skysight-inc/HackerNews huggingface dataset:
AI... advantage? What advantage? Apple Intelligence doesn't exist yet. Its likely to be 2026 before we see the most significant features released. Customers by-and-large do not care about any of these features, whether built by Apple or Google. How much did Apple pay for this article?
I mean sure, that sounds plausible, until I point out in Germany that I don't speak German and they continue trying to explain to me in German the answer to my question.

If I'm talking to an Italian and trying to explain to them in English and they don't understand then I try with a combination of my broken Italian and hand signals, not obdurate sticking to English because that's being a jerk.

At the same time, yes Danes have a high English literacy, but switching to English when someone is talking to you in Danish is rude no matter how you slice it.
Not disputing anything you said but... The issue I see is that without notion of time it is difficult to talk about causality (I guess you could only talk about "entanglement"). It is actually difficult to talk about "events" at all - I guess you can only talk about "facts"?
It's the twitter (the company)'s blog, not twitter posts by users, so nothing spicy per se, but still concerning that it's missing after the hack.

The blog is now at blog.x.com now, so decided to link both, so you can see if there is any difference.

https://web.archive.org/web/20240000000000*/https://blog.twi...

https://web.archive.org/web/20240000000000*/https://blog.x.c...
Yah - it lies outside of the narrowly technical (though technical systems come up a lot) and part of what I would talk about would have been: how much is this a trick and how much of this is real? Like, is software doing slight of hand and really Uber (or whoever) should be taxed on an externality / risk? Or does this electronic machine of software genuinely create a new arrangement of responsibility? My unhelpful understanding is "it depends" and even in the Uber case it's a bit mixed, though on balance I think Uber is more of a scam than a truly new thing (even though there's some new there).
Technically in JavaFX you can work with UI objects off the main thread, for instance to load or build up UI in parallel. The single thread requirement only kicks in when UI is attached to a live window (stage).
Maybe the bust will be so rough that TSMC will go out of business, and then these graphics cards will not go obsolete for quite a while.

Like Intel and Samsung might make a handful of better chips or whatever, but neither of their business models really involve being TSMC. So if the bubble pop took out TSMC, there wouldn’t be a new TSMC for a while.
If it can run a Linux shell and launch Docker containers without heating up to 60c, it's got a leg up on my Macbook. That's for sure.
AGPL prevents this easily, the reason this happens so often seems to be that way too many devs default to MIT/Apache and other way too permissive licenses and are then surprised when that permissiveness is used against them.
That doesn't mean that's universal, particularly for those of us who remember 64 bit CPUs before x86-64. I'd even wager that very young people stopped associating it with x86 at all since all x86 CPUs, save some Intel holdouts, have been 64 bits for at least the last fifteen years.
A decade and a half ago, I came across this beautiful bar in Bahrain (online) that was visually appealing to the eye with contrasty colors. I was so fascinated by it that I started writing a simple algorithm to just extract out the dominant colors in the image, just for fun, but mostly because I was so lazy to open Photoshop and pick the colors out manually.

Turns out, this is actually a real challenging task for computers - what the eyes perceive as dominant, computers do not and vice-versa. For example, if you draw a small circle on a black board with white chalk, take a picture of it and ask a computer, it will tell you black is the dominant color because it covers most of the pixels. Whereas, any human would tell you the white drawing is the dominant color because it stands out.

There are some ways of guiding the computer to get the color palette you want out of an image, but they are never as accurate. Over the years, I would from time to time, throw a bunch of images at it - ranging from portraits to beautiful flowers from gardens to see how my algorithm would perform and improved it bit by bit. I would say, it is close to 90% accuracy now and I still work on it over the weekends. It has no use cases so far (for me). It just exists as a pure passion project that got me excited about programming such algorithms.

