skysight-inc/HackerNews huggingface dataset:
Successful robots will multiply and scarcity will continue to exist its just a question of where. Energy and water for example. The world wont suddenly achieve equilibrium. Money will still be relevant to trade in things that are scarce. Therefore the focus of capitalism may switch but there will none the less be capitalism and plenty of it.
Of course.

That's like asking if gravity will still exist in 100 years.

No system has ever been more efficient than free markets, and robots will only help with efficiency. The only way to kill capitalism is by the state.
This is called a "moat". Build it for your company, it's a good thing for an entrepreneur.

To be significantly successful, you need to stop thinking this way. Start thinking about what benefits you & your company.

It may seem like contempt for the consumer, and perhaps it is. But it's also possible the consumer is irrational and you can benefit in the short and long term.

I work in marketing, and have seen scant evidence for the value of a "brand". It's mostly branding people making an argument that comic sans devalues our brand, whereas the data clearly shows it doesn't.

The "long term harm" argument is indistinguishable from "i know better than you and I want it this way." It may be true, but it's unprovable.
Having integrity, being able to judge people, and being a smart thinker? That's how you measure the leaders of an organization which was heavily influenced by the management principles of W. Edwards Deming? Have you even read Creativity Inc? Ed Catmull himself said, "As we struggled to get Pixar off the ground, Deming’s work was like a beacon that lit my way."

Get a used copy of this book and read it cover to cover: https://www.amazon.com/Leaders-Handbook-Making-Things-Gettin...

Chapter 2: The New Leadership Competencies:

- Competency 1: The Ability to Think in Terms of Systems and Knowing How to Lead Systems

- Competency 2: The Ability to Understand the Variability of Work in Planning and Problem Solving

- Competency 3. Understanding How We Learn, Develop, and Improve; Leading True Learning and Improvement

- Competency 4. Understanding People and Why They Behave as They Do

Those sound a tad more concrete and believable, don't they? That's an understanding of reality that might help you be a better leader to an organization that actually works. Dismiss the surface-level personality games and get yourself into the scientific reality of organizations, and you have a hope of leading one well. There are no missing parts—the whole system is important. That's the leadership secret.

My bet is that the leaders described in this post are better described by the above characteristics, and they more reliably predict leadership success, than any of their individual traits or abilities. Certainly Ed Catmull, who was himself a big believer in Deming's way of managing companies, fits that model, and Steve Jobs was heavily influenced by Deming and Juran in creating a system able to produce extraordinary quality. In fact, the whole Pixar team this post is about was more heavily influenced by Deming's concepts than any trite personality fluke, yet that influence is entirely ignored here.

This is forgivable: it's attribution bias. We instinctually want to attribute to the greatness of the individual that which was actually more nuanced, the outside factor in this case being a great body of knowledge about management and leadership that led them to be extraordinary.

Now you know. Read Peter Scholtes' Leader's Handbook, read Creativity Inc., and keep thinking about it. There's way more to it than just having integrity, being able to judge people, and being a smart thinker. If excelling at those were all it took, we'd be up to our necks in extraordinary leaders. Must be something else, then.
As far as I remember, doesn't Docker for Mac create a VM and then run the docker containers in the VM? That'd explain the terrible filesystem performance.
I think there's sometimes a lot of marketing and hand waving in this type of argument "crashes go down with autopilot". Most car accidents are caused by drunk or old people, and they drag the average up. if you tell me a Tesla autopilot beats a drunk guy it won't surprise anyone. Now as a non-drunk, young(ish) driver but experienced and careful, my statistics don't look anything like the average, they look at lot better. You have to convince this demographic, not beat the averages otherwise it's not rational for me to buy the feature. I'm guessing this goal post is a lot harder.
In this case particular case, what is being shown is that channels in itself are pretty simple concept, especially when done on top of language with preemptive multithreading. Same thing can be implemented in essentially any imperative language with necessary primitives by code that looks more or less exactly same.
The question is more of what society values. One can make an excellent case that Capitalism is suboptimal, but of course it is ruthlessly efficient. The two are separate questions.
Kind of like Twitch vs Youtube even
(Author here)

