skysight-inc/HackerNews huggingface dataset:
This is one of those situations that makes me wonder at how obvious the right way to go is, and how unlikely that is to happen. Offense/defense costs are not even close to being symmetrical, it is insane that the USG would advance the state of the art in electronic warfare - while not even pretending to try and match the effort in defense. This is why we abandoned our biological weapons program, we were effectively developing the technology for incredibly cheap weapons of mass destruction that any banana republic could mimic... not unlike the rootkit leaks.
I am not assuming.

I spent several years working in A/B testing. Based on behavior, none of the artistic branding made any difference to whether users got engaged in sites. Make the site fast. Put your action items in prominent places on the page. Make them big and obvious. Make the site usable. Make it easy for people to get to what they want. Those things mattered again and again. But pretty aesthetics? Never once have I seen it matter.

Want to piss off a designer? Subject the designs to an A/B test. Want to really piss off a designer? Show the resulting null result to the designer afterwards.

As far as I am concerned, anyone focused on the look and feel of webpages serves the purpose of making the people who own and run the site happy. If they talk about what the users want, I have to ask what testing they have done with actual users. If they can't produce tests, then I conclude that they are spouting BS.

If this does not sound possible to you, I would suggest that you explain the enduring popularity of minimalist websites like craigslist, plentyoffish and google.
"Just imagine, though, what would have happened if his new religion had caught on: perhaps today we would mention Atenism in the same breath as other great monotheistic faiths such as Christianity, Judaism and Islam."

There are theories that Akhenaten was the inspiration for Jewish monotheism. Israelite slaves in Egypt picked up the new idea, then migrated under Moses to the Promised Land, while reinterpreting or suppressing their previous polytheistic Abrahamic origins.

For example, the Ten Commandments from that migration are just a few trivial and obvious rules for communal life, together with fanatical paranoid proscriptions about worshipping other Gods. Why the stress on the one God if it was a long established fact of life? Sounds much more like enforcement of the new exclusive monotheistic doctrine.
FAANG companies have a very obvious interest in a net neutrality resolution. The ubiquity of the coverage of this particular bit of regulation is the FAANG companies flexing their PR muscle.
Alphabet (and not Google) is actually trying to be like berkshire hathaway - conglomerate holding company (at least according to Eric Schmidt)
> Imagine how effective an intelligence campaign would be against, say, Iran, if the NSA went to Microsoft, disclosed a vuln, and then told them to patch the vuln ONLY in specific markets.

While that approach might be effective, the long-term result could be increased distrust of American software companies by other countries, depending on how it's done.

I think the primary problems are structural: that (a) a single agency has to act as both red and blue teams, (b) the red team lacks enough oversight to ensure it respects rule of law and civilian civil rights, and (c) the blue team isn't authorized to disclose all its known vulnerabilities to software vendors.
No, it does not. These animals fully wake up when they actually have to act.
So wait? Ancient people carried valuable things through those enormously inconvenient tiny little holes and then created small hoards deep in the caves?

Was there maybe an easier route that has fallen away through the centuries and this is what's left?

Or was there perhaps a religious belief here because honestly, if you were trying to hide things, burying stuff sounds just as effective and quite a bit less dangerous.
It's all down to CJK. Originally they allocated 21k codepoints to CJK, and if that was accurate then 16 bits would pretty much fit things.

But we currently have 88k CJK characters assigned out of possibly more than 100k total.

I can't easily find anything about how this went wrong and they got such a small number.
>He’s defensive when I ask how he got the phones.

>“Well, I didn’t steal any device. I actually paid for them,”

Sounds like the "it fell off a truck" excuse.
> it’s not super obvious what to do when the keys are equal

d1 | d2 | d3 | ...

is equivalent to:

{**d1, **d2, **d3, ...}
Do you think this privacy-oriented platform will be free?

I think it'll be: free Facebook is old Facebook (we will own your data) .. profit-Facebook is new Facebook (pay us to keep your secrets) ...
Three Levels of Controversy over MMT
Klein on Academic Groupthink
Indiana used to have safety inspections, scrapped several decades ago.

Part of the reason is probably that cars (even in rust prone areas) don't rust nearly as quickly as they used to, and everything else on the vehicle, e.g. tires, brakes, suspension are much better and (in the case of suspension components at least) require much less regular maintenance. There's just no low-hanging fruit any more. GP is right, resources are better spent elsewhere.
How about "Spit on this sensor to see your checking account balance"?
Friendly comment: at the beginning of section 4 there's this sum:

1
∑(y_true - y_pred)^2
i=1

There's no 'i' in the sum, should probably be y_true_i - y_pred_i.
>the NSA has also abused their mandate a bit by spying on Americans

The largest share of the data they collect is about Americans. This is done without legitimate, meaningful oversight or probable cause. Most of their measurable activity is illegal and violates the rights of Americans. The difference between data collection in the PRC and in the USA is that the USA hasn't extensively acted on this information against its own citizens so far.

