skysight-inc/HackerNews huggingface dataset:
I use Elixir and Absinthe, and was very skeptical as well until the past month about GQL.

I'm now completely sold, for a JS powered app, using Preact and Apollo-client makes working with the backend incredibly easy, and realtime via subscriptions works very well.

I've used it to build a couple of large apps, and am seeing very good results, and much easier to build something in the frontend. The backend handles these queries very well via pattern matching, and I also know the queries ahead of time. In future I would want to lock these down to certain queries.

I'm very impressed by GQL, after having to deal with crappy APIs in the past. JSONAPI was almost perfect to me (working with Ember), but the fact there was no bulk submit was very shity to me.
I've been a similar situation lots of times. I'd say, without hesitance, that being the dumbest guy in the room is the best move and I'm trying to do the same.

I also find that I'm at my best when surrounded by people who I admire. When I'm the smartest guy in the room or overqualified for something, I tend to perform very poorly because there's just this feeling of malaise when you stop learning.
How to Publish Android Library on Bintray/JCenter
Perl X 10.0, like Apple did then?
With the experiment of GAB I wonder if moves like this will just push the extremists onto their own internet.
This is a great example of how a company was undone by greedy VCs. A little history lesson. The founders of Twitter really believed in a vibrant ecosystem for Twitter. They gave the developer community a slew of APIs, gracious quotas, and support.

The ecosystem thrived and created dozens of major companies that made Twitter truly useful. The user numbers grew as well because those very same companies marketed their new and innovative solutions. Then Ev was fired. Dick was brought in and month of after month they lay waste to the ecosystem. Dozens of companies died and hundreds of millions of dollars in VC money was lost.

Why? Fred wanted to cash out with a lot of other VCs. They wanted to turn Twitter into a media company. Run up the revenue and go IPO to dump their shares. Sure, if Twitter went along with their founders vision it could have been much bigger over time but going that route didn't help Fred cash out his 100x return and report back to his LPs.

The reality is founders spend years even getting off the ground. The "board", represented by VCs, rarely add value to the operation and vision of the company. They invest because they believe in the vision. Make sure that reality is in writing so people like Fred don't stab you in the back so they can cash out early.
Simple and elegant. I'm assuming somebody is trying an MVP. Congratulations for putting it out there and trying it out.
Questions:
How do you plan of monetising this?
How would you expect the selection process will be? How do you chose the winner? Let's assume you get flooded by some Heavy Metal fans. Will this transform into the Heavy Metal Song of the Moment? Let's not even talk about trolls...
I can't find anywhere we're he says that.

He does say
"Differences in distributions of traits between men and women may in part explain why we
don't have 50% representation of women in tech and leadership."

And "Discrimination to reach equal representation is unfair, divisive, and bad for business."

He basically says the gap isn't 100% caused by sexism, and he thinks gender blind strategies for closing the gender gap should be used instead of non-gender blind strategies.

I disagree, I'm all for programs that encourage more women in tech, even if the program has to be restricted only to women.(I think this also applies to minorities) I just don't think his argument to restrict these programs to only gender blind ones is a thought crime.

P.S. I'm so tired of defending this asshole, but people are aggressively filling his mouth things he did not say.
Zuck was about to be fired as well. The board realized they could not fire him because he had a very iron clad founder friendly legal construct. That's when Sandberg came into the picture. Also, Zuck made Sandberg promise she would never go after his position before she came on.
Insults tend to make the recipient defensive. If you want the commenter to rethink things, there's not much benefit in insults.
Wow I enjoyed both the content and the design aesthetic of this post. I guess that's what happens what a designer turns software engineer? Please post more like this!
A bit of off-topic but... Does anybody knows about some some good and relatively cheap service to apply for a patent on the US? Something on the line of: You provide the idea/description/explanation and they take care of the rest?
I suspect it's actually an audio frequency that's causing such effects. Some SMPS emit a rather annoying, and quite loud, squealing sound in normal use --- which some people find annoying, but I wouldn't be surprised if some people find it absolutely unbearable, even if it's not audible; e.g. the typical horizontal frequency of broadcast TV is around 16KHz, and many people can't hear it but still perceive that there is "something" when subjected to that sound.
I suspect I would like it more if I wasn't stitching microservices that might also need client interfaces together.

