skysight-inc/HackerNews huggingface dataset:
There is undeniable an F-up on the producers part here, however I think you are assuming too much in your calculation. They don't say at any point the $250k order value was the initial order as they understood it. They explicitly state that they kept getting further orders past what they understood as the initial 6k units.

I think what's happed here is that as the order kept a growing they took on more debt to fulfil it. I don't think they believed the initial order was for $250k and that they were being payed more than wholesale per bag.
ugh, how tedious.

Famous images prevelant in the dataset that are trained against many times and the directly requested are produced as is, because that's litterally what was requested and the model was trained against them.

There's only one way to draw The Mona Lisa. These AI's are not used for this purpose, nor is any of this core to their functioning. And I have to assume you know that.
I don't recall it having a good name back in the late 1970s. A friend who had dinner there while at a conference in the late 1980s said that it was pretty bad.

https://lostmediawiki.com/Ricardo_Montalb%C3%A1n_(lost_Casa_...
Some kind of food really doesn't travel well or needs to be eaten soon after being prepared, and customers frustratingly mentally take it out on the restaurant instead of the delivery platform. The results in a ton of complaints and even lost future customers. These complaints are extra brutal because they might be left on Yelp instead of merely on GrubHub. There are also apparently a ton of cancellations via GrubHub, so the restaurant can end up eating the preparation cost of a bunch of orders. Things can also be super confusing for restaurants that don't have an essentially-permanently fixed menu, because GrubHub will result in a ton of obsolete menu items being ordered by people who then have to talk to the restaurant in frustration. This last bit can be fixed if you pay GrubHub to become a "partner", but now that's a complex business model decision that might simply not make sense for every restaurant.
Go criticism is always focused on the language itself, which is admittedly non-optimal. But it's non-optimal in the direction of missing features. Contrast that with most languages which are non-optimal in the direction of having too many features which are poorly designed.

Go's position on the simplicity vs feature set continuum is perhaps the least interesting reason it's popular. There are a myriad of other reasons for its success:

- It spits out static binaries with minimal fuss.

- The import statement maps strings to symbols. No complicated module system to learn. The strings are resolved to something like URLs, but that's not part of the language. It's very easy to see code on GitHub and import it.

- Packages are just directories.

- No new package namespace with squatters and poor infrastructure. Go packages, in practice, are named with DNS. You know, the namespace that already exists and everything else has standardized on.

- Rejection of complicated version selection. Go almost went down the npm route, there was even an "official experiment" that looked much like other package managers. Then the Go leadership stepped in and sorted things out. https://research.swtch.com/vgo-mvs

Go is set up to be the language of an ecosystem in a way that most other languages are not. If you are a language designer: take Go's import statement, packages, and modules, and just copy them. You aren't going to do better, and you probably weren't trying to innovate in that area anyway.
Rockets landing vertically is the most sci-fi thing ever and has been a staple of science fiction since the early 20th century. I think that's plenty more cool than landing it horizontally.

Anyway, coolness factor doesn't really matter for space. Economical things also tend to end up looking cool over time anyway simply because streamlined designs which are efficient tend to also look cool..
Sure: have clients submit readings that were 'hits' in their own subjective experience, generate several random readings, and present them to professional readers along with the real reading and a description of what actually happened. If the readers can't guess the actual reading above chance, it's a negative result. Of course, you can't get a double blind unless the description is supplied by someone who doesn't know what the original reading was, so it might be a hard experiment to carry off.

But I get the wider point; meaning and facts aren't exactly the same thing.
You're in a particular socioeconomic bubble. Not a bad thing, but it does mean that your circle's norm is not necessarily the norm amongst the population at large.

An example of how the other half lives (so to speak) is provided by people in restaurants who let their kid stay glued to a tablet watching YouTube or playing the Angry Birds du jour, often at blaring volume without headphones, while everybody else eats. Like TV, these tech toys provide easy, cheap babysitting.
There will be very little agreement even on the vocabulary. Define "evidence", "speech", and "free."
Sure, no language is perfect but some things in Go were apparently "to make it simpler", but by lack of them it made the code in the end more complex and/or verbose.

Lack of generics made a lot of code less type-safe than it should, and just more complexity and/or duplication.

Lack of sum types made some types ugly (like mentioned IP type), and other ways of control flow harder. Rust-like Result<T> would be massive improvement to verboseness of error handling in Go for example, without really any drawbacks.
maybe they gave the broker their AMEX to pay not realizing the broker makes their money on commission. heh although that would be an even more inconceivable mistake than the dollar discrepancy.
I think it's more that your perception of FSD has improved over the last 3 or 4 months.

As a non-Tesla driver forced to drive alongside many Teslas on my regular commute (I drive past Hawthorne, i.e., SpaceX), my experience is that FSD/AP has actually gotten worse. Phantom breaking, extreme tailgating, veering across double-yellow lines, right turns that narrowly miss pedestrians...

