skysight-inc/HackerNews huggingface dataset:
Last time I visited a Chinese factory (which was before covid) it was heavily automated without much staff. They also did have a few foreign laborers who didn't speak the local language, ironically.

I visited a US factory more recently,o and it was all about A.I., automation, and engineers (who maintained and operated the robots). Availability of cheap unskilled labor was not a relevant factor in the business.
That's a long-winded way to say, "no, I've never tried it". If one has never tried a pursuit, I can understand how it might "seem dumb". What seems dumb to me, though, is doing track days for years on end, and never once trying to see how fast you could launch a bike down a drag strip, and then going on about how dumb drag racing is.
Have you never worked in an organization that survived off of outside sales and employed really, really good sales teams? Of all the departments listed, engineering included, sales would probably be the last one I would consider a commodity.
My banking app works just fine. Social security payments are very reliable and on-time. Social Security service is declining because of cuts. People are having harder times getting through and setting up appointments. But that's the plan, lie about massive fraud and make the department run poorly so they can start privatizing it.
It actually looks like the server is used regardless. It's sending the full curl command to the backend even if not executing it.
I know this would be less fun, but given that the key space was only 36^4, why not just run the actual decryption functionality in QText? Like, even if it takes 1 second to decrypt, spin up 32 cores and wait a day. They allude to the idea that checking the key derivation is faster, but I wonder by how much.

(of course, it’s still interesting to read about 90s encryption, so I appreciate that they did it the fun way)
This reminds me of a current problem facing the bio-imaging community; many microscopes, many formats.

My company specifically deals with one of the post-processing steps and we've had to build our own 'universal adapter'. Its frustrating because it feels like microscope companies are just re-inventing the wheel instead of using some common standard.

There has been an effort to standardize how these TB size datasets are distributed[1]. A different but still interesting issue.

[1] https://ngff.openmicroscopy.org/
Oh I see. When you meant "very expensive" you meant "easily accessible for the median American" and when that guy said "wealthy people" you interpreted that to be "the median American". It's true that Europeans and so on are quite poor but the company is in the US. Yep, factually most Africans can't go to Disneyland either.
> STDs spread. It's not just the one patient who benefits, is it?

You're making the case that the market would have the incentive to provide these things because the insurance company would rather pay for an expensive test than have a larger number of claims if the disease spreads.
In parts, it seems as if the IndexedDB api isn't getting enough love from the browser vendors. I also stumbled upon Firefox issues, or rather, they're on my to-investigate list. Chrome is clearly ahead, I say, as a loyal Firefox user.
FIGHT ON! ;)
"Photos of kids? Maybe that one will be The One that we end up framing? Miscellaneous business records? Maybe those will be the ones we have to dig out for a tax audit? Web pages on government sites? Maybe there will suddenly be an interest in obscure pages on public health policy if a global pandemic happens."

Perhaps I am missing something, but these examples all sound like candidates for _offline_ storage, for which no third party custodian or data center is required.

The price of large capacity NVMe SSDs continues to fall.

The amount of energy, the resource requirements, not to mention the environmental and community impact, of running a car insurance company are miniscule in comparison to that of running a data center.
If you're willing to torture the analogy you can find a way to describe literally anything as a system of outputs based on inputs. In the case of the brain to LLM comparison, people are inclined to do it because they're eager to anthropomorophize something that produces text they can interpret as a speaker, but it's totally incorrect to suggest that our brains are "essentially the same thing" as LLMs. The comparison is specious even on a surface level. It's like saying that birds and planes are "essentially the same thing" because flight was achieved by modeling planes after birds.
I appreciate how Liliputing's article links back to the HN submission: https://news.ycombinator.com/item?id=43512495
I think you should just take "yes" here for an answer because very obviously you can make lots of money freelancing/consulting to other companies.
Oh haha. I work on an acoustic detection project so I was quite excited about new applications.

How exactly does your machine learning model work?
You are insisting on justifying all of the complexity of browsers by claiming the same functionality that people got in the 70's with a small OS that was hand-written in assembly.

Sorry, but you don't seem to want a productive discussion. You just have a preconceived idea that turns out to be wrong.
The Dangers of AI Sovereignty
> Because code LLMs have been trained on the syntactic form of the program and not its execution

What makes you think this? It has been trained on plenty of logs and traces, discussion of the behavior of various code, REPL sessions, etc. Code LLMs are trained on all human language and wide swaths of whatever machine-generated text is available, they are not restricted to just code.
Lightroom cannot do that. I'm not sure if Iridient X-transformer have some options for this. I always ended up with massive files.

