skysight-inc/HackerNews huggingface dataset:
I find myself wishing the new ads were more intrusive! What we have taught them is that we are "okay" with ads as long as they're unintrusive. But what Reddit has understood is that if they can blend in the ads seamlessly that the ads are acceptable. But the ads are actually worse. -- And thank goodness for that. I waste far too much time there and nothing breaks me from the spell like loading the new theme.
They're not the same. Physically, man-made diamonds tend to be superior to natural ones, or so I'm tood. But that's beside the point for consumers - they mostly don't buy based on physical criteria beyond size. They buy dimonds because it's the done thing, because they're expensive. If diamonds lose that exclusivity De Beers have gone to such lengths to uphold, I think they'll also lose their appeal.
I also do not have data on almost all the food that I eat.
Similar to how time travelers have to interface with our devices.
This paper is amazing, and exactly what I was thinking of posting in response to that part of the article. The amount of research Deepmind is putting out is astonishing, and even if you are paying attention it's hard to keep up with it all. Here are just a few papers I've been looking at from the last few months, maybe none of them are advancements on the level of AlphaGo & Zero but they still show significant progress in a wide variety of areas.

https://arxiv.org/abs/1802.10542

https://arxiv.org/abs/1802.07740

https://www.nature.com/articles/s41586-018-0102-6

https://arxiv.org/abs/1804.09401

https://arxiv.org/abs/1805.06370

https://arxiv.org/abs/1802.03006

https://arxiv.org/abs/1804.08617

https://arxiv.org/abs/1802.01561

And there are many others besides these, not to mention all the significant research being done by everyone else who isn't at Deepmind. The authors idea that interest and development of these topics is dying down or that Deepmind is running out of meaningful research to do just seems uninformed.
You haven't expalined why is judging someone's public persona/ideas by their own public pronouncements (or lack thereof) on twitter irrational or wrong.

If someone has hunderds of thousands of tweets, I'd say such judgement would be pretty accurate, unless he segemnts his pronouncements based on media/audience in some very deliberate way, which I doubt, because he went to twitter to critcize US intervention.

And yes I wonder how he's anti-war in general or even anti-US imperialism in general based on some simple searches that reveal he's barely criticized US foreign meddling in the war against ISIS on twitter.

Cross may be suspicious, I aggree, but that doesn't make the web page magically non-anonymous and balanced.
If Zig (or some other language) turns out to be the next big thing, we'll be hearing about it again and again.
Building a responsive svg – responds to its own aspect ratio
There are other factors that influence fatalities in automobile accidents. You can't legitimately use deaths per miles driven as a proxy for how good a driver Tesla's autopilot feature is.
I can't figure out the geometry of this accident. It looks like the Tesla hit the cruiser near the left rear wheel. And the cruiser was pushed sideways over the curb. But its right rear tire looks to be inflated.

So why would the Tesla have been heading toward the roadside? Was the cruiser perhaps parked in the middle of the roadway?
"To continue enjoying the free content made available to you on this website, you must indicate that you understand and accept Bonnier Corp.’s use of cookies by selecting the "Allow all cookies" button below."

If you click the "view details" there's a list of over 500 (!) cookies that you must consent to, with hundreds of companies, and not even an opt-out. Blatantly non compliant with GDPR, can't wait for the first warnings and fines to be served on these types of websites.
Bayesian can be seen as a subset of deep learning or hell a superset.

AI is a superset and Machine learning is a subset of AI and most funding is in deep learning. Once Deep Learning hit the limit I believe there will be an AI winter.

Maybe there will be hype around statistic (cross fingers) which will lead to Bayesian and such.
I think it's this one from Enterprise https://m.imdb.com/title/tt0572231/plotsummary?ref_=m_tt_ov_...
Read the history of the South Sea Bubble.[1]

"For example; one company floated was to buy the Irish Bogs, another to manufacture a gun to fire square cannon balls and the most ludicrous of all “For carrying-on an undertaking of great advantage but no-one to know what it is!!” Unbelievably £2000 was invested in this one!"

