skysight-inc/HackerNews huggingface dataset:
Long term, having some governmental oversight is key to the mainstream success of cryptocurrency.

While this may make the ride bumpier, I'm happy that China has decided to setup some regulation around ICOs, mostly impacting scammers and fraudsters. My only concern is this regulation takes a while to figure out and this kills some momentum.
I tend to focus on individual problems, the recent think tank debacle or the ad bubble being examples.
IIRC, Oracle got a huge boost from US government as it was the semi-official database engine developed (for the Navy?) with taxpayer funds, then deployed (again with taxpayer funds). I'm not complaining, the US probably needed a better DB engine, but it was partly luck, partly backroom agreements that launched and supported Oracle for years. That said, maybe I got my facts badly mixed up.
I'm not saying it doesn't suck for westerners. What I am saying is that from my view, which is of course constrained by all kinds of limits, my best guess hypotheses that I am putting 100% of my money on in the form of all my investments, is that it doesn't yet suck for the vast majority of Chinese in their own minds. Like a drum roll, we've been forced to give 10-20% wage increases every single year to keep my talent. Engineers that worked for me four years ago started out riding the bus. Now, they've all bought a new car at some point. Several make more than I did at 25. They are not clamoring for democracy.
This. Ben Lorica is not the best interviewer--he interrupts his guests way too often and way too abruptly--but he has a reputation of being one of the best networkers in Silicon Valley, so his guest list is usually comprised of the best people in the field.
And the downvotes come pouring in... ;-)

But can we try this simple thought experiment of thinking of AI as our children?

Our children will all eventually replace us, and maybe, hopefully, continue the good things that we started and improve the things we didn't quite get right.

But in any case, we will have absolutely no control over what our descendants do with their lives, or the world, after we passed.

Is AI really that different?
Why isn't Telegram end-to-end encrypted by default?
"Rule of law" is really a spectrum. China may be toward the arbitrary end, but maybe not as much as we'd like to believe. Prosecutors in the US have enormous power, which is why 98% of US federal cases are pled out.
I left a little more than 5 years ago ... I cannot fully explain how much ... lighter I felt after. I went to work with a cloud (ha!) over my head everyday for the previous oh 8 years of an almost 10-stint.
I was contacted by an Oracle employee to recruit me back about 3 years after I left - I fired off a two page email explaining the poor ethics, the horrendous ways people were/are treated ... sadly to no avail, I couldn't get him to leave and get his life back.
Understanding Computation by Tom Stuart [0]. While not soley dedicated to creating a language, the first couple of chapters deal with building semantics of a simple language using Ruby as the implementation language (but easily done in any other language you're familiar with). Implementing the virtual-machine the language runs upon in a language you already know provides some really wonderful insights.

[0] http://a.co/7MI5j7h
I don't know why but unfortunately the various parts are effectively unreadable on an iPhone.

The screen zooms in and out as you scroll, so that when you scroll the text is a little too tiny and when you stop the text is cut off on the left edge.

I'm going to give it a try on my iPad. Just a heads up.

Edit: works fine on an iPad. Interesting.
It's massive testing means that it would be easier to implement in another language; you'd be pretty sure of conformance with a port.

That said, it's one of the most reliable projects in existence so why rewrite it?
> Unfortunately, however, make wasn't made to compose well

PMake (aka BSD Make) is actually fairly good in this regard- allowing for include libraries (so long as namespaces don't collide). Unfortunately it is not so well known...
I used to feel that way, but having listened to a few technical podcasts, I find they are a good way to get a quick but nuanced introduction to topics outside of my day-to-day. They are also a good way to learn about things that are very new and are not part of a canonical body of knowledge yet.

For instance, I've read a lot of about containerization and microservices, but actually listening to interviews with prominent people who work on building these types of things helped me learn much faster about the nuances, tricks and downsides that people don't normally talk about.
12 lbs = 5450 g. 500 g of that could be glycogen, stored along with 1500 g of water. That's 2000 Calories and 2000 g in total.