Gql buys me absolutely nothing at all having microservices connect.
In the sense that it will kill us? No.

In the sense that it may cause a lot of people to retrain? Maybe.

Regarding the first version,

Musk says this in order to acquire more AI talent, or get it cheaper. Jürgen Schmidhuber does the same thing. What they have in common is they both run organizations that they founded in order to build "AGI".

It is odd that they're warning against AGI and building it at the same time.

My theory is, if they can convince people that they're doing something "causeworthy" or world-changing, then they can attract more AI talent. In Musk's case, OpenAI also serves as a pipeline, or at least networking location, for getting more in-house talent at Tesla.

I think it hurts the field of AI that they say things like this because it gets people's expectations up. However, it also looks like it helps them recruit and network in an area of work that is very, very competitive among companies.

The guy who went from Waymo to Uber's self driving car program, for example, had received a $100 million bonus from Google, and Google said this was not out of the ordinary for engineers at that level.

Regarding #2, I'm a bit more optimistic than the average SV person. I don't think anyone can tell the future. We just need to focus on making education more accessible. There are no two ways about it, in my view.
This makes a LOT more sense. The compiler part is what keeps hanging me up.
I can't find a link so not 100% sure it is a true story but I was told (from a normally reliable source) of a L'Oréal factory in Russia many years ago which was producing shampoo. Unknown to L'Oréal was the fact that at night the factory would run producing counterfeit shampoo with inferior products. L'Oreal found out when they started getting customer complaints from people losing their hair, and I think pulled from Russia.
Why Genghis Khan’s tomb can’t be found
did you file a bug? is there a way to trace the perl6 one and see where the hotspots are?
I don't think this is common knowledge in France, but I did know about it.
Hopefully that would make it easier to block them all at once!
Ghost is the main competitor to work, comes as both hosted and self hosted.
Hmm, interesting.

The problem with being a web/app developer are

- I'm on disability support (for high-functioning autism), which means that...

- Working is tricky (income cap), and as a result...

- I'm on 10 year old hardware that doesn't like Chrome too much. (I also have insufficient disk space to do anything useful. While scrambling to move some stuff around I hit 800KB free on / and I had to SIGSTOP chromium so it wouldn't crash. xD)

I've learned a lot about the benefits of designing stuff on older hardware from the get-go, but nobody really does that sadly.

Along with the autism are some cognitive and attention-span issues that mean that, while I try to emphasize as much on practically implementable ideas, I'm a lot better at starting stuff than finishing it - and most of the ideas I do have are limited by my hardware.

--

Regarding vegetable oil, I completely agree - but in my case, because I'm a blood-type O, my body can break down canola (!) oil really well, so taking into account the quality levels used by at-scale manufacturing, provided the oil is properly extracted/stored/used/etc, I can actually use (break down) stuff made with canola oil quite well.

I can agree with eating tons of salmon (which is also okay for blood type O), but actually finding good quality sources of fish in general is quite hard: I don't know about salmon in particular, but I've heard that deep-sea fish are generally healthier. I'm not sure if this is because less toxins sink to lower depths, because the toxns can't survive at those depths, or what.

Farmed fisheries are tricky, both because of rampant inbreeding†, and also because of the food made artificially available to the fish in the farm may be... interesting.

(† Cheetahs had some kind of major event many thousands of years ago that wiped almost all of them out. They rebounded, but if you take any two cheetahs from anywhere in the world, they're so identical it's almost confusing.)
The movie is a commercial enterprise not the agent of government policy, designed to direct public attitudes.
What is GAB?
Seriously? I am very surprised. Surely Amazon cannot ignore this counterfeit product problem. Doing this looks like opening an avenue for litigation.
Google Trouble
> (4) would pull a Zuck and surround themselves with more established/senior people (e.g. Sandberg) as they hit those milestones.

