skysight-inc/HackerNews huggingface dataset:
> In the 22 years since I became a “switcher”, this is the worst state I can remember Apple’s platforms being in.

Indeed, I remember three times when Apple went a bit overboard on the feature front, but dialed it back and made some of the most stable and useful OS versions:

OS 8.5/8.6 pushed a bunch of features and were the last big pushes pre-OSX, but then OS 9 fixed a TON of bugs, and added a few smaller quality of life improvements that made running 'Classic' Mac OS pretty good, for those who were stuck on it for the transitional years.

Mac OS X 10.0 rewrote _everything_, and especially 10.0 was _dog_ slow, with all the new Quartz graphics stuff in an era where GPU accelerated 3D display widgets wasn't quite prevalent. 10.1 patched in a bunch of missing features (like DVD Player—it was still a pretty useful tool back then), and fixed a couple of the most glaring problems... but 10.4 Tiger was the first OS X release that was 'fast' enough OS X was a joy to use in the same way OS 9 was at the time. At least on newer Macs.

And then of course Snow Leopard, which is the subject of the OP.

macOS 13/14/15 have progressively added more little bugs I track in my https://github.com/geerlingguy/mac-dev-playbook project; anything from little networking bugs to weird preferences that can't be automated, or don't even work at all when you try toggling them.

That's besides the absolute _disaster_ that is modern System Preferences. Until the 'great iOSification' a few years back, Apple's System Preferences and preference pane were actually a pleasure to use, and I could usually remember where to go visually, with a nice search assistant.

Now... it's hit or miss if I can even find a setting :(
Adding to this, a solution might be enabling continuous releases and leaning into release channels could help in terms of getting more out to users.

In practice it's a challenge because the OS bundles a lot of separate things into releases, namely Safari changes are tied to OS changes which are tied to Apple Pay features which are tied to so on and so on.

It would require a lot of feature flagging and extra complexity which may reduce complexity.

Another way is to start un-bundling releases and fundamentally re-thinking how the dependency graph is structured.
At that point you might be better off getting a power distributor from an old server that was already designed to operate off redundant 12V power supplies. But you wouldn't want the server PSUs themselves due to the tiny loud fans.
If you are part of a community, be it a religion or [say] a sciencentific discipline, you have to do the ritual dance around the campfire. Not because it makes sense but because that is the way we do things around here. That one community will kill you and the other won't talk to you anymore doesn't matter for the result.

There are lots of different bible worshippers but there is only one academia. There might be small differences of opinion they all preach the same "proverbial" creation myth.
My guess is because for the median HN reader (an ordinary techie who doesn't talk much on video, and when he/she does, it's mostly to other ordinary techies), your setup appears to be expensive overkill.
https://threadreaderapp.com/thread/1905176792337461363.html

> UPDATE: The information above was fetched from some of the public leak databases going around internet. This particular leak is from 2016, so the account was created before that. The password used was consistent with other similar accounts allegedly linked to Hegseth.

> @realTimaV was able to create a new account with the username phegseth@mail.ru, which indicates that,
1) the account was deleted by the owner or scrapped by the service
2) the data itself is garbage, red herring, and it was added there by someone as a decoy
This project is fantastic, but you also deserve congrats for the 'Lens Maker'[0].

"If we have a compound optical system made of a series of lenses, mirrors, etc., we can treat each optical element as the layer of a neural network." Kudos.

[0]https://victorpoughon.github.io/torchlensmaker/
Having overtime pay that is a multiple of regular hourly rate is mandatory is many countries in Europe. Are you saying that European software tends to be more obfuscated? (answer: it is not).
curious, do you have a example or two of these? would love to read more about them
He decided to scam large companies out of thousands of dollars in employee wages and productivity in order to market his cheating tool. You can hate leetcode, you can think it is antiquated and not a good indicator of developer performance. But that doesn't suddenly mean you can dip into the pockets of companies for your marketing budget.