My coworker has a Tesla and he refuses to engage AP or FSD anymore. He had multiple interventions/disengagements during every drive (in his words: every few miles) and the last one involved his Tesla veering into the opposite lane because it mistook a drainage groove in the road for a lane marker.
What is the way you recommend?
Who gets to define who are the unhelpful fringes? Surely they would never be groups or political leanings I support... That would be bad right?
Came here to post about this seconds after you did.

Not only CALEA, but telecoms, ISPs, and other providers work hand in hand with governments who request data, whether those requests are via NSLs, warrants, subpoenas, court orders or just government employees asking nicely for the data.

Many companies, including for example Apple who is open about this, are happy to hand over private information via simple requests from law enforcement that they are not legally bound to respond to like they are with warrants or subpoenas.

I'd assume by scratching law enforcement's back, the government scratches compliant companies' backs, as well, considering the contracts they get and favorable treatment they get from regulators.
Yes but that doesn’t mean you won’t need new architectures or training methods to get there, or data that doesn’t currently exist. We also don’t know how many neurons / layers we’d need, etc.

The brain itself is infinitely more complex than artificial neural networks. Maybe we don’t need all of what nature does to get there, but we are so many orders of magnitude off its redonk. People talk about number of neurons of the brain as if there’s a 1:1 mapping with an ANN. Real neurons have chemical, physical properties, along with other things probably not yet discovered going on.
Looks great! I see your tool uses Hetzner block volumes for storage. How do you manage your data backups (as Hetzner does not offer anything for their block storage volumes as far as I know).

My current setup is also on Hetzner. 1 master and 3 worker nodes. Managed by Rancher and I use Longhorn (also from Rancher Labs) for storage. It runs stable for two years now. But looking for a simpler solution, so I looked into k3s and k0s last week -- will also look into your tool ;-).
Body-shaming awareness never ever existed in real life, especially in the mind of girls (and even less in teenager girls..)
Get him another laptop, preferably Dell (just because I have great experience with them) so he can install Ubuntu on it and have a linux dev machine. This way he can develop software for linux servers (such as a web app or data science tool) without resorting to Linux subsystem for linux and all the related shenanigans.
Wasn’t that good of book, read it twice.
It depends on what you consider "biased".

If you ask chatGPT whether 2 + 2 is 4 or 5, would you consider it biased if it said that 2 + 2 = 4? If you asked it whether smoking increases or decreases the probability of developping cancer, would you consider it biased if it replied the former, rather than the latter?

Now, if some politicians of any party started saying that they think we should be open minded and don't be dogmatic insisting that 2 + 2 = 4, would that make chatGPT biased, then, if it continues giving the right answer? If they said that smoking is good for your health and increase your chances or living a longer and healthier life, would chatGPT be biased if it continued telling the truth? Are politicians the ones that decide what facts are true or false?

Scientific facts are not biased. Humans can be. Dishonest humans can easily be, for a price. But we should not change the replies of chatGPT about objective facts because of those humans, should we?
that "tradition" goes all the way to C sadly. But hey at least cmdline is short...
The chatbot is there to encourage abandonment.
I have, and they are! I bought their 18x50 image-stabilized binoculars back in 2004, and still use them to this day.

The first number refers to the magnification (18x) and the second is the size (50mm) of each objective lens, or the lens pointed at the object you’re looking at. The larger the objective, the more light they can gather.

At night, your pupil is probably 6-7mm in diameter. The 50mm objective can gather much more light than your unassisted pupils! Those binoculars also weigh over a kilogram, so they’re best for short handheld sessions if you’re standing. If you’re sitting or lying down, you won’t tire as quickly.

They’re wonderful for looking at globular clusters and nebulae, as well as for viewing Saturn or Jupiter; the Galilean moons are easy to spot! For lunar viewing, the stereoscopic view actually feels almost 3D.

Keep in mind, though: most binoculars aren’t specifically designed for astronomical observation. You won’t be able to attach ND filters, polarizers, or emission filters. So your best bet is to use them from dark skies with good “seeing” where you can just lay back and enjoy the view as you scan around trying to do a Messier Marathon. :)

Edit: it does have a standard tripod screw on the bottom, so a monopod with an added trigger-ball grip can make extended observation sessions more comfortable. Many binoculars require a bracket to mount to a monopod/tripod, but image-stabilized binos aren’t hinged; their relatively flat bottom means that larger image-stabilized binos often have a tripod screw.

