skysight-inc/HackerNews huggingface dataset:
On the agriculture topic NASA has been working in this area for a while:

https://www.nasa.gov/missions/science/biofarming.html

As I understand it growing crops in a small, sealed environment requires much more precise understanding of how plants behave than you do for traditional Earth-bound farming.
Also, does anyone fancy designing a Rust Evangelism Strike Force T-shirt? Because i would absolutely buy one.
The legal and healthcare industries being disrupted by AI would be preferable. That's where a lot of inefficiency exists. Both of those are making it very hard for "normal people" to afford legal help or good medical care, due to how expensive they can get. If a single lawyer could use an AI to do 95% of his or her work, I imagine that would drastically cut his or her total fees.
What's the endurance like if you actually use it as ram? How many times can you do a "label1: inc [rax]; jmp label1" loop having rax pointing to a particular byte address on the SSD? (With GHz CPUs, wouldn't that mean giga-writes per second? Isn't NAND rated for 10k-100k writes total, and if this is rated for 1000x more than that, you'd still hit a 10m-100m total writes in like a second?)
Here is a Typescript discussion on the issue: https://github.com/Microsoft/TypeScript/issues/8
Show HN: A guide for non-technical friends and relatives about staying safe online
> I really hope that Uber serves as a warning to companies who think they can ignore customer complaints. I've never dealt with such an opaque company in my entire life, in terms of getting any actual human support whatsoever regarding anything.

I've had positive experiences interacting with Uber support. The few times I've contacted them via the app to report an issue with a ride I've gotten a response relatively quickly and I think every single time ended up with them crediting me back either the full value of the ride or at least a token amount. As a customer, I think Uber's been awesome.

But that's not what any of the recent talk about Uber is about. The issues are about being there as an employee, the culture they promote, and the values they espouse.
I think the quote does a great job at explaining why a lot of people have been critical of labeling the recent breakthroughs in Machine learning as real intelligence. Most people define intelligence in comparison to humans. Things like being the best GO player in the world are so specialized that they don't seem very human at all.

Most people will not be impressed by a machine that can master backgammon, chess and poker, despite it being a great technical feat. They would be impressed by one that can successfully teach a 5th grade math class, even though there are hundreds of thousands of people who can do this.

This would require more than teaching the kids math, but also how to deal with the kid who loses a parent during the school year. How to deal with bullying in the class, with misbehaving students. None of it is "specialized knowledge" like playing GO. And we are nowhere even remotely close to this.
also maybe the uncluttered interface
Releases, like "alpha versions of a completed game"; or like "statements about progress"?
Certainly some very clever people are trying it, and have been since the 60s at least, but as far as i am aware the progress is limited (but it is not my area of expertise).

I think the main problem is you end up needing a language to describe the problem, and that ends up limiting the problems that can be solved, or you have to explain so carefully what the problem is it feels like cheating.
My impression of Elixir and Erlang are that they are the only dynamic languages I'm aware of that seem to have dynamic typing for solid technical reasons. Many languages are dynamic just for user experience reasons. But the way the BEAM VM handles hot code swapping, concurrency, and memory management, etc, required using a dynamic language. (As far as I'm aware?)
Given that he quit just in six months, probably he did not even wait for his RSU grants to mature (1 year cliff for stock grants). The situation might be much worse that what appears.
I've also become cynical in this regard - "better in the long run" often means that entire generations of people will suffer, which is a huge societal impact in the end. It's even scarier when you consider this new industrial revolution will need even fewer people, which means wealth will be redistributed even less, and will probably bias those who already have access to capital to fund such ventures. More and more I'm convinced that we owe it to ourselves to provide a safety net for every person that allows them to live a decent life without worry for basic needs - UBI or otherwise.

Here's an article about that idea from the POV of startups, though I think it's more generally just a moral thing we should do:
https://www.theatlantic.com/business/archive/2012/02/the-ent...
Memristors theoretically go further than mere storage. They enable the idea of data storage and processors eventually becoming the same thing. I hope they continue with the work because some of what I was reading about it was fascinating - rather than have caches, you could, in theory, write temporary routines that ran in physical locality to the data they had to process.
I fully agree with you there. I have heard that some people referring to the house I grew up in as "Villa Villekulla", which was - amongst other things - due to the garden surrounding it.

On the other hand, I only recognized how incredibly dull it must be to live in some places when I visited northern Belgium and for the first time witnessed whole neighborhoods with the "perfectly trimmed" kind of gardening.
It seems that most people are happier after leaving IT, can you rephrase the questions to who left and is not as happy?
IMO there are only 2 problems in machine learning (ML):

1 Regression - Given a set of vector pairs Xi and Yi, find a function that maps each Xi to Yi minimizing some objective function.
2 Path Finding - Given some topology (typically on some regression output) find the "best" path, given some objective function.

