skysight-inc/HackerNews huggingface dataset:
What was better than slashdot? HN.

What was better than Digg? Reddit.

What is better than Reddit?

------------------------

Believe me, I really wish you had an answer, but I don't think you do.
Cartoonist Al Jaffee Found His Inner Jewish Superhero
Anyone guilty of wage theft getting hit by that law?

Just saying, in practice its clearly not about jailing menaces to society.
Even molten iron is sometimes shipped around, though obviously that won't keep liquid for quite as long. Most commonly this only happens as internal works traffic, but sometimes rationalisation and works closures might leave producers and consumers somewhat separated, in which case that kind of traffic might traverse the public railway network, too.

E.g. since the closure of the Völklingen Ironworks (now a World Heritage Site), the neighbouring steelworks have been supplied form the remaining ironworks at Dillingen, approximatively 20 kilometres away. The liquid iron is carried via the regular railway line connecting the two towns.
While cool, this has coincided with Substack not paying the twitter API fee and you can no longer embed tweets on new articles (at least for now)
I'm sure you're right, but the reason I know about them is that I do know a guy who used one, and got a "better" prison. No names, for obvious reasons.
In the case of mandatory vaccinations, the victims are few whereas the requirement is placed on many.

In the case of acute mental illness, the victims are many whereas the requirement is placed on few.

The situations are not comparable.

I think a more reasonable analogue would be that I am making the case for mandatory isolation for sick individuals.
> You do realize that BEVs predate internal combustion cars? You could've said the same thing about all EVs just a few years ago.

Toyota and others have tried and failed for decades, yes. The order of events is irrelevant to the discussion.

BEV sales managed to reach profitability at scale in less than a decade.

BEVs also have benefit of sharing technologies with many other devices, in a way fuel cell does not - its not surprising to me at all BEV is winning, and by a huge margin.

Supplying and pumping compressed hydrogen at temperatures well below freezing (the typical solution) at the pump is also not all that simple compared to an EV plug or even good ole' gas, and the range offered by the compressed tank is not all that amazing either.

Fuel cell tech will find uses I'm sure, but its not going to be affordable personal transport.
Hiring manager here with open REQs. I've been doing multiple phone screens daily, and it's been brutal on my end, too.

I structure the hour-long phone screen to be 1/3 coding, 1/3 behavioural questions, and 1/3 career growth and questions for me.

We rarely get out of the coding question block. It's a fairly simple question that ChatGPT solves easily. The tightest solution is about 10 lines of code. It can be answered either with iterative, recursive, or functional code. There is a general case, an empty case, and an exceptional case. It's the type of code I was able to write after completing CMPT 101. I had to change the question since it was so easily solvable by ChatGPT.

Engineers with years of experience at FAANG and similar companies cannot solve this straightforward problem. It's like, what have you been doing with your life? Did everyone do nothing during ZIRPy times and have accumulated years of rust that they now need to shake off?
With all the companies I interviewed with in the past, Google was the one where it seems no one managing the process gave a damn about the candidates. I swore off working for them just based on that.
Ah jeez. I have 9 tabs open on JetPens now. 30 minutes ago I was reading the linked article and now I'm comparing pocket planner dimensions and researching the practicality of retractable fountain pens. I've been thoroughly nerd-sniped.
Dan Worrall made a fantastic video which touches on Nyquist. His youtube channel is a tremendous resource: https://www.youtube.com/watch?v=-jCwIsT0X8M
On the other hand, it shows they still have some level of influence that people think there was as mass exodus.
I was recruited proactively just through linked in. Try banks. They still try to digitalize afterCOVID not fun but pays well.
The smart move could be an open-core approach. Release the models, but have the best engineering stack to run the APIs as a service.
Love or hate the job, knowing what it is gives you insights/guesses into skillsets, education level, economic level, possibly the type of people they mingle with, etc, etc.
One of the longest lived octopus species we know of has a lifespan of about 5 years, even if they were more intelligent than humans they'd have a hard time establishing a society only being able to establish 5 years worth of knowledge per individual. Let's make longevity treatments for octopi and see if they learn enough to make/join society.
> There really isn't one and 99% of the field agrees that brains are just computers.

Again, this is blatantly false. There is no such consensus on the computability of consciousness. Where do you get that 99% from?

> That there is something supernatural that even infinite regular computation could never capture.

You are asserting the universe is equivalent to a Turing machine (digital physics hypothesis). There is no consensus on that. It's an open research topic.
>So Anthropic is the Google-supported equivalent of OpenAI? Isn't the founder going to run into the same issues as before (commercialization at OpenAI)? How does Google not use Anthropic as either something commercial or nice marketing material for its AI offerings?

I think the unstated shift that has happened in the past few years is that we've gone from researchers thinking about Fourier transforms to efficiently encode positional data into vectors to researchers thinking about how to train a model with a 100k+ token batch size on a super-computer-like cluster of GPUs.