"Then the ‘bubble’ in London burst. The stocks crashed and people all over the country lost all of their money. Porters and ladies maids who had bought their own carriages became destitute almost overnight. The Clergy, Bishops and the Gentry lost their life savings; the whole country suffered a catastrophic loss of money and property."

"Suicides became a daily occurrence. The gullible mob whose innate greed had lain behind this mass hysteria for wealth, demanded vengeance. The Postmaster General took poison and his son, who was the Secretary of State, avoided disaster by fortuitously contracting smallpox and died!"

"The South Sea Company Directors were arrested and their estates forfeited. There were 462 members of the House of Commons and 112 Peers in the South Sea Company who were involved in the crash. Frantic bankers thronged the lobbies at Parliament and the Riot Act was read to restore order."

We're getting close to that point.

[1] https://www.historic-uk.com/HistoryUK/HistoryofEngland/South...
The desktop version has more marketing material. The mobile interface is more of a companion to the desktop. I know that's laughable in today's mobile-first world, but (a) our target audience is "power users" who are desktop heavy, and (b) we generally suck at marketing.

We also have a live demo at https://www.buxfer.com/demo (or click "Live demo" on the desktop/mobile website)

Please feel free to contact me at shashank@buxfer.com and I will be happy to assist you with any specific questions, in case the marketing material is not sufficient.
Mars Helicopter Technology Demonstrator [pdf]
tight deadlines reeks of death march and burnout. How is the company culture? Why would anyone want to commit to tight deadlines? Those with passion and dedication are easy to lure into neat projects but the more experienced ones smell your death march and go somewhere else.
yeah, it's not really that special, I suspect a lot of people share this knowledge from innate sources. I always looked up derivations in Discrete Mathematics(again, innately as my primary-mode of understanding) and to this day... Anyways, not very special at all.. I bet you too love office hours to discuss the professor's dissertations and enjoy long distance running too?
Yes, it does have an API.

Through which you can sync your user database to WHMCS and account status like (active, suspended, terminated) etc...

But if you've stripe payment plugin (or any other plugin for that matter) enabled in WHMCS, a customer has to login to WHMCS and make payment in WHMCS only. So, it gets in the way.

The approach to integrating SaaS app with WHMCS is quite hacky and involves pain.

And many things are designed with hosting industry in mind.

For accounting, we simply use WHMCS reporting, see: https://docs.whmcs.com/Reports
We extract the various reports, send it to our bookkeeper and that's it.
Did she at least come with a dowry?

I'm just continuously amazed this is happening in a modern, western society.
This book is amazing. But I'd suggest everybody to read the version edited by Martin Gardner in 1998[1]. The first version written by Thompson ignored the use of limit, and it also used terms that aren't used anymore. For example, the older book used the term 'differential coefficient' which is now known as derivatives[2].

[1] https://www.amazon.com/Calculus-Made-Easy-Silvanus-Thompson/...

[2] More about the difference between old and the new book https://en.wikipedia.org/wiki/Calculus_Made_Easy
I never claimed AI was boring or run of the mill, just that it's not in my current interest. It's when I hear Hawking make claims like this, I call ignorance.

"Computers can, in theory, emulate human intelligence, and exceed it,' he said. 'Success in creating effective AI, could be the biggest event in the history of our civilization. Or the worst. We just don't know. So we cannot know if we will be infinitely helped by AI, or ignored by it and side-lined, or conceivably destroyed by it.”

I feel like I'm in a high school stoner circle, yeeesh!
For me, Star Trek future is mix of politics, technology and physics.

In terms of politics, I see just deterioration in my region. We get technology we want (smartphones), but not what we need (carbon sequestration, better food sources). Our current tech is ruining the planet.