All other problems (classification, clustering, etc) can be reposed as a combination of these two.

Viewed in this way, an "AI" system set on any reasonable test of intelligence would score super-human (defined against the average adult human) with the current set of algos, with one caveat.

If we think of operating systems in say the 90s we would mostly agree that few innovations (evolutions as opposed to revolutions) have occurred when compared to the OSs we have today. It's the development, integration, testing, tools, hardware support, etc that have taken all this time.

So, to the article's point, the AlphaGo system does these 2 things pretty well just as Windows95 did things pretty well. Yet even today I have to restart my computer every time there is the most trivial of updates.

TL;DR Super human Audio/Visual/NLP ML == AI is both here now and a long way off.

One could probably cut this to one but stating it would be very convoluted. Also "pathing" problems are typically non-convex and real-time whereas regression problems are typically not.
> Some think the excitement around Artificial Intelligence is overhyped. They might be right. But if they’re wrong, we’re on the precipice of something really big. We can’t afford to ignore what might be the biggest technological leap since the Internet.

1. We need to work on big things whether or not they're overhyped and whether or not we're on some precipice.

2. Those who think what marketers call AI is overhyped (myself among them) don't think that it isn't something really big. Even though we haven made very little progress since the algorithms that power most modern machine learning were invented fifty years ago, there is no doubt that machine learning has become quite effective in practice in recent years due to advances in hardware, and heuristics accumulated over the past decades. It is certainly big; we just don't think it has anything to do with intelligence.

3. Are there any machine learning experts who think we are on the precipice of artificial intelligence? If so, do they think we can overcome our lack of theory or do they think that a workable theory is imminent?
I'd say Vilnius and Lithuania in general is a bit like that. Nobody seems to know much about the country other than basketball - as long as you don't mind smaller cities it's a nice place.

Although since the Euro was adopted two years ago prices have gone up, but wages have stayed the same. A basic flat somewhat close to the city centre would be at least €300/mo, and a good white collar wage maybe €1000/mo.
Machine learning algorithms can solve many problems without knowing what they really are, only given examples (sometimes even without labels when unsupervised learning applies).

We are still quite far from anything we could call "human-style learning" though, but definitely getting there (just look at all the recent publications with reinforcement learning and elaborate ways to use memory in neural nets).
The service was operating normally, you just weren't architected to handle a common failure case. Don't blame Amazon, they warned you in advance. They specifically say that they don't consider it a problem if the problem is isolated to one zone, because your app should be able to work across all zones in a region seamlessly.

I'll be the first to tell you that their dashboard underestimates impact, but in this case it was totally accurate.

The system was working normally -- ie. you could still use us-west-1 without issue if you were in another zone.
>"Ok, because there are cases of real estate in NYC, SF, and London being bought to merely keep money from loosing value you conclude that capitalism has failed?"

Nice try, nowhere did I even remotely find fault with capitalism. Capitalism and a urban planning are two completely orthogonal concepts. You seem to be conflating the two an maligning a vote for some kind of housing policy as a vote against capitalism which is just ridiculous. They are not mutually exclusive.

>"The reason for this real estate bubble (money loosing value) being the ECB's and the Fed's inflationary policies"

And try to remember why central banks had to loosen the money supply. Because in 2008 the global financial system was brought to its knees by banks who believed that "the market will look after itself." And who bailed those institutions out? The taxpayers did what amounted into a systems of "privatize the rewards and socialize the risks." Typical neo-liberal bullshit hypocrisy, you have no problem accusing everyone else of "social-romantic nonsense" though.

>"I can only appeal to your computer science skills to analyze the situation rationally"

Spoken like a true technocrat, your'e right there's probably a good formula to explain the problem away.

>"So that some pseudo hipsters in Berlin's fashion quarters can keep living on social welfare"

So you have just reduced a multi-ethnic city with a population of 3 million people to a single narrow demographic. You are obviously trolling.
استانداردسازی اتاق سرور
Ask HN: How to overcome from self excuses?
I give my self too much excuses, also attach some logical reasoning to it but when I look back I know have a more strong logical reason to deny that excuse, sometime I can see that self excuse is giving me pain also. but I am habitual to it, how to overcome with it.
The term AI researchers have used to describe what you are talking about is Artifical General Intelligence. And they've made a distinction because there is no reason an advancement over human capabilities shouldn't be called AI. Sure, learning how to play Go better than any human alive doesn't mean that AlphaGo can learn and interpret languages, but that doesn't mean it's not intelligent. Even human intelligence is not homogenous in its capabilities.

