I look at all those files the same way as IDE configuration cruft--it's workstation-specific configuration that shouldn't even go into source control. I would .gitignore all of those files. Is this not what is done in industry?
Also it looks like there's a compilation step to these files, which is interesting. The raw file was included, not the environment specific file.
Version control everything (inputs)
--Mark Gurman, Bloomberg https://x.com/tbpn/status/2016911797656367199
Probably smart time to rent and not buy if they plan on buying in a downturn.
And in this particular war, it's even worse, the "winner" will actually just be the "biggest loser", contrarily to a traditional war.
I don't think that's part of their decision making, Liquid Glass moved most things around for seemingly not much else than novelty and that's not the first time.
Liquid Glass was Apple’s logo change moment
The best is ChatGPT voice mode. It understands non English words and accents amazingly well, and even though the LLM model isn’t the full fledged one, I can have deep conversations with it for an hour without it missing a beat.
My preference, however, is for a voice-control UX just like I get with my Amazon Echo and "classic" Alexa like I have been for the past 10 years I've been using it: I think I can best describe it as a "voice-driven command-line" just like your OS' CLI shell, which makes its interactions predictable, even if it means I need to "know" what commands are valid in a given context. We all need predictability and reliability when it comes to my home-automation integrations.
...but computer interaction with a LLM / transformer-driven / "AI agent" is anything but predictable. When Amazon opted everyone into Alexa+ I agreed to give it a go and see if it really made things better or not - and it did not. I opted-out of Alexa+ and went back to something actually reliable.
Seems like an agent given 20-30 tool calls like "read_sms" "matter_command", and "send_email" would be able to work out what to do for things like "set the house to 72° and text Laura that I did it."
Incidentally, a major headline in the news this past week was about a coding-agent that wiped its company's entire system, including backups; which the company's staffers were confident was utterly impossible (as it didn't have any access to that system), and yet somehow, it did[1] (the TL;DR is the agent randomly came across an unprotected God-tier admin API-key/token saved to a personal text-file in a filesystem it had read-access to). If an agent can do that with only read-only access to a company's routine/everyday storage area then there's no way I'm giving it the ability to deactivate my house's fire-alarms and security-cameras via Google Home/Matter/Thread/HomeKit/X10/OhFfsNotAnotherCloudBasedAutomationScheme.
[1] https://www.theregister.com/2026/04/27/cursoropus_agent_snuf...
You could have tried Alexa+ at the start when it was shitty compared to plain Alexa, and maybe it's better now. But equally none of the people that comment that it is "amazing" in its current iteration qualify their statements with their experiences comparing and contrasting the old version vs. the new version making them seem either unqualified to make statements based on how much "better" it is than the old version or at worse they are shills (paid or not). The best take is that they are comparing (e.g.) day-one Alexa+ vs. the current Alexa+ without a comparison to the original Alexa.
... which is to say that it really feels like there are no clear conclusions that could be drawn from all of this.
Also, one of my first interactions with this Alexa+ thing was “how long is it until 8:45am”, one of only a few commands I use it for to work out how much sleep I’m getting, and it proceeded to ask me what the current time was… I immediately turned it off after that
I've had enough bad experiences with products that never got better, or just got worse (Exhibit A: Windows 11). Like most primates, I am capable of learning, and I've learned that once a consumer product/service goes bad there's little hope of a turn-around. I accept that you're telling me that it's gotten better, but of the people I know IRL who also use an Echo, none of them have told me that Alexa+ is worth trying, let alone committing to.
Yes, it's on me for not giving Alexa+ a second chance, but I'm not willing to give Alexa+ a second chance because, as a technology product/service customer, I just don't feel respected by the industry I work for (...lol); if Amazon, Microsoft, Google, et al won't respect me, why should I venture outside my comfort-zone for... what benefit, exactly?
But for one-on-one, it is a really outstanding experience. Especially since they tamped down the way over-the-top humanisms.
Any of the Whisper-based apps on the App Store.
So if you buy Apple products based on that value proposition it’s a big problem for Apple if they can’t seem to keep their brand-promise in this area.
Be careful what you wish for.
https://blog.google/company-news/inside-google/company-annou...