And as a developer, I see a lot of new and different, but little better. But that might be also connected to my world view already.
I live in Laguna, cycled by this accident today, own a Tesla, and can attest to consistent autopilot issues in this section of the highway. The road widens with a turnoff to the right, and in my experience that is exactly the direction autopilot wants to go every time, rather than follow the center line, even when it is tracking a lead vehicle that does so. There are no lines to the right, so I’m not quite sure why it does this. But, I can understand how an innattentive driver might end up in this situation because until this point in the road autopilot works great.
You have power over your mind - not outside events. Realize this, and you will find strength.
I'm not sure if that would be an effective way to get kidnappings deterred.

There are varied policies on kidnappings, discussed here: https://www.npr.org/sections/money/2017/09/01/548032302/epis...

Interestingly the "no ransoms" policy seems to be quite problematic.
Pros and Cons of Samsung Galaxy S9 Plus
Aren't cars doing that today with their physical saftey systems?

How else would they do it than incremental?
> People believe them because of their credentials, when professors who actually teach AI will say otherwise

While some experts like Andrew Ng are sceptical of AI risk, there are lots of others like Stuart Russell who are concerned.

Here is a big list of quotes from AI experts concerned about AI risk: http://slatestarcodex.com/2015/05/22/ai-researchers-on-ai-ri...
Great you solved AD with this one simple trick!
This might not be true: https://www.npr.org/sections/money/2017/09/01/548032302/epis...
I would assume they would teach you basic things like these in the driving school? I suppose that's not the case?

Learning a "new" thing like that would probably make me hastily begin to wonder what else I might be missing.
If the site isn’t offering any paid services to EU citizens how will the EU fine them?
I actually did the same thing and compared to other languages, Python really does have amazing documentation. I knew C/C++ since middle school so I didn't really run into problems and looked stuff up on an as-needed basis without any major problems.
Sounds like a great way to get the hostages killed at the same time.

Maybe it would work _after_ the kidnappers have been paid.
Does the date when a student hands in a piece of work (which seems to be what they are measuring) corrolate with when they actually did the work?

It seems to me that a student who did the work early, but then sat on it for some reason (maybe to polish it), is very different to one who did the work at the last minute - even if they handed it in on the same day.
Honestly as much as it is slightly irritating to see deep learning hogging all the glory, there's a lot of money being sloshed around and quite a bit of it is spilling over to non-deep learning too. Which is great. An AI winter may be coming, though I think it's at minimum several years off, since big enterprises are just getting started with the most hyped things. If the hype doesn't return on its promises enough for sustained investment (that's a rather big if since the low hanging fruit aren't yet all picked) then the companies and funding will eventually recede, maybe even trigger another winter, but just as it takes a while to ramp up, it will also take a while to course correct. In the meantime all the related areas get better funding and attention (and chance to positively contribute to secure further investment) that they'd otherwise not have since we'd still be stuck in the low funding model from the last winter.
Why is there packet loss? (2011)
Canadian Yahoo hacker gets a five-year prison sentence
Ask HN: Will it be useful for the user if  GitHub repo has what/why/who section?
Everyday I come across a lot of github repositories through HN/Reddit/Personal blogs. I get a little confused about what is this repo about ( the problem it is actually trying to solve), why this solution when there are lot of other solutions exists and which already solves the same problem (why) and who can benefit from this (who). I understand that if you take a look at the repository and use it, you will be able to answer those questions but again you need to have that much time also.
Well, that was condescending for no reason.

I drove around five miles to my friend's house and back today. I'd estimate that I was in near proximity with potential for collision with around 1,000 cars on that trip.

During the portion of a flight where traditional autopilot is used, how many planes are on a potential collision course? They're traveling at specified altitudes, along specified paths through 3D space. So tell me, how many planes is a jet airliner likely to collide with at cruising altitude when operating on autopilot?
How to Install Go on Ubuntu 18.04 LTS
I worked for De Beers about 30 years ago, already they used to produce some industrial diamonds artificially, it wasn't a big deal then but when you see what large volume industrial stones get mined from kimberlite pipes in existing mines it probably didn't make economic sense. Gem quality stones are far less common
I don’t think it’s helpful or even correct to say “people are dumb,” as if this is purely a user problem.

