skysight-inc/HackerNews huggingface dataset:
Well, I have a proof of the Riemann hypothesis for you, here's the outline (...), feel free to spend your time to figure out what I'm trying to say. It'll only take some 30 minutes of your time.

Now, imagine if I even worded that in a way of saying how stupid all the Fields medalists are for not figuring this out, since it only uses basic math..
Personally, for me this flow works fine AI does the first version -> I heavily edit it & debug & write tests for it -> code does what I want -> I tell AI to refactor this -> tests pass and the ticket is done.
I guess the contract on the LNG comes in to play, is it selling at an already agreed price or the price on delivery, what is happening to that price in the next 30 days, are there penalties etc.
Web managed to survive and thrive without App Stores, so I agree with you. What we need is resilient implementation for applications, so it's safe to install anything, just like it's safe to browse anything. May be some curation is good for applications with very deep integration with OS, like file browsers or remote control. But for typical application which could work as a website, there's no reason to have any curation.
Aside from everything else she's dead so I don't see the point of nullifying the marriage now?
That was part of it, but the engine failures that immediately caused a loss of trajectory (it was visibly off even before it cleared the pad) were most likely the worst problem.
Did you consider using BT or UWB as a radar? On a tennis court you won't have any obstacles to worry about, I suspect it's relatively easy to solve.

UWB in particular is accurate enough to get breathing patterns...
I would say the four best Linux distros for Programmers (not for servers but personal use / business use) in no particular order:

- Linux Mint (which is based off Debian)

- Debian

- Fedora

- Gentoo

Thoughts? Ubuntu since a while would no longer make this list (in my opinion).
You can just switch to “following” mode, but it is an annoying extra step.
How? If they're in a low orbit how can they get higher to pose a threat? If they collide with something that is en route to a higher orbit, then the collision takes place in this low orbit, and any debris will also be in that low orbit?
This is the second "law" of the dialectical materialism by Engels:

"The law of the passage of quantitative changes into qualitative changes"

According to Wikipedia it has its roots from ancient Greece
https://en.wikipedia.org/wiki/Dialectical_materialism
Yeah.
E.g. GPT-4-turbo's JSON-mode seems to forcibly block non-JSON-compliant outputs, at least in some way. They document that forgetting to instruct it to emit JSON may lead to producing whitespace until the output length limit is reached.

In related info, there is "Guiding Language Models of Code with Global Context using Monitors" ( https://arxiv.org/abs/2306.10763 ), which essentially gives IDE-typical type-aware autocomplete to an LLM to primarily study the scenario of enforcing type-consistent method completion in a Java repository.
If the good and the evil are encoded in human genes, then we should kill all bad people and all problems in the world will be solved.
> It answers questions confidently but with subtle inaccuracies.

This is a valid challenge we are facing as well. However, remember that ChatGPT which many coders use, is likely training on interactions so you have some human reinforcement learning correcting its errors in real-time.
> He suggests he taught himself rocket science and that he's personally involved in designing these rockets and cars. I have some doubts about that.

You can doubt all you want. This is easily verified.

1. https://twitter.com/lrocket/status/1512919230689148929

2.https://twitter.com/lrocket/status/1099411086711746560

3. https://en.m.wikipedia.org/wiki/Tom_Mueller

4. https://youtu.be/aGOV5R7M1Js?t=1748

As expected, you can't produce sources to support your claims.
I think what will happen is what happened to hardware. You used to come across people who could do things like solder components to a board and hook up various ICs as well. Heck, I did this at uni.

Now that layer of craftsmen is gone. You are either an uber-expert in how computer hardware works, or you just buy the hardware and treat it like a kind of magic.

Traditionally to become an expert you went through an intermediate stage, showed your interest, and got trained. Your hobby could turn into a profession, since the step up was gentle and interested people were needed to do some of the supporting work.

