skysight-inc/HackerNews huggingface dataset:
I think so too. It surprised me how people could do things like this and not be sued under the CRA.
That's pretty good because it can exhaust the context window quickly and then it starts spiraling out of control, which would require the candidate to act.
> “Leftists”, however defined, certainly did

This is utterly bonkers on so many levels.

Don't you see how the turn of phrase "Leftists, however defined" is exactly the kind of storytelling that confabulates the phantom internal enemy that Fascism relies on to justify its advances?

I can only imagine what circus of demons you're imagining fit into this group of "Leftists, however defined."
And today...

https://archive.is/URjfk

NYT editorial touting a book declaiming the corruption in Alzheimer's research
Remind me of your point, if you would:

> I think this is a massive over-correction (banning words is dumb) but they're not completely wrong.

Is it that "they're not completely wrong" to ban terms referring to events significantly more common than the occurrence of gold in the earths crust?

To quote another:

> it can't be that because that is an obviously stupid point. So what was your point?

----

For general interest:

* frequency of "true" (undecidable) intersex (1 in 5,500 births): https://www.tandfonline.com/doi/abs/10.1080/0022449020955213...

* Mean global crustal ppm of gold: 0.004 (four thousandth of one in a million) : https://en.wikipedia.org/wiki/Abundance_of_elements_in_Earth...

* Report on Gold deposits in a high yeild region: Gold Deposits of the Pilbara Craton https://www.ga.gov.au/pdf/RR0065.pdf (74 page AGSO report, 'rich' veins have 0.4 ppm gold)
> So what's the harm?

Bezos is looking at the tariff increases and wondering what the fuck he just bought. Welcome to the party, pal. There are no free returns on this one.
Does this guy know who his customers are?

Low salaried and hourly workers he’s desperately trying to get rid of.
fyi, that's because (from experience) the last job req I publicly posted generated almost 450 responses, and (quite generously) over a third were simply not relevant. It was for a full-stack rails eng. Here, I'm not even including people whose experience was django or even React; I mean people with no web experience at all, or were not in the time zone requested. Another 20% or so were nowhere near the experience level (senior) requested either.

The price of people bulk applying with no thought is I have to bulk filter.
> No such scenario looms in the U.S.

(2022)
Are they displaying reasoning, or the outcome of reasoning, leading you to a false conclusion?

Personally, I see ChatGPT say "water doesn't freeze at 27 degrees F" and think "how can it possibly do advanced reasoning when it can't do basic reasoning?"
That's a good starting point. I'm interested in hearing more about real-world applications and challenges in RL for LLMs. Any insights or experiences on that?
For every caching algorithm you can design an adversarial workload that will perform poorly with the cache. Your choice of caching algorithm/strategy needs to match your predicted workload. As you're alluding there's also the question of which resource are you trying to optimize for, if you're trying to minimize processing time that might be a little different than optimizing for bandwidth.
So some rough numbers from trivial googling[1]:

At "low pressures" (5-30x normal sea level atmospheric pressures) H2 needs roughly 2.5meters cubed to store 1kg of H2.

Apparently it's "normally" stored at 350 to 700 bar (700x sea level air pressure). Compressing it that much requires a bunch of specialized equipment and a lot of energy.

It needs to be stored in complex pressure vessels at -160C or below[2]. I'd hate to have this stuff in big pipelines in a giant network, when utilities still can't quite do normal pressure natural gas correctly[3].

It leaks through just about everything, and lots of "normal" things that it leaks through it also destroys it while leaking through it[4].

A hydrogen economy would require trillions of dollars of infrastructure to work. A methane economy can just work -- it's basically what's already in use to move natural gas around.

So -- I can't point to an existing technology that'd be 100% ideal for a zero net pollution (overall, not just at the point of use) for a mega truck or similar big utility vehicle running a strip mining operation. But H2 really seems like a non-starter once you look at the details. I think maybe better batteries, hot-swapped batteries, hybrid methane generators plus batteries, etc, is a start, and it can be done today. I personally would take a 60% improvement now over a maybe 90% improvement later but probably never.

