skysight-inc/HackerNews huggingface dataset:
It's also been a long time for me, but I believe you're correct that annotating functions with "throws Exception" makes the function unchecked. However the problem is still twofold: (1) You have to change the called function. (2) The default is wrong.
This is a vast engineering field studied before the existence of neural networks.

Keywords are "control theory", "sensor fusion", "automated decision under uncertainty" that you can look on Google, Wikipedia and arXiv. Also "Simultaneous localization and mapping" which is a good example of using uncertain data points from different sensors to build a representation of the reality.

In those systems, a neural network is just another sensor providing augmented information.
What I'd do is train it on a large diverse set of foreign objects, then test it with a different diverse set of foreign objects, to see if it is possible to make it generally robust. Basically, the goal is that any feature which is not overlapping with the "elephant" should not be influenced by it.
What did they expect? Being so hostile towards the big US tech companies was a bit of a stupid move and very short term thinking.
I am sorry to inform you that this post is not that funny.
The paper:
http://science.sciencemag.org/content/361/6408/1246

Here's a bit more on what they did:

>We applied a new approach (17) to test the lichen, protist, and animal hypotheses by studying biomarkers extracted from organically preserved dickinsoniids. Hydrocarbon biomarkers are the molecular fossils of lipids and other biological compounds. Encased in sedimentary rock, biomarkers may retain information about their biological origins for hundreds of millions of years. For instance, hopanes are the hydrocarbon remains of bacterial hopanepolyols, whereas saturated steranes and aromatic steroids are diagenetic products of eukaryotic sterols. The most common sterols of Eukarya possess a cholesteroid, ergosteroid, or stigmasteroid skeleton with 27, 28, or 29 carbon atoms, respectively. These C27 to C29 sterols, distinguished by the alkylation pattern at position C-24 in the sterol side chain, function as membrane modifiers and are widely distributed across extant Eukarya, but their relative abundances can give clues about the source organisms (24).
>> However, Chandrasekher had earlier brokered a deal with the Chinese province of Guizhou to fund part of Qualcomm’s server chip work. In return, the local government demanded the transfer of chip designs and exclusive rights to sell the processors in China.

This is common and the reason people say we don't have free trade with China. Many companies have made such short sighted deals which will be the death of US economic strength if it's allowed to continue.
The data is very, very weak. I think that most scientists and engineers from Spain, Italy and Greece have similar experiences to mine, though. I got my degree and masters in one of the above. I left to work in northern Europe. I came back home because I got a PhD grant. The chances of obtaining a stable job as researcher or teacher are not great. Doesn't take a lot of imagination to guess what my move will be once I am a doctor.
Please, correct me if I'm wrong, but isn't the whole machine learning testing approach based on the recognition the whole image at once in full resolution in one attempt? If so, it's not how animals see and observe the world and this could be a key difference between AI and living beings.

What if an algorithm actually had a focused sight? Look at the brightest feature, blur the rest, then try to find another distinctive details, look closer into the parts of the image until the most of it becomes clear. Let other neural network control the scanning process and loop until it develops some confidence in the result. Can it work that way?
There's definitely some of that. A lot of things that would have just been ignored or glossed over a few decades ago now tend to lead to (for both better and worse) investigations and news stories. That said, I do think that, to at least some degree, rules have tended to replace self-regulation.
>Because there's always another type of 'elephant' to be thrown in.

Well, you could randomly generate and render 3D objects, and paste them into photos. This will give you a huge space of 'elephants'.
To be fair here, it's not the people with the best self-control, best logic or best analytical minds, it's the best memorizers that become doctors.
Also, the space and time complexity analysis is incorrect for Trie: https://github.com/TheAlgorithms/Python/blob/master/data_str...
How long have you been at the third company?

What kind of tax-deferred accounts allow $2M in deposits in less than 50 years?
+ 5,000 for Postico. Such excellent software.
Perhaps the first question we should answer is if our closest primate relatives have this same behavior among their adolescence? Especially given to what extent adolescence is a social construct and not biological (which seems to clash with the idea this is found to happen in all societies, probably an interesting point to look more into).
I think the general understanding of the need for formalized semantics on the web is going to grow when people realize that chatbots think the answer to "name a fruit that isn't orange" is "an orange": https://hashtag.ai/blog/2018/09/23/fruit.html
> It should be "Neural networks Confronts...".

I disagree, for the following reasons:

- The paper is called The Elephant in the Room. Technically the paper confronted the popular machine learning approaches, so the reversal would have been a more eye catching headline. "The Elephant in the Room confronts Machine Learning" is a rare opportunity to honestly play with word order in a way that would arguably be more attention-grabbing.

- Machine learning is more general than Convolutional Neural Networks, but less general than AI. This seems appropriate for this type of popular science publication.