Average of 6 people involved in an interview loop. Let's say they make $250k a year each fully loaded on average (at the FAANGs, I'm probably underestimating). There's a 30-minute prep, a 30-minute debrief, the actual hour long interview, and probably 15 minutes of writing up the notes about the interview. Let's call it 2 hours. Taking the rough 2000 hours a year, that $250k is $125 an hour. So $250 per person times 6 people is $1,500. Times 4 companies is $6,000. Now, trade that 10 hours back for tickets. Who knows what the tickets would be, but it's 10 hours of work, with some likely positive ROI. I won't pretend to put a value on that, but it's non-zero.

He openly admits that he had no intention of taking the offers for these companies. He just wanted to test his cheating tool to see if it would work.

If that doesn't scream theft to you, I don't know what would.
And sure, can FAANG pay the bill? Yes. But should they have to?
What if he did it at a tiny 50-person bootstrapped startup? Can he be called a thief then?
“explained by a voice agent”

Does this really help?
you can boil it down to this, whats easier for most people? looking through websites and search engine results for answers or speaking in plain language? The answer is pretty obvious.

The validity of the answers is not 1:1 with its potential profitability.

Like James Baldwin said "people love answers, but hate questions."

getting an answer faster is exponentially better than getting the more precise, more right, more nuanced answer for most people every time. Doing the due dilligence is smart but its also after the fact.
> The dataset they used to train the model are chest xrays of known diseases. I'm having trouble understanding how that's relevant here.

For example, If you include no (or few enough) black women in the dataset of x-rays, the model may very well miss signs of disease in black women.

The biases and mistakes of those who created the data set leak into the model.

Early image recognition models had some very… culturally insensitive classes baked in.
There is a cost burden to not being 100% correct when it comes to programming. You simply have chosen to ignore that burden, but it still exists for others. Whether it's for example a percent of your users now getting stalled pages due to the webgl shader, or your lunch scraper ddosing local restaurants. They aren't actually forgiving regarding correctness.

Which is fine for actual testing you're doing internally, since that cost burden is then remedied by you fixing those issues. However, no feature is as free as you're making it sound, not even the "nice to have" additions that seem so insignificant.
AI's Impact on the Investing Landscape
Measuring violations is a poor measure, as enforcement varies wildly, and the worst offenders are probably also the most aware of when and where enforcement happens, so are good at dodging enforcement.

A better statistic would be at-fault crash rate. I imagine it follows the Pareto Principle: 80% of crashes are likely caused by 20% of drivers. I tried to find statistics to back up my intuition, but apparently statistics about fault are not tracked well.

Though supposedly, on average, American drivers experience one crash per 18 years, and 77% of drivers have been involved in a crash. But those stats say nothing about fault. I got into a crash only two months after getting my license, but it was because I got hit by someone running a red light, so I was not at fault. It's been 24 years and around 300,000 miles since then, and I have yet to have another crash, though I've gotten two speeding tickets over that time.
> Personally I'd much rather a system that takes decent care of everyone than a system that takes really good care of the rich whilst everyone else suffers.

This. I'm a retired U.S.-born physician and spent the majority of my career at a large multispecialty world-renowned medical centre in the U.S. What is not often talked about is that there is a category of patients whose access is even more facilitated than the 5-10% you mention. These are the 0.1% - the "Development" patients who are known or potential donors. Their care is carefully orchestrated with the highest of high touch. It's a moral abomination. The fawning, the obsequiousness.

A decade ago, we left and are now Canadian citizens.
It looks like people have created a few already: https://hub.continue.dev/search?q=flutter

I think it would be great to have one on the front page as well if there's something you find works really well. The nice thing about assistants is that a lot of the work is just browsing and clicking to add the blocks you want, and then when you really end up going deeper to customize the rules, this is just writing plain english!

