skysight-inc/HackerNews huggingface dataset:
> People are not doing their homework, and the herd mentality owns the entire tech industry.

I've seen that, but I've also seen individual engineers and entire departments refuse to move on from what they are using. When they eventually realize they need to change, they are a lot further behind than they were initially, and it takes a lot more work to catch up.

A lot of organizations are getting real value out of Docker (and Kubernetes and NoSQL and React and all of the other trendy new things), and saying that "no one needs it" is just as myopic and wrong as being part of the herd mentality.
I have some experience with Haskell [1], but I'm absolutely lost here. Can someone explain all this dependent-type syntax that's going on there, or would that be out of scope for a single comment?

[1] The biggest Haskell program I wrote until now was a spellchecker as the final project for a university course.
And just this morning I received a text from AT&T that said, in part, "Your privacy comes first, as always."

I wonder if they are getting their definition of privacy from the same place they get their definition of unlimited?
And behind the scenes it was probably the equivalent of flipping a coin between red and white.
It's tough to know just what machine learning covers, includes, consists of. From what I've been able to see, currently in practice, apparently 90+% of machine learning is curve fitting and nearly all of that is some form of classic linear regression.

Linear regression and curve fitting more generally have been around, available, and used going way back in electronic digital computing and well before. E.g., for software we've long had the IBM Scientific Subroutine Package (SSP), SPSS (Statistical Package for the Social Sciences), SAS (Statistical Analysis System), ..., R. There are stacks of polished textbooks in statistics and specialized to some fields, e.g., econometrics, time series analysis, etc. There has been some usage, but headlines have been rare for decades.

But, there's a lot more to applied math than anything much like that curve fitting. E.g., maybe take the learning as the ability to do statistical estimates -- well, there's a lot to statistical estimation than curve fitting.

There's also the field of optimization -- linear programming, integer linear programming, network linear programming, dynamic programming (discrete time, continuous time, deterministic, under uncertainty), quadratic programming, other cases of non-linear programming, and more.

And lot more can be done in applied probability and stochastic processes.

IMHO it would be better progress and description of the current state to discuss both the applications and the solution techniques in more detail.

E.g., the crucial core of my startup is some applied math I derived (with theorems and proofs) based mostly on some advanced pure math prerequisites. I wrote the corresponding software. Then from 50,000 feet up or from the point of view of a user of the work, what I did can look like a machine that learns a lot very quickly, is very smart, and puts out really intelligent stuff. Still, my math is not covered by any of the machine learning I've heard of.

Point: There's a LOT of applied math that can be done and, really, has been done far from current descriptions of machine learning.
Indeed.

Given that they ended up using a rectangular footprint, why not at least include some modifier keys.
Some are that complex. There are commercial systems that can essentially land a plane all by itself, called CAT IIIb. The pilot takes over after the plane is completely on the ground. In the future the planes will probably be able to taxi without the pilot too.

https://en.wikipedia.org/wiki/Autopilot#Autopilot_for_ILS_la...

https://en.wikipedia.org/wiki/Instrument_landing_system#ILS_...
Agree 100%, pay as you go compute has helped us tremendously. A large amount of our time is spent analysing results and interpreting models and the ability to power up and train a new topology without the huge cap-ex is the reason my company is still alive!
Murmure for Gmail
IBM seems to be all in on this "OpenPower" concept.

https://github.com/open-power/docs/blob/master/hostboot/Host...

So it seems like the Power8 initialization process is simply open source, thanks to IBM.
another commenter near the top (with some experience posted), estimating ~$2500/hour. 60grand a day to use hundreds of thousands of cores to learn to play computer games, roughly 1.8mill for 30 days of active learning. It's cool, does seem a little bit greedy, that is still expensive as buck yo. you need a big ol bank to fund you. dropping 60k/day on compute doesnt fly for many smaller companies if you ask me.
It seems like we have an equation with a bunch of variables that are either extremely close to 1 or extremely close to zero. And really, these variables seem to group together into two essential variables, which are either almost 1 or almost 0. And we're trying to figure out whether, when you multiply them together, you get almost 1 or almost 0.

So, what does (almost_1 * almost_0) equal? It requires more knowledge about "almost" than are able to obtain.
> Whilst IBM research might be able to pull it off, it'll never get to market because there is nobody capable of making good products at IBM anymore.

As an ex-IBMer this is so true and so frustrating at the same time. Engineers are thrashed about on a nearly sprintly basis by PM's with short attention spans and no understanding of how disruptive their continuously changing requirements are.

It doesn't help that IBM consistently puts the cart before the horse is even born and pivots multiple teams all at the same time such that nothing you build upon is stable or consistent. Working there was maddening.
Wow, that's quite Kafkaesque. Would be interested to know more about this, if you were willing to explain.

