skysight-inc/HackerNews huggingface dataset:
Personally, I wouldn't mess with tailwind until you have the fundamentals of CSS sorted out. To use a PHP example...Whereas you're actively writing a lot of PHP when using frameworks like Laravel or Symfony, and can learn from that process, you're not really writing a lot of CSS with tailwind. You're mostly just adding classes to elements and supplementally adding some styles on top of that.

I would jump right into modern things like flexbox and the grid system as the old ways of floating are basically useless. I mean they still work, but I can't remember the last time I had to use a float to create new layout. Start with flex, as it's a bit more beginner friendly than grid is. I've been doing this for nearly 20 years now and I still struggle to wrap my head around grid sometimes.

You can ignore BEM until you've got the fundamentals sorted. BEM is just a clean standardized way to organize class/id names, it's nothing functional.

Sass helps streamline things a lot via nesting and variables to begin with. More advanced features can also be useful, but until you've got the fundamentals it may not be clear where those advanced features can be applied. And Sass requires substantial more initial setup than plain CSS (you'll need Webpack or gulp or something to turn the Sass into CSS). Not to mention that Sass's biggest draw is variables and nested styles, which CSS now supports natively (albeit with really weird syntaxes, imo). So I'd skip Sass for now.

And yes, you can jump into an existing page and tweak it. That's how I learned it initially. https://csszengarden.com is a good resource for that. It's the same basic HTML site with different CSS themes you can load. It's a good showcase of how powerful CSS is what you can do with it without touching the underlying HTML. Dev tools are very useful there as you can turn individual styles off, change their values, etc.

Lastly, I'd just start with a blank page and try to create a simple 2-column layout. Narrow left column with a basic navigation in it and a wide right column with a few paragraphs of text in it. Then build off of that -- add a header and a footer. See if you can get the header to "stick" while you scroll down the page, etc.
Ok. I did.

"Yet, there is no consensus on whether aphantasia should really be described as a 'condition', and there is no battery of psychometric instruments to detect or 'diagnose' aphantasia. Instead, researchers currently rely on the Vividness of Visual Imagery Questionnaire (VVIQ) to 'diagnose' aphantasia." [1]

There is not a test that can realistically be relied on. At least one of the top results was someone getting an MRI because of sudden aphantasia. At least one of them was about mouse studies.

And I'll just go back to what I've said: You can't get diagnosed with an MRI, and honestly it'd probably be irresponsible to do so since folks with actual issues need the MRI (aphantasia generally seems to be a simple difference in the way one thinks rather than an actual condition. More akin to which hand is dominant than to anything physically wrong).

[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8186241/
Machine-generated works are not eligible for copyright, and courts have been ruling this way about AI content. https://www.reuters.com/legal/legalindustry/who-owns-ai-crea... Early days and there are still appeals as well as new legislation in progress, but that's where it stands now.
Unless you have a specific learning disability, I refuse to believe that you are unteachable. Maybe you have zero interest (in which case, of course you won't learn). That's fine. Maybe abstract reasoning doesn't come as natural to you as it does to others, that's possible. But we know how plastic the brain is. Given enough time and dedication, you should be able to learn things - certainly not PhD level stuff, but the basics.
>1. You're basically patenting algorithms, which aren't supposed to be patentable.

Hardware patents just cover algorithms that have steps involving arranging atoms.

>2. There seems to be an assumption that anything new is unobvious and therefore patentable. And in computing that isn't really the case.

It isn't really the case in anything. That no one has bothered to patent yellow wrenches with beveled edges doesn't mean they should be patentable. That the software equivalent is currently more likely to be granted isn't really an issue with the idea of patenting software.

>A patent is supposed to describe how to actually do the thing. Software patents by and large don't do that.