I don't believe Cursor has added support for assistant files (https://docs.continue.dev/reference) yet, but think it would be great if they did! We've designed the format to be totally client agnostic and hopefully to be a simple, portable way to share assistants across any tool
This is much bigger news than I think people realise. With the push for more secure systems programming language, having a formal model will enable much more powerful tooling and theorem proving that will help spot, model, or identify vulnerabilities. (There will still be a class of vulnerabilities from when the implementation does not match the specification).
It really requires self-discipline to ignore the enthusiasm of the LLM as a signal for whether you are moving in the direction of a solution. I blame myself for lazy prompting, but have a hard time not just jumping in with a quick project, hoping the LLM can get somewhere with it, and not attempt things that are impossible, etc.
Starting points for first question: Look into i1Pro (later models of the first generation), which can be had for $200-400. Combine with some free or $99 Windows/Mac/Android software [0] [1].

Second question: It is still too hard even to find CRI for most offerings. It's pretty much a "buy, test, return the ones you don't like" situation. If independent reviewers start publishing spectrograms and making YouTube/etc videos, perhaps the industry will move forward some day.

0: https://www.argyllcms.com/doc/instruments.html#i1p2

1: https://rmimaging.com/spectrashop_brochure.pdf
Thanks for linking to this semi-interactive thing, but ... it's completely incomprehensible. :o (edit: okay, after reading about CLT it's a bit less alien.)

I'm curious where is the state stored for this "planning". In a previous comment user lsy wrote "the activation >astronomer< is already baked in by the prompt", and it seems to me that when the model generates "like" (for rabbit) or "a" (for habit) those tokens already encode a high probability for what's coming after them, right?

So each token is shaping the probabilities for the successor ones. So that "like" or "a" has to be one that sustains the high activation of the "causal" feature, and so on, until the end of the line. Since both "like" and "a" are very very non-specific tokens it's likely that the "semantic" state is really resides in the preceding line, but of course gets smeared (?) over all the necessary tokens. (And that means beyond the end of the line, to avoid strange non-aesthetic but attract cool/funky (aesthetic) semantic repetitions (like "hare" or "bunny"), and so on, right?)

All of this is baked in during training, during inference time the same tokens activate the same successor tokens (not counting GPU/TPU scheduling randomness and whatnot) and even though there's a "loop" there's no algorithm to generate top N lines and pick the best (no working memory shuffling).

So if it's planning it's preplanned, right?
That's the comment I was looking for to rally behind. I use the same character `-` for all purposes: minus, hyphen, em/en dash. It's easy to type and it makes practically no difference in meaning or legibility. I refuse to waste my time differentiating between multiple variations of a short horizontal line with a few pixels more or less. Ain't nobody got time for that.
The Ferrocene Language Specification has two serious problems: there are very large gaps in it, and what's present is very buggy.

If you pick a small part and look at it in isolation it typically looks quite plausible, but if you try to follow the definitions it very often just falls apart.
all fun and games until your AI generated script deletes the production database. I think that's the point, fault tolerance in academic and financial settings is too high for LLMs to be useful
So is using an LLM to write SQL for you like using a mitre saw instead of a table saw? I guess the crux is that you still need to do work either way.
Zoë Kooyman on Post-Stallman Changes at the Free Software Foundation
LLM providers actually have an incentive not to write literature on how to use LLM optimally, as that causes friction which means less engagement/money spent on the provider. There's also the typical tin-foil hat explanation of "it's bad so you'll keep retrying it to get the LLM to work which means more money for us."
Ahh Apple Vision Pro.

I entirely forgot it existed! They still sell that?
> OK - the whole process took a couple hours, and probably would have been a whole day if I were doing it on my own, since I usually only need to remember anything about SQL syntax once every year or three

If you have any reasonable understanding of SQL, I guarantee you could brush up on it and write it yourself in less than a couple of hours unless you're trying to do something very complex

SQL is absolutely trivial to write by hand
I recently got accused of using AI for some writing I submitted because I regularly use both en-dashes and em-dashes, and have for years. I said in another thread recently they are second and third, to semi-colons, as my favourite punctuation marks.