The system exists in a bad gray zone — one that works well enough most of the time you stop paying attention. But it’s not full proof, so you get the worst of cognitive bias here.

Personally I think this faux self driving (literally falsely named auto pilot) should be outlawed. We cannot depend on people to take over when the car generally is handling the situation most of the time. Either manual or fully automatic — this in between will continue to cause too many bad accidents.
We call it deep learning, but it is deep pattern matching. Extremely useful, but don't expect it to result in thinking machines.
Interestingly in US paying the ransom was illegal, nowadays they are reverting that, since it was highly problematic and resulted to more deaths for the hostages, and longer hostage times. And in the end the ransom often still was paid.

My source (which I have been pasting here already 3 times): https://www.npr.org/sections/money/2017/09/01/548032302/epis...
They have DOI numbers, don't they? So you can just use sci-hub.
They aren’t trying the same account multiple times. Well they may be conincidentally (if the user uses a unique password per site and has been breached from multiple sites so appears in the breach list multiple times with different passwords) but not that frequently. What they are looking for is the intersection of users who reuse passwords and have been exposed by a breach and those users who have created an account on your site reusing the same password. Which is perhaps not surprisingly a relatively large percentage of your users.
Well, the whole point of diamonds is to show off wealth. Natural diamonds and their defects are more expensive and very hard to replicate crystallographically , so they're not doing anything unexpected.
Traders with Pockets Full of Crypto Quit Wall Street
I think you mean Result or Either like Haskell etc., not Maybe.

Additionally, Swift has essentially the same approach to C FFI.
So you just aren't altruistic then. As I said, they are orthogonal concerns.
Are our brains magic? If they aren't then surely they must be doing something that we can reproduce.
We've built so many things that we considered "thinking machines" in the recent past (realistic speech synthesis, image recognition and captioning, human-level translation, elaborate recommender systems, robust question answering) on "deep pattern recognition".
Show HN: Generate beautiful list sites from your spreadsheets
New Pixel 3 Leak Reveals Google's Disappointing Design
Have you ever compared Vanillin to real fresh Vanilla yourself? Yes, it replicates a large part of the flavor, but certainly not all of it.
The title doesn't seem to embellish the article, and others are noting that the author is credible. Sorry to hear that you were blocked from being able to read it.
That's still pretty expensive imo. I want $100 to get me a few ounces.
Fast, extensible, configurable, and beautiful linter for Go
I wouldn't jump to any such conclusions.

De Beers has spent the last 100+ years controlling the diamond industry's economics in it's entirety, from mining (via such contracts) to retail. They even invented the diamond engagement ring tradition, as we know it today. De Beers are most active on the wholesale side, where they control supply (and when they can, demand) to maintain stable, high "prices."

...That's why they are/control a cartel. I have no doubt that de beers does not intend to enter this market so that they can compete in an "efficient" level playing field. That's not what they do. They want to exert control over one or both of these markets, in some way. That is always the de beers business plan.

Anyway... I always get a little worried when people apply the basics of supply-demand logic everywhere. Classical economics describes markets of a certain type: many buyers and sellers, reasonable transparency & information flow, not too much collusion, reasonably low transaction costs, mild psychology/cultural effects..... This is some fraction of the economy but not all.

Supply-demand is not the main thing determining outcomes (prices & volume) in a lot of big markets: labour, financial services, banking, oil, ISPs... diamonds. Supply and demand effect those markets, but not in a way that can be described by 2 intersecting curves.
Do you see anything else wrong with the story in the article other than perhaps the advertising might not be targeted enough?

Are you concerned that it may not be the right thing to do even if it is technically legal? I am guessing you work in adtech, I am wondering if you or your workplace has a model to address those kinds of questions?
Disclosure: I'm a founder of a YC company, but am not on YC staff and have no internal knowledge so don't read this as an official YC answer.

Reference checks aren't normally part of the selection process, so it's not a normal occurrence for your employer to be contacted, whether or not they're a YC-funded company.