If the remaining 3450 g is fat, it would be 31000 Calories, for a total of 33000 Calories, or 4700 Calories/day over the week. Not a reasonable amount!

Taking your 2500 Calorie/day value, I get about 1700 g of unexplained weight loss.
This was the entirely predictable result of regulations on financial institutions that have become more and more idiotic. Imagine if we had decided to fight drug dealers and terrorism by prohibiting any restaurant or grocery store from knowingly selling food to drug dealers and terrorists. We would see this same nonsense with food that we see with finance.

If we're going to fight drug dealers and terrorists, it shouldn't be by trying to push them to the fringes of our financial system, it should be putting them in jail.

https://steemit.com/politics/@joelkatz/the-war-on-cash
Codestunts: hire rockstar software developers
To be fair, only 125,367 lines of that is actual c.
Nikita Voloboev – His My Wonderful World of MacOS Applications
I'd add SMF to the list as well which systemd seems to take inspiration from.
Yes, exactly. I think faith in an apocalyptic singularity is a hangover from religion, and not something that can be justified scientifically.

We're actually incredibly bad at making robust, reliable software. So there's no realistic basis for assuming a self-improving machine is even possible. Never mind a conscious self-improving machine. Even less a conscious self-improving machine that develops god-like capabilities at an exponential rate.

Game changer tech is always possible. But AI-on-silicon is going to be a dead end without some new non-Turing computing substrate.

The real problems are political and social, and we already have those. Automation - rather than true autonomous AGI - may well make them worse. But that's a different problem, and not obviously related to quasi-sentient paperclip machines rampaging through our cities.
“The Ends of the World” is page-turner about mass extinction
App that analyzes public data to tell you exactly how to communicate with people
You'll want the Dragon Book as a reference, not necessary to get started with, but to build the semantic tree on which you will need to pin concepts on.
https://www.amazon.com/Compilers-Principles-Techniques-Tools...

If you aren't yet committed to any language, you can start building a parser with PyParsing. It's really easy.
http://pyparsing.wikispaces.com/

If you want to take a quick (albeit expensive) class on it, Dave Beazley offers one:
http://www.dabeaz.com/chicago/compiler.html
The product that built Oracle the company, their RDBMS, is frankly one of the worst pieces of "enterprise" software I've ever encountered.

Oracle's only redeeming quality seems to be free golf at nice country clubs paid for by Oracle salespeople.
Nice improvements. Having a bit more space around the margins makes the content pop and become more readable. Nicely done.
Seriously? So many downvotes for asking a genuine question and hoping to have a discussion? I didn't think people could have such strong feelings about one type of diet vs another.

I've tried both fasting and keto and I've got more or less
the same results. I guess some people find fasting more convenient to doing keto, which is fine. I found that with fasting I have more difficulty doing resistance training, and it inevitably leads to a more severe loss of muscle mass, whereas with keto I find that I can more or less preserve the muscle mass and just lose body fat.
SHOP.austins.club – Online Digital Marketing Tools for Less Price
What do high-rises have to do with unbreathable air? That's a consequence of being the world's factory.
I found an article that stated he was only at Google for 5 months.
I actually love that it's cheap, for the reasons you state. If nothing else this just encourages the market to look at storage more seriously, if there is money being left on the table that could be redirected to storage this might be a good means of replacing gas down the road.
AUSTINS.CLUB
For us, with the exception of the human toil on former colleagues (which shouldn't be minimized), this is a total positive: it eliminates the Solaris confusion (which we've seen recently in Go[1]), and it gives us a new talent pool to draw into illumos. While I don't know how many will matriculate, I can say with confidence that it will be significant in terms of magnitude if not in terms of numbers. So yes, I expect it to affect the direction of SmartOS -- and very much for the better!

[1] https://github.com/golang/go/issues/20603
10X Your Revenue this month – copywriting exercises sent daily
I used to commute in silence or listening to the radio for my daily Silicon Valley drive (237 Milpitas to Mountain View), and by the time I got to work, I'd be angry, frustrated, and cognitively spent.