I can totally see why people believed the math could be done in a non-profit way, I do not see how the systems engineering could be.
On macOS, you can use Quicktime which lets you also select a geometric region within the screen. Then, you can edit, crop and so forth in iMovie. Finally, you can use ffmpeg to convert to gif.

The following command works well:

ffmpeg -i in.mp4 -vf "fps=10" -loop 0 out.gif

To be clear, the loop 0 will make the gif infinitely loop. By setting a number n, it will set the gif to loop n times.
Like almost all machine learning stuff, I expect these things to only be useful in places where it doesn't really matter if the results are correct. When you apply a classifier in real life its critically important to understand its statistical characteristics which is typically done via model characterization, which involves cross validation or boot strapping or whatever. I think the idea that you can just zero-shot or few-shot deploy these things as classifiers and forget about it is incredibly naive unless (as I said earlier) the results just don't really matter.

I've already used LLMs in my work as a data scientist but it requires a ton of work to just make the results tractable (and I have been using GPT4, which behaves pretty well). These smaller language models ain't so regular. Ok, like consider a basic thing you want to do with a classifier: understand its behavior on a held out data set. Since no one knows what is really in the training data (since its so large), its quite hard to understand what the model can generalize about and what it has just accidentally memorized. CF reports that GPT4 doesn't perform nearly as well on even simple programming exercises that are chosen in such a way as to be sure they weren't in the training data.

There is enormous potential for statistical fuck ups here. Prompt engineering, for instance, is an easy place for over-fitting to happen as a prompt is fine tuned on data the prompt engineer has and thus fails to generalize to new data.

I do think there is a lot of value here, but I'm also sure that sloppy use of large language models is going to cause a bunch of trouble in the short to medium term, generate a lot of garbage, pollute a lot of databases, etc, while we figure all this stuff out.
These were US-based startups, to be clear. I would be surprised if very many larger companies did it this way since they generally have a formal process for this.
In reality architects work way too much to attend parties, and make too little money to attract beautiful people.
I don't understand, up top you said it's just the "capability". So if it isn't even that, what's left?

Don't they already have a new, more powerful HW design for 2023 that is incompatible with the fittings for the old one?
Now that I've actually clicked it, I really want to know why this is in the top of HN. Like others have said, this is a generic, synthesized-voice video produced about something simple and not very innovative that looks like a dog toy that has been battered over years by a playful dog. Why is this on the front page?
> processed by caches or proxies

To be fair, if we wanted to increment the value based on the emissions of every node handling the payload, it should live outside of HTTP so as to also be incremented at layers that can't decrypt TLS. But on the other hand, do those outer layers (IP packets?) even offer the ability to have custom headers that don't get discarded? Genuine question, as my protocol expertise is mostly HTTP.
Disappearing is easy.

Staying disappeared is much more difficult, particularly if you are interested in living even a moderately normal life.
The same thing happened back in the processor arms race days and before that in the IC days. Ex-Fairchild engineers created a lot of the most durable IC and chip companies out there. Intel's founders were ex-Fairchild.
Often the bad designs come from the designers themselves. Just as software developers often fall prey to "NIH", many designers feel the established design systems like Material are insufficient for some reason. That is OK, if you know the rules you can break them, but often they don't know the rules either (grid system, typography, color for accessibility) and want to make "their own mark" with some new creation that is highly idiosyncratic. This doesn't help much, but as in software, it seems to come down to "taste" which is nebulous.

In the landing page for this book, there is an example of good (right) / bad(left) design. I have seen designers simply not know what to do with empty space, so they had to fill it with dividers, outlines, and doodads like the left design.

I'd like to hear any strategy one has to deal with that. I have taken up Figma and Sketch so I can meet them "where they are" but still, plenty of disagreements can happen.
For a more balanced take, “Why I chose a gun” https://www.ted.com/talks/peter_van_uhm_why_i_chose_a_gun
California to lend 20% down payments with 0% interest for homebuyers
I think that the taking away of personal freedom is "democratic" in the sense that it is painful for rich and poor. Not so for financial penalties.

Consider a "fake it till you make it" company that produces medical equipment. During the the "fake it" phase some people suffered life changing damage directly related to the company's equipment. The damaged is quantified and the company pays up without breaking a (financial) sweat.
> Assembling top talent is something a lot of people could do

Absolutely not. First you need the ability to recognize top talent. That's already super hard. Then you have to convince them to come work for you. Top talent is not always just motivated by money alone, so how do you attract them? Then after you hire them you have to retain them, which is also hard, because you have to understand what they are building, and inspire them.
Gif makes sense as an output format but your question may be what software to use to capture & edit the screen activity.