I have heard of a case years ago when a founder of a YC company got upset that a newly-appointed employee was applying to YC as a founder of another startup, without revealing he would be doing this when he applied and accepted the job. In this case, YC partners played a role in resolving the dispute, but I don't think it was YC staff who initially alerted the employer. The dispute was more about the perceived dishonesty of the employee in committing to a new role while having a strong intention to leave soon if his own startup was accepted into YC, so it was more about honesty and integrity than merely losing a team member.

YC does look for founders with decency and integrity, so it will matter to them that you've been upstanding in how you handle things with your employer.

Equally, you are entitled to follow the path that seems best for your long-term interests, and indeed a really good employer will be supportive and encouraging of you pursuing your ambition to become a founder just as they've done themselves. Ideally they should be willing to recommend you to YC and be a mentor for you, but it's more likely to get this kind of support if you're transparent and good-natured in the way you conduct yourself.
Could it be this one from 2013? http://blog.priceonomics.com/post/45768546804/diamonds-are-b...
Read again, the housing is $800, the plane is 2.5m.
Turns out https://news.ycombinator.com/item?id=17154971 was not a joke.
Same here, Fan of ACC & lane keeping. The one thing that bugs me about my car (2018 VW Tiguan Allspace) is that it'll never get "better" at ACC & lane keeping.

The factory defaults are what it's going to be, compared to how some tesla owners describe their cars to handle more situations better over time.
So, Hawking's preposition is that AI can surpass human intelligence. Is this the part you're disagreeing with? It's one thing to disagree, and it's another to call it ignorant. I for one agree that it can / will surpass human intelligence, it's just a question of when.
I could imagine there being some interesting tactical situations where you have to decide whether you want to take the risk of passing the ball to an opponent 1 player who has an opportunity at scoring in the goal of opponent 2. Your own goal is always going to be adjacent, so what if opponent 1 sees the opportunity to put the ball in YOUR goal instead?
Israeli Drone Gets Wounded Soldiers from Battle Field
Can't speak for the other items, but these

>translate over 100 languages in Google Translate;

>caption over a billion videos in 10 languages on YouTube;

barely even work. Yeah, it's a difficult problem but it's not even close to being solved.
It wouldnt even be hard emulation in a strict sense of the word. 8086 itself is microcoded. Anything from https://3.14.by/en/read/homemade-cpus will be able to run equivalent microcode. https://gigatron.io/ is about 1000 transistors/diodes, totally doable by hand if you are crazy enough.
As the saying goes, never attribute to malice what can be adequately explained by extreme stupidity and the first-worlders' googels of prosperity that is sustained by silent injustices and extreme malice that is literally not recognized and certainly not acted upon by like all of them.
Yeah, but it's usually more about a chance to socialize with other people in the field.

It's also interesting to hear other people's talks that serve as a "teaser" for what's in the paper.
I'm in same boat, except now I have to deal with both this and blockchain.

It's pretty clear to everyone pushing this is being dishonest. Sometimes I wonder if they intentionally being dishonest or if they just don't know what they don't know. Very few people are doing useful true machine learning, and the applications are very specific with its own set of quirks. It's just to make some quick money and get out.

What somehow is never being said with all this hype is that you need to hire good software devs to make a great solution to a problem. All these buzzword driven ideas tend to confuse a bunch of people and die out after wasting everyone's money. In my region I keep seeing a bunch of business suits pushing X idea being solved with Y with no justification or engineers behind them.

Yesterday I have found out I have to have yet another meeting to explain why "blockchain" does not translate to a full solution given to a very superficial poorly thought out problem.

The only reason I've had a voice in my region with all this noise is because I've made things people see that actually work.
Another case in point.
http://www.latimes.com/local/lanow/la-me-ln-tesla-collision-...
Evan Spiegel encourages Facebook to ‘copy our data protection practices also’
The inconvenient but amazing truth about deep learning is that, unlike neural networks, the brain does not learn complex patterns. It can see new complex patterns and objects instantly without learning them. Besides, there are not enough neurons in the brain to learn every pattern we encounter in life. Not even close.

The brain does not model the world. It learns to see it.