skysight-inc/HackerNews huggingface dataset:
> Silicon Valley, as an ecosystem, is fundamentally uninterested in politics and history (especially social history). Would you disagree with that?

Yes, for two reasons. First, the meaning of the label 'Silicon Valley' is unclear, but whatever it means, it shouldn't be anthropomorphized. Doing that is usually just a rhetorical device, and that dilutes arguments.

Second, the people I know in Silicon Valley are acutely interested in those things, so I'd say your claim is way off base.
Word has had that for a long time. In modern ribbon-interface Word versions, it's in the Home-Paragraph section, top right icon ("paragraph mark"). Additionally you can/should toggle field code display with Alt-F9.

This has been in Word since, I think, Word for Windows 2.0 (circa 1992, for Windows 2.11). It might have also been in the previous DOS-based Word versions that co-existed with DOS-based WP (but since I used both, I can't always tell which features were in which).
The biological eye also developed based on the availability of natural electromagnetic radiation. And we are using most of the spectrum which easily passes through our atmosphere.
Radar waves are nice in that they pass through rain and fog, but they are not well reflected by animals. So for surviving in the wild, they are less useful, but on the streets where most cars are metal-heavy they work much better. They do however not give a very well resolved picture. The radar cannot really distinguish between a bridge and a high trailer. The new software tries to work around that by using data from other Teslas passing the same road section before.
How so? Is it the for loops in the pixel shaders?
That would work with one building. A long string of coincidences (failures upon failures…), such as the ones that causes some big server outage, or blackout, or plane crash, could have been a good explanation for the fall of one building.

Here however the "string of coincidences" hypothesis would have to apply pretty much simultaneously to three buildings, one of which wasn't even hit by a plane.

No. freaking. way. That's just too damn improbable.
Those are really good points, thanks!

I'll try to just get going and pick a lang for that. Web-dev intimidates me, cause I should know HTML/CSS+JS for front-end, and SQL+{ruby|python|clojure|haskell|php|...} for back-end. That's why I was thinking about going w/ sth like clojure/ruby, cause that takes care of front-end as well. But what do I know?
They had to start somewhere. But progress was too slow for years. Tony Tether at DARPA came up with the DARPA Grand Challenge because he thought the DARPA-funded automatic driving projects needed a serious kick in the ass. It worked.

(The reason it worked is not well known. Some major research universities were quietly told by DARPA that if they didn't do well in the Grand Challenge, their DARPA funding would be cut off. Suddenly entire CS departments were being devoted to automatic driving. Levels of effort went from 5 people to over 100, and not at DARPA's expense.)
Honestly Octave/Matlab isn't a problem I've found. If you are vaguely familiar with any programming languages it shouldn't be a problem. To me Matlab is just another tool to express my thoughts just like any other programming language. Sure it as has some things to learn, but it's not like it's a whole new paradigm or anything. Personally I struggled more with getting the linear algebra right than the syntax of Matlab
This channel has no description yet.
One problem is that when the bank fails to adequately bet whoever they gave a loan to, it becomes your problem until you can convince them that they made a mistake (hope you can afford a lawyer). A standard ID card with a photograph would help if it meant that nobody would accept anything else (utility bills, etc. are much easier to steal or forge) and it would transform online banking if we had something like OpenID/U2F which would work online.

The other problem is that without a reliable primary key, it's much easier for correct information about different people to be incorrectly mixed. While this is not as bad as, say, when it hits a sex offender database or terrorist watch list but it does happen and would go down dramatically if everyone could just use something like a SSN as the link instead of trying various fuzzy heuristics and hoping for the best.
We can create true, autonomous Intelligence, even though we don't understand how it really works. I predict that - we'll be able to create AI and train it just like we do with a human being.
Humans do not have a light source and use the Sun's light. This is why we see in the "visible" spectrum.

