skysight-inc/HackerNews huggingface dataset:
You assume I'm either uninformed or dumb because I disagree with your conclusions drawn from a facking stock price. That's amazingly narrow-minded. As you can see by the other responses to your comment, there are many valid points to disagree with you. I suggest you tone it down.
As for what is harder and what is not, it's not really so much a matter of easier and harder. By replacing all of the normal techniques with equivalent ones, it's more just programming in a different style that nets more benefits. I wouldn't say it's fundamentally easier, because the hardest part of any problem is reasoning about the problem itself, but I do think that you get a lot of benefits for writing in this way that is not really harder than the traditional methods, either. There's a sort of 1 for 1 replacement of traditional programming techniques with new techniques. The new techniques solve similar problems, but are more parallel, and more concise.
I haven't used WinAmp
since I was in high school, but honestly how does it stack up against VLC? I can't imagine it is actually better than VLC these days.
I like the irony that it started in a message board. https://en.wikipedia.org/wiki/IMDb#History_before_website
The "timestamped IP address", 172.24.96.31, is in the private network RFC1918 space — I doubt that was the IP address of the end-user. :)
I was 100% referring to the UX that thenomad mentioned in getting users to move to other services for content ingestion.

> Stop being lazy and just spend more time being picky about what you actually sign up for

Wow. I'll be sure to travel into the past about 20 years and tell 12 year old swozey to not sign up for HondaCivics.com because you'll be out of that phase of your life when you're 17.

You completely missed my point.

I'm not going out of my way to ingest media on private platforms as opposed to ingesting that media on a couple of platforms that are aggregates that I already use.

I'm not signing up for your personal video site when I can watch your videos on Youtube.

I'm not downloading your personal music app to listen to your album when I can play it on Spotify.

If your stuff isn't available on these platforms, or whatever major aggregate relates to your style of content; 99% chance I just won't partake in it.
> o the big question I've been asking myself is at what point will a AWS AMI be less versatile than a docker container,

AMI only runs on AWS. Docker runs on anything. I don't think "versatile" is the word you are looking for.
From the article it sounds like a very large percent of their power users use tools like this. So if they banned it, many of their best users would quit.
> At my company they have, /on purpose/ too few spaces for the number of employees. So early birds get all the spaces with powerplugs, monitors, network etc. The rest must fight it out on bench seats with no power etc.

They had a weird back-story vignette told by a character in a novel called "Market Forces" by Richard Morgan like this. There was an economic downturn, and the bosses decided that instead of picking who got fired, to just reduce the number of desks from 10 to 8 and let the workers race into work for them. Too late, too many time, and you're out. The races to work for those last desks soon got fairly bloody...
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3372692/

Machine learning is already used in Radiology. Chances are eventually Radiology will be the domain of machines. But it's going to take some time to get there. Healthcare is extremely regulated and closed minded.

Most of the people in the thread you listed above are clearly biased towards medicine and against computer science and machine learning. But machine learning has been having success in diagnostic medicine even well before the deep learning boom that thread talks about.

For example:
http://ieeexplore.ieee.org/abstract/document/1617200/
I learned to code, build a web app and launch it on Product Hunt in 2 months
This is our setup in my gov't agency (NASA): 3-4 engineers per room, typically grouped by either project or functional area. We have a couple of regular conference rooms, and also have a few breakout/collaboration rooms that can't be reserved for meetings as well.

Apparently, it's how it worked in the 1960s too. My group just never went through the various workspace fads because we never had enough money to move or reconfigure the building. I guess that's one upside to moving as slow as the gov't sometimes does.

I did have a cubicle while working with another division, but they were still fairly private.

The downsides: infrastructure is equally as slow to get updated...
I know this sounds ridiculous but KDE/Plasma5 is great if you manage to change the style to something else. Numix + icons is a good candidate. You can choose QtCurve for KDE/Qt5/Qt4 apps and skin that with Numix + Numix Colors and GTK2/GTK3 have native Numix widgets.