It's obviously speculative, but I'm of the belief that AGI will never exist the way fanciful minds imagine it. Rather AI will evolve slowly, and systems will incorporate small advances one by one until one day we don't really care to distinguish between AI and AGI. It will literally just be a collection of capabilities ("just a computation") that are well understood and have lost all semblance of magic.
>"Facebook’s takeover of online media looks rather like a slow-motion coup. Before social media, web publishers could draw an audience one of two ways: through a dedicated readership visiting its home page or through search engines. By 2009, this had started to change. Facebook had more than 300 million users, primarily accessing the service through desktop browsers, and publishers soon learned that a widely shared link could produce substantial traffic."

It seems to me that the New York Times is just complaining that they can't control the political narrative anymore because the proles can now decide for themselves what news they will read. Thoughts?
Surely YC isn't to blame for the 'vulnerable employees' you speak of?

Why attack YC instead of the ones exploiting those employees, or even the systems that allow exploitation to occur in the first place?

But no, by all means, lock those 'vulnerable employees' into a job that they will be treated as sub-human for the rest of their lives, all in the name of 'job security' (or whatever you think you're preserving).
> With that in mind, does it become harder to attract great executives

A good analogy would be attracting candidates for coaching positions in sports.

If you're a team in a bad situation, you'll have to settle for candidates that don't have the experience usually required for the position, or people who've done it before who haven't had huge success.

Also most great execs are already in a great position - why would they step into a bad situation unless you gave them a higher title or more power?

Basically you get either a placeholder or an unknown quantity. The unknown quantity is just that. They might be awesome (everybody has to have had a first head coaching job) or completely overwhelmed.
I have a feeling that blockchain is more of a solution in search of a problem. Blockchain is really a clever thing and it amazes me in many details e.g. specially when looking at bitcoin. But it still doesn't convince me where else it could be successfully deployed. By this I mean: in which domain we really need all of those guarantees of blockchain and at the same time accept all the disadvantages.
Why do you expect people will be trying to build a general_ai.exe? Vertical applications of machine learning and light-AI are what most private comapnies that are getting traction are doing today, while big-cos and universities (and things like OpenAI!) are funding the research that could lead to more generalizable AI.
This is worrying. The surveillance capabilities here alone are terrifying, not to mention the potential future invasive adverts we could be presented with. I hope this doesn't happen in my lifetime.
>the book about patterns

Could you be more specific?
What kind of issues have you had?
Every time I emailed ubers customer support after an unsatisfactory or badly charged trip, I had the trip fully refunded, and the customer contact was pleasant and understanding.
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By "broken" SemiAccurate seems to mean "only twice as fast, 10x lower latency, and 3x the endurance of NAND." So who is misleading whom?
Hacking Final Fantasy 1 on the NES
Ah, interesting. I know NASA were doing some research in aeroponics [1] but I haven't seen anything recent on it. Lot of commercial systems I see don't have a lot of research behind but they are still getting better yields I think.
I also saw an old but interesting system from MIT [2]. It would be very useful to mine data from these to train ML systems.

[1] https://en.wikipedia.org/wiki/Aeroponics
[2] http://openag.media.mit.edu/
Kalanick forgot that proverb we're taught as kids: "Be nice to the people you pass on the way up, because you'll be seeing them again on the way back down."
I found some:

You have a great need for other people to like and admire you.
You have a great deal of unused capacity, which you have not turned to your advantage.
Disciplined and self-controlled outside, you tend to be worrisome and insecure inside.
You prefer a certain amount of change and variety and become dissatisfied when hemmed in by restrictions and limitations.
You pride yourself as an independent thinker and do not accept others statements without satisfactory proof.
You have a tendency to be critical of yourself.
At times you have serious doubts as to whether you have made the right decision or done the right thing.
At times you are extroverted, sociable, while at other times you are introverted, wary, reserved.
While you have some personality weaknesses, you are generally able to compensate for them.
Because YC is both the one advancing AI work and proposing this "solution".
That was always and is universally true, and is in fact one of the basic facts of Chans... and why it appeals mostly to the very young. Chans mostly reflect the teenagers who are their majority users... a lot of style, occasionally a little brilliant substance, mostly garbage invented for thrills.
https://twilightstrategy.com/ This blog features a detailed analysis of each card in the game. It's a useful reference if you want to become a true pro.
According to https://www.transtats.bts.gov/, there were 719 million airline passengers last year. The average human lifespan is 79 years.