If you can bring your own well collimated coherent source you have no reason to stick to visible light. On the contrary, other spectra might be better (lower background noise, easier to produce coherently, easier to direct, etc).
Regarding your first paragraph, I'm sure it has a lot to do with the journalist.
already on the front page, please check for duplicates before submitting!

https://news.ycombinator.com/item?id=12474445
I would like to buy an electric car. I live in a city, so range issues aren't a big deal. But I don't want to pay too much of a premium for an electric car, and I don't want it to look "weird". Just make your normal cars electric. I don't want to drive in something that attracts unnecessary attention for looking strange, like the i3 does.[0] Obviously the price issues won't be solved for a while, but in 5 or so years I hope to be purchasing an electric BMW, Lexus, etc. without too much of a premium.

[0] http://www.bmw.ca/content/dam/bmw/common/all-models/i-series...
The "envelope X-ray spray" is available at electronic stores as "transparent transfer spray" [1]. It used to be used for PCB manufacturing.

[1] http://www.produktinfo.conrad.com/datenblaetter/600000-62499...
In Spain we also hold elections on Sunday, but the problem comes when they happen to be in summer on a really nice sunny day. Some people can't be arsed and probably for good reason.
My timber floor just had its 70th birthday and it's got a lot more in it. That said, it burns well and has borer in it.
Brickyard Blues
The creative faculty is much more than just composing symphonies though, the simple act of speaking, is a creative process. Every time you speak your utterances can be arbitrarily long, and unique - have probably never been expressed, in that particular order. So that's something all humans can do.
Yes. The biggest risk is of process controllers being reconfigured to cause physical damage. For instance, gas turbines can be cranked up to speeds & temperatures at which the turbine blades disintegrate. Or you can shut off combustion but keep fuel flowing, then restart combustion and get an explosion in the exhaust system.

Why not just design equipment to have analog fail-safes? To get the last few percent of efficiency out of many systems you have to push them beyond what can be simply protected with fuses and analog shutoffs, and depend on software.

Nuclear reactors can't just be turned off. You have to keep the cooling pumps running or the core overheats.

Solar thermal farms can be hacked to point all the mirrors wrong and melt the tower.

Large windmills have very complicated wind speed/blade angle controls, and can be made to disintegrate in minutes with the right inputs.

All the effects I mentioned are local to one system. It's not clear if there's an attack that depends on the dynamics of the overall grid. But I can understand why researchers focus on the largest possible abstraction, rather than writing detailed engineering papers about turbine failure modes.
> I worry that we are seeing similar tactics being deployed by other entities in an effort to grab control of the Linux ecosystem.

Can you explain what you're talking about here?
True, but Google's Street View cars have 360 degree cameras and LIDAR systems on them and I assume the data is saved at full fidelity and sent back to Google.

Teslas definitely have many more miles on them, but I don't think the cars are sending back every single frame captured by its cameras back to Tesla HQ.
Depends who's arguments you look at. The Kurzweil arguments have always been turing test 2029, singularity 2045.

So say general purpose AI about 2030. So it was 80 years in the future in 1950, 14 years now and so on for other dates. It depends a bit on the definitions you use but around then.
Ahh this is the time honored tradition of 'new language grumping'.. It goes something like this.

1) Pick a hot new language that is just in version 1

2) Attempt to shoehorn your shitty existing project into hot new language trying to use old paradigms and bad design.

3) Complain that new language does not have all the 'features' of the old language you have been using and be super vague about how you 'really' tried to get the 'community' to help you.

4) Strawman up a "solution" that some random gave you on IRC or a forum.

5) Write post to complain about new language in order to get lots of new visitors because you know all the fan boys are using hot new language..

6) Congratulate yourself on successful troll.

Saw a bunch of these with python, perl, php, c# and node. Now they are coming out for go and rust right on schedule.
You are right. In the last step, the top arrow has to be bent outwards and then joined against the bottom arrow, instead of overlapping like I previously did/imagined. The result is a figure with one surface and one edge, like the one NateyJay points out: its a mobius strip.
Desire – Raspberry Psy – A Rasberry Pie Demo
Both disk and CPU failures are recoverable on expensive hardware.
> I'm also not quite sure on why exactly it is so complex to distinguish between objects (including vehicles) on the road and ones above/next to it.