That's an issue with particular software patents, not one particular to patenting software.
It makes sense for most people. When they want to turn those off they want to either disconnect from WiFi or disconnect from Bluetooth audio, and they don’t expect things like airdrop or their Apple Watch to stop working when they turn them off.
I think this is a different phenomenon - I forget the name, but basically, your brain produces more of the behaviour that you rehearse with it. In my youth I played a lot of Tetris, to the point where I would ‘see’ (almost hallucinate, really) fitting shapes into the tops of hedgerows and skylines when I was outdoors.
... and a few more. That apart, none of what you've said excuses the CIA interventions which eventually let Khomeini take power.
And it's expensive to catalog a collection much less display it. A lot of people probably assume that their collection of "stuff" that's of historical interest to some community of people will be welcomed by museums/libraries/archives with open arms. But that's often not the case.
When someone asks “are you a god?”, You say YES!

Is what these AI conversations sound like to me.
This exists for larger “packages” - think pallets and less than truckload (LTL).

You can order from Uline for example, and select “my carrier” and you can then instruct a shipper to pick it up, or send Bob down with the truck, etc.
About understanding, we're used to it but you can't trivially know whether 02/05/2026 is a Monday. Even remembering whether July has 30 or 31 days can be a chore. Irregular months also can have some small annoying effects since "in a month" is not always the same amount of days. There's even the 360 day calendar for that https://en.wikipedia.org/wiki/360-day_calendar

Just one more in the long history of https://en.wikipedia.org/wiki/Calendar_reform#Proposals
I understand assembler. I still don’t understand CSS.
The Party told you to reject the evidence of your eyes and ears. It was their final, most essential command.
I have two modes depending on the task, a two dimensional one as in seeing the elephant which is in colour - though nowhere near as good as a picture! - and a three dimensional one in which I can imagine it in three dimensions but not in colour it sort of is inside my body rather than in my mind's eye and the bits have a feeling which can be vague if not well known. I can imagine moving mechanisms quite well.
> Not imperialistic. Would you say the same of the English language too?

Yes, of course? When I think of imperialism the first thing that comes to my mind is precisely "the bri'ish empi'ah and its commonwealth"! If English is currently the world's default language is just because of the triumph of English/American imperialism.
Zero. Of all the atoms in the Universe, about 98% are primordial hydrogen and helium[1], "primordial" meaning they formed very shortly after the Big Bang.

[1] https://en.wikipedia.org/wiki/Abundance_of_the_chemical_elem...
There was an escape hatch using an addon collection and beta or nightly. That may have taken off some of the pressure
The engine analogy is not a great one. Those inputs and outputs are very crude information. The actual design of an engine is quite complicated and subject to very close tolerances.

Your analogy is like going to an airport and looking at departure and arrival times as well as the flight path and then “reverse engineering” an aircraft from that. The chances are very low that you produce anything remotely resembling the aircraft you’re trying to reverse engineer. Same goes for the engine.
How Mark Duplass Fights the Sadness
Although crystal has an absurd amount of lead, most glass that isn’t clear has lead in it. For example the green San pelligrino bottles: https://tamararubin.com/2017/04/pellegrino-green-glass-water...

A lot of clear glass has lead in the paint or markings, even in baby bottles. Here’s various test results: https://tamararubin.com/2020/04/this-post-is-linked-to-all-o...
It's not exactly what you'd call "seeing". It's more like it's rendering to an off-screen buffer somewhere -- I'm able to perceive imagery and details if I actively think about them, but not in the same way I see things with my eyes.

I'm convinced most people experience the same thing, but they lack the ability to communicate their experience so their descriptions sound wildly different. If it were possible to step inside my brain for a moment and take a peek, one person might say I see things in vivid detail, whereas another might say I don't see anything at all.
> I think it is highly unfortunate that universities these days, at least in science, then to force students to buy a new edition every year, or at least every couple of years.