Also, I'm not confident to replace entire RAF collection with converted DNGs and delete originals.
Lufthansa does in Germany. They've cut their flights from a lot of the regional airports to Munich and Frankfurt (I think the government made them if ground transport time is lower than a certain amount), and replaced the former mostly with shuttle buses (Munich airport is not on a major rail line) and the latter with "AiRail" (Frankfurt is, and it's a high speed line) which makes regional hub train stations look like airports to the booking systems.
Yeah, at some point it’s just willy waving.
That is correct. I can add some detailed FAQ.

Thank you for the feedback.
Not many, it seems. Also, not exactly normal.
Haven't seen "1/21" as an answer yet
More precisely "pulse width" would be a time, while "duty cycle" would be a percent.

And while when going from 0% to 50% duty cycle it could be said that "a square wave with a low pulse width will sound thinner than one with a high pulse width", however, once you go past 50% duty cycle the situation reverses. So a 25% duty cycle would sound almost identical to a 75% duty cycle...the amplitudes of their Fourier transform components would be identical.
I don't see this listed here or the other associated sites, so I'll ask:

1. Does this integrate natively with `package.path` and `package.cpath`?

2. Does it detect non-standard, popular installations like through brew(1)?

3. Can you install by GitHub `:user/:repository`?

Also, neat project! Nice work.
Caution: this seems to be an ad for "quadratic", which promises "The spreadsheet with AI". I'm sure it will turn out much better than Excel, a spreadsheet without "AI".
Roblox Faces Potentially Unlimited Copyright Liability–Robinson vs. Binello
We launched a merch drop to fund our AI analytics copilot – Datatrixs
I think this is noteworthy in that it is using what is increasingly becoming the dominant API protocol for LLM.

Just because the wheel exists doesn't mean we shouldn't strive to make it better by applying new knowledge and technologies to it.
> The most hated companies [...] Johnson & Johnson, 3M

You're living in a serious bubble if you think people hate the company they most readily associate with shampoo or scotch tape.

Almost all "most hated company" rankings can be broken into two categories: the ones many consumers had direct negative experiences with (Equifax, Comcast) and the ones they were told by the media they should be upset with (Anheuser-Busch).
Good idea! I'm sure this is possible since it looks like playwright can control electron apps. https://playwright.dev/docs/api/class-electronapplication
C-suite executives are "management" only insofar as they are someone's direct supervisor and that person wants to make them happy. And if you've got brand new managers with single-digit years of experience reporting to them, sure they probably do a fair bit of people management. But that's not the norm. If you're at a sufficiently large company you'll have Presidents reporting to the C-suite, 3-5+ levels of VPs below that, 1-3 levels of directors, and a level or two of individual contributors. So you're approaching double-digit numbers of people between C suite and the people who should theoretically actually need day-to-day performance management.

There is not a competent Executive Vice President or Division President in the world that needs to be managed by their boss.
Same, a tool like this would be invaluable if OSS.

I don't know of any sadly.
Can you add a license to your code along with open sourcing the chrome extension?
Consider is too mild. Its basically justify why adding more AI isnt the solution. (#5 here https://x.com/tobi/status/1909251946235437514 )
There's a risk that someone uses such a library the wrong way. A big part of the goal of legal compliance and security at large enterprises is to protect staff from doing dumb things that could have bad consequences, and one of the easiest ways to do that is to ban things that are particularly prone to that. It's a blunt weapon, but a more targeted one requires much more work and care.
Sounds like all the interviews I do in india.
> decades of experience have disproved that

Like most advice you find on the internet, the author of this piece is writing "the way the world ought to work" rather than the way there's any evidence that the world does work.
I read the logs with my human eyes manually because I am interested in learning about the web and internet. In fact today I found a whole new useful search engine because I saw it's spider in my logs.

64.62.202.82 "GET /library/Math/Mathematical%20Methods%20for%20Physicists_%20A%20concise%20introduction_%20Tai%20L%20Chow_%202000.pdf -" "Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; Centurybot/1.0; +http://www.rightdao.com/bot.html) Chrome/131.0.0.0 Safari/537.36"

It turns out that http://www.rightdao.com/ is a great old-style search engine that actually returns many tens of pages and thousands of results. As opposed to google that only ever returns <400, bing <900, and kagi <200.

I guess I keep logs because I want to interact more directly with the internet as a whole and experience the serendipity that comes with that.
Interestingly, the macOS Dictionary app (which I believe uses some version of the OED) has this note about the word:

"Ironically, the earliest recorded sense of disinterested is for the disputed sense."
Why?..
Paperwork was surprisingly easy so far for me. Lots of interviews and performance reviews but that was always very streamlined.

