skysight-inc/HackerNews huggingface dataset:
So You Want to Trade Crypto - Technical Analysis (Part 3)
But most risks can be evaluated. How does one evaluate this risk?
This programming setup is the bomb.

Zig is designed not only for robustness, optimality, and clarity, but also for great justice.

It's great that Zig is an open source project so all your codebase belongs to us.

I hope 'Zig' takes off everywhere.
Forbes covers exact-match domain name – gets link between domains and SEO wrong
Hi there! This is the 3rd post about trading crypto... this time, we wrote about what we think about technical analysis in crypto trading, which we think pretty important.
No, idiots are naming it as if it's level 5.
Try running a repo for free : )

As you might infer from my comments I'm not the biggest fanboy but criticising them over running a freely available repo that the community has used for years feels a little bit wrong
I thought there would be more of a backlash / winter onset when people realize that Alexa is so annoying to deal with (and you basically have to learn a set of commands) because AI isn't that clever yet. Also, when people realize that autocorrect took a dive for making edits when Google started putting a neural net in charge. (No! Stop deleting random words and squishing spaces during edits).

In other words I figured it would be the annoyances at what "should be easy by now" that would get Joe CEO to start thinking "Hm. Maybe this isn't such a good investment." When measurements are made and reliable algorithmic results attract and keep more users than narrowly trained kind of finicky AIs.

I don't want there to be an AI winter, and it won't be as bad as before. There are a lot of applications for limited scope image recognition, and other tasks that we couldn't do before. Unfortunately,I do agree with the post that winter is on its way.
You mean you shouldn't have to share roads with bad drivers. I do think that this probably makes bad drivers worse and good drivers marginally assisted.
Related: https://vimeo.com/56402326
PiDP-11: RECREATING THE PDP-11/70
I certainly encourage everybody to consult the source material! Man, this is a blog, opinion by default not perfect.

But when I hear the keyword "major advances" I'm highly suspicious. I had seen already so many such "major advances" that never went beyond a circle of self citing clique.
https://youtu.be/ogfYd705cRs?t=6m54s

Edit: also, a blog post with more examples and a link to the related publication: https://ai.googleblog.com/2018/04/looking-to-listen-audio-vi...
It would be good to have also examples of crypto over SOAP, a protocol which is vastly ignored in the wild (REST is preferred for its simplicity) but massively used in enterprise applications.
> I'll bet you twenty one million bitcoin that we live in Cryptomania or Minicrypt!

It doesn't count if it's your own fork...

Great post. I never saw much point in the question, before. I'm still skeptical, but at least it gives a plausible scenario.
is it this: https://www.youtube.com/watch?v=WnzlbyTZsQY perhaps ?
I think there is more than one. This Audi ad from 2016 shows it driving around with no hands on wheel. They don't get as much press as Tesla, and I don't know how good their system is, but it sure does make a bold implication (although their choice of the "Piloted Driving" name is probably a much safer choice than Teslas.

https://youtu.be/I2j2-DqcPfM
To be sure we're all on the same page, there are differences in organic regulation in the US vs the EU. I don't know much about the US situation, but an outline of EU general regulations for organic plants is https://ec.europa.eu/agriculture/organic/eu-policy/eu-rules-... :

> Basic substances allowed in organic agriculture comply with two criteria: i) they are of vegetable or animal origin ii) they are considered to be "foodstuff"
I've used synp. It works both ways
Here, two very much related papers, albeit the title of the first one wouldn't tell you that:

https://arxiv.org/abs/1612.07888 Kurauskas, Valentas - On the genus of the complete tripartite graph Kn,n,1 [2017]

https://arxiv.org/abs/1801.03860 Kurauskas, Valentas; Šiurienė, Ugnė - Symmetric road interchanges [2018]

And slides from 2010:

http://web.archive.org/web/20101127223543/http://www.saga-ne...
If it's so easy to deliver pests which target those crops then why hasn't any terrorist group done it yet? The reality is that it would be extremely difficult, perhaps impossible with current technology.

