skysight-inc/HackerNews huggingface dataset:
It's a tricky one, because by some definitions it fits what is often called a metropolitan area, but there's no formal, objective definition of either urban or metropolitan area that is universally accepted. You're right it's probably wider than most uses of urban areas in English.

At the same time it's specifically meant to be aligned to OECD and Eurostats definition of a Functional Urban Area, which is a definition meant to ensure comparable statistics across countries, which neither the "old style" urban nor metropolitan area terms provide...

Which really just goes back to the main point that you can get pretty much whichever result you want here unless you narrow it down to the specific criteria that actually matter to you...
No, because the actual issue is that Uber’s profit model in Minneapolis required them to pay below the legal minimum wage.
>Ten years ago was pre oculus rift.

The Rift DK1 is almost exactly 11 years old, released 3/29/13.
Do you have a view on child labour laws?
It seems on par with Dopt (https://www.dopt.com/), but Dopt seems to be more fleshed out than this product.
fun! noticed a bug though, i won against ChatGPT (it wasn't even able to guess it), but it still said "Chat GPT wins!" at the end.
Yes! I'm heartened to see people realize the the benefits of PRQL and chained transforms over vanilla SQL (with some caveats!).

We'll definitely add a PRQL/SQL block to the UI soon (you will be able to toggle to select which one you'd like).

On that point - PRQL doesn't natively support PIVOT statements. As a hack, we made our own flavor of PRQL with a PIVOT statement and we parse that to SQL CTEs to make it work for now. I will be submitting a pull request to PRQL to add support to get around this.

We're working on saving queries to local storage as well as sharing via downloadable config files (we're thinking a PRQL file with some sugar that when uploaded, recreates the entire transform)
Though, that engine evaluation is going to be absurdly expensive, when you're compressing/decompressing billions of games.

I think everyone's optimizing the wrong thing! The size of a useful, real-world chess database would be dominated by its search indexes—indexes that allow fast, random-access lookup of every position that occurs in every game. (Or even better: fuzzy searching for nearby, "similar" positions). This is the difficult, open-ended algorithmic problem. Disk space is cheap!

(Out of curiosity, does anyone here actually know how to solve the "fuzzy search of chess positions" problem?)
There wasn't actually a minimum wage back then. That was introduced in 2015 in Germany.
If you bounce from full time to full time with 75% unemployment you are a no-hire many places and almost universally in a downturn. Consulting and contracting is often used to be vague and even pretend you are unsuccessfully looking for contracts a lot of the time precisely because that is the reality for many and more acceptable for many types of employment.
The moment I saw this title, Immediately checked to see where Techno Viking is from!

This is wonderful.
They're going for what $6 billion? That's just wildly inflated, even without considering that a huge portion of their active users are bots.
Why is this a company?
On the other hand, the banking infrastructure in many countries wouldn't work without COBOL, scientific research wouldn't work without MATLAB, and healthcare wouldn't work without MUMPS. Many languages and paradigms, good and bad, end up entrenched within an industry.
A data-only pickle serialization protocol implementation would need to
skip calls to self.save_global() in pickle._Pickler.save() if condition(pickle_protocol) here https://github.com/python/cpython/blob/main/Lib/pickle.py#L5... and #L585 , and also in the save_type() dispatch table at #L1123 .
The Quest line of VR headsets are amazing, just saying.
Never Released Before! Explore the Kardashev scale, geopolitics, systemic and fiction in under 10 minutes...
I saw what it took to build both Uber and Lyft. I know that the government will bot be able to reproduce it in any way unless you are fine with a terrible user experience and times where no rides are available
I am really disappointed that you’re using such a childish argument against gay marriage.

Cows (and to pre-empt the other tired argument) and children can’t consent. We’re talking about consenting adults getting married.
It does because McDonald's isn't the one that suffers. It's the franchise owners having revenue extracted by them from the ice cream company and McDonald's corporate.

