skysight-inc/HackerNews huggingface dataset:
You don't necessarily need `-ffast-math` if you are willing to tweak your code a bit, since you can just introduce accumulators by yourself. Such optimizer-friendly code is not hard to write if you know basic principles.
What’s you use for 100B records?
StockX has 1000+ employees and they only do used sneakers and clothes. I remember reading about eBay spending a lot to compete with them a few years ago, seems they lost. It’s valued at 3.8 billion so not an insignificant chunk of eBay’s market cap.
No bait. Apologies if it sounded insulting.

Put it this way, it's extremely challenging and not simple at all to walk and balance on a wire. Tight rope walking is not simple at all because very few people can do it.

But tightrope walking is different from something like Quantum physics. I may not be able to tightrope walk but I can understand the concept in it's entirety. For Quantum Physics, many people will never truly understand it.

What I'm saying is this, ML is tightrope walking. Challenging, not simple, but NOT quantum physics. It only seems like quantum physics.
Link to the report: https://selectcommitteeontheccp.house.gov/sites/evo-subsites...
The list of successful detections BEFORE impact is indeed very short: https://en.wikipedia.org/wiki/Asteroid_impact_prediction#Lis...
Is there a different backend/purpose behind each separate domain/site?
San Francisco takes legal action over 'unsafe,' 'disruptive' self-driving cars
The system's internal vision and rendering pipeline is really pushing the limits of what can be done now.

The first versions of this kind of thing are often "declarative"; you push your data (with strong limits) to it, and it handles the rest. This way a level of performance can be guaranteed.

It will be a few generations of hardware before the system is more "free."
In my experience, Llama2, mixtral, bard/gemini hallucinate so much more than gpt3.5 that they are unusable.
For trivial things and small examples you could be fooled. But large scale when you need somewhat accurate results, they aren't great
The video player in e.g. Infuse is better than all of the streaming service ones I've tried. Infuse is good but I doubt they are special as much as just in a position to care about the quality of the player instead of IP.
> guide the decision-making process

What does it mean exactly? Because this can mean everything really. I mean you could guide decision making process by "now press break, now reverse and...", is it still driving?
Yeah if what you want is espresso, then a pour over setup is not going to make what you want. Technically a Moka doesn't make espresso either though. The pressure is not the same.
I'll step out on a limb and say that the kinds of consumers I'm talking about think that NAS is a rapper and think that FLAC is a short way of talking about the company with the talking duck. :-)
with IPv4 you cant really, because getting traffic routed to those ips is a major undertaking.

with IPv6, every IPv6 capable device is potentially capable of handing out something like the entire IPv4 space of public ip addresses regardless of how a single firewall or router is configured.

"trying to configure connectivity and access resources using only IPv6 addresses is borderline insane"
I've been to 6 separate service centers and always had better service than any ICE mechanic.
Smells like a crypto puff piece.
It’s not even the complicated part, these are fields where people still use fax machines and wouldn’t use teleconferencing until they were dragged kicking and screaming through COVID (And even then, lots of courts were like, nah, we’ll just close court for a year, too bad for you)

Free market dynamics don’t apply. Healthcare is the same way because it’s controlled by an old guard backed up by the force of law. There is no way to disrupt because the system is rigged.
The easiest thing is to just stop registering for useless garbage.
Oh, that makes so much more sense, thanks!
Boeing does not have much competition in a real sense for a long time, and when that happens, MBAs quickly take over the world. It is just in Flight industry this is too much to mess with and we see some consequences. But if we are comparing just messiness in terms of R&D to operations, probably none of FANG or something like AT&T are better than Boeing.
Curve fitting a set of data is essentially the same thing as understanding something at a high level. We have data points but no way to extract the low level exact equation that generated that data...

So we create a curve and estimate it. We will never know the true equation. Additionally the curve has hundreds of dimensions and is essentially something that can't be visualized or understood cohesively. We have this neural network that represents the curve but the neural network is a black box.
Everything is working fine for me, same as the last few years. I mostly listen to weird electronic music in my car with an iPhone.
I add a specific static ip where I care (dns resolver). The machines usually give themselves a few other routable ips I guess for fun? No idea why they don’t go away.
C++ users can enjoy Highway [1].

[1] https://github.com/google/highway/
Huh? It’s not about some profile scores it’s about practice. Leetcode type problems are asked at most (all) FAANG like companies.
> Idea: An anonymous "vote to end meeting" button where if 50% of people press it, the meeting ends immediately.

https://twitter.com/joeylorich/status/1468976175821250565
From the mouth of this post's author: yes.
Good question. 1. VectorDBBench is an open-source benchmark that is pretty vendor-neutral. If you've used it or checked its leaderboard, you'll find that almost every database is ranked first or in the top place on specific metrics.

