“People could only see the listing and request to book the property during a 20-minute window”
This seems like a much smaller problem than the title would suggest. I agree Booking fraud is worth tightening but hardly anu automate system would flag a listing that was open for 20min only, as the calculated risk/impact to users would have been very small.
It seems to me you underestimate the challenges of getting the money from such crypto scheme. A murderer would have to prove to the pot owner that they are, in fact, the real murderer and not someone pretending to be one to get the money. However, there’d be another actor trying to prove who the murderer is - the police. So, you’d practically have to dox yourself in order to get the money, or be able to have such a strong privacy system that a state actor cannot break it and identify you from your communications with the pot owner (lol). If you have such a strong cyber security system, you’re probably better off just selling it for $$$$$$ than muurdering randos.
But these problems would likely be self-resolving in most cases as the crypto pot owner would simply rug-pull everyone.
The key problem with adapting offices into apartments is the lack of natural light in office floor plans. You have a glass skyscraper that has a huge floor surface, but no way to deliver light in the middle of the building. So even if converting it, you’re looking at making very big apartments since they need to hug at least one exterior wall to have any light, and then go toward the middle of the floor plan, whilst getting darker and darker. Essentially you’d be buying a 1-window or 2-window apartment with multiple bedrooms, which is hardly desirable. The problem is that we’ve built office spaces quite differently than residential high-rises, making a conversion into (desirable) apartments sometimes untenable.
Yeah, in my mind it could go one of two ways - huge luxury apartments, or tiny ones with communal amenities in the center, more similar to a dorm.
While the latter may sound ridiculous, one thing I've heard over and over(and over) again from younger people in the area was complaining about paying so much for rent when they're never home, and just needing a place to sleep. I'm not up with zoning or even the feasibility of such a thing, more of a thought experiment.
Agreed, a dorm-like setup with amenities in the middle might work. It’s a whole different economic model and pitch to potential buyers/renters, but it could work.
As long as I have reliable climate control I prefer not having windows or "natural light".
I presently live in a townhouse triplex with like 5 huge windows to the outside world and everyone in my household has them permanently blackout-curtained like nobody's business.. and there is still way too much light getting in each one of them. :(
Perhaps there are vampire-like demographics which could be served by some of the interior-space of such buildings?
Plus, depending how folks feel about it it might be interesting to user fiberoptic cable to transport natural light about wherever one desires, not least of which because that ought to prove quite simple to be able to switch on and off at will.
Such a cool guide to such a bizarre problem we live in…
Companies forcing features that nobody wants, but that are also expensive to operate and cost real money to run? Market can definitely stay irrational for long.
Nobody using it is actually the ideal outcome. AI features are added, at no additional cost to the consumer, to extract money from investors. If customers began using the product, this feature would actually start having an ongoing cost.
Imagine you make a widely hated product targeted at huge corporations. Workday, Jira, Oracle Financials, anything like that.
Then you find that all your users are using ChatGPT to automate their interactions with your product. Instead of your product being crucial to your customers' business and almost impossible to replace, it's turning into a dumb pipe connecting LLMs - and looking very much threatened.
After all, data lock-in is a core part of your business strategy.
Getting people to use your AI tool, though? That makes your product stickier, and lets you charge more too.
Thing with investor money is that after a while the investors start asking where their dividends are at. If you put all that money toward building features nobody asked for, you're in for a rough time.
Eh, this is true prior to an IPO, but listed companies (like every single one doing this shit) are very much beholden to shareholders and quarterly reports.
Literally every day that I browse HN I hear people complain about others' use of LLMs. How can you say "nobody wants" when it's used so much to elicit endless complaints?
Do you use summarize email function in gmail or outlook? Do you use rewrite paragraphs feature in word or google docs? Do you know anyone who wants these features?
That’s what I’m talking about, not AI use in general.
We've long been there. Most technology markets are supply driven. People buy what's made available on the market and learn to cope with it. That's big part of why people hate computers so much, and why feigning ignorance about basic device operations is a point of pride for many a normies.
I really do wonder if the market is being irrational or if we just cannot see what they are
I suspect that many people dislike AI but are begrudgingly using it. I would put money very few people are completely avoiding it. It's very hard to avoid now anyways.
Maybe the AI company strategy is really just "make it so invasive in life it's so difficult to avoid and expensive enough to revert that companies and governments will never go back anyways"
Nobody, absolutely nobody wants or likes overlapping rainbow animated "ask AI" buttons plastered over every available inch of screen space. Nobody wants or likes useful features being removed and replaced with colorful bouncing "ask AI" buttons.
> I suspect that many people dislike AI but are begrudgingly using it.