On the other hand I was always blessed with amazing teams, and still am. So maybe that counts!
We don't really have a clue what they are and aren't capable of. Prior to the LLM-boom, many people – and I include myself in this – thought it'd be impossible to get to the level of capability we have now purely from statistical methods and here we are. If you have a strong theory that proves some bounds on LLM-capability, then please put it forward. In the absence of that, your sceptical attitude is just as sus as the article's.
Engineering might be a commodity if you're "building garden-variety CRUD apps"

But a lot of companies aren't - or at least, they don't think they are.
It says "Prepared with AI" in the title, but the article is about someone who blatantly lied about their past experience in the interview.

The AI was used as a tool to generate false stories, but that's not what I assumed when I read the title. It's common for people to "prepare" with LLMs by having them review resumes and suggest changes, but asking an LLM to wholesale fabricate things for you is something else entirely.

I do think this experience will become more common, though. There's an attitude out there that cheating on interviews is fair or warranted as retaliation for companies being bad at interviewing. In my experience, the people who embrace cheating (with or without LLMs) either end up flaming out of interview processes or get disappointed when they land a job and realize the company that couldn't catch their lies was also not great at running a business.
Adding more channels does nothing to the overtone information. From what I can find[1], it seems that the phase of the 25% and 75% waves are such that the two waves are actually inverse of each other. I don't know much about Gameboy hardware though. Do you actually know what the point of this is?

[1]: https://gbdev.gg8.se/wiki/articles/Gameboy_sound_hardware#Sq...
Like I said, you're making everything about money in a basic way you can easily imagine.

One thing that happens if you actually watch election results here is 1. the left candidates have more money and 2. it doesn't help.
You mean a piece of paper with no inherent enforcement mechanisms?
You are dead wrong. I have had both wireless and wired expensive gaming mice and the fact is, it makes very little difference for a whole lot of cost and trouble.
You largely underestimate people susceptibility to fashion/trend and just going with what's supposed to be better.

I also have a Magic Mouse (the V2, my V1 broke) and I have a wired Mighty mouse before.
Outside of the ball being replaced by tactile scrolling, the wired mouse was a better product.

And if you had done your research, you would know that there is very little correlation between gaming peripherals and gamer level/quality. It just doesn't matter that much and those who play a lot will have 2 wireless mouse or one of the pads to make up for the annoyance of battery management (but it has a cost and is just a waste generally).

I don't want to call you an idiot, but I have knowledge on the subject far deeper than you can imagine, so I would say you are the one out of touch.
Pretty cool, do you know of a version of this that supports the new remote MCP protocol
Improve the quality of life for everyone equally. When policies end up deteriorating the living experience of the taxpayer base and making business more difficult, people and businesses flee.
I agree with the emphasis on networking. At the risk of sounding like I am doing an advertisement, last month I gave away 5 free tickets to graduates of Fullstack Academy to come to my event, and one of those people found a part-time connection to a startup via the event. I'll do the same again, if you're in New York City, I offer 5 free tickets. Reach me at lawrence@krubner.com. Mention this Hacker News post. We will have entrepreneurs at this month's event who are hiring. Come join us. Details:

https://respectfulleadership.substack.com/p/april-28-the-inf...
> Is the llama license open source as defined by the OSD? No

No indeed, full stop. I think that If one needs to express some idea, one should use clear and exact terms for this. I don't think "open source", which is widely recognized with a specific meaning, should be twisted. The shared definition of "open source" is the one defined by the OSD.

> But for the majority of people, they don't care

Maybe they should, but even if they don't, it's not an excuse. Especially in an article about the very topic at hand.

The open source definition seems constantly attacked for some reason, and that blurs the meaning of everything in the ecosystem. We need to fight back against this.
If you care about open source, how are you supposed to spread the word if "open source" has lost its meaning?

It also matters because if one thinks that open source is the better thing to do, but everything and their dog is called open source, then everything is good and we don't need to bother with the principles anymore (not unlike the Overton window).

Now, in this case for this article, it's just an example that doesn't work, it's not something fundamentally wrong about it. I'm just pushing back on the idea that it doesn't matter if we misuse "open source" a bit which seems to spread fast these days.
Photo Frame Devices
How do you make a comma seperated CSV with numbers with commas in them?
You are saying no while presenting nothing to contradict what GP said.

Judging someone's external "involuntary cues" is not interrogating their internal state. It is, as you said, judging their response (a synonym for "answer") - and that judgment is also highly imperfect.

(It's worth noting that focusing so much on the someone's body language and tone that you ignore the actual words they said is a communication issue associated with not being on the spectrum, or being too allistic)
I would not make any default determination until and unless there was a proactive user action. If there is any value that doesn't round trip through string serialization, don't allow it to be coerced without the user deciding to allow it, explicitly.
I don't know how this is something related to AI - you could polish and embellish your resume before LLMs too, I'm fairly sure. I guess this gets the clicks.

