpt and it’s made a world of difference for him in getting things accomplished and communicating what he wants.
I think there are lots of valid arguments against llm usage, but it’s extremely tiring to here how it’s not useful when I get so much use out of it.
This guy calls himself honest broker but his articles are just expressions of status anxiety. The kind of media the he loves to write about is becoming less relevant and so he lashes out at everything new from AI to TikTok.
I’ve observed the opposite—not enough people are leveraging AI, especially in government institutions. Critical time and taxpayer money are wasted on tasks that could be automated with state-of-the-art models. Instead of embracing efficiency, these organizations perpetuate inefficiency at public expense.
The same issue plagues many private companies. I’ve seen employees spend days drafting documents that a free tool like Mistral could generate in seconds, leaving them 30-60 minutes to review and refine. There's a lot of resistance from the public. They're probably thinking that their job will be saved if they refuse to adopt AI tools.
> I’ve seen employees spend days drafting documents that a free tool like Mistral could generate in seconds, leaving them 30-60 minutes to review and refine.
What I have seen is employees spending days asking the model again and again to actually generate the document they need, and then submit it without reviewing it, only for a problem to explode a month later because no one noticed a glaring absurdity in the middle of the AI-polished garbage.
You're describing incompetence or laziness—I’ve encountered those kinds of people as well. But I’ve also seen others who are 2-3 times more productive thanks to AI. That said, I’m not suggesting AI should be used for every single task, especially if the output is garbage. If someone blindly relies on AI without adding any real value beyond typing prompts, then they’re not contributing anything meaningful.
I'm talking boilerplate, not scientific research. It's crazy that we're starting to see research done by AI but a lot of boilerplate is still done manually.
Yeah, no you cant see that yet. What you see is comparison between own super optimistic imagined idea of useful AI with either reality or even knee jerk "goverment is stupid and wastful becauce Musk said so".
The thing is, though, that time wasn’t wasted. It was spent fully understanding what they were actually trying to say, the context, the connotations of various different phrasings etc. It was spent mapping the territory. Throwing your initial, unexamined description into a prompt might generate something that looks enough like the email they’d have written, but it’s not been thought through. If the 10 minutes’ thought spent on the prompt was sufficient, the final email wouldn’t be taking days to do by hand.
It's because the integrations with existing products are arbitrary and poorly thought through, the same way that software imposed by executive fiat in BigCo offices for trend-chasing reasons has always been.
petekoomen made this point recently in a creative way: AI Horseless Carriages - https://news.ycombinator.com/item?id=43773813 - April 2025 (478 comments)
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