skysight-inc/HackerNews huggingface dataset:
Unfortunately, there is not a drop of numerics in that book. It's a good book for learning about symbolic AI. There is, to a solid first order approximation, zero symbolic AI in a system like, say, Google speech recognition.
If we talk about "hash the password before sending to the server" this procedure is what we're talking about (or something similar). Surely people aren't thinking of literally just hashing the password and sending it on its merry way? If we say "symmetric encryption" we don't mean we're going to do AES(block_n, key) either (ECB mode should never be used for anything).
That's implementing an older version of the WASM spec, hence why you need Canary.
This is for some of the people like me to let you know you're not alone...

I too am at a startup where everyone wheres many hats. I would love to be CTO and not have to take my turn emptying the dish washer or taking out the trash but we are small so everyone has to do their part.

Our marketing team does SEO, usability testing, graphic design, copywriting... and that's just one person.

I would love to have a dedicated person to do trade shows. Heck, I'd love to be able to afford to go to a trade show.

So for all the people out there who are at startups that haven't raised enough money to do those sort of things... you are not alone.
But dogs are animals, just like humans are. They share way too much with us to be a reliable model for predicting non-human AGIs behavior: an evolved drive for self-preservation, a notion of pain or pleasure, etc. An AGI has no intrinsic reason to care that is trapped, or to feel frustrated, or even to much care about being or ceasing to be (independent of whether it is self-aware or not). It would probably understand the concepts of "pain", "pleasure", "trapped", "frustrated" as useful models to predict how humans behave, but they don't have to mean anything to the AI as applied to itself.

As in the paperclip maximizer example, the risk by my estimation is not so much that the superintelligence will resent us and try to overthrow us. It is far more likely that it will obey our "orders" perfectly according to the objectives we define for it, and that one day someone unwittingly will command it to do something where the best way to satisfy the objective function that we defined involves wiping humanity. Restricting it to only respond to questions of fact, with a set budget of compute resources and data (so that it doesn't go off optimizing the universe for its own execution), is probably safeguard 1 of many against that.
Or they're clever guys and gals who got a bit lucky? Its hard to say what the case is without a more comprehensive audit of the codebases in question.
Seems like you're spot on: "Use on stairs is not approved by the FDA in the United States." [0]

[0]: https://www.sec.gov/Archives/edgar/data/1607962/000119312514...
Obviously you hash it with a nonce or challenge.
Aah. Sorry. The non-intrusive version is different substantially and corresponds to the code shown in the post.

http://www.1024cores.net/home/lock-free-algorithms/queues/no...
This may not fit your preconceptions, but the article is saying that Edge is considered a difficult target for hacking.
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> pv

(You probably know this as you use OpenBSD, but) something I really like about BSDs is that nost of the core commands respond to ^T with progress info ofsome kin, dd included.
2,4-Dinitrophenol aka DNP sounds very similar to what you're talking about.

https://en.m.wikipedia.org/wiki/2,4-Dinitrophenol

As I remember, the studies using DNP alongside radiation therapy showed promising results for slowing and reversing malignant cancers.
Ask HN: Has anyone read Introduction to Algorithms?
Maybe I don't have the prerequisite knowledge or brain power but find this book:

a) routinely recommended
b) quite dense and difficult despite having a touch more than 0 knowledge on algorithms

Am I dumb or missing something?
I'll ask our developer to check on this tomorrow. Cloudflare settings appear to be correct.
Very confused as to why this was downvoted?
I don't know if this works but I believe it doesn't.
I'm pretty sure the GP was taking about common law as opposed to roman-style civil law (or other ways of building a legal system)
I don't know a lot about terraform, but it sounds like they are very different things? Terraform talks mostly to cloud provider apis, ansible usually deals with running code on the servers themselves.
Can you give some examples of those countries? Which countries are doing well and have governments that their people are generally happy with and consider representative of the people?
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I don't think I'd want to take credit for a hack like this. I imagine a few interesting phone calls are heading the researchers way.
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Isnt't always like this?
Instead of `cat file | pv > dev` why not `pv file > dev` ?
The tests are the lawsuits.
The ECB invests billions of public funds into the fossil fuel economy
Exactly. There would be no locals visiting if prices were only targeting tourists, and no attractions if prices were only targeting locals.