Recently, I did a Fashion degree just out of passion and I realized this code has so much applications for things like making mood boards and color palettes from inspiration boards. However, none of my professors nor fellow students were impressed or saw utility in it because they believed no algorithm can match or replace a true creative process. They are pretty old-school about this, so, there's that. But, they just didn't seem to understand the technical challenge about this seemingly simple task.

However, over the years, I did build an API around this algorithm, kept fine tuning it and even made some marketing material for it. For no purpose other than reminding myself of why I am excited about programming.

If you're interested, here is a decade old snapshot of the algorithm's output:

https://ibb.co/SvYLLG3

https://ibb.co/tHKf9T8
It's OK, but far from enough for a power user. After trying it out, I decided to go back to using the open source Rectangle: https://rectangleapp.com/
> I will take AI bubble over crypto bubble any day of the week.

I've been in the former since '21 and have seen every single cycle since 2011 in the latter, I can assure their is more dumb money in the former than in the latter; (just by scale alone) at least in the latter whether it was ICO or NFTs or whatever mal-investment was promptly punished (rugpulls/exit scams) companies like INTEL get to stay in Zombie mode because of the corpo-welfare that the US doles out while shaming everyone else to be prudent with their investments while these corps and banks spend like drunken sailors and tries to strangle the former out of existence (rightly so in most cases as most crypto is a total scam).

With that said, what you will see emerge are some incredibly established players in both fields that will have the staying power to change how the Industry is shaped around them: Nvidia and Bitcoin are comparable to one another in that respect.

Both have/had crazy volatility but the staying power and just the fact they remain firmly at the center of both Industry's is rather telling that you simply don't see what these technologies offer because of the hype and boom and bust cycles.

As a person who directly benefits from this: I can assure you most of these VCs are exit liquidity just as most foolish people are for the alt scams of yore, execpt the US economy (likely all of the Western World at this point) isn't entirely reliant on the promise of vapourware with 'crypto' in any capacity, weheras the same cannot be said about the theatrics of Jensen's Nvidia.

Source: I build data center infrastructure for these mega corps doing 'AI' and I'm doing an MSc in CS (Big Data) and been a Bitcoiner since Satoshi was still on BTF.
> While I agree with your essential conclusions, I don't think the automobile companies really fit.
Many of the early 1900s companies (e.g. Ford, GM, Mercedes, even Chrysler) are still among the largest auto companies in the world.

American Automative filled for Bankruptcy multiple times.

American Government had to step in to back them up and bail them out.
Many folks keep thinking that just because Android uses the Linux kernel, it is supposed to behave like GNU/Linux.

Likewise they will be rather surprised to insist in targeting iOS/iPadOS/watchOS as if they are UNIX clones.
That’s one of the saddest bits of AI enshittification yet.
CockroachDB created what they call Business Source Licensing intended to leave the code open but prevent what AWS did to ElasticSearch.
But what is “One time step” in that universe? We have the idea of a light clock - light bouncing between two perfect mirrors in a vacuum - as an ultimate clock.

The distance between the mirrors is a number of meters. A meter is based on how far light travels in a second. How long it takes light to go between them is based on the speed of light. Speed, distance and time are connected.

If we untether the speed of light and it’s unlimited, then in some sense there is no way to say how long it takes light to bounce between the mirrors - it doesn’t take any time. And there is no way to say how far apart the mirrors are, if light passes between them instantly that implies there must be no gap to cross. If light crosses no distance in no time then it also bounces back covering no distance in no time, ahh does lots of bounces in no time. There goes the concept of a time step and any concept of “non immediate effects”.

If you try and add time as a separate thing, then you have some kind of Conway’s game simulation - but that gives you a way to track where light is (which simulation cell it’s in) and therefore a kind of distance (how far the mirrors are apart in simulation cells) and then you lock down how light moves in “simulation cells travelled per timestep” which brings you back to a fixed speed of light again.
Indeed.