Taylor makes perfectly good machines for other restaurants iirc.
>> are disproportionately reliant on public assistance.

Whenever workers for a company are disproportionately reliant on public assistance, it means that the management has figured out a scam to get rest of the taxpayers to subsidize their business.

The taxpayers make up the difference between what is paid vs a living wage which would be required for those workers to sustainably work for the corp, and the management/shareholders pocket the difference.
Thanks to the future support of python, I find it more appealing than tauri [0] for mobile development, however I wonder how to compare them.
[0] : https://tauri.app/
This does seem like a great use case for it.
Do you like that you dont own your content any more? Do you like that it gets sold to open AI to make the next ML power draw?

We have the compute power and the networking to decentralize all of it. That means ownership and with that comes personal responsibility. It's not a trivial problem but it's a solvable one today.
Archived: https://web.archive.org/web/20240315175717/https://jacobin.c...
You nailed it.

I think -but i'm not certain!- that we have english words for those that "eat others' pie rather" vs "making a bigger cake". I think this is greed, and driven, respectively.

But as you say, we are extremely bad at ascertaining motives of others. So either we get lazy and reduce others to bring them to our level, or we are naturally suspicious and do so anyway.

I'd love to know more of a system that doesn't reward greed. We have laws in place to stop outright theft, but at least in countries like USA and Switzerland, laws do an extremely poor job at making certain politicians that come into politics dirt-poor, stay poor, while in office and even afterwards. That to me is exactly one aspect of the system that must change.
Im confused, how does probability help here when you need to encode the possibility of all legal moves?
The problem with harvesting mushrooms is that knowledge only applies regionally. Most of the time the people who get sick are travelers from mushroom-loving countries who forage while abroad.
They were just asking for something like minimum wage after expenses and employers portion social security equivalent.
> talk even less than before about actual engineering and more about the tools

Isn't that just a consequence of how much--or little--context is shared with (or easily-communicable-to) Random Strangers On The Internet?

For example, I've got some architectural issues going on, but it's a lot of work just to summarize it in a way that doesn't require local/domain knowledge. In contrast, talking about the weather or tabs-vs-spaces doesn't need much set-up.
Nope, email access won't allow you to bypass TOTP 2FA.
Well not at the moment, her career is pretty well off track now.
I keep going back to them over the years, they're the perfect mix of comedy and biting critique of the art world.
Ah, indeed I forgot about Beatsaber. You're definitely correct there.
They are okay with it at first because they don't realize they're going to wear out their cars. Then when the car is in the shop for a week, and they can't work, they're not only paying for expensive repairs, but also not making any income at the same time. There is a reason the turnover is high with Uber and Lyft, and it's not because the pay is good.
For everyone discussing the reduced accuracy/numerical stability of the algorithms in floating-point, this is true. But note that the application of the algorithms in the work is explored for fixed-point MM/quantized integer NN inference, not floating-point MM/inference. Hence, there is no reduction in accuracy for that application of it compared to using conventional fixed-point MM.
They can and do. There is risk of a fine. However there is the capability to disrespect the law and do what you like, an attractive option when the alternative is to prostrate oneself beneath non-Canadian jobseekers competing for the same positions internationally.
If you are worried about your things getting stolen, currently Apple does not do a good job vetting their store.

There was a story that a Bitcoin wallet in the store was stealing peoples funds and had Apple had be notified at least 12 days prior.
https://news.ycombinator.com/item?id=39685272

So the so-called security is a red herring.
So, do you think Minneapolis should pass a second law prohibiting Uber from pulling out of Minneapolis?
A big thanks to the many many who made it so useful and widely used.

R.V.Guha
I forgot the details, but he studied both mathematics and AI, so something in either of those fields.
Well, what do the prediction markets think?

Markets are unable to lie (as they are deeply/intrinsically connected to reality).
Oops, you're right.

The list on wikipedia [1] doesn't include it, I guess because it was a "development kit", and I just naively assumed the "Oculus Rift" was the DK1 not the CV1.