(Sadly,) many normal folks use ChatGPT in lieu of Google search. I'm continually surprised to, over and over, hear from personal friends that they planned their vacation using ChatGPT.
Choosing to visit (or use the app) ChatGPT or Claude is very different from having terribly integrated and usually useless AI in every single app and website.
Well this is why, as an enthusiastic AI user, even I usually want to disable intrusive AI!
If it's popping up in some random product I don't pay for I can only assume it's such a shitty model that it's probably not worth talking to.
(Exception: my bank has replaced its shitty phone tree with an AI chatbot. This is faster and the model has a "transfer to a human" tool. It's perfectly capable of following its playbook, determining that I need a human, and putting me in touch with one. So actually I started with "now I've gotta debase myself by talking to a fucking 32B Chinese LLM" but ended with "oh that was great actually").
I think people like AI tools when it's their choice to engage with them and they set the terms. I have a good experience with Claude largely because I choose when to use it and when I don't care about it's existence, its gone. But the stupid glowing, animated, overlapping Copilot button in Word is the dumbest thing imaginable. I don't want it, and I cant stop being reminded of it.
The simple distinction of pro vs anti ai isn't the root cause, its about individual control and choice which can span both of those stances.
Alternative hypothesis: people do gradually use these features, but HN became a weird anti-AI bubble for some reason.
I mean, many of the features had previous pre-AI attempts. They all sucked much more. This is the first time they have a remote chance of working (but in many cases, timidity or cheapening out is still making them barely usable - which is why 99% of the cases it's still much, much better to throw one of the three SOTA LLMs at the app to operate it (or on its data) from the outside).
Shitty LLM chatbots providing unhelpful (read: lies) customer service is even worse than some Phillippeens or Indian support with terrible scripting and half-broken engrish. At least you could deal with those fucks with demanding a manager or similar.
The LLMs will always do the worse option to customers, to extract more money. Burn'em all to the ground.
Don't pin that on LLMs, it has nothing to do with them.
Shitty chatbots became a thing a few years before LLMs. The LLM variant is an improvement for users - it's more typo-tolerant, and more likely to understand what the user actually wants, before it flat out refuses because of organizational policies.
> The LLMs will always do the worse option to customers, to extract more money. Burn'em all to the ground.
That's a ridiculous take. The models are very capable. What they actually do depends entirely on constraints set up by the companies deploying it. If the AI features on some site "always do the worse option to customers", it's not a problem with LLMs - there is a human being in the company, that choose to fuck over their customers.
Same is true about pre-LLM support. It's not people from India who are at fault for your shitty support - it's the executives in the Western company that explicitly decided to outsource their customer support to a call center on a different continent, and they're also the ones who decided that "terrible scripting and half-broken english" is the level of support they will offer to their customers.
Same with manufacturing - "Made in China" is a synonym of bad quality, but it's not because of China. The brands are free to seek out any combination of quality and price, and it's them who choose to dial quality down to minimum. Factories don't care what's in the spec, they do work to spec.
Same with LLM chatbots. Prompt them to be unhelpful and prevent them from accessing important information or paging actual people, and they will be useless. Not the fault of LLM.
Yes, it's my pet peeve, and it's been such long before LLMs. There's a pattern of blaming technology and technologists for shitty or harmful work, while actively ignoring the business side that devised and commissioned it on purpose. Stop blaming LLMs. Start blaming entrepreneurs who chose how to deploy them.
Gee, I wonder if HN became this way because of AI shaking the ground they walked on after years of dedication and study? And on top of that, doing a shit job of everything it touches, causing massive paranoia in every corner of the internet, that place we all live now? Gosh I wonder why!?!?
The pro-ai posts here have got to be 50% bots, i'm convinced. I have yet to see a single artefact of AI that was remotely impressive. Fancy markov chains do not intelligence make.
No one wants? I understand normies on Facebook saying that, but you are on HN. How do you keep that position with the evidence getting thrown at you daily?
Do you use any of the AI features listed in the article, as shipped in the app? That's not the same thing as coding agents or cobbling together something for yourself.
I’m not saying nobody wants to use AI, or AI coding and desktop apps. I’m using that daily as many others here are too.
The article refers to different AI features within other apps (e.g. search overviews in google, summarize email, summarize message) that bring no benefit to the user but only clutter.
I think everyone is fine with using their AI of choice to do their tasks of choice. It’s when I see a button that obstructs my workflow prompting me to do something I don’t need to with a shitty model that’s not good at it.
If I personally wanted to use generative AI, I’d query an agent app on my computer or load ChatGPT in a browser. I wouldn’t want my email client proactively spewing random words into the text area on its own. And I certainly don’t want every bit of information on my screen continuously streamed to a corporate cloud server so that I can ultimately be profiled and surveilled.