Assuming each passenger wastes an hour being molested and arriving overearly due to uncertainty about how long the molestation could take, this means the TSA effectively kills over one thousand people every year.
RE:the embodiment/robotics argument, notice that he has a vested interest in this field:

> Several research labs are now trying to go further into acquiring grammar, gestures, and more complex cultural conventions using this approach, in particular the AI Lab that I founded at Aldebaran, the French robotics company—now part of the SoftBank Group.
What were the pros and cons of that design?
No, I have these people standing in locations on the journey. Each person have information stored in parts of their bodies. Place for scenes encoding birthdays is on their heads, I need to "zoom" there to see it. E.g scene on my girlfriend's head: Joanna Jędrzejczyk (01) is standing in the heap of chestnuts (october), while Adam Nowak (19) is stomping dynamically (71) on something. I'm using PAO ( http://artofmemory.com/wiki/Person-Action-Object_(PAO)_Syste... ) with Dominic System ( http://artofmemory.com/wiki/Dominic_System ) which gives me ability to store up to 6 integers as one image, but I encode months symbolically and not as numbers.
This always reminds me of an idea that I wish were implemented.

I want to be able to pay a single lump sum to have a "digital safe deposit" of sorts. A physically secured file server with guaranteed data integrity over the length of my life that is encrypted in a way which guarantees I am the only person that ever has direct access. Instead of releasing all of your photos, videos, messaging, etc. to random third party companies that will come and go, you could build a safe repository of your entire life's data output. You could then allow API access to this data to any service you wished, under as strict of terms as you wish. These services would compete on the basis of security and customer service, rather than advertising eyeballs.

We sort of have this model with things like Facebook, but the incentives are corrupt because Facebook makes money by spreading your data, rather than making money by protecting your data. It's going to take a rethink of the entire system. It almost seems like there's a need for a government service to handle this.
Very interesting. Cool to get some insight, but there's something that bothers me:

>Poof, the opening is delayed by some months. Then by some more months. Now it looks like it's at least a year

BER should have opened in 2011. It's now among one of the most expensive airports in the world, and it hasn't opened yet and it may yet end up costing much more. Its peers in terms of cost take more than double the traffic it will be able to take. BER is just abnormally awful.
There is a fundamental change in language coming. I believe that within 5 years the latest crop of programmers will begin to write PROVEN functional programs. Program proof technology has taken a giant leap in the last few years. These new techniques are starting to show up at Universities. Those graduates will know how to prove programs and, after the old programmers like myself die off, will simply expect that proofs are normal and required.
If the problem is truly exploitation, then let's attack exploitation.
> decide for themselves

That's in interesting interpretation of what goes on to determine what Facebook shows to users.
Is YC still interested in Solo Founders?
Why Australia is home to one of the largest language families in the world
People who believe in things like Pizzagate are firmly in the 50% I was talking about (to be charitable), and more realistically are part of an extreme base. The degree to which that kind of thing is the result of shilling on Reddit, or just Breitbart and the rest of the crap leaking through is debatable.

Other places, like anything to do with news and politics, is a miserable shit-fest, and would be with or without shilling.
Missed the edit window, but Sandi Gardiner is actually the VP of Marketing. My bad!
I wonder if it's a good idea to apply to Uber. With all the controversy, you could argue for a pretty good salary bump or signing bonus to compensate.

Though, if executives are quitting after 6 months even before their stock vests, maybe it's more than just the outrage machine news clamoring for clicks and views.
It's probably not wise to rely on your provider's monitoring for such critical things. As AWS has proven, their alerts are slow, and even if they weren't, they aren't monitoring the very specific thing you need.

Your best bet is to monitor your own systems, and have enough monitoring in place to tell you that one zone is unavailable without having to rely on AWS to tell you.

Their dashboard has no effect on their bonuses BTW (at least it didn't the last time I asked), but it is slow to update because it is purposely gated by a human so as not to cause false positives, and that human has to manually verify the problem before reporting it, which takes time.
Recent advances in AI/ML (i.e. deep learning) have shown ground breaking progress in a number of fields especially in computer vision problems, natural language processing, and audio processing.

AI is a tool that we are now seeing solve many problems which computers couldn't even touch 10 years ago with better than human accuracy today. This field is very new and there is significant room for improvement and new approaches. IMO, a lot of the excitement comes from the really impressive progress in a short time and a very wide open field of problems still to be explored.
so ? How
I'm not missing the point, I'm contesting it and asking for some evidence of this extremely subtle creep from a place like /r/TheDonald to a place like /r/AskScience.
What about parse time? This is arguably an equally important metric. Make sure throttle CPU and network to simulate a budget smartphone when you test.
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All I'm saying is that it's unfair to discredit the argument that Haskell has been around for 25 years, hence its had more time to evolve a more complete tooling offering. It is a valid argument.

If Haskell didn't exist and had only been launched a few years ago alongside Go, what would the status of its tooling be today? That would be a fairer comparison.

Obviously one can't measure it objectively, but you do have a comparable case with Elixir, I believe. And it's clear that Go surpasses Elixir in traction.

So let's not discredit the merits of Go in such a long time. It definitely has more happening for it now than Haskell or Elixir.