[1] https://en.wikipedia.org/wiki/List_of_virtual_reality_headse...

Edit: Went ahead and edited the wikipedia page so the next person won't make the same mistake.
Negative. Yes, others break down, but at a MUCH lower rate. It's a scam.
_All_ of it? Damn. That's wild.
Just imagine for a second if your hotel had Pepsi instead of Coca Cola. *shudder*. Not a world I want to live in /s
Within academia, this is known as "research is me-search".
They have taxis in Minneapolis, no? And ones that have apps available as well, as far as I can tell. Couldn't they just pick up the slack?
Absolutely. That's one reason why I avoid platforms and use traditional businesses wherever I can (in Europe, so it's probably easier than in the US)

But it's not wrong to blame the platforms either for their miserable business model exploiting the poorer and removing worker rights.
So maybe stop subsidizing wages with government welfare, and labor will automatically gravitate away and uber/lyft won't find enough drivers and be forced to hike wages to find drivers.
I never fully automated, but python paths->svg for strokes followed by import into FontForge for width and export to ttf worked nicely for my conscription efforts
Why do you say that, distant relative?
A Lemon Law wouldn't let franchisees use different machines. A Lemon Law would (might) require Taylor to buy them back, which wouldn't be desirable for a franchisee.
Deployctl, the command line interface for Deno Deploy
The more advanced your predictor is, the slower your compressor gets. OP has 600 Million moves to encode, how long does it take to ask Stockfish for its opinion on 600M board states? (and then again, every time you want to decompress) (not a rhetorical question btw, I know little about chess engines)

I suspect the sweet spot here would be to use a much worse chess engine for the predictions, giving faster compression/decompression at the expense of the compression ratio.
"Pro" is a misnomer here, though. "Pro" normally means "with extra features for professionals", where here it means "it's more of a dev kit than it is an actual product".
I agree. It's obvious this technology has a big future, the question is, outside of the current $3500+ niche marker, when? The Oculus Rift was created in 2011, id Software was demoing it at E3 2012, and in 2016 consumer versions of HTC Vive and Oculus Rift launched, as did Microsoft HoloLens and Google Daydream.

As it improves, I don't question that it has a future, and some people like it so much they're working on it and writing apps now. The question is how many years from now before a larger mass of people are using it?

The OP talks about the Internet, but the Internet started some time between the 1969 first ARPAnet transmission and 1974 paper on the Internet protocol. Out to 1993 most people were not consciously using the Internet, it was a rather niche thing. With the release of the Netscape web browser in 1994, the inclusion of IP networking capability in Windows 1995 etc., this began to change.

One could say this about AI as well. Up until 2019, Norvig and Russell's CS textbook "Artificial Intelligence: A Modern Approach" had only a ten page sub-chapter on neural networks. The now recognized as groundbreaking 2012 ImageNet competition victory by Krizhevsky, Sutskever and Hinton, was greeted with skepticism and disinterest on this forum ( https://news.ycombinator.com/item?id=4611830 ). The ideas for connectionist AI were there starting with McCulloch and Pitts 1943 paper, so that's a lot of development where things still weren't really happening until around 2012 or even 2019.

Some people can see the potential in things decades in advance, but they can take time to move into the mainstream, and it is difficult to determine how long that can take.
It's true that they would (really) only be paying taxes on the amount they earn, but that's still only calculated after the 30% (or whatever it is) split with the brokerage.

The team split, MLS fees, photography, etc are part of the net income. So maintaining a steady 25% of the total commission allows for some wiggle room just in case.
Why Taiwan Is Building a Satellite Network Without Elon Musk
Household toilet paper ran out (commercial did not, but its made for very different dispensers) because the supply chains are hyperspecialized and cannot adapt on any reasonable timetable. It absolutely did have to do with manufacturing capacity (otherwise it would have resolved much more quickly), and a rapid demand realignment of where people were using restrooms. The absence of price gouging laws would not have dealt with the fundamental problem, or even with the hoarding response once the supply problems became visible, it would just have shifted which hoarders cleaned out the stocks to the richest rather than merely the fastest, and would have put a lot more money in the hands of sellers.
The McDs ice cream experience is just flat out the worst.