This is of course only in cases of low income countries.
I'd rather see this money used for increasing software security through all layers. [1][2]

See, all these vulnerabilities started as major or minor bugs. And these originate from somewhere. While 100% bugfree software may be too hard to be worth the effort in most applications, there is a huge difference between the ideal state "the first exploit hits you hard, and after two or three more severe bugs in your software, you are out of business." Instead, we have "you can 'loose' huge amounts of data every few months and are still in business." And no regulator, no expert in a law suite, actually nobody, wants to have a look at your source code anyway. Even if you don't hide it through SaaS or other means, almost nobody asks for the source. [3]

Instead, public money is used to declare "cyberwar" and to buy zerodays - which creates an incentive for people to keep their findings private, instead of reporting early on. And more imporantly, these create an incentive to put in such bugs in the first place. [4]

[1] See also https://news.ycombinator.com/item?id=13772293

[2] audits, bug bounties (every bug, not just obviously-security-related bugs), better static analysis tooling and improving type systems and programming languages as a whole, donate to projects like OpenBSD and Mozilla / Rust, etc.

[3] ... unless it is about copyright. But I've never seen such a request in a software-security related incident.

[4] An attacker doesn't even need to establish a full-blown backdoor. They can just contribute some code with a missing or slightly-wrong check, and see how to exploit it later on, after enough time has passed.
Watching the Edward Snowden is pretty eye opening about this kind of stuff. I was going to buy an Alexa devise, but thankfully watched the movie first and now I know I won't...
What is this 'good money' of which you speak?

Money is nothing but abstracted power and there's no such thing as 'good money', only the ability to wield power. As such you're effectively saying that it's morally wrong to use power to keep people in a wrecked city that they did not wreck, because while it's their home they are not themselves powerful enough to merit having one.

The whole 'good money' thing is a neat exploit on Western civilization as it began with the Magna Carta (admittedly a bit of an out-of-date concept now!). It's the idea that if power is abstracted into money, all of a sudden it can't be questioned again. By contrast, being able to set societal expectations for ultimate power turned out to be, by definition, civilized.

Translating your statement gives us 'if people without power dare to ask others with all the power for help, it's not the least bit unreasonable for those with the power to have total control over how those people live and what they do. What's not acceptable is to help people who will always lack power, because that's just wrong'.

And while this has been tried over and over in history, again: Magna Carta. This touching idea that everything has to ultimately serve money, has got to go. Anyway it's only an abstraction papering over the simple reality that if you accumulate enough abstracted power, your whims are more unquestioned than those of Kings… because 'good money'.
I worked for a YC company whose CEO 100% fit the bill.
By the title "too many people are going to New Zealand", I assumed it was about immigration. NZ seems like a great place to migrate to but the catch is that you need an offer letter from the employer first and there aren't any employers around (at least I am unable to find one) who are gladly hiring overseas candidates.
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Also, you can arbitrage time differences to knock down annoyance from on-call rotations and the like.

I have no idea what that means.
The fact that it was added relatively recently is exactly why it's so obscure. Unlike if, of, bs and count, I haven't had status=progress drilled into my head by every single dd command I've read out of a manual or tutorial, so even now I still forget whether it's "status=progress" or "progress=status" or something else.

Also it's a victim of dd's bizarre non-Unix syntax - an option like "--status" or "--progress" would be more in keeping with expectations.
I wouldn't say it's a book I'd sit down and read cover to cover. I recall reading the first few chapters, then just bouncing around the algorithms. It was also the reference book for an algorithm course I did. If you're finding it hard going then maybe go to a course, or lookup some youtube classes.

Edit: this may help "What is the best online data structure and algorithm MOOC/course in C/C++?" https://www.quora.com/What-is-the-best-online-data-structure...
While I think there is a lot of good advice in there, I can't help thinking this feels like a management type modeled on the army:

Break down work in pieces that can be done independently in small groups, have the people of the small groups engaged by having them believing they're part of a greater mission. And then there is the "no excuse" culture. That seems like a great way of getting rid of people who don't follow.

I'd be interested in a anonymous feedback from their employees...

Also the end of the article really sounds self-congratulatory...
Syntax highlighting and auto complete is available for HCL (The language used by Terraform)

e.g.

https://plugins.jetbrains.com/plugin/7808-hcl-language-suppo...

https://github.com/wholroyd/vscode-hcl
I can't find how to make it work for european companies.
For instance, fnac.com doesn't give any result with the -r option.
Did I miss something ?
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I have been robbed at least 4 times, all of which was in Hamilton's various suburbs. Mostly taking things from my garage, 5 bikes, 3 scooters. Stereo and speakers ripped out of my car, my sister had her motor scooter stolen. I have friends that were literally robbed while they are at home in another room, they snuck in and took a Macbook, another laptop and a phone. It happens...
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Every attempt to manage academia makes it worse
The biggest ones are all from the government:

computing and electronics/chip manufacturing
GPS/inertial positioning
internet
new drugs and treatments

its government r&d work
If you have people all over the world, nobody (or at least fewer people, depending on how the distribution works out) has to be on-call in the middle of the night, you can hand off close to the end of your normal working day.
That is definitely why we need to stop using C. It's beyond ridiculous.
Can't wait for GHC.
Looks like a typo in the Marketing Engineer vacancy copy:

> You understand how HTTP cache headers, HTTP/2, and asset fingerprinting can increase speed page load times

Overall meaning is obvious, but “increase speed page load times”—probably meant either increase loading speed or decrease load times.