2nd edit: I tracked ISS across the sky (with the stabilization on) last year, and I could clearly make out its shape.
Python does a great job at putting together powerful scripts quickly. But I have a really hard time opening up a big Python codebase and making sense of it quickly. No static types can make data pretty hard for me to follow. This may just be something I need to improve at, but I have a distinctly better feeling working with unfamiliar code with static types. Python makes me feel I’m at the will of the documenter to be informed, whereas the types self-document in many cases in other langs.
I don’t fully recall. But I believe passwords for Novell where stored in plaintext. With letters incremented and reversed. So getting admin privileges were crazy easy. All the computer people had admin at my high school. Found out a few years later that lots of grades had been changed for many students. School never caught on.
Did mainstream AGI researchers predict something like GPT would exist 15 years ago? I would listen to those who did on their opinion.
Even then, the presence of a next token is just as informative as the absence of another during training. That information also gets backpropagated. And during inference, good luck identifying which weights were responsible for a given next token (assuming we’re using greedy decoding, don’t even get started on beam search) let alone which samples contributed to that weight (hint: they all did).
I don't understand what point you are making. Are you saying that it lacks any reasoning capability because it fails this test? I say try a bunch more tests and then get the average to really have a better sense; one test is meaningless.
This was also discussed in the last day:

Breaking up with Python - https://news.ycombinator.com/item?id=34177703 - Dec 2022 (172 comments)
Caveat Emptor.

AFAIK it's legal. Might be courteous to disclose "no returns accepted" on such listings, but I don't think it's mandatory, at least not everywhere.

Buy with a credit card that offers warranty coverage on purchased items.
in the US yeah. it takes coordinated pressure from the working class to get reasonable-seeming laws like that passed. when we leave our rights to corporate charity, this is what we're left with
looking at some other comments in this thread and also to my experience, it not unnecessary clarification in the large. I'm glad you just were doing some humor. :)
Speaking of stage zero, I have difficulty wrapping my head around how they will test landing. The risk of damaging it seems like it would be quite high the first 20 times or so they try. Interrupting launches to repair damage seems like too large of a penalty.
Why are we linking to a reddit thread when the original tweet is at https://twitter.com/BowTiedIguana/status/1608653434387050496...? The OP of the thread, as in typical reddit fashion, doesn’t properly credit the original author. So pointless.
> So it sounds like they had an initial agreement for 6000 units, but the actual purchase orders were coming in piecemeal.

What difference does that make? They thought they had a deal to sell 6000 "units" for $250,000. If they had just bothered to divide 250 by 6 they would have immediately realized that a unit could not possibly be a bag, and they would, by their own account, have passed on the deal, and none of this would have happened.
What is a tube amp? Why do audiophiles like it “better” than a solid state amp?
Big banks have their hands in everything, no matter how clean or how illicit.

When you literally have nearly 3.4 trillion USD in assets, you're going to spread them as wide as your bankers can get you to spread them. Sometimes this will involve some less-than-ethical actors. Sometimes it will involve legitimate charities or endowments.

No matter what, though, the big bank won't actually get punished for its actions. It's too big to fail, so it's too big to jail, much less actually do anything besides slap it on the wrist. The paid-off politicians made sure of that long ago.

All that said, while it might be hard to track where each dollar of that 3.4 trillion USD is, Jamie Dimon makes 35 million USD a year and just had a 10% raise. If you're making that much money, you should be competent enough to put a team together that can figure out where each dollar actually goes.
Nvidia has a pretty tight stranglehold on deep learning thanks to CUDA.

We really need the forces that be to change this.
it's cruise missiles. "slow" flying. people take them out even with MANPADs and German Gepards. somewhat "easy" target.
If russia were to start shooting ballistic missles, it will be harder.
I'm guessing you're in your 30s, maybe late 20s, this is how most of us grew up. It's not the same anymore.

"Nerd stuff" these days is watching Disney movies and playing games. We taught ourselves nerd stuff because we had to dig to get to the candy inside. These days you don't have to dig, one click install and done, the digging is grinding for loot boxes or whatever. A person can use these machines hours a day every day of the week for years and not learn a single thing about actually operating them, they're kiosks for consumption to most people. To learn real nerd stuff requires deliberate effort now.
My point is that there is socioeconomic theories which were based on the goal of common ownership of all means of production (which in a digital society would often translate to code). I guess all movements that have tried to transition to such societies have failed (thus my comment: they are alternatives, the trick is to make them working). While public domain is (except maybe for government agency) is a model you chose, this is completely different. If we are talking about alternatives to ownership we cannot do this without thinking in political dimensions.
The current AI approach is like a pure function in programming: no side effects, and given the same input you always get the same output. The “usage” and “training” steps are seperate. There is no episodic memory, especially there is no short term memory.

Biological networks that result in conscious “minds” have a ton of loops and are constantly learning. You can essentially cut yourself off from the outside world in something like a sensory deprivation bath and your mind will continue to operate, talking to itself.