- There are approaches that use attention and RNNs and they are an interesting approach, but by no means mainstream nor producing state-of-the-art classification accuracies. Actually, second take is exactly what an attention-based RNN can do.

- The last time I checked the state-of-the-art solutions to image classification involve Convolutional Neural Networks.

If there was an approach that was even close to approaching ConvNet performance, I would agree that it is perhaps unfair to condemn the entire field. Even then, we would be in the territory of generalizations in headlines, which are often fair. "{party} proposing legislation" is a probably bigger generalization of headline that would generally pass without criticism.
The whole "just go to bed early. duh!" mentality never worked for me. It still doesn't. I'd just lay there and couldn't fall asleep.

It's not as easy as "just go to bed earlier."
What would AIs change about this? They need to be trained with existing diagnoses, so my expectation is that they will describe common cold medicine 50% more efficiently.
Well, to me, this is not journalism. Journalists have a strong ethic and respect for the meaning of words to relay high quality information.

This is science vulgarisation, or a magazine article. Not that there is no value in it, but it's an over-generalization.
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>Oh those poor snowflakes, having to speak to non-expert clients without mocking them!

So much aggression...
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This is entirely why I find engineering far more trustworthy than 'science' in 2018.

Academia has a professor who wants to prove their idea is true. They rig up an experiement to prove their idea is true. They teach a kid how to collect the data. Then wow, they proved it true! Discovery? No.

Engineering- prove your idea works and dont stop until the problem goes away.
Excel doesn’t support mapping over columns or rows?
I took those out, thanks.
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Did they actually publish the data sheets for this one? Is there mainline kernel support?
Well, CNNs are already trained on "a large diverse set" of objects, in many different configurations.

By the way, something that is not described in the article- the referenced paper also describes experiments where objects where translated inside the source image itself - so not in another image. And the tested networks were still confused.

So it's not "foreign" objects that are the problem. It's that neural nets generalise very poorly. Show them something they haven't seen before and their ability to recognise it falls off a cliff.
Yes, check out "attention" mechanisms. The network can use wide convolutions for the image as a whole, effectively mixing data kind of like a blur function, and also use finer convolutions for a small piece of the image that it chooses to focus on.
I'd like to see the graph placed along side data showing the rise in ad blockers too.

I have the feeling there would be a correlation.
Thank you, I will have a look. Just out of curiosity, what do you mean by 'uncertain' in this context?
Attendance is mandatory already. This will just make it easier for kids to leave. In fact, they'll be coming and going all the time. Isn't that the whole point?
> Oh those poor snowflakes

Indeed; it boggles my mind that people are so forgiving of doctors. Why do we not demand the same level of respectful conduct from them as we do from others?

Is there a "Code of Conduct" in the medical community?
Does the problem of elephants still exist with such approach? It doesn't seem right that an unexpected feature in a corner of the image would have a dramatic impact on the recognition of the features elsewhere.
Autism is also related to Gut issues. Some of us parents have been showing proofs, but we were mostly ignored. I hope this evidence will be helpful in taking us seriously.
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> Bringing back the "Don't" in "Don't be evil"

What an introduction to the repo of that readme.
TRIZ principles are things like Oxidants, Thermal expansion etc. which have very practical meanings in a material context.

The amount of creativity you need to apply them to software means it's only a form of provocation like Eno's oblique strategies or just flicking through a dictionary. IMHO it's too far from what TRIZ aspires to be i.e. "reuse proven methods drawn from research".

If we want a software version, we need to do software research but good news, we have! We call them design patterns.
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Yes but children can pass these tests when presented with a single photo as well (if I understand the setup correctly), so I'd say it's a fair comparison. The algorithm can "look" at the picture as long as it wants as well, e.g. using many different convolutional filters that can "see" features in different parts of the image and then combine these in later stages of the analysis.
Not only that, but it has replaced other devices. The modern flagship cell phone is a great value when you realized it replaces the digital P&S camera, the video recorder, the music player, and for some uses the computer.
Most people won't pay for a subscription and most times the content is too sparse to organize as one despite providing some value (e.g. niche blogs).

I've 2 niche blogs and tried several ways of monetisation along the years. I only kept a direct ad (that adblocks can't detect) and amazon affiliates. I ditched Adsense (from 50€ it dropped to 1€/month) and tried donations (patreon, buymeacoffee, paypal) but it's not the right niche for that (art students).
Why did you remove the quotes in the title? Makes it super hard to read and understand.
Interesting. I never thought depression could result from just diet. I thought depression is mostly a factor of your life situation, and how you feel about life.

Did you stay off depression long after your water fast? Do you regularly fast?
> - The paper is called The Elephant in the Room.