I've made peace with Breeze Dark at the moment, it's not so bad.

But optics aside KDE5 is mighty powerful. Dolphin is a great filemanager and I'm missing it on Windows. On the fly ssh/sftp/webdav is also a great feature.

The Plasma NM applet for NetworkManager is also great - especially if you often change settings for interfaces.

The menu works fine, searching is almost instant. I'm using the current KDE from Arch Linux and it's pretty stable for me.

Overall I'm happy and I'm not looking at Unity - that also has it's merits but the whole Nautilus/gvfs ecosystem was kind of unstable for me. YMMV.

What I dislike about KDE are the widgets - besides the essential stuff like time,battery everything feels clunky and slow - the system for adding them is also not so great. I've also never used 'Activities' the whole concept feels pretty much out of place. I'm also setting up my Desktop as background and ignore the "folder in a plasmoid widget" story that is bullshit IMHO.

I'm also avoiding akonadi/kmail/korganizer etc.pp - these might have improved but still felt clumsy last time I looked.

IMHO it's getting better but it's no silver bullet. For most users the default presentation and UI and settings are just confusing and ugly IMHO - if you look past that you will find a lot of good, stable and well thought ideas.

I'm running KDE now on all my Desktop Linux boxes and I can't remember the last time I had some hassle with it. It does what I want, it goes mostly out of my way and it doesn't look too bad.

For all the stuff it only uses 300-400MB RSS memory after a fresh reboot with a few Konsole windows running.
The growing class consciousness is the most exciting, as well as scariest. We can build a non-profit driven world (socialism) - or - hate driven world (fascism). Reading various texts starting with Karl Marx's Das Kapital is probably the most important learning a person can have at present.
Thank you for posting this link. Interesting stuff that parallels my own experiences with vegetarianism and veganism, the adoption of which I consider one of the great mistakes of my life. I've never gone 100% meat and water though I do eat red meat 4+ times a week.
this... is solid advice. I don't know that I could pull it off but you make excellent points.
A couple of other Lisp in Swift examples:

http://www.h4labs.com/dev/ios/swift.html?age=10000&q=lisp
Memory at Core of Deep Learning Research Chip
Thanks for taking the time to explain it. I think sometimes I'm just too focused on my own stuff.
>can be spawned on demand in sub-millisecond time

But the reality is that they don't, with cold-start times upward of 30 seconds. If you use them enough to avoid the cold-start penalties, then you're better of with reserved instances because lambdas are 10x the price. If you can't handle the 30 second penalty then you're better off with reserved instances because they're always on. If you have rare and highly latency-tolerable events, then use lambda.
My office has a kitchen adjacent to a auditorium. No doors.

Everyone who gives presentations around lunchtime inevitably has to apologize to the audience for the beeping microwaves and chatty employees.

This building is like 3 years old and cost tens of millions of dollars to build.
Unfortunately for some profit is still more important than human health or the environment [0]

"Trafigura, Vitol and BP exporting dirty diesel to Africa, says Swiss NGO

"Traders blend cheap fuel with sulphur levels many times the European limit for sale in African countries, says Public Eye"

[0] https://www.theguardian.com/world/2016/sep/15/trafigura-vito...
I have been upvoted several times. I assume I am not the only one.
> Go, however, is like a Toyota Corolla or a Honda Civic.

The only problem with this argument is that everywhere - even in this thread - there are people saying that Go is a joy to program in. It's not lacking magic, it's magical in its own right.

A better car analogy would be that Go is a Lotus Elise. It's nowhere near as powerful as your friend C++'s Mustang or Rusty's McLaren. But to C++ and Rusty's dismay Go's little Elise still gets around a racetrack crazy fast. It may have a smaller engine but it's just taken a really different approach to going fast which works really well. And Go has a much more pleasant time getting to his destination than C++ and Rusty do.
This was probably fallout from the switch to GTK3 and is unlikely the fault of KDE (that only configures the GTK theme and nothing more). Eclipse and GTK3 was so broken (is it better now? I switched to IntelliJ) that almost everone recommended to set a flag to get back to GTK2.