This seems to be a specifically American (or anglo? not sure about the UK/Australia/etc.) thing. I've never heard about this happening in Germany where there are standard textbooks in about every field that people have been using for decades - and in many cases, people just simply go with the lecture and the associated notes instead of a textbook.
Where did you make up these statistics?
https://archive.ph/96fHo
You are confusing the difference between a necessary condition and a sufficient one. The argument was that practicing was necessary to gain a deep understanding of math, not that it was sufficient.

Ironically, this is one of the first things they teach you in college level math (or at least they did in my case).
Not heard of CrowdSupply before. Why'd they go with this over the more well-known Kickstarter?
The near term promise is that you can use AMD, CUDA, TPUs, CPUs etc without explicit vendor support for the framework on which the model was developed.

Disclaimer: I will be very handwavey, reality is complex.

This is achieved by compiling the graph into some intermediate representation. And then implementing the right backend. For projects here, look at stableHLO, IREE, openXLA.

You can argue that Jax's jit compiler is a form of such compiler, mapping the traced operations down to XLA, which then does its own bit of magic to make it work on your backend.

It's transformations and abstractions all the way down.
> have been the standard for learning many topics for hundreds of years

That means very little, history is littered with awful standards used for centuries, there is no magic that translates longevity into greatness

> They have few technical problems

Hard to bookmark (and find what those are for later), hard to search, hard to annotate (and search those later), hard to edit, hard to embed rich/dynamic content, hard to track understanding, hard to adjust content based on that, hard to tailor to a specific reader in general, hard to update layout, hard to collaborate, ...
https://threadreaderapp.com/thread/1489901640777973768.html

Here it is unrolled. I hope Elon succeds in actually killing Twitter, awful ui for this stuff
Electric cars do not make sense to own if you are not also owning a garage where you can charge them overnight. Also, if you are unwilling to add 1+ hour(s) to your travel time on longer distances.
The economy and the economic plight of the bottom x% of society are not the same thing.

Nor is every single case of homelessness necessarily related to the economy.
25 years ago when I worked in a small shipping department for a computer reseller we had amazing experiences with UPS. Everything just worked. Their software was good, pickups were on time, delivery end was never a problem. Our computer could print tracking numbers directly and if you searched on ups.com for them even before pickup time they showed the status of waiting to be picked up, then within an hour of being picked up, even before they got to the local depot the status would change to picked up. It was amazingly good.

How has so much gone so backwards since then? Is it just that the volume of packages now is tremendously higher and the budgets for IT to keep up haven’t scaled appropriately?
Or there is a K-shaped recovery in the economy.
I’d actually prefer it if I could tell UPS and FedEx to only deliver on a specific day (or be told that for my area deliveries are only Monday, Wednesday, Friday) - no need for the trucks to roll all the time.

I guess they don’t really have that much to deliver.
Books don't work? I beg to differ. Books are how I've learned 80% of what I know. They work better for me than any other method I've experienced. However, I'd agree that textbooks don't work. At least, they don't work for me.
As someone also building an SRS product, why did you decide on Python as your initial market? I genuinely feel like programming is best learned by _doing_, and thankfully it's pretty easy to practice writing Python. I feel like a better way to learn Python is to introduce a concept/word, and give a playground where the student can play with it.
For what it’s worth, I had a similar experience with my old Xbox controller. I bought a new one and the issue went away.
We can’t even make an accurate file copy dialog; we will never have accurate tracking.
This stat should probably be per population size, but regardless it’s a clear indicator that the economy isn’t as awesome as they say
Right-wing drivel by Axel Springer-owned Politico (publisher of the infamous "Bild" tabloid in Germany) trying to rewrite history. Flagged.
Don't complain reflexively without looking at the submission. It's >95% text, the whole video transcript.
> It should belong to the person who made it

thats the contention, its not a person who's made it.
Use model output as training data. For better performance you can get some top log probs and minimize kl divergence.
Imagine dolphins become incredibly intelligent and sapient, how would they ever have an Industrial Revolution?
Definitely interested in how you achieved another 2-10x over the btree approach. I want surprised that btree was as effective as it was, but I’d be curious to know how you squeezed a bit more out of it.
IIRC it was about emerging MRI reconstructions for MSK in one of the educational sessions. It was more the ambiguous way the claim was stated about trasferrable knowledge initially that got me thinking about the "10% of brain" thing rather than anything specifically presented.
Same on MacOS. It got to the point where I made a start up script to check and disable Bluetooth.

