skysight-inc/HackerNews huggingface dataset:
There are two points being made here by you and the original commenter:

1. Social interactions at commercial centres are valuable and Amazon and others who follow will be unable to offer such value.

2. Social interactions at commercial centres are more valuable than the beneficiaries are conscious of.

#1 I think we all agree on. #2 is the critical point and the degree of which is arguable and would swing Amazon's innovations between good and bad.

Let's imagine that on average, whenever someone goes into a shop and interacts with another human they are gaining 50% of their social wellbeing (i.e. a lot). Let's also imagine that on average whenever someone goes into a shop and interacts with a human they leave believing they have gained only 1% of their social wellbeing (i.e. not much). Such a person is likely to stop shopping at a shop with tills and cashiers in favour of a humanless shop such as Amazon Go. However that would likely be a mistake because they would lose half of their social wellbeing without even realising. This in my opinion would put automated shops into the category of a socially 'bad' thing.

Now imagine the actual social benefit of traditional shops is 5% (not huge but not insignificant) and the perceived social benefit is also 5% (i.e. we're fully aware of this benefit). In that case, people should be able to make the choice of which kind of shop is best for them based on a complete set of information. This in my opinion would put automated shops into the category of a socially 'good' thing. They offer more choice coupled with the relevant information to make that choice.

The discrepancy of perceived vs actual benefits can explain why we make the wrong choices with regards to a lot of market decisions from driving a gasoline car to eating at a restaurant. The best way to determine whether a market option is socially good or bad is to try to measure this discrepancy, see if it exists and if so, is it significantly large?
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I've read that when you're instructing a child to do something, whether you're a parent or a teacher, you should never end the instruction with "Okay?".
1. Games are great for studying intelligent agent behavior and intelligence itself. An intelligent agent will find hidden abstractions and patterns in a large dimensionality. Language understanding, vision, decision science, solving long-temporal credit assignment etc. all are present. Russell & Norvig (2003) considered goal-directed behavior as the essence of intelligence. Also see possibly the first papers on AI and their focus on parlor games: https://en.wikipedia.org/wiki/Theory_of_Games_and_Economic_B... & http://www.loebner.net/Prizef/TuringArticle.html

2. This platform will provide a test bed for AI algo's and help "democratize" AI. One does not need to set up their own platform. One can compare approaches. One can learn from other implementations running on a common ground. Being resource constrained forces one to be more creative and this paves the way for more energy-friendly methods. Sure, a high school student will not dominate the power houses like DeepMind et al. But the high school student can get up and running in a week or few days.

3. https://arxiv.org/abs/1608.08225 Physics and Deep Learning are well entwined. Deep Learning certainly is a big idea, up there with VC theory and boosting. It exists for decades now, I agree the more recent incarnation was made possible with more computing power and better bigger datasets, and relies less on new tricks. Yet, still tricks are being invented in the recent years that have majorly contributed to better generalization. Dropout being one. DL, and especially the relevant Deep Reinforcement Learning, is not just GPU's, but a lot of new (and budding) theory. One can run Random Forests (and other approaches) on CUDA too. The Neural Turing Machine heralded a whole new, intellectually deep and stimulating, field in Deep Learning, and we haven't seen the best of it yet. There are also fields, like vision, where the other approaches are significantly underperforming relative to DL. Try to train a SVM or RF on ImageNet. Also, one is not required to use DL for your agent. Experiment with the classic approaches and see which is better (https://arxiv.org/abs/1603.04119).

I actually shared some of your concern, not for AI research, but for game development. I thought it was very hard to actually get a good job in that field. Then the mobile game market started booming, and indy developers could make a living. AI has got the backing of all the major players in industry. Instead of pipe dreams and philosophical meanderings, we have actually business-value adding working models now. It is not going anywhere soon.

If all else fails, you remain a good coder or data analyst with a lot of automation skills.
> You're just sending text around.