Nowadays if you're going to work in a chip fab, it's not because you were a soldering iron kid. You go through a quite long academic process that doesn't really recruit from the ranks of the hobbyists, though of course you'd expect there to be some natural interest. But the jump isn't gentle, you end up learning some pretty advanced things that make soldering seem like the stone age.

Software has this layer of craftsmen still, though it is rapidly dying, and not just from LLMs. There's a enormous number of people who can more or less hook up a website and make it work, without knowing everything about how exactly it does that. There's also plenty of excel people and python scripting people who use code in their day-to-day, but can't tell you advanced concepts. There's a lot of modern services that make this sort of thing easier (wordpress etc), and this level of skill is very learnable by people in the developing world. It's not like you can't become a real expert in those parts of the world, but economically it makes sense that there are a lot of intermediately skilled there.

What will happen with GPT and the like is the experts will not need as much help from the juniors. If you're a software architect in charge of a whole system, you won't just sketch out the skeleton of the system and then farm out the little tasks to junior coders. Maybe there are pieces that you'd farm out, but you will definitely save on the number of juniors because an LLM will give you what you need.

The result being that we'll get fewer people trained to the highest levels, but those who are will be much more productive. So those guys will indeed be entering the quantum age, but it strands a lot of people.
The reason nuclear is so expensive and slow to build is overregulation. It also slowed R&D so much that we haven't created and tested the reactor designs that were safer, smaller and easier to run.

It's like when inventing the airplane we would've stopped because the high number of crashes and never reached today's safety and convenience.
> What do I win in exchange for getting accustomed to this?

Ask the shitheads placing PrtScr in the place of ContextMenu?

But this is irrelevant, TS states:

> I'm used to ANSI with single row Enter and I don't seem to be able to switch to ISO (in the past I was forced to order and replace keyboard in my laptop because of that

The size and form of the steering wheel, pedals and stick varies, yet they are located in the same place on a half-liter ultracompact and on a 5t lorry.

Since 90s I had used all the types of keyboards, with wildly different Enter-key shapes, with different "/" key placement, even with Escape being not the leftmost key. I used keyboards without any marks (and that wasn't Das Keyboard) and I used all the kinds of shitty keyboards (not including notebook ones). Aaaand I used all the notebook keyboards what some fuck decided to fuck with layout with absolutely no fucking reason. Oh, and let's not forget the greatest invention in 21st century: replacing the Function keys with whatever shitty function by default, because you reaaaaallly need to change the volume, monitor brightness, enable\disable wireless network and change the output to the external screen every couple of seconds, yes? Even the notebook in the topic has the power button where it should not be at all and which would actually break my muscle memory, because most sane notebook layouts have the Delete key there.

But I never ever had the trouble finding the Enter key on those keyboards. And I never had the trouble to actually adapt even to the shittiest keyboards. Well, except this PrtScr shit on the ThinkPads but even them.

Claiming a human being can't adapt to a slightly different form of the Enter key is like claiming what you can't drive the car because the steering wheel is slightly smaller than in your previous car.
Nope, the satellites are flying so low that they will reenter the atmosphere and burn in few years no matter what happens .
Waning days of the career associated with it. Similar to how old craftsmanship has been superseded by machine/industrialisation.

The need for mastery of the craft will be lesser, and so mastery of it will wane, as people depend on AI instead. Then if you ever need someone to do it without AI, you might no longer be able to find anyone with the craftsmanship know-how to do it.

Also, it'll probably bring down how good coding is as a career. As productivity enters this quantum state, you'll need less engineers, and they'll need less qualifications, which might translate to less jobs, worse pay, and an increased expectation in productivity that makes you dependent on AI, as you can no longer meet these expectations and compete with others if you also dont fully leverage AI.
Calling bullshit is maybe too harsh. There may be requirements matching the available training data and the right mood the LLM has been tuned for where it delivers acceptable, then considered flawless, results (extreme example: just try "create me hello world in language x" will mostly deliver flawless)... and by that amateurs (not judging, just mean less exposed to variety of problems and challenges) may end up with the feeling that LLMs could do it all.