But I feel your pain, it's not new - there is a name for it: https://www.jwz.org/doc/cadt.html - it's still true :(
Unlikely. A CEO's job is literally about being the face of the company. How exactly will a machine replace that? Perhaps in 100 years when we have human-level androids walking around.
All the death and killing in the canon HP books is all good though.
The potential H-1B visa curbs won’t change shit for India
As someone who is sensitive to sound quality, I've been using a combination of mid-range Shure 315 earbuds with custom ear sleeves which is low-fatigue compared to over-the-ear.

Noise-cancelling equipment isn't as effective for human voices, so I've used low-to-high volume music to mute out my coworker's voices. This works great until early afternoon when. I. am. Just. Acoustically. Exhausted.

I'm susceptible to music and can only use it as background for 2-3 hours at a time.

The other day I came across HN user's grahamburger's suggestion to "add in some white noise on top of" using over-the-ear noise-cancelling headphones. [0]

So, I did some research/shopping and am going to experiment with audio tracks from "The Very Best Sound of Nature - Birds, Waves, Rain (with Forest, Creek, Wind, Thunder) [Sound for Relaxation, Meditation, Healing, Massage, Deep Sleep, Yoga]".

Also, as a result of your suggestion for Noisli, I'm going to try a background-noise generating application. Thank you for the suggestion.

[0] https://news.ycombinator.com/item?id=13564539
congratulations, you made the problem worse
Why should this be banned? It's not the same as spam, since you have to subscribe to someone to see their tweets.
PixMob (https://pixmob.com/en/) has been used in past superbowls to create similar effects, which aparently uses IR.
Data science is creating opportunity for women to get into executive leadership
I work in a place that has an open plan, but our desks are on wheels and we can move them as we see fit. So people working on related projects can find a spare room and move a project there. And if you really need an office, or just a quiet corner, those are available.

It's not always super great, but it's way better than having an open plan where you're told where to sit, or an open plan where you don't have any continuity, just a bin of stuff, like you had in grade school.
re-read the OP comment about "kidnapping", the "well-known cases" OP referred to weren't as "well-known" as he originally thought, because he couldn't find even one instance of it happening.
Call center is a customer service job, where the customers happen to not be in the room.

I feel the same way about this as McDonalds managers directly observing the kitchen and cashiers: nothing at all.
It was an enormous surprise that it happened so quickly, but I do think the Go community thought it would happen in a decade or more. Monte Carlo methods had made a lot of progress, and researchers were having good results with neural nets in 2015. http://senseis.xmp.net/?ComputerGo (Note, I read various things from Go programmers, but don't work on that myself).
Buses, trains and taxis only threaten their occupants. Planes can be weaponised as missiles.
You could probably sell one of these into every concert theatre in the world. I'm wracking my brain and exercising my google-fu, but I can't seem to find/remember which famous musician wanted only one color of candy on their rider. Or was it everything except the green ones. Or something like that.
They weren't perfectly synced, so I would assume the field audience just all pressed the "go" button at the same time (indicated by handlers with headsets, presumably)

Much simpler than localization.
You could test the front-end before react though? Also, one can still have a God component. I don't think React changed anything from a testability point of view. Well written modular code is well written modular code.
Tree maps are great for 2D space visualization. About the general concept: https://en.wikipedia.org/wiki/Treemapping
My First ESports Live Event: Summary of the St. Louis Halo Qualifier
Did anyone else read the statistical analysis section? There were some "interesting"/unclear choices made, but I'm going to pick on one in particular that could affect the outcome: the decision on how to weight the individual cohort studies on which this study is based (pg 6).