This is a great question! There are at least two scenarios where having a meta-learning setup could help. The first is to learn the fast RL algorithm in simulation, by having a distribution over real world environments (varying physics, textures, etc), and then run it in the real world. The second is to learn a fast RL algorithm over a wide range of tasks (for example, on a set of training games in Universe), and (hopefully) generalize to unseen games, analogous to generalization in supervised learning.
Ideally, I would prefer a similar software written in a C syntax style script language like JavaScript/NodeJS or PHP, or Lua.
I'm confused. You think young(ish) people need to be convinced to buy semi-autonomous vehicles? If they can afford it, why wouldn't they buy it? People love things that make their life more convenient.

In my experience, its the older people that are somehow scared of the concept of a self-driving car and would need to be convinced.
I haven't yet. Any good getting started guides/tutorials you could recommend?
Complete fluff. Thank you both. Even the leaders in this specific post had a model and influence, Ed Catmull saying specifically, "As we struggled to get Pixar off the ground, Deming’s work was like a beacon that lit my way." Deming's model of management was based on systems theory and psychology, and was and remains sound. There's a reason for their success other than trite personality traits.
Ask HN: How to recognize an individual dog in an image?
Is it possible to scan a collection of images, and return those that show a specific individual dog? Something like face recognition, but maybe easier, since many dogs can be identified just by body markings.

If so, how would a novice programmer implement it? This programmer is a recent B.S. CSC, with 5-6 years "experience". Any advice is appreciated.
This crosses into incivility, which breaks the site guidelines. Please don't do that.

https://news.ycombinator.com/newsguidelines.html

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We detached this subthread from https://news.ycombinator.com/item?id=13440624 and marked it off-topic.
E-peen ego stroking, magic internet points, brand status, or just being able to downvote, depending on your perspective. If your karma is negative, you need to lurk more before posting and figure out why HN commenting is a whole different beast than your average forum.
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Sure there are lots of losing scenarios. But there are a couple of winning scenarios too, and one - becoming a natural monopoly in mobility services - is a very big win indeed. I assume that the high valuation partially reflects that very small but non-zero probability of success. Sure, the US government doesn't like monopolies, but shutting one down involves proving that consumers are being harmed.

Let's play out the monopoly scenario. Let's also assume that non-autonomous vehicles are banned. I can't imagine any future scenario where that's not true. So we have roads full of Uber vehicles and no other vehicles. The government will choose to get out of the road building and maintenance business. Uber will gladly step in and take on a 100 year lease on the entire road infrastructure. They'll build their own autonomous recharging stations. They'll build the robots that maintain the roads. They'll build the robots that build the robots. Now Uber has really lived up to its name.

So contemplate what an autonomous mobility monopoly would do for Uber's valuation.
> AGI16 is a futureism conference

I would like to point out that the AGI Conference series [1] is an academic conference, with refereed proceedings published in the Springer Lecture Notes on Computer Science [2].

[1] http://agi-conf.org/

[2] http://link.springer.com/book/10.1007%2F978-3-319-41649-6
This is so cool. Where can I find documentation on the following?

IntegerProcessor^ myBlock = ^(int b) {
return a * b;
};

I wasn't aware C supported nested functions.
Maybe point in the right direction: "you might consider a chromecast <short explanation goes here>"
> Everything needs balance of course.

No, not everything.
e.g. scientific facts don't need to be balanced with self-serving quackery.

>PC-ness is all about hiding the symptoms and not addressing the cause

I don't consider myself racist or sexist. I don't believe I've lost anything by being inhibited from making racist or sexist jokes. I've lost literally nothing.