But yes, any "serious" programmer working on harder problems can quickly derail an LLM and prove otherwise, with dozens of his simple problems each day (tried it *). It doesn't even need that, one can e.g. prove ChatGPT (also 4) quickly wrong and going in wrong circles on C++ language questions :D, though C++ is still hard, one can also do the same with questions on the not-ultracommon Python libs. It confidently outputs bullshit quick.

(*): Still can be helpful for templating, ideas, or getting into the direction or alternatives, no doubts on that!
Thanks for pointing out that specific example and comparison. The solution seems like it's just a less readable pipeline.

puzzle_input split "\n\n" map ints map sum then max;
puzzle_input split "\n\n" map ints map sum then sort then (_[-3:]) then sum;
How come YouTube doesn't turn a revenue? Is it even possible, it uses so much bandwidth? Any sources?
Recently saw a Scale x OpenAI webinar that described some strategies for improving RAG systems. Looks like there are a good number of strategies to try for optimizing the retriever, like optimizing chunk sizes and classifying/ranking chunk relevance, but building a robust RAG system require rigorous experimentation against the specific dataset that feeds the retriever. Not sure how many of these GPTs bothered with this experimentation, and I think you are right that without knowing how that retrieved data is fed into the model they have very few parameters to experiment and optimize with, so they probably just can’t.
You can write A | B | C | result=$(cat) in shell.

Edit: this only works if the shell runs the last command in the current environment (as opposed to a subshell), and only ksh and zsh seem to do that...
Really, they don't require text they require tokens, and they can be built with toolchains that turn aby kind of input into tokens. They are called LLMs because they are initially trained on a large bosy of text with all or some of the available tokens mapped to text, but they can also be trained with mappings of other inputs into tokens (either distinct or overlapping the tokens mapped to text), and then you end up with a multimodal toolchain.

But even if they did require text, that's how a large portion of communication from work-issuer to human workers, and vice versa, goes, too, so even if it was true it wouldn't be all that limiting; we don’t communicate directly mentally withbother humans bypassing text.
George Orwell and the thoughtcrime of trade marks
A sort of companion piece to https://news.ycombinator.com/item?id=38249587
Integrating ads with your app isn't merely trying to manipulate your users in a way that is liable to exploit, harm, disadvantage, or oppose their interests. It is virtually certainly compromising their privacy in a fashion that isn't immediately obvious and opening up a security hole that may be used to harm them further.

The first and most obvious clue that what you are considering is wrong is the fact that you are admitting that if people were presented with a choice they would overwhelmingly opt out of such a system so pervasively that there wouldn't be any money in it at all.

> That would effectively make it impossible for single/small dev teams to justify making apps for the Play store.

This is an inversion of priorities. The dev's profession exits to create useful things for users. The users don't exist to enable the devs profession. If the only way an app can come into existence is through the exploitation and disadvantage of its users then the world would be better off if it didn't exist.
These 9th graders are luck to have you! The skill of taking initiative and finding the drive to look for information is a very powerful one.
It feels like an IAP would be more fitting than an entirely separate app, though -- it'd be a shame to require a new listing just to work around this filtering.

Maybe static analysis could determine whether the IAP unlocked a new feature/functionality or not, feeling into the labelling/filtering?
Doubtful that they could move faster with him taking a more active role. Starship could have launched months before, but they have been waiting for FAA approval. It is not Elon's lack of attention holding them back.
> It was seemingly a startup within a massive company

And then that kind of repeated itself with the origin of the IBM PC, didn't it?
Ask HN: Papers in AI, ML, DL to read for the quality of explanation?
There are important papers and then there are nicely written important papers. For the field of AI, ML and DL which papers are of the second kind?

Important works that are terribly written have to be filtered by a textbook author to take them to the masses. A nicely written paper doesn't require that.
This has to be the most disappointing band-aid they possibly could've trotted out to the American Public. And by "Band-aid", I mean, "Piece of scotch tape they're slapping on a gaping wound and saying it's 'fixed'."