Please recall the entire context:

Thiel stated early and often (as Facebook's earliest investor) that he would stand behind Zuck retaining majority control. Based on this support there was no other option than to provide Zuck with all the support, mentorship and education he would need to scale along with FB.

Zuck had unflinching VC support :)
I know that's a very comforting line of thought but it rings a bit false. Without the funds from the LPs backing the VCs there would have been no Twitter and no ecosystem of apps to begin with.

I agree it sucks that Twitter shafted its developers, but the LPs wanted to get paid. They don't get into VC to back charities. The VCs are just repping their LPs when they do this stuff.
Yes. It seems almost inevitable that companies will overhype their versions of the tech in order to get more investment. The more success the tech has, the more expectations the public will have.

Musk's rhetoric has come from some relatively minor advancement, in my opinion, compared to what is coming, given that GPU/ASIC hardware is still improving.

I think education can help, and maybe we should expect some dips. Perhaps in the next dip, research into the tech will not fall as flat as it did in the 1980s during the last AI winter. Who knows what lies ahead.
still kicking myself in hindsight for dismissing this in early 2011 as something that would flop, oh well, hindsight and all that.
How your mind protects you against hallucinations
I feel there's a subtlety to your comment that I don't get. Can you explain? (I've not yet learned Haskell.)
"the way you have to wade through months of parsing bullshit to get to the really interesting stuff (optimization and static analysis)."

If you look back in the late 70's, you'll discover something interesting: Almost everything was parsing of one form or another.

Really.
Parsing of flowgraphs, etc.
Dataflow was done not just by bitvector methods (which were fairly new), but by parsing of graphs using graph grammars.

Most optimization analysis are very closely related to parsing (and can often be solved by graph reachability). The complexity bounds of most of them are also driven by parsing complexity results.

For example, andersen-style points-to analysis is solvable as a context-free-language problem. The time bounds of it are driven by the time bounds on context-free-language parsing. In particular, all-pairs reachability on Context Free Languages (N^3).

etc
Parsing is the basis of compilers for a very good reason. The fact that we have advanced other types of methods on top of analysis for optimization and analysis does not change the fact that, at the core, a lot of them are based on equivalence to parsing of graphs and graph reachability.

Another way to look at it: If you ever want to be able to be really good at compiler optimization, don't skip parsing. Otherwise you will miss the connections that are really important to being able to design efficient new algorithms, instead of just learning old ones.
I once saw a TV documentary several years ago that noted how wind farms were affecting people from resonation, with affected individuals getting headaches and crying fits.

These wind farms were absolutely massive (tens of feet wide), and installed on gigantic concrete bases. This served as a natural amplifier for the vibrations generated by the gearbox and motor.

None of this was audible, but it is still technically frequency-related.

As an aside, I've heard my computers make noises on a couple of occasions, and the only thing it's caused in my case is concern that the computer was okay :) - on one occasion I discovered if I held my head right that I could hear the whine of a CRT flyback transformer, and on another occasion I discovered (again if I held my head right) that if I ran a certain graphic demo program (the Xtacy linux screensaver) on a certain graphics card (a Matrix G450), a whine could be heard emanating from the PC tower. Someone I shared this with (I think on here) reckoned that this was due to overdriven power MOSFETs.
And must be said, is totally fake. Transportation was organized >90% by the RN and the destroyer flotilla and RN organized channel ferries. Small boats were manned by RN personal for most of the evacuation and small boats were organized by the RN way ahead of the beginning of the operation (a week before). The operation was kept secret for most of the time. People who were asked to volonteer did not because it was not clear what they would volunteer for. The BBC was allowed only late in the evacuation to talk about it.

Only in the last two days some minor effort was undertaken by self organized private people.