Listening to audio books has allowed me to relax, enjoy the reading, and get to work excited about the day.

I treat the time as a chance to "read" those books which I wouldn't normally spend either my work hours nor my free time hours on. It's a chance to get informed on topics that are only slightly related to work, but expand your mind in ways that will make you a better thinker, and thus a better programmer.

The books I've found particularly good on audio are:

* Zen and the Art of Motorcycle Maintenance

* Thinking, Fast and Slow

* How Not to be Wrong

* Ready Player One

* Neuromancer
I've read about this and recognize the potential benefits. I want to give it a try.

1. How does one get started ? Specifically, how do you combat the irritability and headaches at the onset ?
2. What are some good online communities to join ? 3.What are the best practices and what should I know ?
There is a lot of plastic waste your not allowed to put in the recycle bin, such as plastic wrappers for food.
No One Asked for Verrit, but Here We Are
Sounds like new MySpace business plan.
I'm using neither, but for me the worst thing were cut off XMPP contacts who were on Google Talk (and later Hangouts). I was reaching them through XMPP federation, and Google really messed things up.
I'm reading The Star Diaries, a collection of Lem's short stories from the 1950s. Their absurdity reminds me of the Hitchhiker's Guide to the Galaxy. I just discovered that there was a 2007 German TV series based on the stories, too:

http://www.imdb.com/title/tt0978537/
I get your point on "all" vs. "most" vs. "some". Let me clarify, I'm drinking my morning coffee from China and just typing a stream of thoughts here. I read the first sentence in your response here, and I'll point out your own logical fallacy. "Talking about any massive group of people as if they all share the same belief is never useful."

Well, from my decade as an entrepreneur, I can assure you, it is sometimes quite useful to generalize. One skill required to survive is to form opinions based on limited access to information under conditions of uncertainty. So I'd caution against your own use of the word "never". Anyway, my original comment did state "on the whole". This means "most".
> Both require estimating, which I feel like I'm getting worse at. The unknown unknowns kill my schedules.

Generally what I do is break the project down into a list of small tasks, then estimate the best possible case and the worst possible case for each. Unknowns and more people involved increase the worst case. Try to ask more questions to reduce the unknowns but after that you have to keep your worst case estimate in mind.

Why do you feel you're getting worse at it? You're always going to finish slightly above or below your estimates. If you're consistently too low though you're being too optimistic when estimating and should adjust, and/or you're not pinning down requirements enough.
I would say its less that you can’t or shouldn’t use mmap, and more that its not as simple as throwing mmap at it - if you care about crash recovery/not corrupting data (which most databases should care about), but that certainly doesn’t mean that mmap can’t be a part of the solution.
> What? Numpy does this.

And Numpy needs an ad-hoc grafted on type system(s) to do it.

> Show me an example of this system code that's nice in julia and clunky in python and I'll show you a superior implementation in python.

Silly over-reduction, but show me a nice way of running this in Python in 3 lines:

run(`./configure`)
run(`make`)
run(`make install`)
Looks cool, thanks.
If you have indeed used Solaris, you could have left a more useful comment. Your creative use of ellipsis is totally cheating by the way: you did not preserve the structure of the sentence.
Especially given how battle tested (and unit tested!) SQLite is, while a clone.. would not be.
If AGI is possible, then whoever invents it will surely recognize both the power and the danger. Since there's no reason to believe that current academic/corporate/government/military AI research is even barking up the right tree, I can imagine a situation where someone invents AI in their basement, but keeps it locked up, exploiting it for personal gain. Then since it is possible, probably others will independently discover it in their independent basements. When one day an AI is finally made public, or "escapes", we might see a sudden mass emergence of separate AIs. What happens then is anybody's guess, but going by biological standards they might fight it out for control of available resources.
Oracles primary goal for the last two decades seems to be the finance of racing sailboats.
I've found testing tools that take screenshots very useful. Once you're happy with the site, you take screenshots at various screen widths and after you make changes you can view visual diffs of the new screenshots to see if you broke anything.
I think it's clear that each individual team makes what is a rational decision for their product; the problem is that when Google are also a browser vendor (and it's almost always only Google's browser that the initial launch supports) then it's very easy to walk away from this viewing Google as malicious.

