skysight-inc/HackerNews huggingface dataset:
I know a lot of expats living in Berlin who are all impressed by the public transport. Granted, they are mostly not from Europe and I personally also prefer to take the bike whenever I can, but it's far from "notoriously bad".
Yeah, right? Considering they were about to buy Greece[0] at some point, one would assume that they would hand more budget for something that potentially saves their own business.

[0]: https://www.independent.co.uk/news/business/news/should-appl...
That's actually a pretty good point. I vehemently dislike commuting in traffic, so I organize my home and work locations/flexibility to avoid it. Adding Uber as an option would potentially give me additional flexibility on the home/work front.
> why won't everyone migrate to Vulkan compute shaders?

1. No libraries. cudnn, cublas, cufft, are all the fastest available (except maybe magma sometimes), plus no one writing an actual application wants to reinvent a fast gemm. Also cutlass, cub, thrust, ...

2. No c++. The "standard" seems to be glsl, and a "prototype" opencl c -> spir-v compiler doesn't give me much confidence in that approach.

3. No one wants to use vulkan apis directly, and there are approximately 5 billion different "vulkan compute" wrapper utility libraries. i.e. No consistent platform.
On the +J+
What Did Node.js Provide That Rails Didn't?
So, do you think calculus, physics, type theory, etc are all things that should be taught and studied, yet ethics is not? Do you think that unlike the former subjects, the latter is just something that everyone knows?
Can people please stop posting about posits, every post about them dramatically misrepresents what they can represent while under present ieee754, and makes performance claims based on non like-for-like tests.

They all also seem to just point back to papers and articles written by the inventor.
>This is ridiculous.

It's not ridiculous. I was taught about the carbon cycle, greenhouse gasses, and climate change in a United States public high school in 1993. 26 years ago.

>Meanwhile let's ignore that society, globally, has advanced - technologically and socially - on the back of petroleum fuel.

Sure, but society has provided massive subsidies (both direct and indirect) to carbon-based fuels. Had we not provided those subsidies, society would be much better off.
Look forward to it. Please do submit to HN if you ever do another interview diving into the details!
The norwegian diplomat baron Fritz Wedel Jarlsberg, managed to make Svalbard Norwegian territory during the ongoing peace negotiations in Paris after world war 1. It is rumoured that the french diplomat leading the negotitations was Fritz’ secret lover.
We had a required ethics course at my college.
Who would have thought that scammy app does scammy things?

That things like ccleaner aren’t flagged as malware at this point is disheartening (much like the perennial antivirus, etc apps on the iOS App Store)
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> Lots of propaganda on here against Brave for some reason.

I think the same reason some people find Google's advertising-based business model problematic, they find Brave's advertising-based business model problematic.
How much of that is merely due to students interviewing at more places and thus getting multiple good offers though?
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> A taxi driver can exhibit the same bad behaviour for decades and suffer no consequences

We take taxis quite seriously in England. They are granted licences from the local government (the council). They are overseen by Licensing Officers.

I've only reported a taxi driver once (I can't recall exactly what for, but it wasn't anything too egregious), but it seemed like a swift and thorough investigation. They quicky summoned the driver to their office to explain himself and then gave me a report on the matter.

Customer input seemed to be taken quite seriously.

However, it seems the licensing framework does seem centred around drivers' criminal convictions, so the police would have to be involved in serious matters.
They could also invest as much time investigating militias as they do mosques - hell militias are more intrinsically dangerous than any mosque
You misunderstand my point.

OO was the dominant paradigm in the 1990s and 2000s, and legacy COBOL, C, etc. code still existed back then. Legacy code will continue to exist as the industry moves away from OO. New languages and frameworks are taking inspiration from FP: Typescript, React, Scala, Swift, and Rust are all examples. Even Java is moving in this direction.

In the same way the majority of OO programs were not written in Smalltalk but instead in C++ (C with OO bolted on) or Java, FP programs won't be written in Haskell, but in languages that bridge the old and the new.

The key idea of FP is static understanding of code. This drives everything else: "pure" functions, types, composition, etc. FP is not against effects and mutability. It's against uses of effects and mutability that make reasoning hard. Rust (affine types) shows you can have mutation will retaining reasoning about code.
I really loved this article. The way it was written was just beautiful.
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My only real regret from reading Discworld was not keeping a set of notes of memorable quotes/thoughts.
But if you can get hundreds or thousands of people to use the same tricks as you, then you may be able to blend in with that group.

It's like the scenarios that weren't explored in the https://xkcd.com/1105/ strip: yeah, if it's just one guy with the 1lIl11l license plate, it might attract police attention, but if the guy collaborated with ten others who got similar license plates for similar-looking cars, then that could work to confuse and divert the police.
Thank you for explaining that for him.