How is this argument related to the confusion of the terms Machine Learning and Neural Networks...?

> - Machine learning is more general than Convolutional Neural Networks, but less general than AI. This seems appropriate for this type of popular science publication.

The most appropriate term is the most precise one, in this case : neural networks

> - There are approaches that use attention and RNNs and they are an interesting approach, but by no means mainstream nor producing state-of-the-art classification accuracies. Actually, second take is exactly what an attention-based RNN can do.

Correct, but you are still talking about neural networks...

> - The last time I checked the state-of-the-art solutions to image classification involve Convolutional Neural Networks.

And again neural networks.

‍️
Don't forget the monumental flop of the Microsoft Kin. $500,000,000 on development, only 500 sold.
> Can't say the same, my parents were ones of few people making 6 digits in early Russia. Mom working in one of first foreign banks in Russia as a de-facto CTO, and father having a trade company. Opportunities were there, no way to deny that. People who report stories of near starvation genuinely "had to work hard" to get to that near starvation point. Even dockers and labourers in my father's company in Vladivostok had few hundred buck net per month salaries in 1996.

Good for them.

> Ones who got to that point probably were commies themselves, or were the type of people "sitting around and waiting money to suddenly fall upon then from nowhere just for that, and a nice diploma they had" as they did back in "good ol soviet times"...
That sounds like a generalisation with very little empathy.

The people I have in mind are not ethnic Russians. They didn't live in Russia. One of them had their parents deported to Siberia by the Soviets. Neither of them were in the Komsomol. One of their children was born in 1990. The only serious employer in their city stopped paying wages for months on end. If/when paid, they received 120€/month (early 1997) - for skilled masters degree work. They simply didn't have any buffer to escape the mess. They were definitely not the only ones...
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Full study: https://www.cell.com/current-biology/fulltext/S0960-9822(18)...
9 to 5 is the norm. 8 to 5 is absurd.
"toxic" is the new "problematic" is the new "offensive" is the new "sinful".
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I made about $75k when my last company IPOed. I had worked there for 2 years before and had a relatively junior salary and not many options. I had a range of options at different strike prices, they averaged out to about 100% gain, but some were more and some were less.

People who had been there long had both lower option prices and more options and made quite a bit.
As a mobile dev at the time, I wish motorola had faster CPUS (or it may have just their JVM lacking a JIT).

Either way, Sony and Nokia had decent speed, but motorola was like molasses, which is a shame as they weren't too bad to dev for.
Triz isn't a secret. It's easy to find about it if you seek to improve your inventiveness.

You're comment assumes that the best methods always win, and become a standard practice everywhere .

But maybe not always ? Maybe there are other factors, like schools, and marketing , and luck ?
1. Expert mocks client

2. Poster remarks "Poor expert"

3. I make a retaliatory post highlighting how ludicrous it is to say that the expert who mocked the client is also the victim somehow

Your "OMG look who's aggressive" deliberately ignores pretty much all the events being discussed.
The article states that the fossil was "an animal", without further explaining what actually constitutes "an animal", or what characteristics made it unique compared to other organisms at the time (or now for that matter). Maybe it's evident to people in the field, to a layman (like me) the term 'animal' is fairly fuzzy.

I went to Wikipedia and found this definition: "With few exceptions, animals consume organic material, breathe oxygen, are able to move, reproduce sexually, and grow from a hollow sphere of cells, the blastula, during embryonic development".

So these 'Ediacarans' fall into this category?
Pictures of faces don’t do anything to “secure flights”.
I know very little about machine vision, so forgive the naïvete of this question:

> an ability humans have that AI lacks: the ability to understand when a scene is confusing and thus go back for a second glance.

Wouldn't the machine return a low confidence score when a scene is confusing? If not, why is this difficult to get around?

If so, why can't we just call this a computation difficulty problem, simply requiring a way to go back and spend more effort later when required? A problem like this would simply require better computers, and patience.

In other words, Is this problem as deeply rooted as the article suggests? Or is it simply a problem with the popular approach to machine vision?
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We all know that the same teenagers that want to sneak out of their houses at night to go on their escapades (typically 2:1 supervision) would totally follow the rules of mandatory attendance (40:1 supervision )
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Oh, I don't know about that. In Ekrich's ' At Day's Close: Night in Times Past' [1] seems in pre-industrial age society the norm was 'bi-modal sleep'.

First or "deep" or "dead" sleep, as it was sometimes called, often seems to have taken place shortly after sunset, or at least before 10 in the evening. After two to four hours of the night's deepest rest, people would wake up for an hour or two, then resume sleep for another stretch before rising with the light.

During this waking period, people would relax, ponder their dreams, or have sex.