Farmers aren't stupid. Monsanto has no way to prevent them from using non-hybrid seeds. Farmers will plant whichever seeds they expect to deliver the highest ROI.

Grain production before pesticides was far lower. Back then famines were common rather than something that only happened during wartime. Don't ask us to return to the dark ages.
The argument is that self-driving won't work because Uber and Tesla had well-publicized crashes. But I don't see how this tells us anything about other, apparently more cautious companies like Waymo. There seem to be significant differences in technology.

Yes. I've been saying this for a while. Waymo's approach is about 80% geometry, 20% AI. Profile the terrain, and only drive where it's flat. The AI part is for trying to identify other road users and guess what they will do. When in doubt, assume worst case and stay far away from them.

I was amazed that anyone would try self-driving without profiling the road. Everybody in the DARPA Grand Challenge had to do that, including us, because it was off-road driving and you were not guaranteed a flat road. The Google/Waymo people understood this. Some of the others just tried dumping the raw sensor data into a deep learning system and getting out a steering wheel angle. Not good.
Deep learning maybe not the complete answer to gai, but it’s moving down the right path. Computers though are still years/decades away from approaching human brain power and efficiency, so my take is that current ai hype is 10 years too early - a good time to get in.
> I yet ever heard of infinite loops in loading. Do you have an open issue?

https://bugzilla.mozilla.org/show_bug.cgi?id=1256031 has an example of a page using polymer that runs into this problem.
Last universal common ancestor
More compute -> more precision is just one field's definition of scalable... Saying that DNNs can't get better just by adding GPUs is like complaining that an apple isn't very orange.

To generalize notions of scaling, you need to look at the economics of consumed resources and generated utility, and you haven't begun to make the argument that data acquisition and PhD student time hasn't created ROI, or that ROI on those activities hasn't grown over time.

Data acquisition and labeling is getting cheaper all the time for many applications. Plus, new architectures give ways to do transfer learning or encode domain bias that let you specialize a model with less new data. There is substantial progress and already good returns on these types of scalability which (unlike returns on more GPUs) influence ML economics.
Also, aluminum is expensive to repair.
Yes I’ve had to turn them off on permanently. Felt I could follow video better without sound often than with subtitles.

I tried to help a couple channels to subtitle and the starting point was just sooo far from the finished product. I would guess I left 10% intact of the auto-translation. Maybe it would have been 5% five years ago; when things are this bad 100% improvement is hard to notice.

It is super cool how easy it is to edit and improve the subtitles for any channel that allows it.
What specifically has Monsanto done that was unethical?
I wish all those advanced assist functions in today's upper middle-class cars would trickle down to cheaper cars faster. That would give us much more safety now.

It seems Teslas autopilot cannot reliably do much more than conventional lane assist etc.

Tesla could disable autonomous lane changing and autonomous changing of streets, requiring driver's input for all changes of direction (that are not smoothing out, but staying in lane), and it would be really good.

But Tesla needs the impression of game-changing, not just best-in-class for financial markets reasons.

I believe authorities should order call-backs and force Tesla to disable all traces of autonomy.
Stanford EE267: Virtual Reality
"With a range of 1,427 nm..."

Hm...I'm calling shenanigans.
> but it’s moving down the right path

Time will tell. I think DL is amazing, but is no the right path towards solving problems such as autonomy. I think if you enter this field today, you should definitely take a look at other methods than DL. I actually spent a few years reading neuroscience. It was painful, and I certainly can't tell I learned how the brain works, but I'm pretty certain it has nothing to do with DL.
Not a mathematician, but wouldn't a non-constructive proof would shed some light on the problem so that a constructive proof can be found? In my understanding, computational complexity has a lot of questions we have no idea how to approach, such as P vs NP, and certainly a non-constructive proof -- even of a simpler related problem -- would be quiete handy. Moreover, you seem to have this notion that the only immediate application of computational complexity is cryptography, but this is not necessarily true. Solving problems of computational complexity can help other not-so-related fields of CS such as ML or systems. One immediate reason is that a lot of very fundamental problems are NP Complete, such as graph coloring which appears everywhere in CS such as systems or compilers (e.g. register allocation). Of course most of these problems are probabilistically "solved" with very good heuristics, but this doesn't invalidate further research.
I've seen this talk linked so many times and now that I've finally watched it, definitely recommend it it's pretty good.
A serverless remote torrenting utility
Most constituent lard is made from a pig. And pigs (while quite social) take pretty good care of themselves even if simply/only fed and watered. Depending on your environment, that might well be done by letting the pig go wander about and find feed and water.
I'm inclined to agree with your friend.