It's a shame how far some are from God.
The demo site (https://naresh1318.com/) doesn't work without javascript loaded from CDNs, it just renders some empty (moustache?) templates.

Is over complicating simple web pages the impression you want to send?
Yeah there is nothing in those videos. Absolutely nothing even looking at the waveforms just white noise, clicking, him(?) talking. Trump, Obama, Dorsey aren't in any of these videos and if they were why in the hell are they videos and not just the parts with them talking?

What a waste of time. The dude needs mental help there isn't anything there. If there is it's unconvincing going through 20 of these.

However there was the few of him getting evicted that were real.
Ideally your city would have a reliable public transit system to its airport.. I always take Bart to SFO, it's a lot more dependable than any car / shuttle service which is subject to traffic.
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I'm sure there are a few back doors as well.
Please, explain why then? That really doesn’t make sense to me. If someone setup their personal blog/website it’s something they do in their free time. Using the default template is a good way to spend their limited time on what matters, the actual content, instead of creating something that random people will find or not “personal looking enough to be worthy of the job position”.

You get zero signal from the fact that someone decided to use a default template.
> > Do consumers want a ruined planet?

> After seeing the absolutely bonkers car culture that America has, then yes.

The planet is a lot more than just America.
I doubt that the amount of new information and thus potential monetary vlue they gather from face recognition technology is worth a real lot. It is relatively expensive (in compute power/infrastructure) and will not uncover previously hidden/unknown links in the social graph as the people in such photograph probably already were friends (within a few degrees).

As a means to increase user engagement (who then will volunteer more information by posting, liking and clicking around, especially on ads), I'd guess the same, that this also doesn't add much.

What's more, it's not just a one time fine. It's an order to stop certain actions. If they do not comply, then they will get fined again and again.
In my experience business ethics courses encourage behavior that is a far cry from what the rest of us would consider ethical — effectively boiling down to “generating the most value for shareholders”.
In 1954 novel 'Lord of the Flies', the stupid carnage didn't stop until an adult set foot on the island. Where are those adults today?
I don't think USB-C offers enough power for many appliances. 100W is just not enough for a toaster or a vacuum cleaner. A big TV probably also uses more than 100W. So you could only use it for electronics.

Also, the lower voltage means you need more current to deliver the same power, which in turn means you need thicker wires.

Also, since USB-PD can negotiate the voltage, each USB-C outlet needs its own regulator, and you can't use a shared 20V line for multiple outlets.

So the best way to implement something like that would be to stay with the 110V or 220V system, and just install USB-C power supplies that are hidden in the wall, like they already exist for USB A, eg [1]

[1]: https://www.elektro.net/wp-content/uploads/2013/12/Elektro+_...
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Forget about unsecured debt - if a parent wants to give their child $100,000 there is no way to do that without paying taxes (or spreading it out over many years).

If they could simply "loan" their child $100k (with no intention to ever get paid back), then forgive the debt tax-free, they'd have successfully gotten around the gift tax.

The same thing could be potentially be used by an employer: instead of paying wages, they could just "loan" (again, not intending to be paid back) their employee money, then forgive the debt tax-free.
The difference is in how the output is evaluated.

An ML model is evaluated empirically. You compare to real world results and get an accuracy measure. An ML models tells you what something should be. And if it’s a good model, you will get a pretty high frequency of that model telling you what the thing is.

Statistics does something entirely different. It tells you what something could be.

If you flip a coin, an ML model will tell you if it’s heads or tails. Statistics will tell you how often it will be heads or tails.

Another way to think about it is the difference between probability and likelihood.

Probability is measured by your theoretical priors and hypotheses. Likelihood is measured by the results of actual trials.

The probability of a fair coin landing on heads is .5

But the likelihood of that happening isn’t actually .5 because pure frequentist probabilities depend on some fundamentally problematic things. Like a performative infinite number of trials.

The actual line between ML and statistics is really blurry because all useful statistical models are at least a little Bayesian. Priors get updated with each trial. This is essentially machine learning.

Outside of mostly bad/soft sciences (sociology, psychology, neuroscience, nutrition, and climatology are all pretty godawful about abusing classical statistics) pure frequentist statistics don’t get used much because they are really only useful for getting papers published and generating squawking headlines.

Most useful statistical methods are machine learning methods. Specifically, they are applied Bayesian methods with weak, randomized priors. Which is exactly what ML is.

I sound like I hate statistics. I don’t really. ML models can do a bunch of wacky things. There isn’t a coherent theory behind an ML model. You could point a very good classifier at your wife, and it might tell you [(bird,.1), (apple,.3), (woman,.9)]

That’s not a realistic interpretation of what could be. It just happened to get that correct.