Because radar does not have the same resolution as LIDAR.

EDIT: Phased array radar and cheap stationary LIDAR should get under $100 in ~5 years, at which point this whole argument will be moot. Hacks in the meantime!
Key lesson is that if you're the Russians, train squirrels to attack the power grid, deploy them, and then deny, deny, deny.
Unfortunately even that, with no prior visit to the site, did not work on FF for Android (maybe due to the age of the article?).
If you want webapps, it's good to understand Javascript. I love clojure to death so much I write it in my spare time as a developer working on other stuff. But the reality is that its surrounding community is tiny, and that makes the hurdles faced when starting much, much larger.

Clojure/clojurescript will get you a single language on front-end and back-end, but I think that from a monetization standpoint you really want a Javascript front-end and Java or Ruby back-end.

Keep in mind that if you use "more standard" technologies, you'll also have a more likely chance of cashing out on whatever you build if you decide to sell because the buyer will be able to hire people to fix it. If you choose something obscure without a developed community, any price offered to you will be much, much lower or even just never come.

I'd personally skip the node.js hype for now.
What does the world look like in radar? Are there any visualizations available?

Could multiple radar emitters and receivers be used to create a phased array and improve resolution?
Restarting a down grid is nontrivial. Small power stations are used to kickstart the larger stations. Think of the starter motor in a car. Now do all of this while precisely maintaining 60 Hz (in the US) everywhere.
Is there anything in your Hadoop that's not "business evidence", financials, user acquisition etc?

My point is that there are many many business decisions driven by analysing non-financial big data sets that physically cannot be done with data crunched out in five hours. These may even require physical testing or new data collection to validate your data analysis.

Like I mentioned, anyone doing proper Engineering (as in, professional liability) will have the same level of confidence in a number coming out of your Hadoop system as they would in a number their colleague Charlie calculated on a napkin at the bar after two beers. Same goes for people in the pharma/biomolecular/chemical industries, oil and gas, mining etc etc.
Swiss direct democracy is rather more constrained than Athens and most of it originates from elected representatives, with an option for citizen-initiated referenda.

California has ballot initiatives, several of which have removed the legislature's powers in some taxes and some spending. Possibly to the detriment of the state, especially since it has dramatically narrowed the tax base.
Not sure why you keep insisting I am saying something else than I am.
Concepts and Applications of Inferential Statistics
https://duckduckgo.com/?q=skyscraper+evacuation+systems&t=ft...

https://www.technologyreview.com/s/425276/the-best-way-to-ev...

https://www.chamberofcommerce.com/herndon-va/33439780-skyscr...

https://en.m.wikipedia.org/wiki/Emergency_evacuation

https://en.m.wikipedia.org/wiki/Fire_escape

https://sourceable.net/tablet/single/?name=high-rise-fires-r...

http://emergency.cornell.edu/building-evacuation/

In short: there are systems, and they work, to varying extents, for existing structures. Very tall supertowers are a particular challenge, as every internal safety system competes for space with other interior uses, and external evacuation systems are difficult to specify and design. Many possible systems would have been compromised, internally or externally, on the twin towers, from the same extraordinary threats as were compromising the structure itself: gross physical damge to the structure, which closed off internal stairwells, and a raging, jet-fuel-fed inferno, which was weakening steel structural beams, and which would have compromised numerous possible esternal escape structures based on natural or synthetic fiber rope or tube systems.

Aerial evacuation was similarly hampered both by smoke and by lack of rooftop access (doors to the WTC roofs were locked against internal use).

The most effective protection was simply not to be in the towers when they fell. The decision of some survivors to leave WTC1 after witnessing WTC2's strike was key, and the in-building announcements to not evacuate contributed directly to the death toll. The inhabitants of WTC2 above the impact zone were doomed in all but the most optimistic scenarios, which is troubling -- the situation bears some resemblance to the disaster on the RMS Titanic in 1914, for which I strongly recommend the 1954 film A Night to Remember.