This ability of DL to convert streams of raw noisy data into labeled objects seems like exactly what's needed to solve an intelligent agent's perceptual grounding problem, where an agent that's new to the world must bootstrap its perception systems, converting raw sensory input into meaningful objects with physical dynamics. Only then can the agent reason about objects and better understand them by physical interaction and exploration. This is one of the areas where symbolic AI failed hardest, but DL does best.

With some engineering, it's easy to imagine how active learning could use DL to ground robot senses - much like an infant human explores the world for the first year of life, adding new labels and understanding their dynamics as it goes.

I suspect the potential for DL's many uses will continue to grow and surprise us for at least another decade. If we've learned anything from the past decade of DL, it's that probabilistic AI is surprisingly capable.
A true scholar seeks knowledge wherever it may be found.
Bet your house on it if it’s “well on it’s way”
> The speed of the solver is not a problem in any other package management system I've seen

This! I've never heard anyone complain about this aspect of a package manager, EVER. vgo seems to be optimizing for a problem no one has.
That disclaimer wears thinner each time someone does something stupid like this. Tesla can keep repeating it until a third party gets killed or maimed, or it can act responsibly.
Because there is a dearth of experts and a lack of deep technical knowledge among many business people, there are still a great many companies that have not yet started investing in deep learning or AI despite potential profits based on current technology. Non-tech sectors of the economy are probably underinvesting at the moment.

This is analogous to the way electricity took decades to realize productivity gains in the broad economy.

That said, the hype will dial down. I am just not sure the investment will decrease soon.
I've been building a toy project in zig in the last couple weeks. Zig is incredible. After only a short while working with it, it feels like deserves the title of a "better C". With no runtime overhead you get:

* Type inference - var name = "Bob";

* Maybe types (from Elm/Haskell) that prevent NULL ptr bugs and syntactic sugar encourages its use for function return values.

if (doit()) |result| {
// result is always a populated Struct
} else |err| {
// error is always a populated Error
}

// a return type of !Something means Error type or Something type
fn doit() !Struct {
}

* Nullable types - var ?&object = null; if you need it, and var &object = aObject; if you want the safety.

* Great C interop, though there is more work to be done here. (gtk.h for instance is too much for zig today) Zig's approach is unique here too. You specify .h files in the zig source code and the zig compiler translates C in the .h into zig. Its not a function bridge or wrapper, its zig objects and zig functions available to your zig code.

const c = @cImport({
@cInclude("curl/curl.h");
});

var curl = c.curl_easy_init();
if(curl != null) {
_ = c.curl_easy_setopt(curl, c.CURLoption(c.CURLOPT_URL), url_cstr.ptr);
...

* Standard library operations that allocate memory take an 'allocator object' parameter that should give great programmer control over memory management (I didnt get into this myself), webasm is a compiler target, and lots more
Hey, a small advice for the future: never build your belief entirely on a youtube video of a demo. In fact, never build your belief based on a demo, period.

This is notorious with current technology: you can demonstrate anything. A few years ago Tesla demonstrated a driverless car. And what? Nothing. Absolutely nothing.