> A random-effects model was used to obtain a single pooled estimate of the HRs from the individual studies for each category. The study-specific HRs were weighted by the inverse of the sum of their variance and the estimated between-studies variance component.

First note that there is no citation which motivates this weighting scheme. There may be a valid reason for doing it this way, but that's not clear from the paper.

Second, "the sum of their variance" I take to mean the sum of the variance components of the regression model. That's interesting because the components mean very different things. In the simple case of least squares, there's the "explained variance": the "strength" of the relationship between Y and X, and there's also the residual variance: the variance in X that isn't explained by Y. Aside from the fact that they mean different things, their sum is not a constant and so are not directly comparable across models/studies.

Third, weighted by the "between-studies variance component" has the effect of down-weighting studies that show a large difference from the mean study result and up-weighting studies which are similar. Now, what would you say if I conducted an experiment and transformed the raw data points according to this same procedure? "That's not fair because that's not the data we collected!"[0] And herein lies the problem: the purpose of this meta-analysis is to assess whether we can draw any consistent conclusions from the results of the individual cohort studies, but by weighting studies toward the mean the authors are taking it as a forgone conclusion that the mean study is ground truth.

I'm by no means an expert on meta-analysis so someone please chime in if you think I'm off base, but this all strikes me as a very peculiar and unjustified set of steps being taken before the model is even fit.

[0] Yes, there are cases for data transformation, motivated either by theory or meeting regression assumptions, but this is neither.
I usually would say it is ok to do everything wrong while learning. But the example of peter you brought is the exact sample why this is still a bad idea. You will have a way harder time to learn it if you are doing it wrong from the beginning. Not to mention that you will probably never will be able to fix your old code.
Ask HN: What is the biggest untapped opportunity for startups?
What are some market segments / areas that are ready to be disrupted? If you're a VC, what are some problems you don't see a lot of startups trying to solve?
In Search of Scanlines: The Best CRT Monitor for Retro Gaming
I still can't get excited about net neutrality, but maybe that's because I'm from a country (UK) where telco competition is strong enough - and number porting etc easy enough - that anything that's anticonsumer will get punished by the market.
Show HN: Go-fuck-yourself; make your code build, forcefully
Entrepreneurs: Health law changes may mean finding new jobs
van halen -

apparently they don't want the green ones : http://www.snopes.com/music/artists/vanhalen.asp
I suppose full automation may be a long way off, but maybe in the mean time we can do both? Have the radiologist evaluate the images, and then look at the report the AI generated and see if they agree. Use the radiologist to help train the AI, and use the AI to double-check the radiologist.

Maybe if MRI scans get cheap enough (due to advances in cheap superconductors or whatever) that it's economically feasible to scan people regularly as a precautionary measure (rather than in response to some symptom), then the bulk of the cost might then be in having the radiologist look at the scans. In those "there's nothing wrong but lets check anyways" cases, it might be better to just have the AI do it all even if its accuracy is lower, if it represents a better health-care-dollar-spent to probability-of-detecting-a-serious-problem ratio. (If the alternative is to just not do the scan because the radiologist's fees are too expensive, then it's better to have the cheap scan than nothing at all.)
6 Ways to Manage or Reduce Your Stress at Work (for Programming Students Only)
Don't forget to pay the $800/year CA LLC fee.
I've found Twitter feeds more timely than status-light dashboards for various online services. Partly because the users start to scream before the SREs update their blinken lights.

I was vaguely interested in it (Twitter) when the Iranian purple revolution was going on, but that passed, and after that version of tweetdeck did as well, I've never been able to track topics well enough to make it more worth-while (to me) than a meme-tracker.