It's worth remembering that the daytime occupancy of the WTC complex could exceed 50,000, and estimates are that 17,400 people were in the towers at the time of the attacks. Over 84% of the occupants managed to escape successfully (the death total of 2,753 includes both the hijackers themselves and occupants of the two flights which struck the towers). That's a grim success under the circumstances.
I was wondering why Twitter would use the the colors 'red', 'Red', 'rEd', and 'reD'. I think thekevan's comment explains it though. :)
Elon Musk sees 3x potential increase in safety with Tesla’s new Autopilot update
> The radar cannot really distinguish between a bridge and a high trailer.

Are there any visualizations available of what these radar patterns look like?

I wonder whether a human looking at the radar visualizations could reliably discriminate between them. I have to suspect that we could, but I've never seen such a visualization and don't have a good sense of what kind of detail it includes.
But the origin of the bug is still certainly in the unsafe areas.
Yeah, but time cube isn't hard to understand. It's perfectly clear. It is the answer to everything. It is the grand unified theory. It is a box containing a consistent system of axioms capable of proving all truths about the arithmetic of the natural numbers. It is love. It is life. It is Time Cube.
> I don't want to drive in something that attracts unnecessary attention for looking strange, like the i3 does.

I see i3's daily and they blend in well. The only thing that looks strange are the extremely narrow wheels.
I think the image you linked is of the concept car the real thing looks more like [1].

[1] https://upload.wikimedia.org/wikipedia/commons/5/5a/BMW_i3_0...
Android phones in moving cars?
> I have always thought he was too quick to dismiss the potential of AI

I have no idea what AI is (in a practical context), and I think no one else does, either. Do you mean the statistical algorithms that people call machine learning?

> But we now live in a world where, at long last, a machine has beaten the world champion Go player.

It is very important to understand how that was achieved and the difference between that and verification. It's unknown how good Google's Go program is compared to some arbitrary opponent, as the algorithm it employs is not the algorithm to "win" at Go (which is far too computationally expensive to be feasible). It is "merely" able to beat other human players, but that is mostly because humans can beat human players, and the program learned from humans. Humans, however, do not efficiently verify other humans' programs, and that makes the problem very different.

Don't get me wrong: I think that statistics are absolutely necessary, and that machine learning could certainly help. But "help" does not necessarily mean "solve". At the end of the day, even if we pretend machine learning does resemble intelligence (which it does not, as any expert would tell you; we're still in the vicinity of zero IQ), we must remember that intelligence -- unlike what some people like to believe -- is not a very good "general problem solving" algorithm; it is a reasonable general algorithm for problems that humans tend to confront in many situations. For example, humans are even worse than computers in finding solutions to NP complete problems, and are in general terrible at solving many problems. In general, humans are good at forming conceptually deep but undetailed theories. Is verifying programs one of those problems that intelligence can solve? It could be, but we have no good theory that can give us intuition into whether it is or it isn't. I do know that a model checker was far better than me when reasoning about programs.

But instead of hypothesizing, a good first step would be to gather statistics, and to use machine learning in analyzing those statistics. I think it's more likely that machine learning would uncover important patterns that we could then exploit in more robust algorithms.

Thanks for the invitation, but I am very far away from Silicon Valley.
Elm. http://elm-lang.org/
Means testing is how you would LOSE political support.

There has not been UBI so history tells you little. By supplement the market you mean
Why would I care?
i think that question is not so pressing until the system is declared fully autonomous as in, no human required anymore to drive. as long as it's just an assistant, the human is supposed to brake. but, since they surely want autopilot to become an actual autopilot...

you could do the same with "normal" cameras (and probably lidar as well) i guess by pointing a laserpointer at it. the safest option is probably to just brake.

here elon musk says they don't use lidar: https://techcrunch.com/2016/09/11/tesla-autopilot-8-0-uses-r...