Apples official stance is that this behavior “functions as intended”.

https://lapcatsoftware.com/articles/bluetooth.html
I guess they could figure it out via pattern repetition right? I thought they leave API users alone, especially corporate users… Or are they still monitoring corporate users? Sounds like a major security issue if I’m a CEO. Does Microsoft read and ban people from Microsoft Word/365? Etc
Updated X link https://x.com/123456/status/1736023700057608352
A known Gollum of patents. Must caress them in the night :-)
"My patents...My precious...Precious patents..."
And just in case you need more proof this is just the current year edition of an old thing: https://en.wikipedia.org/wiki/Buzzword_compliant#Examples
> The economy and the economic plight of the bottom x% of society are not the same thing.

It used to be the job of the left to argue the opposite.

In my best sarcastic Tucker Carlson voice: "you judge a society by its worst off"
Exclusively focusing on the security failures arising from end-user UI/social engineering and ignoring the failures arising from poor engineering billed as modern software development best practices is another type of failure.
This is the "problem" today that I see in the classroom (I used to teach CS until recently)... learners today do not want to dedicate the time it takes to truly understand. Not all of them, but a LOT of them have the opinion that they just need to get through this damn algorithms class, get the damn piece of paper (diploma) so they can go out and start a job doing "real" programming.

Those students, they do not get FAANG jobs, or make big money. The few that want to understand are much more like the articles description, and they end up five years on far ahead of their peers at work.

Just my $0.02.
I’d think after the events of the last couple years anyone there would be ashamed to speak Russian.
Why are spaced repetition "practitioners" warning against that?

I have a "Roman Emperors" Anki deck. It serves absolutely no purpose except making me feel good about it, but it works well (except maybe for the final few emperors, those tend to be leeches).
I've done the same bargining speaking Cantonese in HK and Hindi in India.

I personally don't like it. There is a foreigner tax on everything , sometimes you pay 10x the amount that locals do. I haven't come across this in America ever.

(Except in NYC where it doesn't matter which language, as everyone gets equally gouged).
Like the Tin Man in The Wizard of Oz.
Indeed yet the data says these are mostly first-time homeless. So more likely to be related to rents and healthcare rising much faster than wages.
I've used spaced repetition to memorize nearly 5,000 words over the last 15 years, but I struggle to apply spaced repetition outside of key/value pair memorization.

It seems that SRS is best used for "know what" rather than "know how".

I am curious if anyone has applied spaced repetition to memorization of things other than terminology and how they did it.
Well, if you're willing to use Prolog I commend you, but then you don't need an LLM because you don't need to do a dumb search of a large space. You can instead use second-order Resolution for induction. Here's how it's done (a.k.a. shameless plug of my PhD work):

https://github.com/stassa/louise/blob/master/data/examples/a...

>> Disclaimer: did my dissertation on ips (with genetic programming), but in the 90s when we basically had no computer power. The results were horrible outside trivialities, now they aren't anymore.

But that's because the training data and the model parameters keep increasing. Performance keeps increasing but not because capabilities improve, only because there's more and more resources spent on the same old problems. There's better ways than that. All the classical AI problems, planning, verification, SAT, now have fast solutions thanks to better heuristics, not thanks to more data (that are useless to them anyway). That's a real advance.