2. The key to using a benchmark is not to find which vector database is the "best" but which one is most suitable for your use cases and applications. Actually, there is no "universally best" vector database for any situation. So I don't think anyone should be able to cheat on this.
But the issue is that there is now only 3 trees in town and you have little to know control over their maintenance or what goes on and off the branches.

You still need shade, and so do others, and if you're doing any business that requires shade, you have no choice, but these 3 trees.
Douglas agrees with you. He thinks his own book, GEB is wrong. Essentially chatGPT basically made him do a 180. He sees his life work in shambles.

See here: https://www.nytimes.com/2023/07/13/opinion/ai-chatgpt-consci...
That sounds like metaphysics. The Universe doesn't "want" to increase entropy, entropy increase is simply a consequence of applying basic statistics to matter and energy. There is no mechanism that actively explores various pathways for making entropy increase faster.
It's a classic example of start-up scene tunnel vision. If you are in that scene, it's very easy to think the whole industry is like you, hyped about the latest javascript framework and "passionate" about whatever is hip today. In reality, measured by dollars or by developers, the vast majority of the industry is run by folks in their 40's to 60's solving unglamourous business problems in .Net or Java for millions of dollars.

I say this as someone who came from Python and JS and startups and so on and got into doing tech deligence for big funds - I was gobsmacked by a) how much of it was .NET and Java and b) how much god-damned money people make solving the most unglamorous and boring business problems you can think of. (And c) how much they spend on cloud services.... OMFG.)

What folks in startups read in the blogosphere and hear from others in the same scene is not really reflective of the larger industry at all.
It's very "late-stage capitalism" that we have all of this fantastic forensic technology but we aren't using it because we've outsourced evidence testing to the lowest fly-by-night bidder.
They’re only less expensive on paper because the rest of the county, state and federal government are footing the bill for infrastructure, gas for all the driving and everything else. If we were paying the actual price of suburbia people would likely be moving closer to the cities.
Nice! Similarity searching is the bane of my existence, but also gives life to so many of the things I work on. 200x sounds wonderfully fast.

Does this do levenshtein distance? Didn't see it in the main document.

Edit: also, THANK YOU for adding a parameter to specify # of threads. Wish this was a wider standard practice.
Traing tools
> the algorithms no longer have the "delightful serendipity" they used to

There is a limit to "delightful serendipity". At some point, you will have heard everything you could potentially be interested in but not normally listen to. After that, it will be either not your thing or more of the same.

Also, algorithms don't read your mind, they just match your usage patterns (mostly what you are already listening to) to other people usage patterns and give you what they have and you don't. For example you may listen to psy trance, and the algorithm notices that many people who listen to psy trance also listen to folk metal, so it will give you some of that. And there is a good chance for you to like that even though it is a completely different genre you may not be aware of.

But once all the matches are done, that's the end. There may be a few paths left for you to explore, because you are an individual and not an average, and tastes change, but there is no easy way for any algorithm to find that. The only solution is to go with stuff you probably won't like, so, not so delightful serendipity. Or just give you more of the same.
You don't usually pay for that. For instance, as a gooner, I will go make fun of Man Utd fans utterly for free.
What Is OpenAI Microsope?
Funnily enough, they see themselves as the most irreplaceable.

Also:

"Out of the 20,066 emails we contacted, 1,607 (8%) bounced or failed, leaving 18,459 functioning email addresses. We received 2,778 responses, for a response rate of 15%."

Thus, better research questions might be why so many participants do not want to participate in these surveys, and whether AI researchers themselves are the right people to "answer" these questions to begin with.
FYI the VectorDBBench leaderboard: https://zilliz.com/vector-database-benchmark-tool?database=Z...
Shouldn't they at least have various p(doom) numbers for various things they think are problems? I don't really know how you could construct a "seconds to midnight" (or minutes to midnight, theoretically this thing is supposed to be a whole 24 hour clock, but when's the last time that happened?) value for something that's inherently probabilistic.
I ride a recumbent bike, and honestly the random commentary is way more positive than I'd expected it to be. Kids go nuts for it, 90%+ of adults' reactions are friendly, too. Lycra-clad street bicyclists are the negative exception, but are easily enough ignored. And it's always fun when you come across another recumbent rider; a friendly wave is all but guaranteed.
What's the advantage over FOSS broken link checkers? Some even have a pretty good GUI.
Who couldn't make it work properly, the language designer, the stdlib writers or the Java programmers?