My biggest fear is that the American public is going to look at this and say to themselves "oh look, they fixed the problem!"
> sometimes you have to tailor your question to ChatGPT, for it to succeed

Right, which means its a force multiplier for specialists, rather than something that makes generalists suddenly specialists.
You could check out what we're building at https://www.corbado.com. It's passkey-first / passwordless authentication solution. Technically, it's based on HTML5 web components which are framework-agnostic and work perfectly with vanilla JS.

Maybe it's useful in your case.
Much is lost (and I learned this painfully reading the translation along with the annotations in APF), but also a lot is added by the translator. The translators had a lot of freedom – with Pterry's blessing – and some of them put it to good use. I love the Polish translation by Piotr Cholewa.
> Maybe we should employ the methods we use to ascertain that fellow human beings are conscious entities with subjective experience?

What methods? Are there any? Is there suddenly some consensus among philosophers about the p-zombie thought experiment?

AFAIK effectively the best we can do is (a) ascertain that you yourself are a conscious entity with subjective experience and then (b) assume - with no way to ascertain that - that the humans around you are like you.
>> Arguing that it's okay because you will never be found out isn't relevant.

> I didn't argue this at all,

I apologise. In the bit that I quoted, specifically this sentence:

>>>> I would think the only way the wife would know is [...]

it appeared to me that you were arguing that the wife would never know unless [...] happened. To me, that sentence implies deceiving the wife.
The 2016+ era MBPs were awful.

The previous 2 generations were good, but had their occasional issues. Like the drive cable on the unibody MBP. I got 7 years out of a 2012 Air. The jury is still out on the m1 era, but it's looking better. We'll know for sure in about 5 years.
I hope he doesn't.

People like Elon can carry the flag of what many of us have been warning about when we point out that our systems often have single points of failures: often one man with, for example, the ability to literally end the world, and no actual safeguards to prevent it. Or, one man with billions of dollars of assets at his disposal, money which could be making people's lives better but is instead being used by that man to do things like buy his favorite website and ruin it. Or, the fact that that website is one of three or four which represent the backbone of our species' communicative ability, and that man can control which of our species' communications are seen.

Whether it's a good or bad person at the helm, this is not how our systems should be designed or function. The more horrible the person, the more obvious this is.
Talking of shell, the preference for left-to-right is often used to justify "useless use of cat", i.e. `cat file | command` instead of `command <file`, but it can just be written `<file command` instead.
Same. Even for technologies that it supposedly should know a lot about (e.g. Kafka), if I prompt it for something slightly non-standard, it just makes up things that aren't supported or is otherwise unhelpful.

The one time I've found ChatGPT to be genuinely useful is when I asked it to explain a bash script to me, seeing as bash is notoriously inscrutable. Still, it did get a detail wrong somehow.
ESP32 modules (read: not just the packaged ICs) are pre-certified in most markets. This is the main advantage of shelling out for these more expensive modules instead of just integrating it all yourself. It's also why many of the IOT products which use ESP32s use modules and waste a lot of area rather than the much smaller ICs: certification is a nightmare for small scale products!
I could be wrong, but i thought i saw shorts on newpipe the other day.
Requirements vary. It certainly can't produce really complex visual designs, or code a designer would be very happy with, but I have a hobby project work in progress where gpt4 has produced all of the CSS and templates. I have no doubt that the only reason that worked well is that it's a simple design of a type there is about a billion of in its training set and that it'd fall apart quickly if I started deviating much from that. But if t produced both clean CSS and something nicer looking than I suspect I would have myself.

A designer would probably still beat it - this doesn't compete with someone well paid to work on heavily custom designs. But at this point it does compete with places like Fiverr for me for things I can't or don't want to do myself. It'll take several iterations for it to eat it's way up the value chain, but it probably will.