I was able to demonstrate my long use of them, prior to LLMs. And since I write in quarto markdown I don't need keyboard shortcuts.
Just take South Korea for an example. The president tried to enforce martial law, and got his ass handed back to him. Can you imagine anything similar to that happening to Trump?
Because I am exactly the kind of person to obsess about this sort of thing, when I was working on my last book, I spent a lot of time deciding how I wanted to style dashed subordinate clauses.

Personally, I think en dashes are too small and look like a mistaken use of a hyphen. I really only use them in their Chicago Manual of Style recommended uses like date ranges.

But I agree that em dashes without spaces around them look wrong. They glue the adjoining words together when the whole point is that the clause is secondary and should be set aside from the surrounding text.

I ended up using em dashes with a little blob of CSS to put a tiny amount of space on either side.
I just want to point out that the answer is shift work. Here's an example of an SRE job at a national lab:

https://lbl.referrals.selectminds.com/jobs/site-reliability-...

"Work 5 shifts per week to monitor the NERSC HPC Facility, which includes 2 - 3 OWL (midnight - 8am) shifts. Some days may be onsite, some may be offsite. The schedule will be determined by staffing needs."

40 hours per week, full salary, full disclosure about the night shifts, but none of this 24x7 wake up in the middle of the night on top of your regular job bullshit that the tech industry insists on.
Ooh +1 to both of these. We use shadcn as well :) and have been leveraging these docs: https://hub.continue.dev/vercel/shadcn-ui-docs, but there should totally be more in-depth rules for it and Firestore
Doesn't seem like an overly reliable source of information. The 2025 Ioniq 5 has been made in Georgia since October of 2024:

https://www.ajc.com/politics/hyundais-georgia-ev-factory-ope...
Honestly this says more about how bad Google has become than about how good GPT is
I have a copy of Snow Crash by Neil Stephenson signed by They Might Be Giants, somewhere.
They genuinely tried but enough old dumbasses finally realized that the ACA they loved WAS "Obamacare" to yell at them for it (look at the town hall videos) and McCain was upset enough about the way the party was going (that he had no problems with before mind you) to kill the attempt.

The republicans STILL claim to have "A concept of a plan" when it comes to healthcare. The one time they claimed to have an actual bill, it wasted 10% of it's text to strip government healthcare from people who win the lottery, like that's fucking worth it.

But they STILL get elected, because the same electorate who didn't want to lose their healthcare to goons killing it for profits for some reason go right back to them just a few years later, despite republican politicians lying TO THEIR FACES about it from day one.

Meanwhile, Democrats can come in with an entire presentation and plan and stats and graphs and all sorts of things and the electorate doesn't care because Fox News didn't tell them to vote for it.
A proper light controlled, dark ambient room is a lot more impactful for highlights than a higher peak brightness is
In medicine, if it walk like a horse and talks like a horse, it’s a horse. You don’t start looking into the health of relatives when your patient tells the full story on their own.

Sickle cell anemia is common among African Americans (if you don’t have the full-blown version, the genes can assist with resisting one of the common mosquito-borne diseases found in Africa, which is why it developed in the first place I believe).

So, we have a patient in the primary risk group presenting with symptoms that match well with SCA. You treat that now, unless you have a specific reason not to.

Sometimes you have a list of 10-ish diseases in order of descending likelihood, and the only way to rule out which one it isn’t, is by seeing no results from the treatment.

Edit: and it’s probably worth mentioning no patient ever gives ONLY relevant info. Every human barrages you with all the things hurting that may or may not be related. A doctor’s specific job in that situation is to filter out useless info.
I have typed Alt+0151 almost every day for decades—and now with some annoyance I am limiting their use due to the "that's how LLMs write."
I’m not sure why it matters, just give people problems to solve and let them use whatever tools are available
There are some factual "gaps" there about how good Snow Leopard was, but I understand the sentiment. As someone who's been a Mac user since System 6 and has been consistently using Macs alongside PCs _daily_ for over 20 years I can say that Apple's software quality (either in terms of polish or just plain QA) has steadily decreased.