A really excellent ML model in 2016 could’ve given the following result for president [(trump,.8), (obama,.6), (rock,.5)]. And after the fact when we can compare it to what happened, it would seem accurate.

But that doesn’t tell us the range of possibilities in our future. The reality in 2016 was that we weren’t going to elect a fucking rock as president. There was no chance of that. There is zero chance that if I point my camera at my girlfriend, she might actually be a potato. Yeah, the ML model might be right because it has guessed right, and that’s often all we care about.

But if I need to know what my chances are of my girlfriend becoming my wife or the mother of my children. That’s where we need statistics. An ML model can’t have those kinds of priors baked in unless you force it. And if you do that you’re just paying someone to do some really expensive Bayesian regression.
This is true. https://en.m.wikipedia.org/wiki/State_defense_force
How much do they charge for this? I looked on their web site but when you select that option they say:

'Sorry, you will need to contact sales to order an 07 mobile number at this time.'
> [Social norms have] ... become (and pardon the crudeness) just another societal dick-measuring contest ... It's fascinating. Watching societal norms take hold.

It is fascinating, but these norms are crucial to meeting and interacting with new people. Even if you disagree with some social norms, if you don't understand them and the positions behind them, then you can't effectively communicate with new people you interact with. Saying, "you heard X today, total BS" is far superior than saying "what is X?"

Social norms allow folks who have never met to still know each other to some degree. They are not terribly helpful with building meaningful relationships (eg close friends, etc), which is why so many dislike them as they seem superficial, which they are. However, they are instrumental in building early relationships and trust with someone who is unfamiliar.

If you think of norms more as a tool to help you connect with folks that would otherwise be strangers, and less as a "dick-measure contest", they seem lest distasteful, even beneficial.
it’s pretty damn cheap still though in SF. I think Uber will be just fine.
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The argument to me centers around the same terrible "but do it on a computer" sentiment that's been brandished to outlaw things that would otherwise be perfectly legal in meatspace. But something about doing normal things electronically is scary, and since it's easy to ban, that's the hammer we have.

Other examples include:

* Trading card game booster packs vs. video game loot boxes

* Taking notes about people who visit your physical store vs. taking notes about people who browse to your website

That said - I do realize I'm in the minority opinion here re: GDPR, etc. But the inconsistency really disturbs me, I don't agree with a ban on facial recognition: who is to tell someone what they can and can't do with a bucket of bits? What about other automated recognition for content moderation - surely automatically detecting nudity is OK by the law? But what if those recognition models wind up doing some form of emergent facial recognition via unsupervised learning? How could someone even verify that?
In my country we tried this "government could determine the maximum price for (some category) everything" and it ended up with tons of dead people. Not even Germany with their socialized Healthcare does that, why would the US do?
Very very little. Paying a couple of quid a month I think. Yes, you'll need to contact sales, but also you can port your existing number in.
On Android you need to give it the READ_PHONE_STATE permission.
This comes up every time San Francisco is mentioned...
AMD EPYC processors come to Google, and to Google Cloud
> Have you compared [Google Cloud] with DO's Kubernetes UI and support? Is DO really worse in that area?

Nope, wish I had time to devote to such a comparison. Would love to see an article.
Nonsense, compared to other cities such as London, almost any city in the US, etc. public transport here is awesome. There is a dense network of buses, trams, underground, and commuter rail. Service is frequent and reliable.

Anyway, this is a (tiny) start but it won't do much else than move the congestion a few blocks. I'd be in favor of much more aggressive measures. Simply making parking a lot more expensive will help discourage people using their cars inside the city. Some people actually commute by car inside the downtown area. This is not a thing in most normal cities these days.
Verdana has great number designs. Each is very distinct and readable. Especially when large like how IKEA used it.
Terrible nutrition though, most def not how to run your body optimally.

Freeganing can save you bank.

Hit up the nicer grocery stores: Whole Foods, Trader Joes, Lunardi's, Nob Hill. Find out their schedules for throwing away perfectly good food because the arbitrary/conservative date on it "expired." One of my friends frequently scores expensive cuts of filet mignon steaks that they just toss (I'm vegetarian when it would increase demand for animal ag).

You don't need to waste time pretending to be interested in Meetups.

Also, if you go in the back of Starbucks and other chains that serve food, maybe an hour before closing time, you can score healthy vittles. (The give my friend all the black bean burritos and chicken salads he can carry.)

Personally, I'd be worried about eating fruit from trees in dense urban areas or near highways due to pollution and also pollution from landscape management (i.e., pesticides).
All while you're the "no wizard" ;)
promotional pricing in the beginning is a very common technique to increase market share.