Unless I'm mistaken, it's using Erlang's distribution protocol, which is not 'just text'.

http://erlang.org/doc/apps/erts/erl_dist_protocol.html

As to whether some other form of sharing data between Ruby and Erlang is more appropriate, I'm sure it depends entirely on the application. At $current_job - 1 we used the Java/Erlang libs to let Android and Erlang talk, and it worked pretty well. We did not need other systems to access the same data, or the additional overhead an extra piece of software would have required.
I might be wrong but I think this was created mainly to monitor progress in AI research. If someone uses OpenAI Universe and can get better results than virtually everyone else, they will be able to get to them first.
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Hey Michael, thanks for the post. It seems like most big companies started out of projects people were making for themselves in the early days.

Why do some projects evolve into behemoths, and when do you advise people building projects to start talking to users?
> They don't go to the grocery store for social interaction

Yes, they do. It's a human need. Many people satisfy it that way.
You can listen to it on the website - http://breakingintostartups.com/ or Soundcloud https://soundcloud.com/breakingintostartups
When we were selling our home we didn't have a good idea of what it was worth so we called an appraiser and the first think he asked was "what are you selling it for?" Then we found out that even if we paid him a couple hundred bucks he wouldn't even come out and inspect the house before "appraising" it.

We ended up just guessing high and lowering our price a couple of times until someone bit.
Once nice thing is you can one run controller app in a docker image, useful if you have an unraid setup or similar. A lot cheaper than buying their little cloud key.
Read it on your suggestion. It was pretty good.
I thought I agreed but then I read this guy's pinned tweet thread, and he is being very demeaning of other people "Shut up David, no one likes you" https://twitter.com/thejameskyle/status/788799662438227969 (I don't care if he's being sarcastic or teasing, this isn't the attitude that makes people feel uplifted).
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The mods did well there, I agree, but it was the top-voted comment for a fair while (most of the working day, European time). Perhaps that says something about European vs. American attitudes on such thing, I dunno (I'm European).
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Not invested in this discussion, but it sure is refreshing to see someone change their mind in "real time" and show self awareness. I appreciate that!
Ask HN: Developers - what is your Company type? Development process/stages?
I think anyone who uses the phrase "means of production" was probably already familiar with Marxism.
Amazon "All Store Jobs" Go! Not sure how new administration going to respond to this.
> If you excluded trust sales and probate sales or family-to-family type Quit Claim transfers (where the property is transferred at a considerably lower value from its market value) shouldn't the Zestimate reset to the exact amount of the property's last sold price?

No, it should not. My personal example: When I bought my house, I bought it for 20% less than what Zillow said. But Zillow would have been right on the money if my house were in average condition. But it wasn't, it was unliveable. The first thing we did, before we moved in, was spend 9 weeks renovating it. Even then we didn't even bring it up to the local average. It took us five years to finally finish all the work.

Zillow estimates assume the house is in average condition, because they have no way of knowing otherwise.
A hash map doesn't solve the same problem. Given a collection of routes, you need to find the longest one which is a prefix of the given URL.
HN definitely has a strain of tech "fad following" and cult of personality going on, in my opinion. There are certain languages, frameworks, companies and individuals that, if one comments negatively about, will earn more than one down vote.
Doesn't that even more show the value of just being around other people? It's definitely a lot cheaper to drink your own booze at home.
I was hoping they'd give some examples with the heap size needed for a given dataset size, but I never found them (looked through http://hollow.how also).

I also wondered what you do when the heap cost gets too large. The Tooling section has a section on splitting/sharding I think answers my question.

Finally, I wonder if/why keeping all the local data in RAM is a hard requirement. For example, I suspect you could build a similar producer/consumer delta/snapshot mechanism, and shove all the data into something like a local SQLite db. Or even just serialize their heap format to disk, and then mmap it. I suspect the answer is latency, and that they have the $$$ to spend on RAM and machines for sharding.
So who decides where you spend those couple of minutes? I feel like I should decide if I want to go spend time on Facebook or interact with someone on the corner who is singing. Effectively forcing me to spend the time with the person on the corner singing may in fact be the best thing for me, but I think the choice is still more important.
I'm sorry, but having lived in the times where sourceforge was the old github, this strikes me as quire absurd.

Firstly: sourceforge was widely used and was also hosted – the architecture didn't really change.

Secondly: Github is simply the best thing that ever happened to OSS. It's a fantastic interface that allows you to:

- Immediately get a sense of the project: You know where to look and can quickly scan Stars, Issues, Checkins etc.