While it ought to be possible to solve for just RGB… making it needlessly hard for yourself is a fun hack-day side project, not a valuable business solution.
> it wasn't machines protesting and overthrowing governments in Eastern Europe in the late 1980s, for example

Curious example indeed. It wasn't machines that killed communism but its economic inferiority. Same thing that killed slavery and serfdom and feudalism and sit-at-home-women and other outdated social systems before that.

People are the same as they were 2000 years ago. The economic optimum is not, largely thanks to technology.
There is no way to cancel these debts because the creditors and debtors are different. The parent comment assumed creditors and debtors are the same.
Could you pls. point to the said book or some other resource for me to learn about this? As such, I follow what you have said, but would love to see the math too. Thanks.
GPUs are different than CPUs.

They’re way more efficient at matmuls, but start throwing branching logic at them and they slow down a lot.

Literally a percentage of their cores will noop while others are executing a branch, since all cores are lockstep.
Re: Slack chat:

Glean.com does it for the enterprise I work at:
It consumes all of our knowledge sources including Slack, Google docs, wiki, source code and provides answers to complex specific questions in a way that’s downright magical.

I was converted into a believer when I described an issue to it, pointers to a source file in online git repo and it pointed me to another repository that my team did not own that controlled DNS configs that we were not aware about. These configs were the reason our code did not behave as we expected.
Oh this very much reminds me of [feldera](https://feldera.com) — they do incremental loads and computations using some novel approaches (most of which i am too dumb to follow). Really nice folks too.
The homeless and others are also doing "mime stalking" which is as stupid as it sounds. They'll monitor what I'm doing online and then follow me around acting intentionally stupid with body language and clothing until I say or do something irrational and then they get a payoff.

It's stupid and they're awful. At this point I'm just repeatedly looking up all the ways they've attempted to have me poisoned in the shelter system in San Francisco. I have headaches all the time and my health is poor. All this from not drinking smoking or doing drugs. They're just poisonous sociopaths. Please don't come to this city. They're broken people.
> Same goes for the iPad with AI. What are people going to use it for?

I don't think it's necessarily Apple's fault that there haven't turned out to be a whole lot of genuinely productive or groundbreaking use cases for generative AI.

With regard to your other issues, it sounds like you just don't like Apple's vision. But that's not really relevant to how they make use of generative AI and probably belongs in a broader discussion about Apple.

My take on it, in any case, is that if Apple decides you're not an important market segment then you're not an important market for them. That's all there is to it. They may occasionally waver and indicate that e.g. triple-A gaming is coming, etc. etc. But really it's better to count on them not caring much about niche or even popular markets if it interferes with their broader goals.

Calling Apple's vision "revolutionary" is not the wording I would use. More like "highly opinionated, well-polished software with hardware that's just a bit ahead of the curve".
To be fair, it's really messy to do Go on Android calling back into Java because of how its runtime works. I'm not surprised they don't want to do it if it's a hobby project and it'd require making substantial changes to Syncthing's core logic.
> saved up from my childhood

Isn't Euro just from 2002? That surely is not that long time ago!
https://azure.microsoft.com/en-us/blog/drasi-microsofts-newe...
Would like to shoutout Lasso here

Also, Windows Fancy Zones is very good in this area, fwiw (obvs not available on Mac, just saying, it's extremely good).

Bento for Mac tries to be like Fancy Zones, but it falls short for some reason I don't recall, some key feature they don't support (I think maybe it was ability to have different splits for different monitors, will have to try it again)
I recently managed to fit Loader's number, which is about the largest finite number ever conceived of that's still computable by a small program, into a mere 233 bytes of code. No practical use except as an entry in golfing contests [1].

[1] https://codegolf.stackexchange.com/questions/176966/golf-a-n...
I still dont understand why they name the chip it uses as A17 Pro when it has one GPU less that A17 Pro used on iPhone. They could have just call it A17.