One launch that was Chrome only would look kinda shitty, several dozen just looks like malice: the probability of such consistent behaviour is incredibly small (if we say the probability of cross-browser support is 0.99, given most sites on the web are, then the probability of a dozen sites all being cross-browser is 0.89, and the probability of none of them is 1×10^-24). It's incredibly unlikely that multiple unrelated web development teams would all decide to go for Chrome-only, and that's reflected by how few non-Google sites are Chrome-only (i.e., the optics would be very different if there were large number of major web launches that were Chrome-only from companies that aren't Google).

As such, if Google did actually care about the web and interoperability (given the Chrome team spend a lot of time talking about and working on it!), one would reasonably expect Google engineers would spend more time trying to report bugs in other browsers (because plenty of them aren't that hard to track down) rather than other browser vendors spending a few days fixing all the bugs after launch and then often spending several months trying to get it officially supported (and often being told "it still fails tests" with no further information (see previous point about caring about interop) while nobody else can find anything broken).

In reality knowing many people at Google, yes, I think I can say it's Google having no cohesive whole and acting like a million discrete teams with no over-arching goals, each wanting to launch their MVP ASAP by caring about a single platform, but it sure as hell doesn't look good.
Safari Books is great. Despite the name it's a mix of books and videos, either talks from conferences or dedicated video series. A lot of it you can grok just by listening.

https://www.safaribooksonline.com/home/
It should come as no surprise that we can build machines that can harm us even destroy us. One of the reasons AI was developed was to research what intelligence is. The point being, we do not understand intelligence, so how is it that we will create a super intelligence that will conquer us? This is just an old heaven fantasy: One day we will be in a world that is just like this one only it will not contain the bad parts because super smarts will not allow them. That is just nonsense, and so are the fears and beliefs surrounding AI.
Resource collection, resource monopolisation, and expansion are absolutely recognisable human motivations.

Is it a given an AI would share them?

I think we're not really talking about AI at all - we're talking about our current economic and political systems, which appear to have many of the properties we're imputing to evil AIs, but for some reason are far less criticised and debated than hypothetical machine monsters.
Totally, though that most cases are pled out says nothing about the cases that never are. An overzealous prosecutor can be beat down by a judge in the USA at least. In china, there is no real difference between prosecutor and judge, someone makes a decision somewhere and that's it. The only recourse is bad publicity. Rule of law is a spectrum, but we are talking about drastically different ends of it. What's more, rule of law is not even a goal for the Chinese government, who think an independent power-checking judiciary is unnecessary given that the CCP only consists of wise and uncorrupt officials.
I'd also like to say that meditation during a commute can be really great for setting your day.

My current favorite apps for that are Simple Habit and Kevin Rose's up and coming Oak which is in public beta now.
Show HN: Pocket, Instapaper and Twitter Articles on Kindle
They need to work on their pitch, it's a bit thin at present. I suggest:

"If blockchain technology doesn't already get you hard, Synthorn will."
Thanks for the relevant blog post link. My gut feel is that 6% wealth tax destroys retirement savings and that anything over about 2% in fact does so. (I'm planning on a 3.5% withdrawal rate in retirement, so a 2% additional wealth tax increases by >50% the amount of money I need to squirrel away for retirement. $24K in UBI replaces $685K of that savings need, though almost surely brings along inflation with it and I'm projecting to need a substantial multiple of $1MM to retire.)