- Makes contributing a no-brainer: I never ever sent anyone a patch by email. With GH, it's basically more difficult NOT to contribute back.

- Makes forking easy: OSS projects often stagnate. Now, someone can fork the project, maybe update the dependencies and get it running again in half an hour or so. There's a graph right there showing you all the forks, so it's easy to figure out which one you want to trust.

- Makes discovery easy. I check the trending repositories every few days, and there's no better way to learn than to get lost reading other peoples' code.

- The whole industry of CI platforms etc. being given out for free to OSS projects was created around Github.

So I'm quite happy people are happy to "relinquish control of their data", considering I don't even know what that's supposed to mean in the context of OSS.
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> No wonder R and Python are the only languages popular in ML

R is a curious counter-example, given that the '%>%'[1] operator in dplyr is nearly identical to the '|>' operator in F#. Given dplyr's ubiquity, it would seem that people coming from R would have no issue with F#.

[1] https://cran.rstudio.com/web/packages/dplyr/vignettes/introd...
I upvoted you, but I want to also vocally agree with you because I think it's important. Even if you don't come away agreeing with the conclusions of Marxist economists, etc., understanding it is worth the time it takes. Considering theories that are not automatically in agreement with those that currently run the show is valuable.

(This is why I've read a solid chunk of the Austrians. I generally laugh at them. But I've read their stuff and I can think in it once I get into the mindset.)
That and they also have an officially supported migration path from Angular 1 called ngUpgrade which allows Angular 1 & 2 components to communicate with each other so you don't have to do a big bang rewrite.
Make a YouTube channel about these computers if it's enough unique and enjoyable you could pay for this hobby.
I'm mean many people has some expensive hobbies be it gaming, buying many types of Manga and anime, buying merchandise and comics.
If you don't like that you spend so much on these computers then find a way to force yourself to stop.
Be it self help book or something else.
I always tell folks to start talking to users from day 1 :)
Of course. As I said above, we all have to live with our personal realities and behave as adults. But I can't help feel that your answer is exactly what I'm arguing against. It feels right, but it lacks compassion or insight into other aspects that are just as valid and germane.
The second one has plagued me with a couple kubernetes clients I've written, but something about your restatement of the problem struck me with (IMO, of course) a nice idiomatic solution: a "debounce" fan-in (ish) channel between the ResultChan() and consumer that bundles up watch notifications after some configurable wait period. And actually, it's a common enough use case (I'd definitely use it too) that I'll bet it would be useful to have in client-go itself.

And secondly, I would love to see this kind of concept upgraded to a first-class citizen in kubernetes. Essentially, I think an equivalent of `/etc/environment` for your cluster would be a powerful way of generalizing app components. It would be great if just placing resources in your cluster allows them to pick up at least some of their required configuration, much like customizing `/etc/environment` does for *nix machines.
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Is this more or less useful than C bindings in either language?
> Mark my words. Beijing is the biggest competitor to Silicon Valley in the coming years.

Been hearing that since 2009. Any day now. I'll believe it when Peter Thiel moves to Beijing along with other Silicon Valley VC.

Obviously that isn't happening and why, the richest Chinese citizens are moving to SV permanently. Why would they permanently move all of their assets if they believed in China?

There's an important distinction between imitation and innovation. What Chinese product have reached the scale American grown SV companies outside of their own borders where they won't have the same level of protection from their own government?

I can't think of any. I don't know any white people using WeChat or Baidu because FB messenger and Google isn't good enough.

It doesn't help the rest of the world speaks English while Chinese pumpers insist that eventually everyone will speak and write Mandarin, which is syntaxtually and linguistically a lot harder to learn and use. I'm certain Japanese thought the whole world would eventually learn Japanese...in 1989.

It's hard to have an objective debate when the answer to everything is because China is big.
>>Looks more like they are copying the syntax (surface structure) of the valley rather than the substance.

Echoes of cargo cult science[1].

[1] https://en.wikipedia.org/wiki/Cargo_cult_science
They allow you to match the URL in a series of steps. Where each step can be static (ie "/foo") or dynamic (ie /images/).

You can then easily add features to this structure, like route middlewares at every level in the tree; just apply them while doing the routing.