It's just that me and other old-time switchers have stopped complaining about it and moved on (taoofmac.com, my blog, was started when I wrote a few very popular switcher guides, and even though I kept using the same domain name I see myself as a UNIX guy, not "just" a Mac user).

For me, Spotlight is no longer (anywhere) near as useful to find files (and sometimes forgets app and shortcut names it found perfectly fine 5 minutes ago), and there is no longer any way to effectively prioritize the results I want (apps, not internet garbage).

Most of the other examples in the article also apply, but to be honest I've been using GNOME in parallel for years now and I consider it to be my "forever desktop" if PC hardware can ever match Apple Silicon (or, most likely, if I want something that is _just a computer_).
That assistant had better be Clippy. "It looks like you're trying to setup your Mac, Would you like help?"
Sure, if it helps you sleep. There is a good reason for you to consume less
4b. Collapsible green screen[0]. Can't recommend this enough if you don't want/have the ability to stage or curate your background (my "office" doubles as a guest room). It's also excellent for presenting and handy for any number of one-off things. When I don't need it I just slide it under the bed, easy.

What teleprompter do you use? How do you use it?

0. https://www.amazon.com/FUDESY-Collapsible-Auto-locking-Green...
I wouldn’t call this “incoherent” rather, I propose the terminology “vendor subvertable”.

Yes, any time a vendor of software has any direct update capabilities, a targeted update can bypass the encryption provided by some software.

In practice, we tend to delegate to a 3rd party like an OS distribution packager, where there is a delay between vendor releases and packaging. Where it can be discovered.

Another good reason to use open source for core cryptography libraries and any code a vendor supplies should be open and repeatably built also.
With appointment .
This looks interesting. Does anyone knows how it compares to other learning theory books like foundations of machine learning [1] in terms of depth and approachability?

[1] https://cs.nyu.edu/~mohri/mlbook/
I don't know. It does turn out that one can find guns if one needs them, legally or not, and revolution doesn't require a Constitutionally mandated right to keep and bear arms. Not that a tyrannical government would respect such a right anyway, unless they had the gun owners on their side. The only things guaranteed by the Second Amendment are a market for guns and some irreducible amount of societal gun violence.

Even in Japan, where the gun laws are so onerous even the Yakuza supposedly avoid dealing with them, that guy managed to build his own and shoot Abe Shinzo.

Meanwhile in the US that tree of liberty they love to go on about is getting real thirsty.
I think you're confusing "modal" with "model".

And to answer your question, it's very clearly in the linked article. Not sure how you could have read it and missed:

> With GPT‑4o, we trained a single new model end-to-end across text, vision, and audio, meaning that all inputs and outputs are processed by the same neural network. Because GPT‑4o is our first model combining all of these modalities, we are still just scratching the surface of exploring what the model can do and its limitations.

The 4o model itself is multi-modal, it no longer needs to call out to separate services, like the parent is saying.
Minor nitpick about early OS X

There was no acceleration (even 2D!) until 10.2
San Francisco startups hiring now
can take a look at Quill.co if you just want it taken care of for you. Bring any sql DB, and all you need to worry about is frontend styling & workflows.
It somehow feels that one has to come up with a tailored strategy for each CVS import that contains decimal numbers, dates and/or other data with dots in them. Most of the time I end up regexing my way out of the failing (and different) attempts the different build-in options in Excel deliver. LibreOffice is better, Apple's Numbers partially worse in that regard. Funny to see these things in that state in 2025.

Discussing number data with current LLMs also does not seem right at the moment. Not sure if simple column-specific conversion tasks might work.
Turns into different things (like a bulleted list) in different situations in Word, though.
I've been on-call (sometimes on a rotation, sometimes always) for the past 10+ years. So, yes. It's common.
> Hate crimes only serve to give a specific group protected status

I mean that’s literally the point.
> prioritize the results I want (apps, not internet garbage).

Settings -> Spotlight -> Websites, UNCHECK