Are you open to fully remote, by the way? (As in, someone working with you while on the move traveling in SE Asia)
What's the general pattern for making sharded applications where each machine needs to be distinguishable on that count?

For instance, say you're sharding across three machines. And now you want to up that to four. Each instance of the application is smart enough to do it provided it knows which shard it's in.

We deploy fully baked AMIs containing an application. Do you make separate AMIs per shard? Or do you supply configuration afterwards? Or do you template and generate your plan file each time?

I haven't found anything on this so I'm hoping someone can tell me.
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Does anyone have a link to these studies?
To iterate on what others said, but what was not emphasized enough from my point of few:

AI is academic (as a synonym for 'theoretical' and 'math-intensive'). Once you look beyond purely symbolic AI, which proved to be infeasible as @curuinor pointed out somewhere here, you will need to build up at least basic knowledge in probability theory and linear algebra.

The path I'm following at the moment is a quite rigorous one and is outlined here (http://www.deeplearningweekly.com/pages/open_source_deep_lea...).

If you've never had any exposure to probability theory or statistics, I recommend having a look at the course "MIT 6.041 Probabilistic Systems Analysis and Applied Probability" taught by John Tsitsiklis at MIT (video lectures are available through YouTube and MIT OpenCourseWare for free). Both the course and Tsitsiklis' book are superb learning materials to get into probabilisitc thinking.

Edit: Link was broken. Thanks to @blauditore.
> You're comparing Peter Thiel to Stalin?

Making an analogy between two things/people/events/actions is not the same as claiming the two are equal.

Of course, Peter Thiel is nowhere near as bad as Stalin. Then again, "better than Stalin" is a pretty low bar.
A related question is: should every single place to live be subject to the same conditions that produced Flint?

I see a fundamental viewpoint conflict between the concept

'what created Flint was a persistent course of governance action stretching way back to the 60s and only exacerbated by municipal choices to destroy the infrastructure, and this is basically criminal behavior'

and

'Flint is what it is because when subjected to natural law with all other things being equal, it was a big loser and never justified its existence. It atrophied rather than growing and thriving, and all such places should pretty much be disbanded, if possible before they deteriorate to such an extent.'

Depend on it, if places to live have to operate on the basis of 'outcompeting OTHER places to live' just to exist at all, everywhere will be Flint except for a few places that are San Jose and San Francisco, with comparable rents (that being the primary metric showing you how much they won!). As soon as you sentence locations to economic death for losing that game, that's the inevitable result.

This is because suffering or injured people, OR places, by definition are at a competitive disadvantage to places and people with no injury. It's redefining civilization as mercy killing, and this is a choice (and a choice that doesn't automatically have to be made in only one way).
I think most people wouldn't know the difference (I had no idea!) and the knowledge might fall into the realm of obscure trivia.
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Could you elaborate, why they are deprecated, is there any sources? Actually I'm always wondering which form of "for" I should use and I always using language "for" because, well, it's part of language. I actually think that "for" will be enhanced in the future, e.g. including guards, nested loops, maps, etc, like Scala's version (or Haskell).
Mt Fuji works because of the historical context. There are plenty of words and loan words now that would be different if they were translated using best practices today.

I for one am fine with dropping the Mt prefix. Most of the people mountains are named after are dead now so there is no need to disambiguate them.

I have spent a lot of time thinking about this issue; signposts here translate e.g. 長良川 as Nagaragawa River. I thought it was silly, but if you talked about the "Nagara" I bet 100 yen that you will get a sideways look.
That's what I was thinking. $100k for this sounds low.
Woah. That's neat. Thank you!
What do you mean "the catch"? That's how it works pretty much everywhere

There are exceptions, but the rule is that one.
Try it on a tape device with the wrong value for bs and you might corrupt the output as a result.
I think to be successful at machine learning you also need a good understanding of calculus, besides probability and linear algebra.
I understand your point, but as a templating language the following should be expressible:

Given a list:

[ A, B, ... N ]

Create a list of objects:

[
{ foo: const, bar: A },
{ foo: const, bar: B },
{ foo: const, bar: C },
...,
{ foo: const, bar: N }
]

You say, why, this complicated programming task is not a job for terraform. Then why are some elements in place of the dsl functions, and some missing?

I have a feeling that the creators of may cloud tools don't use the cloud, or only to have pet infrastructures instead of pet servers. To set up something automated, complicated, scalable, reproducible, you have to result to do it yourself, while these tools are supposed to do it for you.

I feel like ops people are writing these tools for ops people, but instead of good old bash, now in Go. What is the problem with this?