The 2010s was marked by Intel's lazy product lineup, year after year pumping rehashes of older products, iterating on top of their 14nm lithography with increasingly minor improvements on its architecture until AMD overcame them. In the process, Apple's partnership with Intel became a liability it had to solve, and a push for the unified ARM architecture was no small feat.
If you ask me I don't think it's justified to degrade the user experience for the sake of focusing on this. It's a trillion dollar company, and has been for a while. Sure it could have tackled both, but what do I know.
In any case I think it explains really well why Siri feels so abandoned.
It's the CPUs they have built for their purposes, which is next level hardware independence.
Money can often just be one part of the equation.
To do things well you also need - available & capable technical resource, suitable facilities, available & capable leadership and management (with engaging at the right level in the business) and a clear vision of what you're trying to achieve/working towards.
Given how Apple appears to operate, I wonder if a strong desire for senior management control/oversight over major developments means they (artificially) limit how many concurrent large-scale things they can work on at any given time?
Maybe not, but that'd be my guess.
I didn't imply, it's explicit in my comment. it's what their actions show. Their updates make their systems worse and worse, Tim Cook is out and Siri is in shambles. It might have been something else, but I'm willing to give it the benefit of the doubt, because the alternative is just sheer stupidity.
There's no way they couldn't do a better Siri. For some reason, they just ... won't.
Classical homework assignment -- the Mythical Man Month and related essays
They have great kernel, drivers and low level engineering but the stack above that has a lot of questionable stuff.
Some parts of their software stack -- higher up than the kernel -- are actually pretty great. There's a lot of realy brilliant stuff in their system frameworks, and in SwiftUI, Cocoa, and UIKit. I've been using Linux at home recently, and I find myself missing some of it.
But, on the flip side, suddenly you hid maddening bugs, crashes, or terrible developer-experience papercuts. And, of course, there's the App Store, which is just evil. For my next app I'm just going to go Notarization only, and see how that goes...
You have to remember all of the AI companies are making cash bonfires. People aren't going to stop buying iPhones because Siri can only do what it does now.
If Apple focuses on hardware and skips the pay-for-inference bubble they'll come out the other side with the best consumer hardware everybody already has for local inference which is going to eat the whole industry's lunch.
nvidia is going to have a hard time convincing people they need to buy $1000 LLM inference hardware. Apple isn't going to have a hard time convincing people to buy the next generation of phone/tablet/laptop.
Anthropic probably couldn't give the uptime guarantees that Google can, right?
If you have terms that conflict with theirs, they aren’t very flexible. Anthropic can be similarly difficult, and their needs from a business perspective probably don’t align with Siri. I would imagine that Google has a more flexible/long term approach to absorbing some risk in a revenue share arrangement than anthropic who generally wants cash.
Anthropic’s only purpose is to juice whatever KPI‘s are gonna increase their IPO market cap.
https://daringfireball.net/linked/2025/12/01/gurman-pooh-poo...
This is the important point.
Sending their internal code, documentation, secret tokens, etc. to Anthropic would be completely irresponsible.
But if they are running the models on their own servers, why not!
Yuck. a lot of those replies have LLM smells. Do people love being a hollow puppet for LLMs to fill in? Have people lost their identity?
I feel the same. Quality of both submissions and discussions have considerable decreased. It is still the best general purpose “aggregator” I know of, but it is not what it was. It is becoming more and more FotM hype and boring group-think.
HN was great due to the breadth of unique, interesting, nerdy topics, most of which I would have never come across on my own; and the insightful thought-provoking commentary, often by insiders with unique insights and perspectives.
Now it is just the same LLM agentic coding harness hype cycle astroturfing 100x engineer 37k LoC/day BS I could get from Reddit or LinkedIn or Twitter or anywhere else.
The moderators are still doing a fantastic job though! I feel like that is the last big differentiator from just being orange Reddit.
Both the really old timey graybeard techies and the green haired alternative techie communities are reducing in numbers.
There is a market for buying and selling "aged" Hacker News accounts (15 USD for ~500 points).
By purchasing just ~300 karma points, founders can unlock an uplift of tens of thousands of dollars in visibility on the home page (clients and investors).
So the LLM comments are not here just for fun, they are clearly farming points.
Ironically, it also increases actual human engagement. This way the day Ycombinator wants to announce something, they already have more public than if there was low engagement.
Like the shilling you mentioned, these bots can push downvotes and flag competitors service.