Other than that, I haven't found much use of it. I'm guessing that puts me in the dissenting position, but this isn't the first time that's happened.
Having seen the giant ice cream-stuffed crepes they sell in Harajuku, I'm not sure how true that is anymore...
Airbnb: #weaccept
Mesh networking has theoretical limits that guarantee that normal internet will beat it by a mile.
He was talking about burners being used to be seemingly undetectable, which got me thinking about people with nearly imperceptible tells, and how both of these "nearly invisible" things are seen by big brother. You are right though... it's a very questionable segue.
Gnome Shell. Helps me to focus and getting things done.
To each his own ! I brutally prune the list of people I follow ; if I feel someone is spamming or retweeting garbage, I get rid of them. However, some people may not be so unforgiving and that is ok : they are probably the ones clicking on links in sponsored tweets.
that seems implausible to me, for two major reasons:

1. you're suggesting that the machine has a zero percent false positive rate, which I believe given the circumstances is physically impossible. for this type of machine, there must necessarily be some increasing function relating false positive to true positive rate. perhaps doubling true positives from (making up some numbers) 0.0001% to 0.0002% only wastes 0.01% of the available grain, but either way, I refuse to believe that increasing the true positive rate is truly "free".

2. you're effectively stating that the grain processors take out most of the bad grain, then dump it back in. given that the allowable percentages of "bad material" are (as far as I know) quite low, I don't really see why they would bother reducing the amount thrown away from, say, 0.0001% to 0.00008% to save that tiny amount of money.
A few things startup founders should know about .AI domains
There is static type checking/analysis available. Just use Dialyzer.
Herbicides, not pesticides. Also, keep in mind that "herbicide" is not a single thing; the particular herbicide that Monsanto sells (glyophosate) is more-or-less not toxic to mammals or insects and does not migrate to the water table.

You can't just compare "pounds of *cide" and call it a day. It is very important how much of which pesticides and herbicides are being applied, and what the properties of those are (how long they take to break down, whether they migrate to the water table, how toxic they are to different animals).
It's worth asking if you really need an LLC/Corp. Find a good tax person, and see what they recommend. To find a good tax person, ask a few business people who they use and recommend.

I formed an LLC a couple times, and both times I probably shouldn't have bothered until the business could pay for the fees, and an official entity offered me something a sole proprietorship couldn't.
Here is a 3 min video of Justin Frankel(the creator of winamp) https://www.youtube.com/watch?v=qj6qaVoDIZg

Currently he is developing an DAW named Reaper. It's one of the cheapest DAW out there.
Not a Twitter user but: if you wanted to disrupt or derail ongoing conversations, couldn't that be done programmatically too? Or harass people?
It's a lot easier when you have a spouse/partner willing to be the homemaker while you support the family financially. I would have a hard time working from home if I had to take care of my four year old myself, but since my wife is a stay-at-home mom she's able to take care of the kiddo and making sure the house doesn't fall apart (I won't blame any woman for not wanting to fit the gender stereotype, but I feel kids these days are missing out a lot on not having a parent - dad OR mom - that doesn't have to work and can spend time with them beyond what their work schedule allows).

If you aren't in a situation where you have someone home with you or they can't comprehend that WFH doesn't mean you have to work your 40 a week then sometimes you have no choice but to just put the kids in daycare - which stinks because it robs you of a valuable perk of not having to commute when you have a family.
Did you just compare a blown up video player with a playlist function to a extendible music focused player
but didn't the torches move out when they had the sort of starfish shaped formation and they were all yellow? seems hard to believe they would've been able to coordinate the extras moving far away and then moving right back in position.

What about something low tech like: the field has a grid with infrared emitters pointing up spaced let's say 6 feet apart, when changing positions extras have to keep the torch vertically for a second for it to receive its id from the local emitter, then you simply broadcast every instruction to everybody and each light knows to look only for instructions for its id

As long as you are ok with setting up the emitters on the ground and the assumption that you can "re-sync" the position at every position change, seems like it'd be fairly straightforward
Ground-based vehicles can definitely be used as offensive weapons. Plenty of examples of people not in vehicles being injured. The truck used in the attack in Nice, France is a very clear example. Granted, it wasn't a transit vehicle, but there's no reason why one couldn't be.