skysight-inc/HackerNews huggingface dataset:
I've had severe attention issues, that I always thought it was caused by ADHD, but after many years of trying everything I could possibly think of. I realized it was caused by anxiety deeply rooted in painful emotional experiences which influenced how I reacted to stimuli. I realized this after a reading a book on trauma. After suffering from terrible panic attacks for many months. and tirelessly trying to meditate for many hours a day for months I wasn't seeing any progress. I still couldn't sleep, and felt like I would never be able to relax or focus on anything. My life completely changed after doing Neurofeedback training.

By far the most amazing technology available for improving the mental condition of human beings. There is a reason people can super focus on things they enjoy, your emotions are the guide to what you choose to put attention on. When you have nervous, anxious or negative reactions to anything because of past experiences and preconceived notions you cannot fully concentrate or go in and out of flow states.

You can use EEG sensors to see the reactions your brain has to any task, concentrating, reading comprehension or math problems. With the technology you can see how your brain is reacting, how it "focuses", how "calm/alert" it is and if its "daydreaming" and my major problem which was "busy-brain". When you can see and hear feedback, you can "feel" how flow/concentration are constantly being interrupted. Eventually you can train your brain get into these flow states, get into them faster and under stress. I am only 25% through all my sessions and I have just begun to feel and see the magic that is flow. You conscious mind just shuts off and you just "do it".

This is makes a huge impact of meditation as well, you can sit still and focus on your breath, but I find it far more effective to focus on your feelings. I try to guide them and bring them towards courage, passion, love and appreciation. Which brings them closer towards inspiration and happiness and a better functioning mind.

This is all just from physically/emotional painful experiences. So I guess just take with a grain of salt. But it's made huge differences in my physical/mental well-being.
Also, if you are not yet using 64-bit Chrome, you really should. It is more stable and avoids internal "out of memory" errors individual tabs can sometimes return. Not the default Chrome for some reason!
yeah I was just trying to illustrate what I meant, like, the process. And you're right, I didn't know it was so tumultuous so with your clarification it's an interesting observation :)

(By comparison the specifications for C don't break earlier compilers often at all.)

Thanks for the clarification :)
>Better time-of-flight depth cameras will be here soon enough. It's just basic physics. I worked on one for my PhD research. You can get pretty clean depth data with some basic statistics and no AI algorithm wizardry. We're just waiting for someone to take it to a fab, build driver electronics, and commercialize it.

You should talk to us at Leaflabs. Commercializing research-level tech in embedded electronics is what we do.
Jid – Drill down JSON data incrementally
I remap Caps-Lock to a Ctrl/Esc combination: When it's pressed and released on its own, it sends an Esc; when it's used as a modifier key (pressed together with another key), it sends a Ctrl. I haven't touched the Esc key in years.

When you consider what the keyboard layout on the machine on which vi was made looked like: http://xahlee.info/kbd/i/vi/terminal_ADM-3A_keyboard.jpg , it's easy to understand why dual-use caps-lock makes the usage feel smoother and more natural than on regular PC keyboard layout.

For anyone that would like to do this, here are example instructions for both Linux and MacOS:
http://www.economyofeffort.com/2014/08/11/beyond-ctrl-remap-...
The Multiverse Part 1 (docu with Sean Carroll, Raphael Bousso, Yasunori Nomura)
Ansistrano – Ansible role to deploy apps in a Capistrano style
However as ma2rten eloquently describes, for the purpose of AI research it might be beneficial to bite through the harder AI required when only having access to stereo vision.

A lot of problems are not tackled on a fundamental level. Occlusion, context, proprioception, prediction, timing, attention, saliency, etc.

A simple rat has more intelligence than whatever is behind a dashcam, security cam or webcam.
Blue Ribbon Commission Urges Next President to Strengthen Cybersecurity Efforts
I understand that most people working with deep learning wouldn't want this type of thinking to spread amongst the public, and I surely don't want it either.
But you have to be totally unaware of reality to think that DL is the definitive tool for AI.
Most impressive results in DL in the past 2 years happended like this:

>deepmind steals people from the top ML research teams in univerisites around the world

>these people are given an incredible amount of money to solve an incredibly complex task

>a 6000 layers deep network is run for 6 months on a GPU cluster the size of Texas

>Google drops in their marketing team

>media says Google solved the AI problem

>repeat every 6 months to keep the company hot and keep the people flow constant

>get accepted at every conference on earth because you're deepmind (seriously, have you seen the crap that they get to present at NIPS and ICML? The ddqn paper is literally a single line modification to another paper's algorithm, while we plebeians have to struggle like hell to get the originality points)

I'll be impressed when they solve Pacman on a Raspberry Pi, otherwise they are simply grownups playing with very expensive toys.

Deep learning is cool, I truly believe that, and I love working with neural networks, but anyone with a base knowledge of ML knows better than to praise it as the saviour of AI research.

Rant over, I'm gonna go check how my autoencoder is learning now ;)
SEEKING WORK - Austria, Europe, On-Site

Your most productive developers are leaving suddenly and without telling you anything about their reasons? Churn eats away any team productivity?

A developer needs about 6-12 months after they are hired to be at their best efficiency. That means that even when a developer leaves and you immediately rehire, you do get at least a 50% productivity loss for more than 6 months — while paying them the same wage.

It doesn't have to be this way. Keeping your developers happy and reducing churn in your team makes you more revenue, increases the quality of your product's code, and improves your product's user experience. But it needs more than free food and pingpong tables.