I presume that racists/sexists will continue to be so, whether they make such jokes or not. I also very strongly suspect that they'll still be identifiable as such by their other actions. However, if someone is not acting in any way that could be construed as racist/sexist, then what they are thinking in the privacy of their heads is irrelevant. The important outcome is to ensure that others are not disadvantaged through racism/sexism.

If we are to be judged on our thoughts, then very few would be judged well. That's why we judge on deeds. And speech is a deed.
To be ever so slightly pedantic: regardless of whether we should, we do. We're afflicted with a slew of cognitive biases.
> the middle eastern villager across the globe who's day job is to crush the skulls of living homosexuals and set them on fire

We've asked you before not to do flamewars here. Posting like this will get your account banned, so please don't.

Several of your comments suggest that you're using HN as a place to do ideological battle. That's not what this site is for, so please don't use it that way.
No, because personal integrity is a fairly unimportant concept to leadership, besides being a made-up trait that has almost no meaning.

Leadership is about the ability to understand and manipulate reality. To do that, you need to know about systems, psychology, variation, and knowledge. None of the rest matters. People didn't have to like Jobs, nor even look to him for integrity. Rather they trusted him because he was effective at moving a whole organizational system in one direction toward an incredible result.

It's not integrity that matters—but reality. Are you bringing the company, through your model of reality, closer to a result? If not, your model is wrong, not your personality.
As an IT guy with a computer science degree who just hasn't found it worth it to keep up with consumer technology, I also find this helpful.
You repeatedly crossed into incivility in this thread. You also broke the HN guidelines by going on about downvoting. Please don't do these things.

https://news.ycombinator.com/newsguidelines.html

We detached this subthread from https://news.ycombinator.com/item?id=13439901 and marked it off-topic.
Suppose we get to robots doing almost all the productive work, with humans living on basic income. Would markets still direct the work? I think so. http://e-drexler.com/d/09/00/AgoricsPapers/agoricpapers.html explores the idea of an economy of programs that needs to face the economic calculation problem just as much as an economy of people does. It's relatively little-known early work in the lineage of smart contracts and Bittorrent.

Perhaps your best bet to survive the robot apocalypse is to accumulate some savings so that you're one of the capitalists by the time competitive wages fall below the human subsistence level. Robin Hanson discusses this in http://ageofem.com/
I suppose the best comparison would be to compare non-Tesla owners of the same demographic. Are accident rates correlated to SES? Do people who buy luxury sedans crash less?

Just a guess: probably.

Still, I know I drive stupidly sometimes, and autopilot might help.
Besides, it's perfectly possible to fall asleep but with your hands still touching (even gripping!) the steering wheel.
Cruise Automation's self driving car video
We've banned this account for repeatedly breaking the HN guidelines. Please don't create accounts to do that.
I'm sorry if it came across that way, I have a ton of respect for Rust and the Rust community.

I was just trying to say that its design forces discussion of the ownership model to be very early on in the description of the language. It is typically in the first page/chapter of the tutorials I've seen.

This approach doesn't align well with Swift's approach of progressive disclosure of complexity.
Quality Metrics and Texture Compression
Go Is Unapologetically Flawed, Here’s Why We Use It
The less I have to maintain fundamental abstractions, the more energy I can spend building on top of these abstractions. There's a name for this: NIH [0].

While there are some folks [1] that have the time, energy, and brilliance to build things from the ground up all themselves, I unfortunately do not. Moreover, in a collegial work environment, this means the burden is on me to test, document, communicate, and educate on this library. There's enormous additional complexity and risk that comes with building from scratch things like these which change the whole programming paradigm of your application—again, especially in a coworking environment.

[0] https://en.m.wikipedia.org/wiki/Not_invented_here

[1] Donald Knuth and Fabrice Bellard, to name a few.
Note: "CSP" = Content-Security-Policy as defined here: https://en.wikipedia.org/wiki/Content_Security_Policy
A stylistic note: putting quotes in code format like that makes them unreadable on mobile browsers. It's a single-line side-scrolling element with three words in frame at a time that I can only see after lifting my thumb.
> Um... don't you mean "charge" instead of "current"?