I still would like a quantification of the "vast trim" btw. Numbers, or it didn't happen.
"Expert" educated through books tells us why books don't work.
I still have the Odhner calculator, as seen on page 19 of that PDF, that my grandfather was still using at his SME in the eighties (he owned a little SME making tailor-made clothes)! I think that at some point in the fifties he bought a stock of desks, calculators, typewriters, etc., used, from another company. And then he kept using these old machines for decades.

As a teenager I'd go help for a few bucks: I'd use the typewriter to write letters plus actual "carbon copies" (literally putting two or three sheets of paper separated by a carbon sheet).

Never understood how that Odhner calculator worked but I still have it (and I had no idea it was from 1920: TIL)!

P.S: I also wrote my first program used "for real" back then: I wrote a program on my Commodore 64 that'd compute the discount for his clients (like, say, hotels) according to how many suits they'd buy. And I printed the results on a dot-matrix printer. This saved my grandpa lots of time!
This is a ban on government employees, not regular people. Still interesting, but the headline seems a bit hyperbolic.
> Do people usually carry their keyboard from their desk with them when they take their laptop somewhere else?

Yes, absolutely. Having your keyboard right next to your screen is terrible ergonomics. Fine in a pinch or during a meeting, but not for working for hours.

The Magic Keyboard slides right into my bag, and I use it on my lap while my laptop sits on a table or airplane tray. It's incredibly more comfortable. I have long arms and it's literally impossible to type on a plane otherwise, without elbowing seatmates in the ribs. If I'm working somewhere remote that's more private, I use a tiny collapsible stand that raises the laptop display closer to eye height as well. (Don't want to attract weird attention like that in a coffee shop though.)
The only case I like for it is, I’ve got a windows computer that I plug into the TV for gaming (glorified console really). It is nice to not have wires across the room.
My gut reaction after looking through the source of the various implementations: barf.
Well ours does, so I wonder how they do it. It's a German workers council (Betriebsrat). Maybe they can negotiate but less in detail than a union?
For those who wish to learn more about the slide rule, I recommend Asimov's (yes, that Asimov) book, "An Easy Introduction to the Slide Rule." I was lucky to pick up a physical copy as a young man, but it appears it's available as a PDF online.

That, plus any of the $10 vintage slide rules on eBay, opens a while new world of fun. I still use slide rules fairly regularly. I find that I gain better understanding of the equations I use the most when I can reformulate them for easy solving on a slide rule (e.g., so you can solve an equation with two operations with one slide move).
Single oscillator synthesizer is still a synthesizer.

It’s not just the square wave, you also have an option to start and stop the sound (envelope). Sure, it’s basic to the point of being almost useless[1], but that was the goal I guess.

[1]: Although a device with similar capabilities called Stylophone ended up in Space Oddity. Details: https://en.m.wikipedia.org/wiki/Stylophone
Donald Knuth put it best:

> I decry the current tendency to seek patents on algorithms. [...] There are better ways to earn a living than to prevent other people from making use of one's contributions to computer science.

The Art of Computer Programming, Volume III ( via https://lwn.net/Articles/132926/ )
How do you figure? It would look like people from all over the place running API workloads on a wide range of tasks and topics (if the goal is to distill the model generally, that’s what you’d need). So many people are already using GPT-4 to synthesize fine-tuning datasets, I think it would be invisible.

However, you might wonder what the goal is. This “API distillation” is good for teaching a pretrained model how to do lots of things. But the end result is always constrained by the quality of the pretrained base model, and API outputs don’t help at all with that part.
Because the target distribution is not known, whatever PyTorch docs say. The test distribution is known and nobody knows what's its relation to the target distribution except a hope and a prayer.
I also have a sense that community is a missing piece.
Passengers: http://fplgenerator.free.fr/Aero/Airship/VLLAirship%20AIAA.1...

Cargo: https://ageconsearch.umn.edu/nanna/record/319295/files/ageco...
Maybe an issue with patents? All the formats there are open source with the exception of MP3, that from what I remember had its patents expired a few years ago.