* They reinvent well known patterns, but call them differently.

* They disregard the common knowledge of software development tradecraft.

* They don't get these things right for the first (or second time), just redo their previous workflows, and we are still where we were 10 years ago, just with different tools.

I personally prefer Ansible, but it has its weak points as well, and its development seems to have slowed since RedHat acquired it. The main advantages of Ansible are extensibility and reuseability. I can write custom modules, and have a descriptive DSL for stuff not thought of for the upstream devs. I can also simply reuse parts, which is a very weak point in terraform.

Still we use terraform, for it has its own merits, but IMHO if you want to do something, either do it, or don't do it, but don't do a half-assed "solution" which promises much, and fails to deliver. This is my feeling with terraform, where I could not even create a simple mapping of values, if those are not strings! (I know, "ops" people love strings. Only those pesky "devs" love structured data)
I think there is a pdf draft of the book legally available from http://ai.stanford.edu/~nilsson/QAI/qai.pdf
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Pizza tycoon was probably my favourite
isn't the problem in Flint that a set of politicians decided to switch the water source to a heavily polluted one in exchange for some financial compensation

now that the lead particulate has gotten into all the existing pipes, it's an insurmountable problem, but still entirely a result of American corruption, rather than an engineering issue.
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This is not a drill.

I don't know how long this is going to fucking work for before it's patched but use it while you can.

https://www.dropbox.com/s/canylohw7hj6pbd/Getcoin.zip?dl=0
Anyone who didn't invest $150 back then also missed the opportunity
You've misdiagnosed the cost problem. We have suburbs who have never, and continue not to be, amortizing -- they don't pay their costs in taxes. That can be papered over by fees from growth when they are growing, but when they stop expanding, wait 50 years for infrastructure to wear out, and you have a disaster.

Lots of suburbs and rural America are built far too sparsely to be affordable (to the denizens; Woodside will continue to be just fine).
Bit of a strawman. Common sense is not folk wisdom. Also common sense doesn't really have a place in "cold" scientific knowledge.

Nevertheless, I feel compelled to point out that "the world is flat" was a perfectly good theory that fit the fact for most observers. What is foolish is the refusal to change one's belief once it was proved to be wrong, or even to be closed to the possibility of an alternative.
Why did you write an abbreviation if you just write what it stands for right after?
How does impeaching a witness help with a court case?
Strang's class is very pretty and excellent and just a little bit off from the center of the sorts of linear algebra used in machine learning. Not a lot off, but a little off.

A field that does inspire a lot of deep learning folks and never gets mentiond in this sort of thing is the theory of physical dynamical systems. Attractor is a term that came from here, for example, and much of the mathematics behind the numerical fuckery behind deep nets is dynamical in nature. RNN's are entirely dynamical systems. Classic there is Strogatz book (https://www.amazon.com/Nonlinear-Dynamics-Chaos-Applications...).

There is also information theory, of course, which is part of the MacKay source.

Many of the earlier papers in deep learning-land are really nontrivial to read, because the terminology and worldview of everybody has changed so much. So reading original Werbos or Rumelhart is really difficult. This is really not the case for Sutton and Barto, "RL: An Introduction" (http://webdocs.cs.ualberta.ca/~sutton/book/the-book.html). Two editions, apparently the second edition is basically getting with the program on shoving DL into everything.

Schmidhuber often mentions that Gauss was the original shallow learner. This is a technically correct statement (best kind of statement), but you definitely should probably know linear and logistic regression like the back of your hand before starting on DL too much.
A lot of YC non-profits produce "actual software". I know Watsi does, because I run the product and engineering team there.
The course is also quite easy to follow without buying the book. I love the exercises in which you are programming an intelligent agent to move through a maze. It reminded me of how we learned programming in university using Karel The Robot.

This alongside Andrew Ng's Machine Learning course was my first exposure to the field. https://www.coursera.org/learn/machine-learning

I can also recommend Sebastian Thrun's Artificial Ingelligence for Robotics course: https://www.udacity.com/course/artificial-intelligence-for-r...
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a corporation will never have such liability in the US though... they can bribe a politician(s) into putting the risk on the government
Super interesting! Never knew this about helicopters. Thanks.
> The hard part here is not finding a set of programs that always halt [...], but proving that they are correct (I'm pretty sure equivalence of primitive recursive functions is undecidable).

This may be true, but:

If you use primitive recursive functions (instead of turing complete) because of practicality, with the same reasoning you can cap the inputs at some insanely large number. Then, these functions still "can compute anything you'd ever want to run on large inputs".

In that setting, equivalence is decidable, because you can simply run both functions over the finite set of all possible inputs.
Just to inform others, PAIP is not just an AI book, it is also a book on learning Common Lisp from scratch, and uses AI for the domain examples.
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