"Current" is moving charged particles (usually electrons). In the moment that they're being shed, the electrons charging the satellite become a current.
I would try out rancher. It's kinda like kubernetes but uses docker lingo. Kubernetes has a somewhat high learning curve (what's a replication controller? Why is that different from a pod?). Rancher will even spin up new hosts for you on DO/AWS/anythihg and put them in the cluster.
Ask HN: What to do with excess 2.5“ HDDs
I have a small pile of notebook hard drives of varying sizes that I'm not sure what to do with.

They work fine. I pulled them out of laptops that I upgraded to SSDs.

Other than turning them into portable hard drives by putting them in an external enclosure, what are some ideas?
That's fantastic - thank you for the links.
Completely, what is that? Doesn't that depend on context (as in problem being solved)? Simple is often faster, and these are pretty fast without even trying. There is plenty of room for simple, fast enough code. Owning code you understand is an advantage.
Definitely down to personal preference, but the milk at our Target is generally in better condition, tastes better, and lasts longer than the milk from Safeway. And the shopping experience in general is much nicer than Safeway.
Just as they have, interestingly, in the airline industry. Most people go to kayak, hipmunk, skyscanner, monondo, etc. The existence of meta search engines are a hint that the service is a commodity and margins will be slim.
Those same drivers are, unfortunately, also likely to be those least amenable to actually using it. Some people I know have expressed disgust toward the idea of autonomous driving; coincidentally, almost all are horrible drivers that I wouldn't want to be with as a passenger.
What he means is that the deduction has been "priced in" to the price of homes/mortgages. In a similar story, a company I used to work for once offered employees a $x incentive to live close to the office. They then found that the price of homes in the area immediately went up by $x.
You might be interested in ReproBLAS too.(http://bebop.cs.berkeley.edu/reproblas/)

It uses a different approach than superaccumulators, which as far as I know was first explored for the purpose of determinizing parallel floating-point sums by the folks working on ExBLAS (https://exblas.lip6.fr/)
An Attempt to Replicate Top Cancer Studies Casts Doubt on Reproducibility Itself
Yeah the flip side argument though is that the clearinghouses are essential to the proper working of the European economy, and the regulators want to make sure they have the legal power to actual regulate it.

That is problematic since the UK will no longer be directly under European regulatory control. Like, what if London clearinghouses massively screw up somehow, and leaves Europe on the hook?

Having control over your own economy's plumbing might be a vital strategic interest -- it's the same rationale for restricting free trade in weapons, for example. Of course, the European banks have a naked self-interest in making that argument as well.
Yes, I was very lucky. I was actually one of the first few employees, and I joined about a year before they raised their series A. Now they are a unicorn, and hopefully on their way to an IPO.

I don't know if I would say I joined a "unicorn within unicorns". Every unicorn has at least 10 early employees with the same story, and according to this list [1], that's at least 1,850 people.

I don't think the company was QSBS-eligible. At least, I've never heard that acronym while reading through all of the paperwork. And yes, the shares were NSOs.

I don't really have an investment portfolio, apart from these shares. I've been working as a part-time freelancer while I try to build my own startup ideas, so I'm not really saving for retirement. The IPO should only be a few years away, so I'm just going to wait and see what happens.

If everything falls apart, I'll try a few more startup ideas. If those fail, my backup plan is to spend 4 years working full-time, living frugally and saving as much money as possible, and then retiring in a country with a very low cost-of-living. I can save around $130k per year as a remote software engineer, and I only need $500k to retire comfortably.

[1] https://www.cbinsights.com/research-unicorn-companies
There's financial data out there, but Uber won't provide official financial data to banks for their customers to scrutinize. That makes it hard to assume that everything is both on-the-level and healthy.