It's like ice cream lottery. "Boy, a bit of ice cream might be nice!"

And it's a total crapshoot. Drive up with no idea whether it's going to happen or not. You want to just write it off, give up, "McDs doesn't sell ice cream".

But then you go another day, and there it is on the menu, teasing you!

Lies. Deception.

So aggravating.
Do you use any Apple Home / HomeKit automations? She is very frustrating and verbose. And constantly starts playing U2 on my HomePods even though I swear that I have deleted that album four different ways.
Yes, for whatever that's worth.

One example: I did a pure-chemistry undergrad degree and a psychology-adjacent graduate degree. The "hard science" degree involved basically zero applied statistics of any kind, any statistics concepts that came up were emergent from lower level stuff even in e.g. stat mech courses, and I wasn't even aware that "Design of Experiments" was a thing. Whereas the "soft science" curricula was heavily focused on statistical rigor, DoE, layers upon layers of internal controls, and so forth; basically because there was no practical way to see an unambiguous effect. It certainly seemed "rigorous".

However the soft science stuff just has less predictive power despite the rigor. In broad sense it relates to human perception, capabilities of technology, model systems, semiotics/epistemology (maybe wrong word), prediction/confirmation, especially faith.

For example, at a macro scale on Earth, it is very easy to accurately predict at human scale how things work. Micro scale physical objects require a bit more bootstrapping. You can't see most molecules or atoms, so you have to come up with a way of inferring measurements through other processes which themselves have to be trustworthy. Etc.

At some point of course, one has to select some model as an axiom or matter of faith to make any progress. You can't model a dropping brick if you can't trust your timer or measuring tape, etc. So you stand on giants' shoulders and make a predictive model as an extension of the axiomatic one.

This starts getting really squishy when you're dealing with entire concepts that have no agreed upon definition whether quantitative or qualitative and try to make them into something onto which statistical rigor can be applied!!!!!

So with soft-science literature it is always extremely important to mentally substitute the details of a model's implementation, for the shorthand expression used to describe it which may overlap with a commonly used word.

For example, "We found that this drug candidate significantly reduced depression in mice" -> "We found that this drug candidate significantly increased the amount of time mice swim around before giving up when you chuck them into a tank of water, etc.

because the rigorous conclusion might not actually be practically meaningful if the axioms are practically unpredictive.

And even worse, going back to the "no agreed definition" thing, the definitions of psychological concepts are only defined in terms of these very vague experiments! It's like bootstrapping physics if you're a disembodied nothing in a simulation.

idk there's much more to say on this but I'm procrastinating at work so
Background for the joke: https://www.buzzfeednews.com/article/stephaniemlee/dan-ariel...
I like McDonald’s because I know there’ll always be a bathroom
The effectiveness is hotly debated in literature [0], but I recommend everyone keep activated charcoal in their house. At the first sign of food poisoning take a couple tablets. It’s commonly used in Asia and has saved my life at least twice. For some reason it’s not as popular in the western world, but you can find it on the shelf in many pharmacies.

[0] https://pubmed.ncbi.nlm.nih.gov/34424785/
Kind of! In this analogy I’m cheating on my taxes, and everyone tells me it’s my fault when the government makes me pay what I actually owe.

I’d also go to prison, whereas Uber and Lyft just get to say “whoops!” and leave town.
> I think the description of the VisionPro as a dev kit is spot on.

A devkit prepared for lock down. It's the old formula: let devs make the platform great, then pull a Sherlock or increase the platform fees. Count me out.
> There is no justification for a special legal exception for lab-grown meat.

Sure there is. It's untested and experimental. I don't want to go to a restaurant and accidentally eat lab-grown meat.
>Everything is bad these days, not just the sofas.