There is no way to make e.g. InterruptedException "work properly" as a checked exception since there is nothing intelligent one can do about it that's specific to this exception class. Rewrapping as RuntimeEx is just as much weaseling out but using more code and messing up stack trace for no good reason.

Also, thanks for answering my request for a fight. Winter is boring.
Men are going to brutal boot camps to reclaim their masculinity
As a full time web app maker for many clients over the last 6 years I'm potentially a customer for this.

But that pricing page is a massive turn off. I can't see the functionality or see the pricing without booking a demo with some sales people? No thank you.
Based on his IRL name he appears to be Hindu. Fwiw artagnon has a good track record as a tech blogger.

https://news.ycombinator.com/from?site=artagnon.com

https://news.ycombinator.com/submitted?id=artagnon
> Dumb, ICE-based cars were a poor fit

Our "dumb" Audi A6 ICE vehicle has just as good or better self driving and parking as most EVs on the market, so not sure why we are coupling these together.
Culturally it is best to train developers to just do something, then provide non-judgemental feedback when what they do isn't what you want. Maybe schedule in some rework time to try again. That way, developers move quickly and sooner or later start building useful things.

"Just tell me what to build" is a dangerous attitude to foster. It pushes more work into the management layer which is already a bottleneck for making decisions. That is bad strategy. A couple of devs thinking that way is OK, but it is going to accentuate the inevitable management dysfunction.

The best approach is a culture where PMs understand customer problems and give quick, effective feedback to developers about whether what they just did affected a customer in a good way. Then management lets developers do what they do as quickly as possible. Alternatives can work, but that is the sweet spot.

The ultimate goal of any software company is to have that one lucky dev who just gets it, builds something amazing quickly and then the company comes in to maintain and milk the product until management miscalculates, destroys it and the cycle starts again. Failing that, the next best option is a product guy who just gets it and organises the engineers to build something that makes customers happy. Neither of those states depends on debate or, curiously, on what the median developer is doing. Software developer productivity is one of the spikiest, most disjointed and chaotic metrics I've ever dealt with and most of the time it appears to be $0/day value add or slightly negative. Then sometimes it spikes to a few million dollars an hour. The culture should all be about working around the spikes, not the day to day.
The author is also responsible for the StringZilla library that includes levenstein distance: https://github.com/ashvardanian/StringZilla
Why would Zeus care? The greek afterlife is a sort of pointless outcome to Pascal's wager so it isn't even worth factoring in.
The particular account in question [1] does enough unrelated stuff to make me believe it's just a patriot who genuinely believes those countries belong to China. Sounds strange until you remember that some people like to start confrontations online for the dumbest reasons.

[1] https://github.com/92hackers
If you want to stick another corporation between all your payments then that is entirely up to you. I don't think it's particularly wise to hope for cash to die out.

An example of a side effects of cashless is that 3%-6% of profit from market stalls at a fair go to credit card companies and payment intermediaries. Bit weird that Visa and Square get a cut of me purchasing some local farmers honey directly from the farmer. But they have to use them else they'd miss out on sales.
Ask HN: How did you know what you wanted in IT?
I'm a 23yr old computer nerd working in software support, a foot in the door. I've been trying my hardest to find my niche in IT. Learning all that I can and where I want my career to point towards, but I'm finding it very difficult.

Furthermore, I think I'm blinded by the fear of AI replacing/assisting a large majority of the industry by the time I'm an experienced professional, and that my years of study in the wrong direction could be somewhat redundant. I'm certain there's no wrong answer as long as you're passionate, but I can't figure out what I'm passionate for.

I know this feels like a newbie question, and I don't want you to tell me that security or cloud is the way to go. I just want to know a bit about why you thought your specialisation was the best choice out of thousands. Folks in my position that love tech and business, what clicked?
> Streets haven't gotten wider since then either.

In proper urban design that's actually a feature. People don't care about the posted speed limit - they probably won't even notice the sign. Instead they drive at the speed which they feel is appropriate for the road.

A lot of the suburban infrastructure in the US was developed around collision safety. This means wide roads and large setbacks, all in order to get rid of anything to collide with. However, this means that a regular residential street now feels extremely safe to drive: it's essentially a highway, so people will drive at highway speeds.

On the other hand, plenty of suburban road infrastructure in Europe has been explicitly designed to feel unsafe. The roads are intentionally made narrow, visibility is poor, and you'll run into plenty of obstacles like chicanes. Although plenty of that is a leftover from the pre-car era, it's nowadays an intentional design decision for new roads even when there is plenty of space. It's physically impossible to drive on those streets at highway speeds, so people are forced to slow down. Anyone with even the vaguest sense of self-preservation will drive a lot slower with a 6-inch clearance to oncoming traffic than with a 6-feet clearance. The lower speeds in turn actually make the roads safer, and make it possible to share them with cyclists and other low-speed traffic.