This overall tone and emphasis is similar to hand-waving away mass police brutality and oppression by saying "buuuuut they keep us safe".
That reminds me of a lesson developer's learned when making a stealth game, Splinter Cell. Originally, when you were spotted the enemies would just try to shoot you, but tester feedback said that players didn't like getting shot out of nowhere. The devs added audible cues that you'd been found, like the guard yelling "Hey you!" before they started shooting. It turns out realistic AI behaviors aren't necessarily fun AI behaviors in a video game.
Your hash is going to be of a tiny set though, the same as a 4- or 5-character password. That's possible to brute force in seconds, even with the slowest algorithm.
I guess people downvoting you think it's obvious.
Where/how do you obtain such confidence in something so wrong? The standard not only doesn't prohibit the implementation from defining something it leaves undefined (surely you don't think even possible behavior becomes invalid as soon as it is documented??), it in fact explicitly permits this possibility to occur -- I suppose to emphasize just how nuts the notion of some kind of 'enforced unpredictability' is:

> Permissible undefined behavior ranges from ignoring the situation completely with unpredictable results, to behaving during translation or program execution in a documented manner...
It isn't women's fault that the capital-holding class has turned the screws on the rest of us. It is, however, to the capital-holding class's advantage that we blame women for being paid less.
If those states were measurably less safe wouldn't that be reflected in insurance premiums? Mechanical failure is inconsequential compared to boring old human factors (distractions, alcohol, bad decisions) when it comes to dangers on the road.
How does red light help sleep? I googled just now, saw some stuff, but interested to see what you think or know.
- No Project Labor Agreement

- No minimum wage for construction workers

- No contribution to affortable housing fund

- 15% of all local hotel tax increases

- $23 million to Amazon from local gov if they hit 3 goals measured in office space square footage over time
I've bought most of my houses for cash. If you start in an up and coming market and upgrade the property after 10 years you can sell at a big profit. So you sell the first one and have a bunch of money that you use to buy the second one outright in a less hot market but one with better lifestyle, and have a bunch of cash left over to buy an investment property. Then you have monthly income, but also a maintenance and tenant headache and you're anchored to that neighborhood.

If I had invested the money in my stock portfolio instead, I would be ahead of the game since in the US (I realize the article is about the UK) mortgage rates are ridiculously low, stock returns are good, and mortgage interest is deductible.

I like to upgrade my houses though including major demolition which the lienholder of record sometimes doesn't want to go for without trouble. I have more freedom with the property with an outright purchase. Despite the fact I'd have more money taking a mortgage and investing my investment gains have been dramatic enough that I'd rather have the freedom.

Anyone working in IT should own at least one house outright by age 30 if they want to and if the can't they need to upgrade their skills, switch jobs, or stop spending irresponsibly. Starting salaries for recent grads from decent colleges are $90k now on average. That's people with no experience. After 10 years everyone should be making a lot more than that and all these rates are vastly more than anyone needs to live on. Save save save in the early years, then invest. Don't spend earned income on anything other than bare essentials. Spend from surplus investment income. Lots of people are in trouble every month spending all their earned income despite making $180-$400k and they never get ahead. There's no excuse for that. Cut expenses to what the poor spend and invest the surplus until you can permanently live well off your investments. But continue working at that point.
The answer in your [0] link is pretty uninformed. The author admits in comments that they never heard about Shamir's secret sharing.

But yes, all of the points raised in the answers [1] are totally valid. The extra security benefit is so small that really not worth the negative impact on usability. System designers should rather focus more on implementing 2FA.
Even if the AI is friendly being able to predict their behavior is still desirable. Nothing worse than friendly AI ruining your game because it went off and did something you couldn't anticipate.
Why companies like Lyft and Uber are going public without having profits
If it's too smart on your side, wouldn't it do all the playing for you? For example, you enter a room full of enemies and your AI partner kills them all the second they come into view. What's the point of playing, then?
I tried adding a web app to the store. Its extremely complicated compared to adding a hosted web app to chrome, where you just need an app manifest. For the windows store you need a bunch of xml files and it seems you must use their IDE. I want to build the package manually via command line so I can understand each step and then automate it.
Making an AI that isn't "perfect", but rather it is fun and challenging to play against.

My friend was working on a chess variant for years, and it was very easy for him to make the AI be very, very difficult but that isn't fun at all! It would always win.

He then tried adding an element of randomness to it to dumb it down. But then the AI just looked perfect most of the time while occasionally making bizarrely dumb moves.