There's lots of carbon floating around; you can collect it from industrial processes (cement / steel making). You can pull it out of the air or water if you really do have enormous amounts of "spare" energy, which realistically, you probably don't.

[1]http://www.awoe.net/Hydrogen-Compression-General.html

[2]https://www.sciencedirect.com/topics/engineering/cryo-compre...

[3]https://en.wikipedia.org/wiki/Merrimack_Valley_gas_explosion...

[4]https://en.wikipedia.org/wiki/Hydrogen_embrittlement

[edited to add reference to gas explosions and formatting]
You can do this without virtualization/emulation, pass ‘-arch x86_64’ or ‘-arch arm64’ to clang. Or both, for a universal binary. And on Apple Silicon, you can test them both thanks to Rosetta.
I complained on that one about how repeating tests like this usually results in better answers over time so the fact the author saw the same results may mean no negative effects, or just very slow decline. Which tells us something interesting but doesn’t mean it’s necessarily harmless.

You have to be careful and spread your tests over a bunch of subjects to find the patterns.
Not all of Anki's source code is GPL. The FSRS implementation used within Anki is BSD, for example.
Most things in life are unnecessary.

If we start deciding what is necessary or unnecessary for others, then we all would lose.

Disclosure: I very strongly dislike dog ownership.
Google buys transaction data from credit card companies (Visa, Mastercard, etc). They almost certainly know what you spend money on
I don't think there is a hope when it comes to our privacy and ads and our data being sold - none. Even if I'm somewhat off the grid or low in activities, the indirect way of targeting me still exists, by my family members, friends, people associated with me. I surrender.
> Also some fireworks work great

I’m sorry, but the idea of carrying fireworks and a lighter with you, and thinking you will have time to retrieve them and successfully light the fireworks to fend off an aggressive dog is ridiculous.
Wow so this is the "if you want a good answer from the internet post a wrong answer first" but escalated by a ton!!

That's incredible!
I’m pretty sure there’s no way to pass USB devices through to a guest VM when using Virtualization.framework (which is required for running macOS VMs)
That makes a huge difference to the desirability of taking the deal I'd imagine.
What forums are you on where you’re reading pure hate for Canadians?
hey David :D
Corruption is corruption. Trump fought every attack against him like a champ. Biden pardoned his whole family to avoid a fight he knew he would lose due to the facts. He can't hide the money trail. He mishandled classified documents as well but he was deemed unfit for prosecution, yet he remained in office quite a while after that.

If Trump can be found to be corrupt for real, then let's see. But everything brought against him up to now, from the Clinton-sponsored Russiagate hoax, the insurrection hoax, the cat lady rape hoax, the stealing nuclear documents hoax, and everything else, has been COMPLETE and OBVIOUS bullshit. It pains me to say that it was obvious because I too was fooled by the media on some of these things at one time.
Top Tech Jobs
Nixified AI: Making open-source AI reproducible and easy to run
I only go to youtube when I want to learn something that is hard to explain with pictures. Usually that is diy stuff for me, but I can see it being something like a dance move or a boss fight in a game, those things take longer than a minute to explain but never take more than 15 unless it is padded.
I'm in the UK and have been applying for dev jobs over the last six months. I've had at least five approaches from recruiters representing gambling companies. They seem to have a lot of money to spend on salaries, and promise experience of languages like Go, and also ML, data science, etc.

I always give them the same answer: no. I don't work for parasites.

I remember the time before the Blair government unwisely deregulated gambling, and I hope we can one day return to that.
Sad Debian noises.