(as an aside, some years ago we had incidents in the news where people pointed laserpointers at aircraft pilots while landing. the pilot's appropriate response is usually to abort the landing and do a go-around, because that's the safest thing to do in this situation)
Haven't seen that before, hugely enjoyable and entertaining.
You had me until you suggested that the Democratic party of 1965 has anything to do, vis a vis racial politics, with the party of 2016.
Yeah, I think I have made this way too difficult for myself...
I just wish I could have all the good features of different languages altogether, but that's not gonna happen, welcome to the world of programming.

I like Haskell and LISP for the challenge, but I wish I could do mobile/web dev in them easily (like RoR).

I really appreciate your answers, I think I should just get going then, and try to figure out the rest next.
We need a robot connoisseur! I think so far there is none
Also no rebar, so it means big arches, massive vaulted ceilings, domes etc...
> This article is not about that. It revisits a disaster (the collapse of WTC7) which appears to have happened under very unique circumstances. If the accepted explanation is correct, WTC7 is the only high rise to ever have collapsed from fire, and the collapse resulted from a long string of coincidences. The article is a critique of this analysis.

A critique that suffers from the same flaw it's criticizing. The authors say (pg. 4, there, I'm showing I actually read the article) that the official study preconcluded the cause of collapse even though it can't make the evidence fit, but the authors of this article themselves are equally guilty of such preconclusion (it was controlled demolition!).

Some of the citations are extremely problematic--the evidence for nano-thermite in particular, which is not a claim that can be independently backed up, and whose properties are never clearly specified (because, so far as I can discover, the known properties really fail to explain any aspect of 9/11).
The message/button has been fixed, sorry for the inconvenience.
It's also aimed to be supported on Linux in a near future.
Just use 24 of them interleaved/stripped and it will take just one hour for loading the data.
Apple Bans Account-Free Cryptocurrency Trading App ShapeShift
They only have to send the interesting ones.
The one in "Stuff that should be avoided"?: http://www.iso-9899.info/wiki/Books#Stuff_that_should_be_avo...
well, that doesn't help you if you're dead. although it's probably an argument in favor of not requiring such countermeasures, they would still be nice to have, wouldn't they? :)
Generally it works the other way round: you have an idea for making money and need the best (or easiest) tool (or language) for execution. Starting from nowhere, your best shot is learning to customise e-commerce templates and set up stores online for you or for prospective clients.
The simplest implementation would be a sorted list with binary search for access. Segments create problems though.

I thought of the hashtable, but that means I have to keep the hash-table in RAM. By contrast, the entire capnproto structure itself could be memory mapped, thus not having any RAM constraints.

I'm thinking larger datasets here, large enough where overhead of e.g. JSON becomes a problem with RAM (on mobile devices), but not yet large enough to have to use SQLite.

I might be overthinking it, and could move to SQLite straight away. Just trying to keep my stuff as simple as possible. Conceptually simple, that is. Capnproto is conceptually simple: a tree dumped to disk, allowing on-demand memory mapped access to requested parts.
As much as I love writing clever software to work around hardware limitations (I believe it's what makes videogame programming of the 80's and 90's fascinating and led to better creativity and better games), I once had the job of writing software for "broken" hardware. By this I mean I was in charge of a computer vision algorithm, and the camera was physically incapable of taking the images necessary for the algorithm to function. It's worth mentioning this was for a self-driving car.

Tesla will never come close to a stage 4 autonomous vehicle with the hardware rigs they're currently selling. That said, it'll be interesting to see what improvements they can make with software. Given their over-promise and under-deliver history though (which arguably killed someone), I'll take their marketing with a grain of salt.
If you're just getting into things Elm might be a good bet for front-end. Maybe you'll get fewer contract gigs but the current state of JS is a mess, might as well skip it (for now at least).
Well the answer was probably appropriate for the movie.

At the moment computers can produce art and music but not as good as humans can. By 2035 when the film is set who knows?