He later added "personalities" to the AI, where each one would try their own sets of strategies and attributes. He continued to make it better and better.
I trust myself (or the average DIY enthusiast who elects to perform the task) to correctly change their oil or brakes than I do a randomly selected ASE-certified technician. I know me, my wife, and my kids are going to be riding in that car and it's not coming off the jack until it's right.
I'm not sure what you mean in this case: the Python code is very well written and extremely well commented.

I think this is an extremely well written tutorial! Kudos to the author.
I've been told that not knowing better is a typical reason (and another reply says so), but my anecdotal contribution is different.

When I'm implementing algorithm, I'll typically be implementing something that uses single letter variable names. It's easier to do with consistent variable names. That's it. I once tried meaningful variable names in LaTeX to make code nicer, but long variable names rendered as math are an unreadable mess, so I went back to short variable names.

That being said, it's not hard to change variable names with a good IDE, and in LaTeX you can alias variable names with \newcommand.
Common sense you say? We can't have that ruining our government-corporate oligopolies!
My opinion is a company that does that should be if you so desire, required to buy the device back from you at retail and pay for shipping.
And this is not a theoretical solution, this is literally just ReplayGain operating in track-level mode.
Runnable code from the article: https://repl.it/@vzhou842/An-Introduction-to-Neural-Networks

I see so many implementations of NeuralNets from Scratch on Repl.it (I'm a co-founder) but this is one of the simplest and clearest one.

One that blew my mind recently is one by a 12 year old programmer: https://repl.it/@pyelias/netlib
IMO if you are writing backend code where it is difficult to insert fakes at any point where you need to test, then all bets are off anyway. Doesn't matter if you use monoliths or microservices. If you can't abstract out some dependency and insert a fake without actually hitting the network layer then you shouldn't be writing backend code.

It is more about test-driven development than anything else.

You need a policy to do micro-services in the first place. You can also have policies (enforced by peer review) to have well-tested code and internal API boundaries. It doesn't come by itself, but neither does microservices.

At the end of the day you need development processes driven primarily by automated tests and good coders. Bad coders will make a total spaghetti mess of microservices too, in fact the consequences of microservices can be catastrophic and crippling if the developers don't properly understand how to write distributed systems etc. (trust me I've seen it happen).

Difference is, when you have that micro-service spaghetti mess, refactoring it to something with clean nice boundaries can be harder than with a monolith -- since the position of the boundaries tend to be less malleable. (This varies depending on how the microservices are tested & deployed, and also, how "malleable" and how "hard" a boundary is is really orthogonal.)

If micro-services does anything, it is to raise the bar for what developers can succeed in working with it. Put those same developers at work on a monolith though, and I think the results are the same. It's a filter for good developers, more than the things you say, IMO.
"General Pfühl attributes every loss to the failure to carry out his orders to the letter, and since such precision is never possible in battle, he can always argue that, just as he predicted". I think this is a great insight that can benefit both the left and the right wings. From the left we've heard many times how actual communism was never achieved and each failure (such as Mao China or Soviet Russia) proved the point that the theory WOULD work if done differently. But another implementation brought different contingencies again ending in casualties, but the theory WOULD work etc. etc. Sadly, we hear a lot of the same about free market, Michel Foucault in The Birth of Biopolitics argued that neo-liberal economics tend to "naturalize" the theory using the scientific discourse, so if, for example, the banks fail it's because there's still too much government control, if liberated from the welfare state mentality the supply and demand and the competitive market would come to a balance. Milton Friedman, probably one of the gurus of the free market based a lot on mathematical formulas, but it's an open question if physics or mathematics can be applied to criticize social structures and predict development?
IIRC, the developers of Final Fantasy XII said in an interview that the Gambit system that the player uses to set the behavior of their computer controlled party members is basically just a GUI representing the same logical structure used behind the scenes for enemy behavior.
I do get that in the example given there's only one element in each of the true/predicted vectors, but it threw me off for a sec.
Why not sell the kit sans engine, and include specifications on which engine to buy?
We aren’t there yet, but we are approaching the day when substantially everyone with the capability of rebalancing a red/black tree on a whiteboard and an inclination to program is either programming or in some other way connected to the function. If a yet higher level of mathematical ability and knowledge becomes necessary, shortages are going to become even more acute. That’s good for some of us but bad for the world. The world would be better off if we could figure out a way to lower that bar, not raise it.
I don't think he is saying to have nothing at all (refer to credit report freeze), it just means that he picked different fights than the ones you have. Similar to your close family members
Not likely. The DAC will almost invariably oversample anyway, and even though stretching may not happen in a high-sampling-frequency domain, the result eventually does.
Tesla does a few things in regards to these laws.

One, they have an online parts catalog. Except, where pricing and purchase information are supposed to be listed, they say "Contact Tesla". For everything. Down to the most inane of bolts and nuts.

So you could "Contact Tesla". Who will tell you that you are unable to order any of those parts. Down to the most inane of bolts and nuts.