Nonetheless, glad to hear you survived a PIP.
Airdrops don't seem like a complete solution to me. If someone sells a lot of stolen/hacked tokens, it still decreases the value of the airdropped tokens, since there's absolutely no recourse once the stolen ones are converted to something else. The only way to stop a hacked contract from becoming a problem is if every path to liquidity is immediately halted, but I'm not sure its realistic to do that. I'm sure there is always a long tail of exchanges and holders still transacting in the hacked tokens. People are still transacting in ETC, lol.

People not caring is probably just due to the crazy risk and volatility in crypto in general.
I think this follows the axiom, 'If you have to ask...'
True, past performance is no guarantee for future returns. Worth taking a look at the worst market timer of all time.

http://awealthofcommonsense.com/2014/02/worlds-worst-market-...
The mediator is absolutely working for the company. The whole point of this is to retain people who might still provide value to the company, with the idea that it's cheaper to retain an existing employee than to recruit and hire a new one. The process doesn't need to be "fair" from Amazon's perspective if it accomplishes this goal. The main goals for a mediator (again from Amazon's perspective) would be (a) to improve this process (retain more good employees, keep fewer bad ones) by bringing more objectivity and training to bear, and (b) mitigate potential PR downsides by reducing real and perceived conflicts of interest.

I do think a mediator could accomplish these goals. While the conflicts of interest might not be reduced to zero, it's likely that the pool of mediators will have more degrees of separation from the managers and therefore will reduce conflicts. (Whereas the normal employees that are on the jury have to consider the very real implications of their actions if they contradict what an important manager says.)
Uh, are you up to date on what really took place with the FBI this past election? It's looking more and more like federal agencies were weaponized against Trump and that proof of that is seeping out little by little. In fact, it was people within the NSA that blew the whistle.

Presently, there is a war going on between varying factions within the intelligence agencies. That's why you see moves to, for example, place all intelligence gathering activities under US military control and why the Trump Administration has fired those who can be fired. But the media makes it all out to be some kind of heavy-handed political move by Trump. The fact is, there was a coup attempt after the election, at least, that's how I see it.

All that aside, the MIC and the country run by faceless intelligence agents gives me the heebie-jeebies. The US is not what it appears to be, not at all. It is a very dangerous game these people are playing and regular citizens are the pawns.
There are certainly more than a billion PCs in existence. I'm skeptical there are much more than a billion PC users.

Right now it takes about 4 years to sell one billion PCs[1]. Considering that includes business sales, a significant chunk of that includes people with multiple PCs.

Compare that to smartphones, which sell well over a billion per year[2].

[1]: https://www.statista.com/statistics/272595/global-shipments-...

[2]: https://www.investopedia.com/news/smartphone-sales-be-flat-y...
Once the pilot is ejected, the autopilot doesn't need to concern himself with human G limitations. That could be useful for drastic recovery maneuvers.
Deepmind has at least one example of saving Google millions: https://deepmind.com/blog/deepmind-ai-reduces-google-data-ce...
Yes, I think you have this exactly right. We've dodged the bullet for a few hundred years, which our brains are predisposed to think of as a long time. Then we (well, not all of us, but enough of us to matter) (mis-)apply inductive reasoning and conclude that because doomsday predictions have always been wrong in the past they will continue to be wrong in the future.

In fact, you can sum up the problem as a pithy slogan: Doomsday predictions are always wrong. Until they aren't.

Someone should make T-shirts.
Already debunked a few days ago on HN...
This is a really cool and refreshing idea on paper, but in reality it fails miserably. If one chooses the three nonmanager workers to be on the jury, they can lean towards the "support the working man" idealogy and strongly favor retaining worker jobs. On the other hand, managers might tend to favor corporate interests, and be more likely to reject appeals. The article mentioned that these employees who appeal can look at lists of potential jury people for them so they can select who would best sympathize with them. Employees literally get to select which bias' they want in their jury lineup.

Not to mention the vast resource cost of these programs. Amazon has hundreds of thousands of employees, what if every single employee that was set to be fired made an appeal? How many thousands of man hours would that chew up?

Lastly, and probably the most important is that lasting tension with boss figures. If an employee challenges a boss and they win, that boss is going to forever have a grudge against them. I'd think that could be fixed by if you win an appeal, you are automatically transferred under a new boss that isn't allowed to view your previous work history at the company.

Again this is good in theory, but changes would need to be made for this to be an effective system. Bravo on Amazon for installing this type of plan though. As much hate as Amazon gets for running what are basically sweat shops in their warehouses(I know, I've been in them, it's soul crushing), at least they are in some small part giving employees a voice. Then again, this could be a rigged system for all we know and it's just to save face.
Both the "react-scroll-shadow" link on the left of the demo and the github cat link to https://github.com/zzarcon/react-circle
that it will allow better and cheaper care.