When these conversations happens, I always wonder why people want some of these items to last forever.

Are you going to stick with that 10 year old plasma TV? Great. I want new tech, and this stuff moves fast. Furniture is a bit different, but my parents had all kinds of good, long-lasting stuff that no one wants because it's out of style.
> Detroit itself is a fairly small city, population wise

Detroit's population has decreased. It was the 5th or 6th largest city in the US around 1980, iirc.

> Detroit techno producers and DJs spent most of their time touring in Europe (where they could get paid), not here in North America.

> The Detroit Electronic Music Festival events were kind of a rare acknowledgement by a larger audience (I went to the first two only, though).

Yes, they were virtually unknown in Detroit. I also remember the first DEMF. Detroiters had no idea what was going on - what was this music? Why were people coming here from all over the world? One of my favorite memories was Derrick May finally taking the stage as the headliner:

https://www.youtube.com/watch?v=R4xqV9_7rf0
In one case adding type information into the function args, for a function with a loop being run like 20 million times, it made a pretty substantial difference; it brought processing down from roughly 2 minutes to roughly 10 seconds.

I didn't do a control test to figure out exactly why, but I think it was having some issue with a parsed CSV being read as a matrix. I think explicitly putting that requirement into the function signature allowed for a lot of low-level optimizations to be used that it couldn't use before.

I'm not 100% sure though; basically when I was getting some performance bottlenecks I did some preliminary searching and some of the results said "try adding types to your function signatures", and I really couldn't think of a good reason not to add them for most of the variables, and so I did and it worked.
That's exactly how Uber wants you to think. That's what they're doing: making it seem like the law is preventing them from operating (they just don't want to pay reasonable wages) so that the people get mad and vote it out, at which point they can simply continue to pay unlivable wages again.
You'd probably want to use something like CABAC rather than Huffman, since it deals better with dynamic probabilities. https://en.wikipedia.org/wiki/Context-adaptive_binary_arithm...
Housing Crisis Spurs Some Politicians to Break from NIMBY Pack in New York
Reminds me that emergency services are adamant about not calling it (as in the song):

So they called nine-eleven, like any piggy would
The sent out Rambo, just as fast, as they could

Because in a stressful situation, people would literally get hung up looking for the "11" key on the phone.
> Is it just the vast amount of money?

It's not the money. They did it with the iMac when they were headed for the ground, and with the iPod when they were in a better position but still without infinite funding. Reality is actually quite simple: they spot technology advances, and integrate them into a neat, well-designed package that people actually want to buy.

The first iPod was a fancy shell around an IBM 1.8'' hard drive. There were MP3 players before but they were very bulky, or could store only a handful of files. They saw the hard drive coming, did the math, and went all in.

Same thing with the iPhone: there were smart phones before, but they spotted the capacitive digitizer that was orders of magnitude more accurate than the competition, and boom, multitouch.

Same thing with the AirPods: the killer feature being their fancy Bluetooth chip, which made the experience much better than the competition that was established for a decade at that point.

It is quite interesting that they do it over and over, going as far as saying what they do in interviews, and some people really don't see it for what it is.

> Are they the only ones who can create products?

They are not. They just have a vision of what they want to do, and once they start they put the effort needed (sometimes killing advanced designs before release). Then, they iterate relentlessly generation after generation. They play the long game, and often introduce their first generations at higher price points and keep improving and driving their price points down even if it is not an initial resounding success. Any company can do it, if they take design seriously and optimise for long term strategic goals rather than short-term economics.

> Competitors work for ages and ages fighting each other, refining v1, v2, v2.1, v2.2, v2.25, and then suddenly Apple comes out with something v8-ish and the whole industry scrambles.

If you look closely, when Apple comes in, it's because they have found a differentiating factor that they think will make the difference. They always have a compelling message about why you should choose their product above the competition. And it's never "same product, but cheaper".
> humility

> humanity would profit in orders of magnitude