Or you could go to MA, where they are required to provide servicing information. How does that work?

You call ahead, and make an appointment. You also pay a fee which, the last time I heard, was $295.

When your appointment arrives you show up at the location and are lead into a room. You are not allowed: a cell phone, a camera, or a laptop, any "audio and/or video recording device". Handwritten notes only. And you have a time limit.

That's Tesla's "commitment to corporate transparency" (the same one they quoted when they bailed out of an NTSB investigation), and their "approach to third party repair" in a nutshell.
Congratulations on launching! Is there a github repo available? How do you differ from stitch or airflow?
There are many other ways to verify facts versus an interview with a reluctant/belligerent subject of a piece.
A friend is working on a solution for this. Check it out https://yuri.ai
Exactly this. I have the misfortune of occasionally needing to deal with an online banking portal (located in South Africa) that uses this stupid scheme. Every time I log in, I wish an eternity of torture on the idiots who came up with it.

I just cannot imagine the thought process of the people who though that partial passwords could be better in any way than classic passwords.
> [I]n 2000+, hearing (and vision) is completely understood scientifically and far surpassed by measuring apparatus at every frequency range

Yes, we have instrumentation better than the meat-based transducers in the human body. That doesn't mean we completely understand said meat-based transducers or how that meat-computer in our skull interprets signals from those transducers. The auditory and visual systems are still subjects of active research with many outstanding problems.

I mean, I'll be among the first to call bullshit on audiophile snake-oil like people pushing 192 kHz/24 bit music, but in your rush to discredit such things, you've gone too far in the other direction.
As I said in a previous comment, I'd be curious if this "wasting time instead of contributing to society" applies also to other entertainment companies that quite literally waste thousands of hours a year of the average weak person, such as Netflix, which instead is typically seen as providing very positive value to society.
I discovered this when coming off Citalopram. The waking nausea and discomfort were unpleasant, but the worst part was undoubtedly the lucid, extraordinarily intense and violent nightmares that would begin the moment I fell asleep and continue, for hours at a time, for the entirety of my sleep.

After trying to quit cold turkey a couple of times, I researched about tapering strategies online, bought some pill cutters and started a very gradual dose reduction. So long as I only halved the dose every 2-3 days, I was fine. But I had to go down to a minuscule fragment of a pill before I could quit completely. Until that point, missing one of the reduced doses would still induce withdrawal symptoms just as intense as the full one had.
What's more likely - that the bank gets hacked, or that you install a keylogger?

Also there are ways to implement this without keeping the whole password in plaintext/reversibly encrypted. One example I just thought of:

Ask for 75% of the password each time, remember random 1/3rd of that (25% of full password) till the next login together with the hash, and on the next login ask for all the letters you haven't remembered (and fill the ones you remembered, then hash everything and compare).

You can adjust the percentages as needed if having 25% of the password in clear text is too insecure.
Not only that, but enumerating all possible combinations of 4 or 5 characters from a 20 character password would be untenable.
Any thoughts on how this version now compares to PyTorch 1.0?
Accepting some pull requests on notepad would be nice....
If you're interested in learning something like this, I highly recommend Udacity's deep learning nanodegree. They have a section that teaches you how to build your own neural network with the the help of numpy. They even have a section where you write your own sentimental analysis neural network from scratch. Easily the best explanation and notebook to follow I have seen so far. I've been taking their revamped one that focuses on PyTorch rather than Tensorflow.

Disclaimer: I am taking the deep learning nanodegree degree for free but its sponsored by Facebook rather than Udacity directly.
One big issue I can imagine with applying ML is that most games are buggy and poorly balanced, but the majority of your players arent optimizing machines (outside of speedrunners), and will follow “natural” paths, so its fine.

The only kinds of games that see enough time and resources to the same issues that would trap an AI in some optimal but horribly boring strategy (or rather, “unfair” strategy) would be competitive multiplayer games — and even then, only those that can classify for e-sports. That is, those games who already treat players (or rather, the wetware community optimization machine) the same as they would treat your ML AI.
I am reasonably well versed in the whole adversarial-input research. I am not sure whether this is really the problem. It's a tradeoff. This essentially introduces a random chance that you classification will fail (since adversarial input is not constrained to hard-to-classify situations), but while less accurate methods may be more robust to random errors (which is hard to verify for many approaches) but they have a higher likelihood to fail with hard situations.

Doesn't every component in an aircraft have a random chance of failure? There's even a name for one critical component, the Jesus nut.

I don't really get the interpretable argument. I think what you want is to verify it to a reasonable degree.
I hope that hornswoggle makes your day even better :)
Apple has been pushing machine learning at virtually every WWDC and its integrations from developers into product launches since.

A developer can do the ugly hacking to get an NVIDIA eGPU working on macOS, but it's a hassle.