Not only a Pro SoC in the Mini, it is also using the rare N3B rather than N3E. I guess Apple has committed to a minimum N3B usage from TSMC for them to continue. AFAIK Apple is the only one using it.

The nice thing is that the repaid transition to whole lineup being AI ready is that 8GB is finally standard on Smartphone, and hopefully at least 12GB or 16GB on Mac.
Surely it's obvious that language production and perception evolved out of more primitive animal vocalizations, used for communicative purposes. How could it not have ?!

Note that human speech ability required more than brain support - it also required changes to the vocal apparatus for pronunciation (which other apes don't have), indicating that communication (vocalization) was either driving the development of language, or remained a very important part of it.
That phase is called consolidation. It’s part of the cycle. The speculative over leveraged and mismanaged companies get merged into the winners or disappear if they have nothing of value.
Short URL generator with emoji as characters.

Communicating via paste would work but speaking or typing was near impossible.
I remember listening to Dr Robert Martin who was leading Bell Labs in the late 90s and he talked about how the bandwidth capacity was pushing to infinity while cost per bit was pushing towards zero and we all know how that ended for the optical capacity builders of that time before the bubble popped. Is there a case for intelligence being inexhaustible to demand ? Is there a case for, as Sama says, the cost for intelligence as in input to a system converges with the price of electricity needed to power the gpu behind it in the daya center? Yes and yes. Still the same could be said for a bit of bandwidth.
You can use text-wrap: balance; on icons
In that case I hope they're prepared to work with local authorities to immediately update the map every time road layouts change, temporarily or permanently. Google Maps gets lane guidance wrong very often in my experience, so that doesn't exactly fill me with confidence.
I think this study is related to two books I read this summer: Burn, by Herman Pontzer, presents his "constrained energy expenditure hypothesis," and Exercised, by Daniel E. Lieberman, discusses his "costly repair hypothesis."

Together, they try to explain why exercise can force your body to stop using its energy to destroy itself (inflammation, autoimmune diseases) and instead use its energy to restore itself (releasing antioxidants, repairing damage).
I think people may not be aware of how much medical research is happening right now based around ML. It is a key component of our liquid cancer biopsy. If anything, there might be a bit too much hype-driven development at the moment. I would be cautious of any ML-based diagnostic that isn't leveraging the technology to better understand the biological aspects of cancer itself.
This is the battery “theory,” and is obviously untrue from all evidence collected. Exercise and specifically improvement of VO2max, which is the bodies ability to pump and process a volume of blood and oxygen in a period of time, are some of the strongest predictors of life and health span. A lack of exercise also transpires to significantly increase global inflammation in the body - in fact regular exercise forces the body to adapt to a new homeostatic use of calories away from random inflammation to conserve daily caloric expenditure towards that exercise. There’s no evidence to support the battery “theory,” despite certain anti science politicians popularizing it.
It is - the way I always structured our architecture in this case was to write as much as possible of file handling in Java side and keep JNI surface minimal (it's also better for performance).

But that's really hard to do if you didn't begin with cross platform architecture that doesn't take into account having to modularize the filesystem layer for Android/iOS :/
Thanks. I didn't know that existed. But does it scale? Would it still work if large companies with many millions of Slack messages?

I suppose one reason Slack doesn't have a solution yet is because they're having a hard time getting it to work for large companies.
Since apparently I'm being misunderstood: the comment wasn't "clarifying" anything, it was only attempting to re-impose euphemistic and deceptive PR language.

Everyone knows Starliner is as good as dead. It's what Boeing wants even, since Starliner is a huge money pit.