That's beside the point. It is obvious that this discussion is about idiotic AI integrations plastered to every website and application, not about choosing to use ChatGPT or Claude on your own terms.
I see the regulators only regulated that first-party and third-party apps be treated equally, and didn’t specify how.
It’s a bummer (albeit an expected one) to see Apple reducing the burden for third-party publishers to collect personal data, rather than increasing the burden for themselves to collect it, thus overall raising the floor of user privacy. This is to say, when a regulator requests “everyone be treated equally to ensure competition” maybe they should also take into account how users are impacted and instead request something more nuanced like: if there are unequal standards, they must be equalized in a way that maximizes user benefit.
1. The competition law people are not the data protection people. From the perspective of competition law, they only care that the playing field is leveled, they don't care if you equalize down or up.
2. The EU has fumbled the ball on GDPR by not enforcing it on the tech giants that it was intended to regulate[0], to the point where a tech company enforcing the intent of the law and not the letter of the law feels like singling out competitors.
[0] In particular, the Republic of Ireland is a rotten borough for Facebook, who has all their EU offices there.
Apple's hypocrisy is a longstanding issue with regard to their apps vs 3rd party apps. As I recall when the Green Bubbles first happened in messages someone pointed out that Apples own design guidelines specified a minimum contrast in colors or they would reject apps, and the green bubbles with white text did not meet that threshold at the time, and it stayed that way for quite a while. And for all I know the light themed version of the app still does (I have mine on permanent dark theme).
In Japan (not sure in other countries), I went to the Apple Store. They said to complete the purchase, use the Apple Store app and scan this QR code on their device. I did and it immediately wanted me to share a ton of info with the main highlighed button "Share Now" and in small lettering below that "customize and share", where in you can see all the stuff they were going to take.
Great read and interesting analysis! I’m less charitable toward Anthropic supposedly not distilling ChatGPT for training purposes. Maybe not today, but during the GPT-4 era when Anthropic was the underdog - I can see it happen. Packaged along with some of Amodei’s clever jumping through hoops to prove how that is, in fact, virtuous.
Distilling is only prohibited from chats you prompt. But there are lots in the open like the LMSYS Chatbot Arena data. It's a essentially one of the largest public sources of preference data, maybe still useful for boostraping RLHF and successor techniques (possibly a more highly educated contributor base than the low paid contractors), and was full of GPT-4-era inputs.
its banned by the terms of service. but contracts dont override copyright law, all they can do is terminate your account if they find out.
when you give the outputs to a third party anthropic cant go after them. the copyright doesnt belong to them so all they can do is sue you for breach of contract where its impossible to prove damages.
Not the OP, but I understand the sentiment they’re trying to convey. I will frequently work with AI to get done something that is not in my immediate area of expertise. And this kind of speak constantly happens, where you can feel it trying to please its RLHF expert teacher by being as concise as possible. Works ok when you’re deep in the weeds of what you’re talking about, but otherwise just feels overwhelming. Kind of like a feeling you can get when asking someone who is more interested in proving they are smart and know the answer than they are interested in actually helping you…
And yes you can prompt it to take it easier as you’re not experienced in this, but it’s usually a boiling frog situation. You work on something, need a small thing ajdecent to it, and three messages deep Claude is speaking to you in tongues unbeknownst. You knew what was happening at every turn but still got lost somehow.
> You knew what was happening at every turn but still got lost somehow.
I think this is less "it's using jargon" and more "it's explaining incredibly badly". It is very common that the explanation, while correct, is almost written inside out, with the point buried behind 3 paragraphs of "you've hit on the core seam" and "you're right to push back, let's reinforce the load-bearing model".
I think people have an incredibly limited capacity to follow long winding exposition, and they're too embarrassed to admit it. I have started sending stuff back to coworkers just saying "I don't think this is wrong, but I can't parse it, can you?" and getting back "no, but claude managed to generate a fix from it".
The extension catalog[0] for Pi is really nice and I feel like Pi's TUI is a bit lighter than OpenCode's. I use my custom terminal multiplexer on my phone using Tailscale so the lighter TUI is much better on mobile.
I haven't used OpenCode in months so this might've changed. I'm also thinking of giving JCode a spin since it's even lighter but doesn't have extensions.
Pi to me felt like when you install a fresh OS with nothing on it and then customize it to your liking.
Sure there are some features that you'll want immediately but when I took at look at the number of slash commands that ship with Claude code I find it ridiculous.
Pi is more minimal and it can be used to create fancier custom agents for various tasks with plugins. OpenCode is nice if you are only coding though, then the difference isn't really that big unless you want an unusual interface/behavior.
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