Edit: Anyway, what I believe is irrelevant. I don't have the option to invest (aside from getting a job there) or short.
That's very nice. It's surprisingly similar to the Pascal-F verifier I worked on in 1983. I recently found the sources for that, and since they were approved for release, I put them on Github.[1] (It's not runnable yet; passes 1 and 2 now work, but pass 4, which needs to be ported to a more modern LISP, doesn't.) The approach is amazingly similar - automatic range and bounds verification, entry and exit assertions, pure functions can be used in assertions, additional lemmas can be proven.

Here are some Pascal-F examples that passed the verifier.[2] "bubble.pf" is a bubble sort. "circle.pf" is a circular buffer. Everybody who does verification work does those. Note how close these are to the similar Dafny examples. The terminology is
different but equivalent; Dafny uses "requires" and "ensures" where Pascal-F used "entry" and "exit". Dafny used "old(f)" to talk about the old value (at function entry) of a variable, while Pascal-F uses "f.old". Both systems have lemmas, proved
recursively with some extra effort by the user.

A more useful Pascal-F example is "engine1.pf", which is a simple engine control program for an auto engine. This has concurrency and real time constraints. Proof goals include proving that the spark is fired exactly once per cylinder time, and that if the engine stops rotating, the fuel pump is cut off.

Past this level, the next problem is scaleup. What do you want to prove about a large program? These simple verifiers don't address that. However, this sort of thing is really good at preventing buffer overflows and other things which break the program in a low-level way.

I'd like to see Rust have Dafny's level of proof capability. This would help deal with "unsafe" code where the programmer claims Rust's invariants are preserved. Most of those situations just require proving that some assertion holds both before and after some data manipulation, even though there are moments when it doesn't hold. Verification technology is quite capable of that, and has been for a long time.

(Having 3000x as much compute power as we had in 1982 helps a lot.)

[1] https://github.com/John-Nagle/pasv
[2] https://github.com/John-Nagle/pasv/blob/master/src/Examples
https://en.wikipedia.org/wiki/Blocks_(C_language_extension)

Probably, you can't use it.
IMAP is currently in beta for protonmail users.
Sometimes due to heavy rains or unfavourable weather , getting a uber or even a normal cab becomes really difficult. I am from India ( so it happens here) . Facing that kind of situation may deter from people giving up owning a car.
On eve of take-over of the US government, Google issues critical policy updates
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Can Uber make it 5-10 years losing $3 billion per year?
Yes. Capitalism will exist so long as there is scarcity. Humanity has proven that when technology gives us abundance, we will reproduce until there's scarcity again. Machines can make things more efficient, but not faster than humans breed.
Odd. I reported this very same form of vulnerability to the Ansible team in the 1.5.4 series in 2014, where the code basically eval'd the "facts" discovered from a system under management.

There was this "safe_eval" function which filtered input in a way quite inconsistent with its name. The Ansible team was responsive and pleasant to work with!

https://groups.google.com/forum/#!topic/ansible-project/MUQx...

But I suspect lots of remote control and monitoring software products might have security bugs like this where they assume that the returned information from systems under management are trustworthy.

Edit to add: Here's the patch made to safe_eval in 2014. I had suggested using literal_eval instead but I guess a Python 2.6+ requirement wouldn't work.
https://github.com/ansible/ansible/commit/998793fd0ab55705d5...

Edit again: Ansible is a pretty great product, and IMO one of the first of such tools to seriously improve the UX for sysadmins. Thanks for maintaining it!
Very cool to see python used in production and something hosted on GCE for a change. And score another win for hash tables. What happens in the event the instance holding the in memory table goes down?
How to prepare your Store's front end
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> The problem is that this leads to a proliferation of different libraries, all doing similar things.

This is not "left-pad" either. I'd say you have the same problems in C or C++, where people are reluctant to depend on libraries they don't control or appear to be bloated (boost, etc.). As far as Lisp is concerned, this post talks about the problem more directly: http://fare.livejournal.com/169346.html