I'm willing to believe stuff I can test myself at home. If it works there, it likely actually works (though possibly needs more testing). But demo booths and youtube - never.
No, that's not at all clear, and is in fact unlikely; rather: some of the capabilities in the basket of features Tesla calls "autopilot" are associated with lower crash rates, and it's not at all clear which; there are steep reductions in accidents, possibly exceeding Tesla's numbers, from cars with automatic emergency braking. Just because AEBs are useful safety features does not mean that auto-steering is necessarily on net a safe feature.
> more dangerous

That kind of unqualified/unjustified claim is misinformation designed to generate an emotional reaction, not rational analysis.

Nature often produces very dangerous on it's own. It doesn't always take that long. For example, Tifton 85, a hybrid of bermudagrass created using traditional cross pollination methods, has the unfortunate property of producing cyanide in some soils[1].

Testing is important regardless of the techniques used to create a new species. Focusing on species created using modern techniques improperly ignores the numerous older methods that are just as dangerous (and often harder to predict).

[1] https://www.wired.com/2012/06/cyanide-and-poisoned-cows/
correct. thanks.
before fiddling with the attention seeking touch screen

...in other words, the feature partially works around some of the problems they introduced themselves by using an overly complex touchscreen UI instead of the traditional no-eyes-needed buttons and knobs.
No, it hasn't (see upthread, where you repeated this claim).
vinyl vs flac. film vs digital.

Not quite 100% identical, but yeah.
Have you got a specific case for [3]? I couldn't find anything in the original "A Tragic Loss" post that would indicaate that AEB gets disabled when autopilot is off. This is the first I've heard of this behaviour and I'd like to find out more. I was thinking about getting a Model 3...
I'm not discounting the possibility of life on Earth originating from somewhere other than Earth. However, why would the early conditions of Earth not be sufficient for life to begin over say any other object in space with the base elements for life?

How life began is obviously still an unanswered question, but if the conditions for self replicating molecules were sufficient early on for Earth, I'm not sure why billions of years would be needed for life to form versus several hundred million years.
Here’s why you need to stop remembering your passwords
Doesn't uniq only read the input once? I've always assumed that the reason uniq assumes its input is presorted is that, then, it doesn't need to buffer all of it: instead, it just eliminates successive duplicate lines.
You're like Lewis Carroll's Humpty Dumpty

> what I say is always what I mean, and if you misunderstand, it's your fault.

Linguistic pragmatics 101: communication is a two way street.
Yep, I'm aware. I've always felt that the material should embrace what it is -- a crystalline material allowed by nature but manufactured by experts [1] -- rather than attempt to meet naturally-occurring gemstones on their turf. (Yes, crystalline SiC has been found in nature as moissanite, but it is exceedingly rare.)

For some people, geologists in particular, there is a romance to the formation of a natural diamond due to heat and pressure within the earth. That's great too!

[1] Look at your high-efficiency LED lights to find some SiC in your house. Thanks, Cree and others!
As a very concrete "major advance" consider Google Translate's tiny language models [1] that can beam to your phone, live in a few megabytes, and translate photographed text for you with low power usage. This was done with incredibly expensive centralized training, but checks every meaningful box for "scalable" AI.

[1] https://ai.googleblog.com/2015/07/how-google-translate-squee...
No, the NHTSA found no such thing. They did, however, determine that Tesla was not participating in their investigations in good faith.
You’re conflating two systems. Tesla rolled out Collision Avoidance Assist and Autopilot around the same time. Collision avoidance is undoubtably a great feature that’s contributed to a decline in accident rates. That’s primarily what helps you in cases where you “fail to remain alert.”

But here I am asking about the other feature, autopilot, i.e. autosteering. The TOS requires you to remain fully alert when using the feature. So even if it were pitched as a safety benefit that keeps you from lane drifting when you’re not paying attention — you’d be violating the TOS.

So what is the benefit that doesn’t violate TOS? Clearly the implication is — and most Tesla users agree — it lowers the cognitive load while driving. But this would seem to undermine Tesla’s defense that drivers must remain vigilant and attentive at all times when using it.
They shot him a dozen times in the end. Man, when they’ve decided they want you dead (which is what this guy wanted anyway, so no love lost here) they really make sure don’t they!
I love this!
But I get "Sorry <song> not available in your country" for many songs even though I can play them on spotify directly. Some of these songs are actually added by me when DJ-ing. Any reason for this?
Anything for that Genius badge.
It still feels like you are driving but the path of least resistance is always pulling you towards the center of the lane.