But it made a great story from the beginning.
Hope they have to pay through the nose to spread that kind of garbage ideology online.
In what world is "strictly typed: No" an advantage?
In my imaginary screenplay, a guy is hiding from the US government, but the NSA will find him because they have access to Facebook's face recognition system, and he happens to be in the background of a photo a tourist took.. "We have a face recognition hit, he's in... Thailand!"
I bought mine 4 months ago, and they looked right too, but I got an email as well. Which is fine. I ended up getting verified ones from my father-in-law's astronomy club.
It was a last stand for Russians in WW2. Stalin was determined not to let the city bearing his name fall. He funnelled a huge amount of soldiers and materiel in order to keep the city. The Germans tried to blitzkreig it, but the Russians held it and the battle persisted on the streets of the city for a long time.

It was a brutal battle. The USSR suffered 1,129,619 total casualties; 478,741 personnel killed or missing, and 650,878 wounded or sick.[1]

The USSR eventually won the battle, and it was the first real turning point in the war.

[1]https://en.wikipedia.org/wiki/Battle_of_Stalingrad
Yes I also live in Puna. Are any of you open to using https://www.scuttlebutt.nz/ ? It's an "off-grid" social network.
Asked to see if someone speaks up

https://stackoverflow.com/questions/45667636/advantages-of-a...
Neil deGrasse Tyson on who to hire
"subsistence farming"?
نقل عفش وتخزين اثاث جدة 0535220955 شركة عباد الرحمن
Evolution has taken us through an uncountable number of neurons and lifespans.

In my opinion, even if we had an AI that matched performance of the human brain, it'd still be missing the historical data on earth (and the universe) we used to arrive at this point, the level of parallelization that exists across the earth across all life forms, and the capacity to input as much data as all life on earth can. Data and input capacity are as important as the model in machine learning. I think we sometimes forget how interdependent we are. We learn a lot through sharing our experiences, and when there are more of us, we make more breakthroughs as a species.

And, maybe the answer is 42.
More like 65,000 years.

https://doi.org/10.1038%2Fnature22968
Major Brian Shul, USAF (Ret.) SR-71 Blackbird 'Speed Check'
The Ignorance of the American Voter
> How can someone live with themselves after doing this?

By being able to feed their family and keep shelter over their heads.

At least that's the only charitable explanation I can think for the absolutely shocking lack of respect for human life that comes out of China (see fake food, gutter oil, electrical safety, construction scandals etc etc)
Parsing also comes up in a stupidly large number of other areas within programming, including: serialization formats, network protocols, DSLs, log analysis, time series interpretation, NLP, unstructured data mining, and probably several I'm not familiar with. Fundamentally understanding what's going on when you're doing recursive-descent, shift/reduce, or combinator-based parsing unlocks a big toolbox that you can use to solve a number of other problems.
> It means that someone has just donated hundreds of hours of work for you. Free of charge!

I think that misses something of the ethos of free software. It's not like somebody donating their valuable time to work in a soup kitchen. It's much more like somebody too lazy to spend thirty seconds doing a menial task like everyone else, so they instead spend three months creating a program that automates that thirty second task-- with the side effect that the rest of computer-using humanity gets out of doing that menial task, too.

So in a way it does require a thank you. But in another way releasing it as free software is the least they could do given all the time they wasted just to get out of doing work.
One could suggest that the US has a nationalist creation myth that is not well served by admission of being late to the party. It could also be suggested that it is slightly charged in terms of the conservative US Christian belief. While these would be no doubt controversial, like most unpopular perspectives they are not without some hint of reality.
I started frequenting online forums precisely to help we practice expressing my thoughts in English. I try not to get into arguments though. :)
Mike Pence’s Site Hacked (Funny)
Pedantically speaking, all the text and images you see on your screen are electromagnetic field and are manipulating your nervous system.

https://xkcd.com/722/
1. Udacity: Machine Learning

2. Deep Learning Summer School Montreal 2016 https://sites.google.com/site/deeplearningsummerschool2016/h...

2. selfdrivingcars.mit.edu + youtube playlist "MIT 6.S094: Deep Learning for Self-Driving Cars" (https://youtu.be/1L0TKZQcUtA?list=PLrAXtmErZgOeiKm4sgNOknGvN...)