Most of the time, `sudo apt install dotnet9` (or whichever metapackage version you need) just works. And then you open up a VS Code or a Rider it's ready to go, but yeah.
It seems to me that Zig is a language that has been hacked together as opposed to designed carefully. What a mess around such a simple concept!
It's nice to live in a world where actions have consequences. When the media coverage got too much, Marc Tessier-Lavigne finally had to resign as president of Stanford, so he could focus on his job as a Stanford professor.
That might be good for newbie developers but for the rest of us it'll end up being the Clippy of AI assistants. If I want to know more about an API I'm using, I'll Google (or ask ChatGPT) for details; I don't need an assistant trying to be helpful and either treating me like a child, or giving me info that maybe right but which I don't need at the moment.

The only way I can see that working is if it spends hundreds of hours watching you to understand what you know and don't know, and even then it'll be a bit of a crap shoot.
Unless he can predict exactly when it's going to happen and why, it's useless information.

I can say there will be future black swan events worse than last week and I'd be completely right. But it's useless.
Thinkpad T480s - yes all of those work. As for choosing a distro: Fedora with Gnome worked 100% out of the box. I’ve even been able to play a bunch of games on steam without issue too.
I mean whatever IP space is registered as the legitimate sender of email from the domain of the victim's email address. Theoretically, it could be "anywhere in the US", but that's not the way I'd bet.
But flags almost sometimes map roughly to languages within my limited experience! For example there's only one kind of English and it belongs to the USA. Also Spanish, that must be USA too, even if some unimportant countries speak it. Brazil can have Portuguese because I don't know where Angola is. The Indian flag can represent Hindi, but also the 22 scheduled languages, but not the other official language because I already allocated it.

This is going pretty well, but seems tedious, so for all other cases let's just merge ISO 3166-1 alpha-2 and ISO 639-1 as follows:

SELECT
c.code AS common_code,
c.country_name,
l.language_name
FROM iso_3166 c
INNER JOIN iso_639 l
ON c.code = l.code;

And if they don't speak Afrikaans in Afghanistan or Arabic in Argentina then you'll have to take it up with the International Organization for Standardization.
Your perception of the reality is spot on. For this round I was hiring for entry level technical support and we had limited time to properly vet candidates.

Unfortunately what we end up doing is have to make some assumptions. If something seems remotely fishy, like that “Memory updated” or typeface change (ChatGPT doesn’t follow your text formatting when pasting into your email compose window), it raises a lot of eyebrows and very quickly leads to a rejection. There’s other cases where your written English is flawless but your phone interview indicates you don’t understand the English language compared to when we correspond over email/Indeed/etc.

Mind you, this is all before we even get to the technical knowledge part of any interview.

On a related hire, I am also in the unfortunate position where we may have to let a new CS grad go because it seemed like every code change and task we gave him was fully copy/pasted through ChatGPT. When presented with a simple code performance and optimization bug, he was completely lost on general debugging practices which led our team to question his previous work while onboarding. Using AI isn’t against company policy (see: small team with limited resources), but personally I see over reliance on ChatGPT as much, much worse than blindly following Stack Overflow.
Is driving unnecessary for people?
There's no question about who the players involved are.

https://developers.google.com/authorized-buyers/rtb/openrtb-...
Python is less than 5 years younger than Perl. JS is less than 10 years younger. Your examples are both three decades old.

More importantly: why does reading about someone using Perl cause you to “balk”? That’s the issue my comment was lamenting, this attitude that everyone should be using something “acceptable”.

Before Perl, it was mostly unacceptable to use a dynamic language in a business. That sea change alone is revolutionary enough that you’d think there would be some room for a little respect or even curiosity, if nothing else.

But that’s not the case and I think that this kind of ahistorical close mindedness (not specific to Perl, to be clear) is a newer feature of programmer culture. And I think it’s worth lamenting its pervasiveness.
Whatever the underlying "real" pattern is, doesn't really matter. We don't need to represent it. People learn to understand it implicitly, without ever seeing some formal definition spelled out - and learn it well enough that if you take M works to classify as "creative" or "not", then pick N people at random and ask each of them to classify each of the works, you can expect high degree of agreement.