But also, I suspect a lot of the lower end of the value chain, or at least part of them, will pull themselves up and start to compete with the lower end of the middle by figuring out how to use LLMs to take on bigger, more complex projects.
India Is #1 in EV Two Wheelers. Tarun Mehta Explains Why [video]
Nice. Well said. :-)
> What are you talking about? I remember everyone who was at my wedding.

So? I didn't assert that you wouldn't remember, I asserted that in a large party the host cannot meaningfully engage with everyone.
To be fair, even if the payment is IAP, the publisher can still attempt double dipping, by first unpublishing the original app (which to be fair, while user-hostile, has the benefit that they don't have to bother supporting different/new hardware)

See this 8y old thread about what EA does on Android: https://old.reddit.com/r/OutOfTheLoop/comments/3mikbc/whats_...
Plot twist: he actually is the bad guy in the end
Ive never understood why TikTok is allowed to run their app in the West whilst China blocks all foreign apps within its own borders.
How is this not a simple trade issue?
Exactly, it’s just western jingoism to justify more war.
Oh interesting, from what I understand then, this is great for small context size models, compared to RAG? Is there research into how to make this more effective for large context size models (since context size of major models seems to be 4xing every 6 months at this point)?
If they get it working the USA might beat China to putting a woman on the Moon.
> This was not my experience at all, for what it's worth.

You had a large number of guests and meaningfully engaged with all of them?
> Target take note

Considering how well Target ignores crime, it’s pretty obvious they have more higher level concerns…
Windows 11 is horribl.e My exit plan is to move to windows 10 LTSC. I have some MSDN keys. I'll worry about that one day in the future though. I just exited the Apple ecosystem so I'm still getting my stuff together.

I also don't have the nerves for Linux. I want the computer to be a thing to solve problems not a thing to cause problems to solve :)
Great straw man, no one said ev's need no maintenance.. just that regular maintainance is a lot, lot less then on ice car and that car dealerships are suffering under that.

Having the option to do a, what amounts to an underside car cleaning is not really a counter argument to that point
Have you tried using the ChatGPT-AutoExpert custom instructions yet? [1]

[1] https://github.com/spdustin/ChatGPT-AutoExpert/blob/main/dev...
Isn't this a slight over-generalization from web dev? If you learned programming in the pre-web era then you weren't able to learn how programs work by studying the shipped artifacts, but the craft wasn't waning, far from it.

I learned HTML in the mid nineties and even then I don't honestly recall learning very much from View Source. HTML has never been particularly easy to read even when written by the rare breed who are fanatical about "semantic" markup (in quotes because even so-called semantic markup doesn't communicate much in the way of useful semantics). HTML lacks extremely basic abstraction features needed to make code readable, like (up until very recently) any kind of templating or components system, so even if you were trying to learn from Yahoo! in 1996 you'd be faced with endless pages of Perl-generated HTML boilerplate. So I think most of us learned the old fashioned way, from books, tutorials and copious amounts of fiddling.
Barry Manilow says secret relationship 'saved my life' during his rise to fame
But tiktok does have an "agenda" of sorts.

From what I've read, if you open tiktok app outside of China, most videos will be about ordinary folks celebrating a very liberal or open way of life, being an anarchist, anti-authoritarian or even a dissident is celebrated.

But if you open tiktok from within China, most videos will be about Chinese patriotism and how that way of life is the best. In this case, anarchism or anti-authoritarian videos are NOT celebrated, they will be likely removed or banned from there.
I mean most people in most jobs are average, or below. Programmers aren't immune: most of them are bad at their jobs on aggregate. Of course they can be replaced by LLM output: their output is already half broken too. I'm only slightly exaggerating for effect, but it's been 17 years for me in this industry and I've seen that over and over again.
I'm probably biased, but I also think the Russian translation was very well done for most of the books. I read many of Pratchett's works in Russian before English, and I found that the translations were rather faithful in keeping with Pratchett's humour.