I also think that UBI in its first version needs to be more like $600/mo/adult. It's going to be austere for sure, but a figure much higher is not supportable (and so DoA when proposed).
Not necessarily. A lot of the flora and fauna in the New World developed somewhat independently from that in the old one. So we might have these new species evolve in regions of the oceans where the plastic is more abundant.
A little bit of history/context around this.

The genesis for most of this public facing, high profile threat warning came right after Musk read the Nick Bostrom book: Global Catastrophic Risks in 2011 [1]. That seems to have been the catalyst for being publicly vocal about concerns. That accelerated into the OpenAI issue after Bostrom published Superintelligence.

For years before that, the most outspoken chorus of concerned people were non-technical AI folks from the Oxford Future of Humanity Institute and what is now called MIRI, previously the Singularity Institute with E. Yudkowski as their loudest founding member. Their big focus had been on Bayesian reasoning and the search for so called "Friendly AI." If you read most of what Musk puts out it mirrors strongly what the MIRI folks have been putting out for years.

Almost across the board you'll never find anything specific about how these doomsday scenarios will happen. They all just say something to the effect of, well the AI gets human level, then becomes either indifferent or hostile to humans and poof everything is a paperclip/gray goo.

The language being used now is totally histrionic compared to where we, the practitioners of Machine Learning/AI/whatever you want to call it, know the state of things are. That's why you see LeCun/Hinton/Ng/Goertzel etc... saying, no, really folks, nothing to be worried about for the forseeable future.

In reality there are real existential issues and there are real challenges to making sure that AI systems, that are less than human-level don't turn into malware. But those aren't anywhere near immediate concerns - if ever.

So the short answer is, we're nowhere near close to you needing to worry about it.

Is it a good philosophical debate? Sure! However it's like arguing the concern about nuclear weapons proliferation with Newton.

[1]https://www.amazon.com/Global-Catastrophic-Risks-Nick-Bostro...
This happened to a friend a few months ago. He has a SaaS business, working remotely out of France (uses Stripe + US bank accounts as he lived in US for sometime).

One day suddenly, he got locked out of his bank account (a major US bank) and the only way to restore the access was to walk into a branch physically. This meant dropping all work and flying to US at a day's notice, assuming you are granted a Visa. He was fortunate that the customer service listened (though they were not the politest people on the planet). After jumping a few hoops and following some unconventional methods of verification, the access was restored, but the situation was scary for a few days.
It sucks for Chinese also. To know their life expectancies are being sacrificed for cheaper exports...really sucks. That under the dome video was censored very quickly for a reason.
Oracle should open source it back, probably donate it to Apache.
https://www.eia.gov/todayinenergy/detail.php?id=30112

If you can't get a loan to build wind farms, why was new 7.7 GW of capacity added in 2016? Also, Alstom, Invenergy? I know you are trolling but come on.
Headaches at onset have various causes, some unavoidable (coffee withdrawal for many, carb withdrawal for most), some are (insufficient electrolytes or other nutrients).

Make sure you don't start with a vitamin deficiency, and add a little bit of salt to your drinking water.
Strange how it can be so hard to briefly describe what a company does.

It's often more obvious from the outside.
Ha -- isn't that ever the truth! When I came to Sun in 1996, Solaris was really good at only two things: scaling on SMP machines and not crashing while doing it. Morale wasn't necessarily high (the early history of Solaris had been brutal, and it had only been due to the budding success of 2.5 and UltraSPARC that engineers were beginning to feel forward-looking), and it took us several more years just to get the house in order. MDB came out of this period, as well as important primordial tooling like lockstat(1M).

But as we were getting the OS to work as advertised, we had bigger ideas brewing. In Bonwick's case, it was ZFS, for me it was DTrace, for Tucker it was zones, for Casper it was least-priv, etc. I know that it looks like it was in response to Linux and/or as a result of the dot-com bust (and it's impossible to say to what degree these were contributing factors), but I can tell you that from the epicenter it felt much more like a natural evolution than a competitive response. That said, I know that the competition didn't hurt, and you're certainly right about Linux finally causing us to take small-systems performance and system call latency seriously!