Even with all the other options, my favorite is still ScreenFlow. It has a lot of editing features… basically uMovie for screen recordings.
$100 for a book is steep, especially when it's a pdf.
It's a good thing, I think. "Absolute free speech" is most often championed by people who want to build society around pure logic rather than empirical evidence. The slippery slope bogeyman they gesture to is laughably dated in a time when misinformation and misdirection are so much easier.
The way OpenAI has set their models up for prompting and follow-up is where their real advantage is. It's very hard to take a model you can run locally and just go "Hey, write me a powershell script to convert all these files into this format. Split them up so they're no more than an hour each. Ok, change it to also denoise them."
It's worth noting that just because something "makes sense" doesn't mean these types of bets are going to work out. I'm reminded of Japan's similar bet on computing: https://en.wikipedia.org/wiki/Fifth_Generation_Computer_Syst...

Sure, everything they did was, on paper, the correct move. The general prediction of the direction of computing was more or less correct. It just didn't happen on the timescale they envisioned, and simpler and cheaper short-term solutions turned out to be way better. Not to mention that simpler and cheaper solutions are way more flexible and faster moving, meaning nation-scale projects are often way too slow and cumbersome to even do the thing they were supposed to do.

Huge regulatory bets on transportation technology have the same problem. It wouldn't shock me if all of this ends in disappointment and bailouts.
Thanks, it seems like Quicktime + iMovie is what I was looking for.
This feels like some kind of the opposite of the sunk costs fallacy. Like a “past gains” fallacy.

None of those good things magically disappear if Elon fails in his Twitter purchase or changes. Those past gains have already happened.

If your argument was forward looking it would make more sense to me (if he fails with this Twitter program, he won’t be able to deliver Starship which would be bad because XYZ; or it would impact his ability to continue Tesla forward because ABC). I don’t know that I agree with the forward looking argument, but it seems more sound to me than the backward looking argument.
Koakuma Chord Progression
I can only speak from the hiring side: I've been working at the same large-ish enterprise company in the Bay Area for 9 years out of college. Up until this year, it was nearly impossible to hire anybody qualified. We are now drowning in candidates from FAANG, rejecting candidates that would have passed with flying colors just last year.
Is the wikipedia page really wrong though? Highest frequency is what the mathematicians care about. EEs care about bandwidth because they're always modulating stuff and thinking in terms of carrier and baseband. Strictly speaking, what the EE grandparent suggested is using aliasing to mix the signal down to baseband.
Not OP by my machine is an M1 Mac, so ARM64 VMs are much more performant than emulated x86/x64 ones.
Well suit yourself but for me personally it makes me really question the persons ability to reason in all other aspects of life as well.

I think it's dangerous to ascribe talent and expertise to someone just because they made a shit ton of money.
That's what they said? Knowing when to invest both time and money into certain products and concepts and knowing what areas need the most investment from engineers and designers (simplicity for Jobs, speed and convenience for Tesla and AMZN [in different ways]) is how you attach your name and success to actual products making a big impact on peoples' lives. Would these products exist without the founders putting in the initial effort to build POCs and get VCs and investors onboard? Would the industry be x years behind without them?
Here in Europe I have noticed that the task of auditing software for safety/privacy compliancy is going to lawyers, chartered accountants, and business consultants.

Is it because they are cheaper? Not really, in most of Western Europe these people make the same or more than software developers.

We tech people need to be more assertive and protective of our cake.

Why does the EverybodyShouldLearnToCode™ movement even exist? I don't see lawyers, accountants and business consultants pushing for their cake to become smaller.
The successor game to Duke Nukem 3d sunk the company 3d Realms.

https://en.wikipedia.org/wiki/Duke_Nukem_Forever
> The participants were then divided into three groups: the low carbohydrate intake group (LC) consisted of those who received less than 45% of their calories from carbohydrates, the recommended carbohydrate intake group (RC) received 45% to 65%, and the high carbohydrate intake group (HC) received more than 65%.

<45% threshold for a low carb diet classification seems off-putting as a research methodology here.
I’ve used RabbitMq to do long running jobs. Jobs that take hours and hours to complete. Occasionally even 1-2 days.

It did take some configuring to get it working. Between acking appropriately and the prefetch (qos perhaps? Can’t remember, don’t have it in front of me). We were able to make it work. It was pretty straightforward it never even crossed my mind that this isn’t a correct use case for RMQ.

(Used the Java client.)
HTTP headers are lowercase.
A notebook isn't just about the paper, but also the binding.

If you're making your own notebook out of printer paper, I suggest you spend $10 on a 2-point hole punch and then buy the 2-point binders, which is far superior over staples. This should get you a good binding for personal use (sized for ~10 pages to 100 pages or so) with only 10-cents or so for the binding. Still, this gets you a "notebook" of size 8.5 x 11, which is too large for most purposes. (3-hole punch binders are a bit too big / heavy in most purposes in my experience, the 2-hole punch methods / folders / binders are superior for most purposes)

Folding in half is usable, but now you gotta cut the edge if you want the paper to line up right. I guess good for ~10 sheets (20 pages after folding), but any more and things are pretty bad in my experience.