LLMs aren't leaning what "creativity" is from first principles. They're learning it indirectly, by being trained to reply like a person would, literally, in the fully general meaning of that phrase. The better they get at that in general, the better they get at the (strict) subtask of "judging whether a work is creative the same way a human would" - and also "producing creative output like a human would".

Will that be enough to fully nail down what creativity is formally? Maybe, maybe not. On the one hand, LLMs don't "know" any more than we do, because whatever the pattern they learn, it's as implicit in their weights as it is for us. On the other hand, we can observe the models as they learn and infer, and poke at their weights, and do all kinds of other things that we can't do to ourselves, in order to find and understand how the "deeper superstructure behind these problems" gets translated into abstract structures within the model. This stands a chance to teach us a lot about both "these problems" and ourselves.

EDIT:

One could say there's no a priori reason why those ML models should have any structural similarity to how human brains work. But I'd say there is a reason - we're training them on inputs highly correlated with our own thoughts, and continuously optimizing them not just to mimic people, but to be bug for bug compatible with them. In the limit, the result of this pressure has to be equivalent to our own minds, even if not structurally equivalent. Of course the open question is, how far can we continue this process :).
Anna Ouyang Moench is involved, and she wrote the best play my friends and I ever saw (Birds of North America), so that gives me hope.
Safari blocks a lot of these trackers. For more information, please see https://support.apple.com/guide/iphone/browse-the-web-privat... .

Also, you missed the point of my comment. The comment I replied to basically was saying Apple and Google are equivalent because Apple sells ads (they sell search listings in the App store search and may run an optional advertising service for apps). My point was they are not equivalent because Apple does not track people around the web like Google does. The other things is Apple has released a lot of privacy features which interfere with the advertising spying machine.

At best, Google pretends to improve privacy. Google's business is basically building a profile on each individual so they can serve the most relevant ads to that person. They make more money when they serve relevant ads (ads people will see, and maybe buy something based on the ad). Google has no interest or incentive to protect privacy because their business depends on invading privacy.
>>> Job-role compression makes humans more valuable: for example coding with LLMs frees you to think higher-level.

When will this begin to happen, and how will it manifest itself? I haven't seen any coders thinking at a higher level yet. Or myself for that matter.
U.S. de minimis exception ends on Tuesday 4 February 2025 for all Chinese imports. New limit of 0$ for all goods.

What will be the total tariff percentage on custom PCBs from China?
Im also curious about this. Is it just a website you place an order or do you have to go through some kind of agent?
Shouldn't a portfolio of personal projects be enough ? In the past couple years I:

- adapted Java's Regex engine to work on streams of characters

- wrote a basic parametric geometry engine

- wrote a debugger for an async framework

- did innovative work with respect to whole-codebase transformation using macros

Among other things.

As for ChatGPT in the context of an interview, I'd only use it if I were asked to do changes on a codebase I don't know in limited time.
The polyfill mentioned and linked in the article has a cleverer solution. It attempts to render the same flag emoji in two different text colors and checks if they end up being the same color or not (same color = probably a color glyph, ie an emoji).

https://github.com/talkjs/country-flag-emoji-polyfill/blob/5...
Do you think there are different ethical concerns when dealing with non Americans?
So you allow yourself to use AI in order to save time, but we have to put up with the shit[1] companies make up? That's good, it's for the best if I don't work for a company that thinks so lowly of its potential candidates.

[1]: Including but not limited to: having to manually fill a web form because the system couldn't correctly parse a CV; take-home coding challenges; studying for LeetCode interviews; sending a perfectly worded, boot-licking cover letter.
Thanks for your work. My issues were exclusively stuff like this page here: https://open-spaced-repetition.github.io/ts-fsrs/interfaces/...