Essentially the same as on Reddit. If you have incentive, you have a market.
I think I give out about 1 updoot a year. Good to know I've been starving them.
arse
The first question, answer is yes - most people live their lives mindlessly, with or w/o LLMs (think every idiot you knew 20 years go throwing in punch lines from "Friends" to sound "funny"), To the second question - most people have a twisted view of identity. It is supposed to mean something identifying you uniquely,but to the most people it means, identifying you as a member of a large group (nationality/political view/religion/major music genre you like). So, now when every proverbial Dick, Tom and Harry use LLMs to generate Confluence content with shiny emojis, what are the proverbial Emily or John to do? Of course, they will adopt this new identity - its who people are now - shallow, hollow puppets for LLMs to fill in. And to think of the irony - mother Nature perfected this super-efficient, low energy and highly capable thinking machine, each and every one of us holds in their skull. Its already put us on the moon once, before we even had a semblance of a functioning computer! And we choose to throw it away, for fucking what? Verbal diarrhea and pain inducing coloured walls of texts?
All so some retarded antisocial VC-funded "AI founder" can call themselves a tech visionary?
(sorry couldn't resist)
If tools or LLMs can help them with it then that's fine, but it should always be at least two humans involved, one making changes, one verifying, and if something like this happens, they're both culpable. Not that they should be blamed for it per se, but the process and their way of working should be reviewed.
No, AI code review doesn’t help. Claude can’t even give me correct line numbers 80% of the time, literally just makes them up, and more than half of it is false positive BS anyway.
Our brain is designed to fill in gaps, it's why memory is so blurry when it comes to reciting the facts of what we saw in a trial.
It's why you could swear you saw "x" in the production software you were about to push. But it really comes down to expectations - and those expectations help reduce cognitive load/increase cognitive efficiency (resource usage).
So after more and more people get used using AI, you will see these mistakes occur more frequently. B/c it's how our brains work.
I'm not sure why. It just doesn't feel very Apple-like
Seems like at some point most of the actual humans just gave up on replying.
It is no secret that Apple has an enormous R&D budget.
It is no secret that Apple operates with hundreds of siloed teams in order to maintain individual domain expertise. The teams then come together in a collaborative manner to bring together the final products.
So yes, it is likely true that SOME teams use SOME LLM for SOME tasks. It is a viable argument from R&D and other perspectives. Apple is an enormous multinational company, it is unlikely they have zero-AI on-site.
What is guaranteed NOT to be the case is that Apple is somehow vibecoding company-wide. Old-school engineering is too important for Apple.
I'm sure journalists and Anthropic would love to have you believe otherwise, but I think we need to keep our feet on the ground here and accept the reality is more old-school.
Afterall, as others have pointed out already here ... whilst the rest of Silicon Valley has been shoveling truckloads of cash at AI, Apple have been patiently sitting, watching the bandwagon trundle along the rails.
Having worked there this is a perfect description of the organization from my experience.
> So yes, it is likely true that SOME teams use SOME LLM for SOME tasks. It is a viable argument from R&D and other perspectives.
> What is almost guaranteed NOT to be the case is that Apple is somehow vibecoding company-wide.
100% agree
The research surveyed 121.000 developers across 450+ companies. A striking 92.6% of them use an AI coding assistant at least once a month, and roughly 75% use one weekly
It's a standard engineering practice, otherwise it's like if you refuse autocomplete because autocomplete is not right 100% of the time.
Had some issues with my monitor apparently seeing connection to my Mac Mini, but the Mac Mini displaying black, apparently somehow got out of sync with my monitor, sleeping the display controller then waking it solved it.
Gathered a bunch of data, wanting to submit a report, since I'm a Apple Developer Program member since like two days ago, and I wanna be a good c̶u̶s̶t̶o̶m̶e̶r̶ user, so I opened up Feedback Assistant.
It asks me for my email, I input it, press enter. A password input appears, but keyboard focus doesn't move there automatically. I know is such a tiny nitpick practically, but tiny shit like this makes it so obvious that not a single person actually tried this UX. 10-15 years ago, Apple would never release something that isn't perfect, but now there are these UX edges absolutely everywhere across the OS.
I ended up not logging in at all, wrote my fix into a tiny fix-display.swift file which I'll run when it happens instead.