Not being to remember small details about certain projects is also perfectly fine for people who have worked for more than a couple of years. Unless you can discover a pattern of lying like the author supposedly did then I would just be perfectly fine moving on to another topic.
When I look at a drag stripe, I see a gray, dirty rectangle of asphalt that generates huge amounts of noise and air pollution. Beyond the environmental destruction, it's a hobby that quickly destroys vehicle parts, engines, tires, brakes, etc. All of that destruction, for what? 5 seconds of extreme acceleration? To go one hundredth of a second faster this time?
Functionally 0% of companies are working on things as important or impactful as the atom bomb, and I include FAANG et al in that. Maybe a small handful of AI companies will actually put out something that important? But even most of them won't.

The vast majority of companies are putting web forms over a database. Letting one or two people hold all the technical knowledge for something like that is borderline fiduciary negligence.
And still not as dangerous as adding sugar to everything
Problem is that no-one knows when that's going to happen and it can bounce back as fast as it went down, meaning in that situation you would be missing the opportunity too. The investor strategy as per Bogle is simple: buy regularly, regardless the market and hold it forever (until you retire). I don't want to speculate, because that is known to be a losers game. I read some time ago "The Little Book of Common Sense Investing" and to me that seems to be good enough advice to stick with. It's simple and as for what I read from other sources it works.

> Remember, the trick is to buy low and sell high, not buy high and hope it will somehow get higher.

If you take a look at the historical S&P500 (1926-2016) trend even taking into account market crashes the curve always goes up in the long term. That's why Bogle's strategy works.
A very well-written piece. The section on funding open source is as relevant as it's ever been, and I don't think we've learnt much since last year.

As the proportion of younger engineers contributing to open-source decreases (a reasonable choice, given the state of the economy), I see only two future possibilities:

1. Big corporations take ownership of key open-source libraries in an effort to continue their development.

2. Said key open-source libraries die, and corporations develop proprietary replacements for their own use. The open source scene remains alive, but with a much smaller influence.
Would love to see the pareto trade-off curve of "wins" vs "betrayals". Anybody drawn this up?
election -> Electron
Lmao 'wealthy people bad' was definitely the substance of the critique, thank you for your valuable insight.
> Another thing that I can take away from that is "take home project" is no longer a good idea in AI times

Take-home projects were never meant to be evaluated in isolation.

It was common for candidates to have their friends review the take-home or even do it for them.

You had to structure the take-home so the candidate could then explain their choices to you and walk you through their thought process. When you got a candidate who couldn't answer questions about their own submission, you thanked them for their time and sent the rejection later that evening.
Traditional gender roles and stereotypes are part of the reason why some males end up desiring to be women, because they've confused female with feminine. There's nothing wrong with men wearing dresses or indeed any feminine clothing. But thinking this somehow transitions them into being women is ludicrous and sexist.

Ideally we'd be rid of these stereotypes. They're part of the problem.

> Yours, worried and authoritarian, focused on an imaginary moral panic propagated by reactionary Internet forums.

The authoritarian side is the one insisting that males who call themselves women actually are women, and punishing those who disagree. In some states it is actually illegal to have a female-only space. It has to be female plus any male who says he's a woman.

That's not liberty is it, certainly not for women who want or need spaces without any males present.

There are so many cases where this type of policy has demonstrably harmed women. At the most extreme end is males being incarcerated in women's prisons on this basis, who have then raped, sexually assaulted and even impregnated the women locked up with them.

This is the consequence of these "luxury beliefs" capturing institutions of the state.
IMO take home projects still have value, provided you do a comprehensive follow-up interview with their project (which is the _actual_ interview, I feel). Those who just used AI on it are far less likely to talk about any tradeoffs, do deep dives, or even simple extensions of the project in the follow-up interview.
The Machinery of Life by David Goodsell. It's a short book with beautiful diagrams and explanations of microbiology.

The Selfish Gene by Richard Dawkins. Its thesis is that everything is built up of smaller things that are all trying to replicate or get replicated.

Philosophical Investigations by Ludwig Wittgenstein. I haven't read the book, but reading about the book's argument that language is a type of multiplayer game, along with the aforementioned ideas about things being built out of smaller things that are trying to replicate changed how seriously I take ideas in general. I'm not looking for a universal truth anymore, I'm watching different collections of ideas compete with each other based on how well they replicate and how well they compete once they've entered a brain.
Thanks for lifting me above the Dunning-Kruger threshold so that I understand there is more to archaeological genetics then I previously conceived of.