This also allows you to match route variants easily, ie "foo" and "foo/" are the same, so are "/" and "/index.html". In the same way you can extract query parameters for middleware/handler use.
Facebook is the only social network (if you discount Linkedin) from 2005 that's not just existing, but thriving today. All the other social networks that succeeded (except for SnapChat - which also has an incredible CEO) are owned by Facebook. And he made bold bets by acquiring them for unbelievable amounts ($1B Instagram, $18B Whatsapp). While companies like Twitter and Pinterest have essentially stagnated, Facebook keeps growing and growing, and so do all their acquisitions. And they have incredible product momentum despite their size. They have incredible revenue momentum.

This is not accidental. Zuck has shown amazing maturity and judgement in not just making the right decisions but convincing those founders to accept his offer. He turned down a billion $ acquisition offer early on, and bought Whatsapp and Instagram in bold bets and tried really hard to buy SnapChat.

= boldness in making the right big move

= maturity/good judgement in making good decisions
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Well, right now the U.S. has spent about $4 TRILLION on bombing countries in the Middle East... Maybe we could use some of that money for a better purpose.

The world has enough money to do these things, it's just a question of priorities and replacing greed with compassion.
Basically, yes. Fabs are hugely expensive and they can only pump out so many wafers. The article is saying that it looks like demand is outstripping the capacity of the fabs to increase supply.
no, all of you idiots CHOOSING to use facebook simply kills democracy for the benefits of yourselves.

you're all completely pathetic.
If there's a large enough market for it, then someone will continue to build it.

People said the same thing about DVD stores -- yet the numbers didn't back it up. People stopped going.
Are you thinking of laws along the lines of biological evolution or physical laws of motion, where very simple ideas can produce extremely complex emergent behavior?

If so I think a layman law of ML is already understood.

To draw an analogy, some programmers might use trial-and-error to produce programs by fiddling with a few lines of code, seeing if it pass more unit tests, repeat.

If you believe that a human brain can be represented by machine code, then given infinite time, that trial-and-error programmer can write down the "source code" of the brain.

Then machine learning is just a "turing complete programming language"(i.e., a neural network architecture) with "source code" (in the form of matrix weights) where "passing more unit tests" is done by numerically following a gradient to update the "source code".

Everything else is just finding a better "programming language" that can make this run very fast on our current machines.
What you, as a customer, value doesn't really matter.

If this were true, the shopping experience would be very different for all of us! Stores would look like Soviet-era warehouses, with everything done at the least possible cost.

In reality, customer experience matters a great deal. That's why you see companies like Amazon creating these sorts of innovations.
But still, you can go to Amazon and get something like this: https://amzn.com/B01IAGSD68 at 22 cents/GB, 510/530 read/write speeds, 92K/83K random read/writes.
They are not professors... And in many if not most cases are doing work that could be done by anyone with a good Bachelors or Masters degree.
We've tried extremely hard to ensure that Google cannot tie this information to other information. It uses a randomly generated UUID that you can change at any time and we request IPs be anonymised using the documented method (and I see no evidence that Google lies about this). When there's an alternative that is provided to us for free, can handle our load and stores similar or less personal information to Google Analytics we'll consider it. So far there's been a few offers of help but none of them have met those requirements.
I don't think this has anything to do with cars.

I live in Seattle. Many neighborhoods are very walkable. I can and do walk to grocery stores all the time. No, I don't know the cashiers personally. I also have to wait in long lines quite often.

When I lived in New York, one of the most walkable cities on Earth, it was even worse: long lines and anonymous, interchangeable cashiers.

I grew up in a small town where everyone drove to the grocery store, and that's the only time in my life where people knew their cashiers and genuinely cared about their lives.
"People" don't. It's a required part of the due diligence to get a mortgage. No appraisal, no loan.

For the most part, the banks and brokers re-sell those loans immediately, so they don't stay on their books. All they need to protect them from lawsuits later is proof that they followed the process to the letter -- which involves getting a written appraisal.

No mortgage broker or Realtor ever got rich by picking a fight with the appraiser to lower the appraised value ... there is literally nobody present at the table who has an incentive to push the value down.
We have minimum wage as well and they are simply excluded from that. Problem, where? You pay a shitload of money to study, while you actually get paid doing your apprenticeship. It's a win-win.