No current popular and successful AI/ML approach can do anything like this.
> However, Python is unmatched for developer speed in compute heavy AI / ML since it uses C, etc., under the hood.

John Carmack seems to think otherwise.

> "That means that in the time that Python can perform a single FLOP, an A100 could have chewed through 9.75 million FLOPS"

https://twitter.com/id_aa_carmack/status/1503844580474687493...
> Even what seem like sensible categories like inciting to violence immediately get spun around and we get all sorts of things being called violence in order to try and suit political aims.

Case in point, a scary number of people ascribe to the idea that "silence is violence". So just not saying what they want you to say, is now violence. And since it's violent of course we can now restrict them..
> Does the U.S. consider it to be a provocation too far to equip Ukraine with weapons systems that can strike these Russian missile batteries in Russia?

Maybe. I would not rule out that the real rationale is that limiting the scope of escalation of assistance serves the purpose of giving room to escalate further without crossing some point beyond that which would cross what it actually sees as “too far”.

Also, Ukraine has a (limited) domestic deep strike capability using Tu-141 jet drones converted to cruise missiles, which it has used to strike deep into Russia at strategic bomber bases from which Russia has been launching attacks.

> It is ridiculous that we are tacitly tolerating this war by Russia

I’m not sure I’d describe it that way; while on the one hand we are limiting the kind and scope of assistance to Ukraine, and not directly intervening, the arms lift to Ukraine is pretty much unprecedented in anything post-WWII where we aren’t directly engaged. This doesn’t seem to be “tacit toleration” of Russia’s war.
Sure, but 103% overbooking is EVERY flight. Having reduced carrying capacity because of high temps, high winds, mechanical problems or switching planes is the exception not the rule.
They said "pawed at", which is a phrase for an inelegant bumbling interaction with something. It is not literal. And they also said "like retarded monkeys", not that they are retarded monkeys.
>many, if not more, ridiculous claims on the left…

Can you give a couple examples of scientific nonsense from the left? What exactly about construction is a common belief amongst leftists?

edited for clarity
Cheerful chatbots don’t necessarily improve customer service, but at least they are annoying and time wasting, so there's that.
It's not very obvious but the page is scrollable.
Again, this is not possible unless they were complete morons. At some point they either had some idea of what they were going to be paid, at which point they should have realized that a unit could not possibly be a bag as they were assuming, or they did not, in which case they had no business being in business. There simply is no way to spin this so that this is not 100% their fault.
The author seems to be asking: given how bad Go is, why (sociologically) do people keep using it?

Of course, this only makes sense if you already accept the premise that Go is bad.
I consider Ruby to be quite similar to Python. However, it's kind of like Python's weird brother, with optional parentheses for calls without arguments, auto-returning the result of the last expression, and some odd-ball syntaxes. It manages to be even less efficient, though.
Ha! This is fun. It’s not perfect yet, though. This message would’ve been directed at someone who failed to produce something before a deadline they set themselves:

_
Are you fucking kidding me? You said it was supposed to take a week! What do you expect me to tell the client? When do you think it’ll be ready – for real this time?
_

And this is what your app came up with:

_
I apologize that the timeline did not go as planned. I understand that this delay may have caused issues for you and the client. Could you please provide me with a new timeline or estimated time of completion? Thank you for yourhelp.
_

So it tries to apologize for the mistake of the receiver, which is funny. Also note the missing space. In any case, cool stuff!
Database System Concepts by Silberschatz, Korth and Sudarshan is great.

I used the 5th edition, but have heard the 6th edition apparently regressed. There's now apparently a 7th edition that I can't comment on.
Or they are just fine with the drawbacks and are annoyed by another non-user whining about it.

Yet another whiner complaining about well-known problems that advanced users are aware of doesn't add anything and nothing in this article is new thing to any advanced user.

Especially if the asshole behind article makes the title extra confrontational and aggressive just to piss off people.
Just make sure it doesn't have an Nvidia GPU. Always a gamble with on laptops
Oh yes - Amiga fans were loudly anti-protected memory, Archimedes / RiscOS users poo-poohed preemptive multi-tasking, and Mac owners claimed that neither was necessary.
It's reasonable they could do a chargeback on the basis of violation of implied warranty of fitness.

Edit: it's probably a violation of implied warranty of merchantability.
Stick an arrow at the bottom of the homepage to show there's more information below about the application, or people will think they need to sign in/sign up.
If everyone in Germany agreed the jews should be kicked out and only jews disagreed then by your logic that would mean those jews are just a bunch of racists. I disagree with you and await your list of caveats and exceptions designed to specifically deny white people the ability to stand up for themselves.

Irsaeel doesn’t allow non-jewish immigration. Is that because jews are racist?

Immigration is so bad for white people the only reason to support it is if you personally benefit (understandable) or you hate white people (unacceptable). So which one is it in your case?