This is particularly important for industries with large network effects like ridesharing.
S-Bahn means Schnellbahn, not Straßenbahn - so it's probably not ironic.
Governments Censor the Internet in Real Life: Analyzing Blocking Mechanisms
Like all laws there should be some context. But I guess you’re right it’s an easy loophole to exploit and the simpler the tax law the better.
Lol. This is so true unless the string is limited to fixed length encodings only, ie ASCII.
To put this in perspective: The plan is to do this for a single weekend.

And maybe even more putting it in perspective: Berlin's senator of traffic and environment has announced a lot of things regarding "traffic change", new bicycle paths etc. But there's a really huge gap between announcements and what's really happening.
> A smartphone needs to know what battery it has when you plug in your newly replaced battery to charge it for the very first time to ensure it doesn’t become a fire or safety hazard.

This is just plain silly, even Apple's current implementation doesn't prevent it charging the battery even if you plugged a garbage one in. Indeed they have the very same luxury of monitoring many charge cycles.

Immediately rejecting the battery and refusing to charge doesn't seem to be an implementation any phone manufacturer today has chosen.
I have trouble with the notion that a single class during tertiary studies is what will make the difference between ethical or unethical behaviour.

Ethical behaviour is - or should be - learned and refined over a lifetime, via parents, peers, all levels of education, employers, wider society and one's own contemplation.

I'm suspicious of the inclusion of ethics classes in MBA courses, given the kind of work many MBAs end up doing. I suspect it can create a mindset in which anything you convince yourself is OK according to what you learned in your ethics class is acceptable, which is a very weak and inconsistent standard.

To be clear, I'm fully supportive of the idea that engineers and everyone else in tech companies should behave ethically. I'm just not sure ethics classes will achieve that outcome.

If engineers, or any employees, are behaving unethically, it's because there's a misalignment between the employee's own short-term incentives (i.e., keeping their job, getting a promotion/raise), and societally-beneficial objectives. It'll take more than an ethics class to fix that.
> machine learning is a powerful way to get pretty good results on a lot of problem spaces without having to understand the probability function involved

The NFL theorems essentially state that for every dataset on which an algorithm generalizes well, there is another on which it generalizes poorly. So, there are always implicit biases, even for a random forest model (eg: if you try to model Boolean functions with a random forest, those functions which can be approximated effectively with few trees will form a set of very small measure. Specifically, it is my intuition that those which have many terms in the sum of products form might need many trees to approximate). It then becomes a question of whether the bias of your models are compatible with the dataset/domain under consideration.

See this Minsky-Sussman koan: http://www.catb.org/jargon/html/koans.html#id3141241

> Both statistical and ML models suffer from the problem you're stating.

And that is precisely why I don’t see how ML algorithms are “more powerful” than statistics in any way, as per your claim.
IMHO the content matters way more than the form. And your website is empty, so I would focus on this instead of the rainbow text (which is just a bit too fast to be distracting).
Even if Canada is not likely to become an enemy, their metal industry could dissipate due to any number of other causes (just like how ours has dissipated). It's like using software dependencies - in the long term it can be better to cultivate your in-house engineers and their packages even when popular well-maintained libraries are out there.
But if you replace the battery with one from the Apple store it'll still say the battery needs replaced right? That's the issue - even with a new OEM battery. Only Apple can replace it and get rid of that message.
> Well incorrectly according to whom?

You know, this sounds like a good topic for an ethics course.
The fee would have to increase exponentially, and that still probably wouldn't work.
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I would not focus on trying to replace SAP (which, to be honest, is nearly impossible for a startup) but to find ways to improve it or profit from its ecosystem.

For example, Celonis is a German startup with a >1BN€ valuation that started by mining business processes from SAP systems to tell their customers how they could improve their practices and save money. SAP could've done this themselves of course but they ignored this market entirely, giving Celonis a chance to grab it (now they're partnering with them). I'm sure there are many other areas where you can create tremendous business value from the data in SAP, which SAP doesn't pursue due to them being too "niche" for them or due to ignorance. So I'd say find one of these cases and build an MVP around it, which is more realistic than writing a full-blown ERP anyway given your probably constrained resources.
Autonomous vehicles replace the drivers, not Uber.

The vehicles get told to go from point A to point B and does safely and effectively. Uber still plays the role of interacting with the customers, "booking" a car for them, collecting payments, etc.
Or in Berlin eating a Big Mac.

Now let’s go back to the system admin dungeon stereotype.
I imagine that a remote exploit should be pretty easy to demonstrate without giving away how you did it?
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New generation bad my generation good! The world's gonna end when those kids grow up.