The only ones propping up this continued "delay" fiction are the NASA and Boeing PR departments.
Related HN discussion - https://news.ycombinator.com/item?id=41831735 using Prolog as an intermediate target language for LLM output improves their 'reasoning' abilities.
Fans come to the rescue of popular Mario content creator
You might be right, but the crypto people were/are basically religious in their responses. I see a few loons for LLM's talking about how AGI is near, and of course there's the EA/LessWrong people talking about doomsday. But none of them were as staunchly dug in _and_ misinformed as the crypto folks.

edit: if it isn't clear I'm a staunch opponent of cryptocurrency in any form.
IIRC, Next.js became popular because it made SSR fairly easy, and Vite wasn't as much of a standard as it is today.
React at this point is the standard for frontends, if you're not using templates.
They did, the upstading app developers like this one just forced people to give them full access to all data in the app (or the app wouldn't run) and ended up not implementing scoped storage - something HNers outright demanded several times and exposed as a good upside of iOS.

So stick had to come out. The full filesystem access is now reserved for apps that manage full filesystem (e.g. file explorers) and that's it. Scoped storage APIs were introduced in 2013, 11 years ago and Play started enforcing them in 2020, so the experiment with scary warnings was running for 7 years and developers refused to give up on that sweet full private file access.

Granted, SAF is quite a shitty API.
Why don't you? Here's a calculator:

https://gregsspacecalculations.blogspot.com/p/blog-page.html

1G of acceleration (which I'd hope you agree is survivable by humans) over an extended time period can easily reach relativistic speeds.

1 day .0028c
1 week .02c
1 month .086c
1 year .77c
2 years .97c
3 years .996c
4 years .9995c
5 years .9999c

The thing stopping us from doing this today is economics, not physics. Current rockets have about enough fuel for minutes of acceleration, and fuel requirements increase exponentially due to the tyranny of the rocket equation. If you skip the need for fuel (laser propulsion?) and find some way to decelerate (laser cooling propulsion???), then interstellar travel to pretty much anywhere becomes entirely reasonable within human lifespans.

https://en.wikipedia.org/wiki/File:Roundtriptimes.png
How College Students Beat Boeing in a Battle to Take Down Drones
Elon Musk given Rusty Razor pseudoscience award
The Padauk chips being discussed here aren't RISC-V. Gas is an adequate macro assembler for RISC-V, but I think the Padauk chips don't have anything similar. Still, you can get pretty far with m4... or writing a shell script with an echo function.
Link to full paper:

https://www.picardlab.org/uploads/7/7/8/4/77845210/2022_bobb...

Lots of interesting stuff about mitochondrial allostatic load. It's essentially a Goldilocks problem - the car that's never driven breaks down quickly when you take it out for a drive, but if you're constantly pushing the accelerator and slamming the brakes, the car's lifetime is cut in half. The paper seems to focus on social and psychological factors that unnecessarily increase stress:

> "From this energetic perspective, the evolution of likes and dislikes, feelings and emotions, and approach/withdrawal behaviors arose to minimize the energetic cost of life."

Case example: Someone just asked me about my holiday season plans and my blood pressure probably went through the roof... I think I'm going to send them this paper.
My Library of Ordinal Notation Systems shows a way you can systematically write more and more complex code, with no end---even if you had access to strong AGIs, they could never "finish" the exercise. https://github.com/semitrivial/IONs
See, I recently picked up the Ash framework for elixir and it does all that too, but in a declarative, precise language which codegens the implementation in a deterministic way.

It just does the job that cursor does there, but better.

Maybe us programmers should focus on making higher order programming tools instead of black box text generators for existing tools.
Does Microsoft still own a patent for window snapping? Could this be why windows on Sequoia don't snap exactly at the screen border but leave a gap of a few pixels?
The DoD mandated v6 a few years back. The US government could easily dictate that all of their supplied software had to support it.
I've worked with microservices at scale and it was fantastic. We couldn't break backwards compatibility with our API without a lot of coordination. Outside of that, you could deploy as frequently as needed and other services could update as needed to make use of new features.

The monoliths I have worked in, very contrastingly, have had issues coordinating changes within the codebases, code crosses boundaries it should not and datastores get shared and coupled to (what should be) different domains leading to slow, inefficient code and ossified options for product changes.