Many might find the later a good description of teenage behavior. Couple that with the physiological fact that

For men, levels of testosterone are highest during sleep and require at least three hours sleep to reach this peak. [2]

And just maybe teenagers are reverting to form.

-----------------------------------------------------------

[1] At Day's Close: Night in Times Past - Ekirch (2006)

[2] https://www.sciencealert.com/chemical-messengers-how-hormone...
Not the original grandfather, but I'm a fellow migraineur. I read Sarno's book, and found it to be unhelpful. From what I remember, the gist of it is that "unresolved emotions" cause a great deal of physical problems in some patients. That's not a theory I'm willing to trust.
> ...no competing theory that does have hard evidence has been proposed, so current behavior is actually the first rationalization.

I think it would be even more reasonable to investigate WHY this is being discovered now rather than a long time ago. What has changed in the lives of teens now compared to 3 or 4 decades ago?

I suspect one thing is a much higher percentage of "structured time". Teens today seem to have far more time obligations than my generation did. As a result, socializing and free-time ends up getting pushed to interstitial times, late at night _and_ online.

Young people need unstructured time for ad-hoc socializing and discovering who they are and there is less opportunity for that now so it happens later at night when their obligations have been met and the time is their own. That's a simpler explanation than primate sexual urges.
I think the high expectations are mostly a result of us making so tremendous (from our point of view) progress in the understanding of the universe in the last 100 years. There's no reason that nature should make it so easy for us to discover new laws of physics in the future though, especially since our technology is still quite limited (e.g. we can't produce very high energy particles and can't control quantum systems very precisely yet).

It is said that at the beginning of the 20. century many physicists thought that there wasn't that much more to discover and that most of the theories had been worked out already. There were a few areas where "weird" phenomena were observed (notably in electrodynamics and atom theory) but many people were confident that these would eventually be resolved with the existing theories. Fast forward 20 years and two completely new fields of physics (quantum mechanics and relativity) were discovered.

Personally I still think that we've just scratched the surface of the laws of the universe and it's not impossible that we'll have another wave of theories that will make our current understanding of physics seem hopelessly outdated by the end of the century. And in fact there are some areas where "weird" stuff seems to happen, dark energy or dark matter is a good example for this. I'd be really disappointed if we already discovered everything there is as well in terms of the laws of physics, I mean how boring would that be?
Actually, you don't need to believe that to have incentives to move to Firefox. Read more about some of Firefox benefits here (besides, obviously, the ungoogle side of it): https://fiatjaf.alhur.es/entulho/firefox-vs-chrome.txt
It looks like growth started to stagnate somewhere during 2017

- https://pagefair.com/downloads/2016/05/Adblocking-Goes-Mobil...

- https://pagefair.com/downloads/2017/01/PageFair-2017-Adblock...
Having a mix of Perl and Batch files, using the Symbian C++ dialect did help on that.

But the platform was actually getting quite good before the burning platforms memo thanks to PIPS and Qt, oh well.
And strangely enough it gave the title to the book in some countries, in Italy it is "La caffettiera del masochista".
> Anyone who talks about sleep as if it’s some kind of inconvenience and getting less of it is a virtue should be challenged. These people are dangerous.

This statement was bizarrely totalitarian. I actually agree with the fundamental premise that many schools probably start too early. But to say those who take the other side are dangerous people who need to be challenged? Too far.

Ironically, I think this Soviet-esque mentality that "people who disagree with idea X are dangerous" is dangerous!
You hit the right point: sparse content is the enemy of the subscription.

If you keep your content focused/niche enough I think overtime you should have a nice following.

I would love to discuss the problems with your two blogs, I'm actually trying to solve them.
Titles can be at most 80 characters long, and this one is currently right at the limit. Given the number of small changes, clearly the submitter was cutting everything they could to get to 80 characters :) If you can suggest a rewrite, maybe the mods will change the title.
Racist speech that is legal in America is prohibited in Germany.

Additionally, many video games have had to release versions with reduced blood and gore in Germany, due to laws prohibiting the uncensored original versions.

http://www.dorkly.com/post/80945/germany-censorship

There are lots of examples of the German government restricting free expression.
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I just spent 15 minutes putting a picture of a bear with a top hat riding Abraham Lincoln with laser eyes into all the online demos I could find. They weren't unintelligible responses, just a bit crap. They said "weapon", "animal", "person", etc. I'm not sure how much global context they really use, in my experience it has been latching onto a weird bit of local texture. More work to do...
You could declare throw() exceptions in C++. If you did that the runtime would intercept and typecheck any thrown exception against that list. Calling code could rely on that list since any not listed exception would cause the application to terminate. Modern C++ replaced that with noexcept - a function either can throw or it can't and template code can branch on that information.
You may want to put your glasses on and reread the post you're replying to.