That will happen, but you have to think 20 year plans, not 5 year plans.
That's called experience. This is the reason why senior developers are normally paid more and make the important decisions.

And what the article tells is that you should actually get interested in what you are doing, if you want to become experienced and not just old. That should be common sense, but I guess it is worth repeating from time to time.

However, if you don't have 30 years of experience, ranging from coding on a C64 to modern JS frameworks, the Lindy effect (older technology tends to stay longer) is a good shortcut.
Fusion requires lots of time, or a few miracles.

Renewable storage and transmission requires some breakthroughs. Maybe we could do it Soon, maybe in decades.

Fission requires political will, no miracles, no breakthroughs. We could have been doing it last year.
Definitely reduces the problem excessively, even inside the game itself they have a big list of restrictions for items and heroes.

It makes sense to solve this easier problem first as there will be more headlines faster
It's a real shame there is no modern and open equivalent filesystem. Instead you get your choice between legally encumbered exFAT, legally encumbered NTFS, and a bunch of unix filesystems where permissions screw up the universal R/W.
This is one reason we (FaunaDB) offer on-premise as well as managed cloud options. So you can run the database on any machines you want. When ease-of-use matters most, small scale apps are cheaper on cloud. With high transaction volumes, you can pre-purchase cloud capacity or run on your own iron.
> There is a lot wrong with IQ as a metric.

This.

IIRC, the concept of IQ originated as the ratio between the individual's intelligence, evaluated through some way such as standardized test scores, and the average test score for individuals within a statistically representative group that reflects the individual's profile (for example, people of a certain age). The mere fact that the IQ is calculated as the ratio of two meaningless values used to reflect an intangible and subjective concept is enough to cast serious doubts about the accuracy of this particular test.
I think the opposite, actually. It strikes me that Nintendo is aware that the value that comes from a video game is very different than something like a comic book or film. I think a video game is something that you express yourself into, and in turn receive a response. It's why the higher-ups felt confident about Breath of the Wild once they felt that the interaction of tree-climbing felt good.[1]

A big-budget television series would push something like The Legend of Zelda into something that it's not, and likely cheapen the brand. By investing and shipping something fresh and well-crafted at a slower clip, Nintendo can ensure that its IP keeps its strength over time.

[1] https://kotaku.com/when-miyamoto-first-played-zelda-breath-o...
In fact the majority of people who actually do ML/DL or Applied AI in other forms think this way by default.

As usual, Ben Evans backs into the standard understanding from the experts in the field as though it's revelation.
Worldview as Competitive Advantage in VC
I'm not at all convinced that reams and reams of shell scripts to deploy complex applications is a good idea. But by all means go for it if you think that is the way to go.
I'm not so sure. It sounds like in these cases the company feels it had the right to terminate but is willing to admit the bus might be wrong.

I think the mediators would actually have to show that they saved the jobs of some valuable employees from getting fired to get continued business.

If they have a 90+% company win rate then the experiment probably isn't productive.
Spotting Image Manipulation with AI
Link to the project? The name is not very googlable...
How we modernized our front-end architecture
Your scientists were so preoccupied with whether or not they could that they never stopped to think if they should.
What are other killer applications of deep learning rather than CV and gameplaying?
When I went to start streaming the world cup, AT&T took the initiative to "sign me in" to a third party (Fox) without asking for credentials or permission.

They know who you are. They know everywhere you go. And they are happy to spread what they know about you around.
Not an expert, but in military planes there are systems which kick in exactly when the plane is outside it's normal regime.

Auto-GCAS Saves Unconscious F-16 Pilot:
https://www.youtube.com/watch?v=WkZGL7RQBVw
Ask HN: Advice on where to incorporate a SaaS startup, we can't in our country
We are building a SaaS targeted to European companies. We are based in a latin american country where the exports of services is treated the same as the export of, for example, a container full of apples: For each SaaS subscription over a $1,000 we sell, we need pay a customs agent a fee (starting at ~$150). Also we would like to use Stripe and their broad range of european payment methods, and Stripe is not offered in our country.

As incorporating in our home country is not an option, we are looking for a place to incorporate.

We can incorporate a company in Europe, to be "closer" to our customers. Ireland seems a good option as they speak English, and they will stick to the European Union. There are some tax advantages as well, but I don't expect to see much profits anytime soon. In the other hand, for non-EU residents, they require to buy a $1,000/year insurance (plus the registered office fee, the company secretary fee, etc) and there are not many resources and tools on how to operate your irish company. I fear that I will have to hire a lawyer or an accountant for even the smallest question. Also it looks like that I need to fly from my country to Ireland to open the bank account.

The other alternative is to set up a Delaware C Corp or LLC. There are plenty of resources and tools to help you run your business and there are services (Stripe Atlas, Gusto) that makes it easy to start and even get a US bank account. Also, if everything's goes well, we may look for US investors and I guess it is easier for them to invest in a well-know structure, such as a DE C Corp. On the other hand, it seems odd to have a Latin American-based US company selling to Europe.