It is great to have the docs well organized like this, what is missing is just a short explanation of what all those mean. The information is available, e.g. in the README or in the source code. So honestly it is just a minor annoyance, rather than a major issue. I was able to use ts-fsrs just fine actually.
Objective-See has great apps
Why does the EU have to regulate literally everything?
To add to this, lots of senior people in the consultanting world are brought in under escalations. They often have to hide the fact they are an external resource.

Also if you have a novel or disclosure sensitive passion project, GitHub may be avoided even as a very conservative bright line.

As stated above I think it can be good to find common points to enhance the interview process, but make sure to not use it as a filter.
Again, can you point out to even a single giveaway for that album?

I'm honestly convinced you plain didn't realize the entire Imgur album was AI generated and that's why you haven't been able to address it.
The industry (all industries really) might want to reconsider online applications, or at least privilege in-person resume drop-offs because the escalating ai application/evaluation war that's happening doesn't seem to be helping anyone.
https://archive.ph/2cseZ
I can't tell whether your post is a joke. Yes, Tessier-Lavigne was forced to resign. But Stanford let him stay on as a professor. That was terrible: they should have kicked him out of the university.
Not sure why you're downvoted. It's explicitly a part of American law. It wasn't an accident. It might not be in the US's best interest now (not saying one way or the other) but it's definitely by design! And not in a bad way either; this lowers costs for US consumers.
This was the basis of how FuriLabs managed to get such good Android app integration. Obviously they’ve forked it [0] and heavily modified it, but the user experience they’ve created with this to allow Android apps on a Linux phone has been great.

[0] https://github.com/FuriLabs/waydroid
I'm sure they do have a way of dealing with it in Bing Maps - I assume they can display borders differently depending on the country of origin (I think that's the common approach), but that has zero technological overlap with the presence or absence of Unicode flag codepoints in a system-level font.
Were making it cheaper to import product from across the globe than to manufacture and ship across town.

Its in most countries interest to build things locally if they can. A policy which penalizes a local business in favor of a foreign one is pathological.
If anything, coming across as “a little odd” can be a sign I’m actually talking to a human.
If you don’t care about the specific domain, you can just look at the upload bandwidth usage statistic.
I simply can't believe there isn't some incentive for longer videos. It may be that YouTube only cares about total watch time and doesn't care if a creator pushes lots of short ones or a few long ones, as long as viewers keep viewing. I see so many videos like this:

Tie Shoes Like a Pro
"If you're watching this video you probably want to know the secrets to good shoe tying. We'll show you how in this video. It's surprisingly easy, so don't go anywhere. But first, have you ever wondered why we tie our shoes? The first shoes weren't actually tied but were just soles that people nailed to their feet. <Cue hammer sound effect and scream> Haha, actually this didn't hurt at all because... <10 minutes pass> ...and then in 1890 Eritrea was founded, but you don't care about that! Haha! You're here to learn how to tie shoes! Don't worry, we'll get to that too! Anyway, also in 1890 all the leather factories in France burned down and so they couldn't spare leather for shoe buckles, so they began using bits of string..."
Fireworks and lighters are legal in my country, pepper sprays (most humane) are not.

Firecrackers are the most effective way to disperse large pack of dogs. I carry it on hikes.

Lighter is also quite good weapon. Not the BIC type, more like a small blowtorch for melting copper and other metals.
You should try watching the video instead of complaining about it's length. It turns out that it actually takes a bit of time to cover the history of Russia and Germany sufficiently well to explain the situation. Yes, those turn out to be relevant to answering the question.
Why is it a negative that the candidate can solve the challenge without using an LLM? I don’t really understand this.

Also, what is a good answer for not using one? Will you provide access to one during the course of the interview? Or I am just expected to be paying for one?
Google provides one that runs in Docker
They used to pay by the view, now they pay by the minute. I think it's that simple.
They literally pay the tax but yes often the incidence ends up on the consumers.
Swift Package Manager exists

Cocoapods has been end of life’d