-----------

B5 notebooks are just the right size: fitting inside of purses, my desk on the go. They're also auto-numbered (If you're buying higher-priced ones like LEUCHTTURM1917), come with built-in bookmarks, and come in a variety of styles (lines, dots, or plain).

The main advantage to "making your own" is the ability to print out whatever design you want (ex: music sheets, or in my case... breadboarding plans for electronics). So I still make my own notes with 2-point binder + 8.5x11 paper these days.

But for typical note-taking / day-to-day use, nothing beats a properly sized B5 notebook or pocket "Field Notes".

--------

Auto-numbering is a surprisingly important thing in my experience, to the point that I have bought an automatic counting machine (aka: a stamp that auto-increments). This is useful not only for page numbers, but also for lists within a page. It turns a $2 Walmart notebook into something usable for work and is cheaper than buying a fancy pre-numbered notebook.

Still though, those higher-quality notebooks from Jetpens are just really, really nice. And the fact that they have tested their paper and pages with a variety of inks, pens, and pencils with photographic proof is proof of Jetpen's quality of information.
Do you know of anyone that’s been convicted of wage theft, sent to prison, convicted of a new count of wage theft, sent to prison, and convicted of a new count of wage theft

… or did you just want to flog your hobbyhorse regardless of how poor the fit was?
this seems really nice.
> If it makes you feel better that Elon Musk (or anyone else) failed at something, you may want to re-evaluate your life's loss function.

Unfortunately I haven't reached that level of enlightenment yet.

I root for Elon to fail in the same ways I root for Donald Trump to fail. He's destructive, self-serving, thinks he's above the law, and hasn't faced real consequences for his actions.

I'm rooting for him to fail because he constantly lies, about big and small things. An example: He claimed Substack is downloading Twitter user data to power their competitor. There's no evidence of this. He said this before backtracking because he knew he was looking bad.

I'm rooting for him to fail so folks, like the ones in this very comment chain, can come back to reality and see that he's a flawed human like the rest of us and stop the blind worship.

In this specific case, I'm rooting for him to fail because he's proven over and over he's unfit to lead Twitter and make it a better product.
These are made by bots or low paid foreign labor (and probably soon AI if not already) and spammed at places like Reddit/HN for a) karma farming to make accounts look "legit" for advertising use b) ad view revenue. It's basically the same business model as SEO-ified blogspam.
Staff engineer here, I can confirm the market is brutal.

Readers, if you are wondering how to help: please read my résumé before interviews, and ideally, look at my github. I’ve been rejected for roles because I did not mention something in the interview, even though it is clearly on my résumé. Also please take cultural differences into account. I got a rejection because during the architectural interview, I phrased some of questions as “In this case, if X, I would…” instead of asking a direct question. English is not my first language, I did the best I can, it was disappointing to be rejected for that.
There's a few reasons I'm skeptical. For one they have an equally spotty reputation for arbitrary editorial policy while claiming to be completely agnostic. And secondly there have been a few stories about their distressed fiscal situation. They spent a load of VC money from the zero interest era on prominent writers. Far more than they'd bring in as revenue in the hopes they'd juice the brand. Classic strategy of selling dollars for 75 cents to get traction. Only they'd paid disproportionate amounts to some controversial writers which is, in essence, an editorial policy that speaks in dollars. They've also punished critics.

My general belief is that we won't get a better Twitter from VC world. I also have zero confidence in the Fediverse because it has no business strategy.

https://www.theverge.com/2022/8/17/23309877/substack-forever...
The fertility rate in Chad has hardly changed at all over the last 70 years since it’s been tracked despite massive reduction in infant mortality. Meanwhile, infant mortality in the developed world hasn’t changed at all and the fertility rate is dropping dramatically.

The Rosling hypothesis is false.
The Centralized Internet Is Inevitable (2020)
NSFW communities seem fine. IDC about true exhibitionism as it's all long gone and much is a lead magnet for OFs, Twitter, whatever.
America [and other countries] sent most of its manufacturing overseas for short-term economic gain, ignoring the damage all those lost jobs would eventually cause.

So I'm not surprised at all that the same thing is happening to some white-collar jobs now, thanks to AI.
The thing city denizens seem to not understand is that this fair-weather truck user is exactly who the F-150 was designed for. It was designed to be unladen 95% of the time. All the werk-truck wonk is just marketing to make sales. Ford knows who buys their products
> Also jobs often/usually fire people with 0 day notice and no severance.

This is only true in the US.
Interestingly, we've always started with an SQL custom queue and thought one day we'll "upgrade to RabbitMQ".