We are talking to lawyers to sort this out. But it would be very helpful to know your experience and opinions as fellow entrepreneurs and investors.
It is inevitable that the first sentence will itself become false. As things go forward the ISA will be open source but the cores themselves will cease to be.
Or just charge higher rates for those who want to pay for an electric, eco-friendly option. This would be simpler and more palatable for consumers, rather than some complex charging time payback scheme.
Ion temperature is the important metric because it is ions that do the fusion, not electrons.

The sun has immense gravity and mass that produce very high pressures which permit fusion at 'low' temperatures. Maintaining high plasma pressure is difficult on Earth, so higher temperatures are used.

Temperature is fairly well understood as simply the average kinetic energy of the particles of whatever you're measuring. For more nuance, start here: https://en.wikipedia.org/wiki/Temperature#Theoretical_founda...
I learnt about GraphQL and have started to use it instead of REST. I am liking it a lot.
> This works well for IBM generally (the products are shit) but especially well for Watson because it's extremely easy to sell AI without getting bogged down in details.

The cynic in me says that every use of the term AI in any capacity is to sell experience and not functionality. When was the last time you used a product billed as 'AI' and thought 'wow, this is a huge game changer'? Siri is cool, but it's ultimately not super useful. Google translate is incredible, but it can only do what it can do because of the absolutely mind-boggling amount of training data that google can access. Most disciplines have the problem of not enough data, despite what 'big-data' folks say. In contrast, humans can extrapolate and make reliable predictions about the future based on really small sample sizes. We can pick up a new skill or recognize a new pattern with a high degree of accuracy really effing fast compared to a computer. This gives humans an enormous advantage. If IBM and anyone else in this space were really focused on delivering excellent real-world results, step 0 is building out world-class data integration and search tools (which we still actually suck at, weirdly.)
It's not a game. Suicide rates will go up. People in their late 40s are going to get laid off and have a hard time finding equivalent work ever again. There are a lot of people straining themselves to buy a home at this exact moment. Kids graduating with record student debt, thinking they did everything they were supposed to do, will find themselves in an even softer economy. And all of this will happen during a 4 year assault on our social safety nets.
There is a difference between learning a system and getting stuck on some configuration detail. It's very frustrating when you want to understand a system and you're stuck with some error which is not your fault, but it's some bug in the new technology and instead of learning the technology you spend time with hunting some configuration bug.

That won't help you learning the technology, because that bug will be fixed in some configuration script and later users won't even encounter it, because the tooling will generate the proper scripts for the first time. So it's often not that kind of knowledge which proves to be useful later, but some implementation detail which you won't ever encounter again.
congrats....but is it healthy to lose 100lb in 276 days? what does that do to your liver?
>"The pain27 is an open source keyboard project to make an easily usable, yet completely and utterly unusable qwerty keyboard with all the letters of the english alphabet, a spacebar, and nothing else"
noble but futile
It was totally rule-based. More complex systems had a little more probabilistic stuff via Bayes and "certainty factors", but not this one.

I worked on another one for this company called Vibration Advisor which diagnosed odd noises in GM cars.
Reminds me of a similar incident in Norway, caught on tape: https://www.youtube.com/watch?v=Ho8o92Ro-Ig

Some CS students even made a game based on the hilarious video, where you play as the moose and must eat apples while defending against incoming lawnmowers: https://joelspeanuts.itch.io/elgspillet
Moviepass seemed like a great value to me, however I never got around to actually getting the pass. I usually just go to the matinee by myself in the afternoon and it's pretty cheap that way. But just once or twice a month.

Moviepass at $120/y breaks even with that and so would actually entice me to see more movies and maybe even actually get some concessions from time to time.
GP is saying that since there is no license, the code is copyrighted and there is no allowable use anyone could put it to. Therefore, since you own the copyright, and did not license the code to a third party, you could have the app using your code taken down from the App Store.

In contrast, if you had put an open source license on it, then anyone would be well within their rights (assuming the license allows it) to compile and release a version to whatever app store they want.
The DOW is a very poor indicator of the economy, it's just 30 "chosen" companies that somehow represent the whole US market. You're talking about precision and you use one of the most derided economic metrics.
You can acknowledge the feelings of your partner and yourself without making those feelings the fuel of the argument. In my own experience, acknowledging my partner's feelings makes me immediately calmer, more-grounded, and better able to understand her POV. I imagine it works the same for most people.

If you're with someone you trust, you inherently respect his/her POV. For some, this causes disagreements to boil into violent outrages. They feel an attack on that trust. For others, they take a step back and say, 'This is someone I trust with my life. Either he/she or I am missing something somewhere.'