Fun fact: the narrowest residential street allowed in the US is wider than a highway lane in The Netherlands.
You tell me what the EV landscape would look like today had Tesla not succeeded, and whether that delta is really of equal worth to someone's purportedly painful experiences using a microblogger.
Looking at a map more closely I don't know how much is practical in a canoe, but the answer to up thread is probably however far you can up towards Lake Tahoe then down through Folsom Lake to (most of the way?) to Sacramento then Stockton (or just directly to the bay) and probably to the Bay from there.

Not sure you can do the equivalent further south but it looks like you could do a lot of it that way--at least in theory.
Prosperity is the most powerful propaganda of all.

I think few (non-Chinese) people in the US/Europe really understand the dramatic changes that have happened in the last few decades. I have Chinese family members that grew up under literally starvation conditions, only to grow up to find themselves multimillionaires. When Deng Xiaoping went to Shenzen it was a basically a small fishing village, and he said he would make it prosperous and change China's future. It happened. China went from developing nation to second largest economic power in the world in a life time.

For context I am not Chinese and not a fan of the CCP, but the zealous patriotism of the Chinese is not radically different than the zealous patriotism of American's in the immediate postwar period.

When discussing propaganda with Chinese citizens, it's vital to recognize this first. They aren't brainwashed masses, they are largely people who were told outrageous promises by their government, and in fact government policy really made those things happen.
I can certainly empathize with the farmer's situation and the financial repercussions from an event that clearly isn't their fault at all. It's strange to me though that people think that Apple/Google are _obligated_ to list their business. They're private companies, providing a service to users in exchange for eyeball time. Unless the business is outright paying Apple to be correctly listed/mapped (which I doubt they are), it doesn't seem like they're at all entitled to be listed correctly.

That said, it intuitively feels like they do at least to the farmer from the tone of the article (and similar stories), and to me as well. To me, this means that we're all sort of categorizing such mapping services in the same way that we categorize government services/utilities, and act like we _just for existing_ deserve some form of FRAND treatment from such services.

I wonder if there is some kind of legal framework to be found that could better align how people expect apple/google to interact, with their actual legal obligations towards listed companies (which AFAICT is fuck all).
Realistically this game doesn't compete with anything Nintendo puts out, because they'd never in a million years make a game with a similar gameplay loop (shoot Xmon, catch/kill, put into forced labour, repeat)
They're keeping us a bit longer because the live action One Piece was a gateway drug into the anime, and they have a lot of it on there (just finished watching episode 316 today, a few more and we're done with the Water 7 arc).

But I was ready to cancel for the first time in years before that, as I realize I had barely touched it in almost a year, with the exception of Alice in Borderland and a handful of other things here and there.

Whenever we get through what they have of One Piece I'll probably cancel until season 2 of the live action comes out (or some other show we like comes back, like maybe Squid Game season 2).
China Pulls Draft Gaming Rules from Website
Beijing has quietly pulled the proposed curbs on the video game industry from the official website, weeks after the draft guidelines wiped tens of billions of dollars off the market value of local titans.

The link to the draft rules was no longer accessible as of this morning, Haitong Securities reported earlier on Tuesday. Shares of Tencent and NetEase jumped on the news. “This could possibly indicate that there will be further changes in the new measures,” wrote Haitong analysts in the note, accessed via S&P Global Market Intelligence.
I wonder if anyone has even analysed the carbon footprint of those big fans scrubbing CO2 from the air to find out if/when they'll ever even recover the CO2 spent building them.
Their recommendation algorithm has gone to complete shit. I used to get a stream of good songs I was actually interested in whenever the album I was listening to ended. Now It seems to just play the same 4-5 songs immediately after my album finishes which fills me with an intense rage and has made me hate some songs that I otherwise would enjoy.
That’s 20 million headsets with ~zero to negative profit margin on each sale.

Meta’s investment in VR has been a dumpster fire, but the headset R&D isn’t where the overwhelming majority of that money is going. They’ve done everything from making VR movies to promoting 3rd party games most recently spending 400 million for beat saber’s publisher.
I know this is nuts, but I recently bought a thinkpad x230t from 2012 when my StarBook died after a year, and it is the best laptop I've ever used.
I'm not sure where you live, but cash is certainly no longer king in Tokyo. It's still alive and there are plenty of people that prefer it, but it's used for far less than half the transactions I see everyday. And I'll go months forgetting to refill the just-in-case cash in my wallet and never run into a situation where I would have needed it.
I hope so. Chimpanzees should be replaced with the Orangutans in Malaysia who don't have any trees left to climb.