...except when it doesn't, and you're forced to suddenly comprehend the unusual situation and react before its too late:

https://www.youtube.com/watch?v=6QCF8tVqM3I
This forum in general values substantive comments like the second comment the OP made and doesn't value snarky one liners like the first one. That's the trade off for the value folks get from this forum. Other forums may have different cultures that may be more suitable for this particular viewpoint.
doesn't this read the entire input into memory? `uniq` and `comm` don't (need to) do this, so they can work on inputs bigger than available memory.
There is a similar-sounding but apparently different project with the same name: "Interim OS is a radical new operating system with a focus on minimalism. It steals conceptually from Lisp machines (language-based kernel) ... It boots to a JITting Lisp-like REPL ...

https://github.com/mntmn/interim
Purposefully weak, to my understanding, to discourage a secondary market.

I remember an article years ago that went into detail about De Beers' manipulation of the market, and how change from "larger is better" to "clearer is better" happened just as a large mine outside of De Beers control opened that had quite a few large diamonds coming from it on a regular basis. That same article made some assertions about the secondary market being somewhat manipulated, IIRC, but this was close to a decade ago, so sourcing it might be hard, and I'm also unsure how accurate it was at this point. I think it was about how modern incarnation of idea of giving rings for marriage was also largely manipulated by De Beers.
When the Diamond Age arrives, it's going to be amazing. For a sneak peek, look up "diamond-like coatings", already in use in physics experiments and industry.
Or you know, just not buy gemstones, especially diamonds that cause many of the issues you mention.
I always find it really confusing when the command-line begins with a redirect.
This is a deep, significant post (pardon pun etc).

The author is clearly informed and takes a strong, historical view of the situation. Looking at what the really smart people who brought us this innovation have said and done lately is a good start imo (just one datum of course, but there are others in this interesting survey).

Deepmind hasn't shown anything breathtaking since their Alpha Go zero.

Another thing to consider about Alpha Go and Alpha Go Zero is the vast, vast amount of computing firepower that this application mobilized. While it was often repeated that ordinary Go program weren't making progress, this wasn't true - the best, amateur programs had gotten to about 2 Dan amateur using Makov Tree Search. Alpha Go added CNNs for it's weighting function and petabytes of power for it's process and got effectiveness up to best in the world, 9 Dan professional, (maybe 11 Dan amateur for pure comparison). [1]

Alpha Go Zero was supposedly even more powerful, learned without human intervention. BUT it cost petabytes and petabytes of flops, expensive enough that they released a total of ten or twenty Alpha Go Zero game to the world, labeled "A great gift".

The author convenniently reproduces the chart of power versus results. Look at it, consider it. Consider the chart in the context of Moore's Law retreating. The problems of Alpha Zero generalizes as described in the article.

The author could also have dived into the troubling question as of "AI as ordinary computer application" (what does testing, debugging, interface design, etc mean when the app is automatically generated in an ad-hoc fashion) or "explainability". But when you can paint a troubling picture without these gnawing problems appearing, you've done well.

[1] https://en.wikipedia.org/wiki/Go_ranks_and_ratings
And for basic station keeping in relatively predictable stop and go traffic. It relieves you of some unnecessary micromanagement but it's not autonomous.
Millions of U.S. Homeowners Still Under Water on Mortgages
Nautical miles.. it should be capitalized NM.
True, but then again Google/FB/etc offer better access to a more targetted audience at a reasonable price.

I’d consider using something like this if I had already deployed marketing capital elsewhere and hit diminishing returns. These are more akin to gambling in my book.

Not to say that polygon-based geofencing doesn’t work. It does, but with larger, less dense locations where the lower fidelity is good enough.
How to Survive an OpenStack Cloud Meltdown with Ceph