3. Coursera: Machine Learning with Andrew Ng

4. Standford Cs231n (https://www.youtube.com/watch?v=g-PvXUjD6qg&list=PLlJy-eBtNF...)

5. Deep Learning School 2016 (https://www.youtube.com/playlist?list=PLrAXtmErZgOfMuxkACrYn...)

6. Udacity: Deep Learning (https://www.udacity.com/course/deep-learning--ud730)

I created a blog (http://ai.bskog.com) to have as a notepad and study backlog. There I keep track of what free courses I am currently taking and which one I will take next.

p.s.

Although video courses are good. Everyday life makes it sometimes difficult to listen to videos on youtube while for instance doing chores around the house or working out, because you often need to a. see the slides/code examples, and b. put it into practice right away... therefore, podcasts are good to give you a flow of information.

Linear Digression, Data skeptic and (thanks to this thread i now discovered Machine Learning Guide)

Don't be discouraged if there is stuff you do not understand or feel like: i can never remember these terms or that algorithm. Just be immersed in the information and stuff will fall into place. And later when you hear about that thing again it will make more sense. I tend to use a breadth first approach to learning, where i get exposed to everything before digging into details thus getting an overview of what i need to learn and where to start.
NYTimes: Teaching A.I. Systems to Behave Themselves
Has anyone attend the Reforge Growth Series before?
I recently was accepted in the Reforge Growth Series and was just wondering if anyone attended and had honest feedback about the course?

Thank you in advanced!
Most Trusted News Sources
Further, I imagine any even small effort that is noticed can contribute positively. Things like:

"We've started timing our showers."
"We do Meat-Free Mondays. It's easy and cheaper."
"I've got into xeriscaping recently."

There are a number of things that are generally cheaper, not much effort and probably interesting to undertake.
tl;dr English is a punny language
Hi magnetic, nice to meet you! Out of curiosity, where would you say you developed your money management skills? Was it from your parents, from school, or just organically as you started taking on more responsibility as an adult?

To acknowledge your point, I was definitely the reason for the interest charges. As I mentioned in other comments in this thread: growing up my parents didn't teach me much in the way of handling money responsibly. It took me almost 10 years of being an adult before I realized that I wasn't managing my money, but it was managing me.

Before two years ago I never created a monthly budget and stuck to it. The typical month looked like me spending way too much money in the first half of the month. Which led me to constantly checking my account balance in the second half of the month. When my checking account would start to get below about $200 I would shift spending over to my credit card. Next month I usually tried to pay it off. Sometimes I didn't and even worse sometimes it would take me a few months.

Its exhausting when I look back at all of the financial drama I dealt with until recently. Mostly because I never planned how my money was going to be spent with a monthly budget, but also because I bought stuff that I didn't need and couldn't afford.

The point I was trying to make with my original comment was: More people are likely to carry a balance on their credit cards than those who pay it off on time every month. I'm fairly certain the bubble I grew up in skewed my perception that everyone carried a balance on their credit cards. I knew people who said they paid it off every month, but when I asked them to be 100% accurate with that statement, they always backpedaled. At least I know of one person "magnetic" who actually pays their bill on time every month.
Facebook for Nazis. Because free speech?

Edit: i don't support people who pass hate as free speech. Which makes me wonder how to eliminate hate.
Not really how VCs work. Each VC is made up of funds. When EV was CEO and Twitter was the size it was, a lot of your fund's success might hinge on one or two companies in your portfolio. Without them exiting, it is hard to raise the next fund. If you can cash out your companies, show a huge return, it gets easier to raise your next fund at favorable terms.
Small plot farming, done to feed yourself. https://en.wikipedia.org/wiki/Subsistence_agriculture

What 90% of humanity did, for centuries. Classic peasant stuff, you know.

It's not fun. You depend on the food from your land to eat, so you can't afford to experiment with new methods of doing anything, or grow "cash crops" that you can't directly eat. If the rains fail, you starve. If there's a locust swarm, you starve. If your plow oxen dies, and you can't get another one, you starve.