I'm here to assist you. With 10 years of experience working as a senior developer, team lead, and product lead, I know what makes a developer happy and what doesn't.

---

Christoph Hochstrasser

E: christoph@hochstrasser.io

T: +436649228651
Anyone have any perspective as to whether these gains will flow to
Electron?
S.F. lost almost $450M in revenue last year thanks to Prop. 13
[edit: removing comment as people made it unreadable anyway.]
does this help the battery life in any way?
The current state of machine intelligence 3.0
OSS-Fuzz initial impressions
I don't know, I kinda like ".bind(this)" to bind the current scope to a callback.

class Vector{
constructor(x = 0, y = 0, z = 0){
this.x = x;
this.y = y;
this.z = z;

setTimeout(function(){
console.log(this.x + ", " + this.y + ", " + this.z);
}.bind(this), 10);
}
};

var v = new Vector(1, 2, 3); // prints 1, 2, 3

Edit:
Ok I can see this be potentially useful for function chaining, I just don't do that very much.
Indeed, Oakland County is a great example. It has happened elsewhere in the state of Michigan but not on as large a scale. When you look at Genesee county and the hole that is Flint with the its wealthier suburbs around it.
Paradise Lost: My Mac2Win Journey
Yeah, kinda funny that youtube still uses flash. Then again I'm not all that surprised considering all the weird decisions Youtube makes.
> But there should be no ambiguity, with enough data.

What? I'm sorry but this runs counter to everything in my experience, both professionally, and just casual very day experience.

More data, helps to a point, but then there's diminishing returns, and it certainly doesn't eliminate the ambiguity. On the contrary, you discover diversity, and you still have a misclassification and perhaps even a harder data cleaning problem, because now you're seeing cases that aren't actually clear cut. Even if you're only talking about adding more features, well again, that works up to a point, but then you hit sparsity issues.
If they didn't, then that would mean development on Electron had stopped. Or that the Electron team needs to remove these features in their fork, and considering how much grief Electron's RAM usage gets, I don't see that happening.
Not to my knowledge, but I wish. Sounds like a great gift.
Robotics and automation have been improving for a long time, and especially recently. Look at the rise in consumer drones, enabled by improvements in batteries, sensors, and computers.

But the main thing holding them back is a lack of AI. Robots can do a rote action over and over again, but they have a hard time identifying where objects are, planning, and reacting to their environment. Just solving machine vision would be a massive step forward and enable a ton of applications.

And that has sort of already happened. The best nets are already exceeding humans at vision tasks. They are learning to play video games at expert level, which is not conceptually distant from robot control. Its taking time to move this research out of the lab and into real applications, but it is happening.

And so I totally believe that at least 50% of current jobs could be automated in 10 to 15 years. How many people are employed doing relatively simple, repetitive tasks, over and over again? Me and most people I know have jobs like that.
I don't think that there is a "balance" to tip, it's just that the previously theoretical work of the latter group is starting to become practical to the former in a business setting. Neural networks have been a topic of research for many decades before consumer demand for graphical video games drove the technology to make them practical. Backpropagation was first described as a solution to efficiently training multi-layer neural networks in 1975 but only in the last decade have we developed the infrastructure for non-CS researchers to use complex neural networks using a sub-$1000 teraflop GPU and an iPython notebook.

Off the top of my head the closest analogy would be number theory, especially the study of prime numbers. Before information technology in general, number theory was esoteric and considered useless by many pure and applied mathematicians (I'm simplifying a bit for argument's sake) but all of that accumulated research proved massively useful once we started to communicate electronically. WWI and II cryptographers didn't become or absorb number theorists as a group, they just adapted the knowledge to their field under the umbrella of electronic warfare. I think this is happening with data scientists, who are starting to experiment with ML but it's still just another tool in their toolbox. The media hype train focuses on the flashy AI contests and muddles the terminology but the real work [1] is happening behind the scenes in data science.

[1] By "real work" I mean work that directly translates into value on a company balance sheet. The theoretical work is important in and of itself and has been happening for decades.
It's the default on Mac, not sure on windows.
The guidelines ask you not to complain about downvotes, but it's possible that users voted you down because you've taken the thread off topic straight into tedious controversy.

> Yep. This has what has happened in the Arab world. Bunch of testosterone with nowhere to go, so they joined a "Holy War" / "Jihad" and blow up a bunch of people and places. This is also the reason why the refugees from the Arab countries molested women in Germany and Austria.

This counts as introducing a flamewar topic without anything new to say. Please don't do this.

https://news.ycombinator.com/newsguidelines.html
Mobile Dwellings in San Francisco
They mentioned that weather.com crashed their website. Their website is always extremely slow for me as well. It's ridiculous how poorly designed their website can be for such a simple service.
I assume that would be a hypothetical best created by combining aircraft from many different countries? What do you imagine that would look like?
https://chrome.google.com/webstore/detail/back-to-backspace/...
"Genetics and the placebo effect: the placebome" https://www.gwern.net/docs/nootropics/2015-hall.pdf , Hall et al 2015
What would you call it though? This thread is about killing life because rich folks want meat?

Define "life". Because last I heard, plants count as "alive" too?

One of the possible alternatives I'm aware of is ground up insects. Those are the same kind of "alive" as other animals, and yet AFAICT the "don't kill anything" people seem to things it's at least less bad. Even tho it takes a lot more of them to get the same amount of nutrition.

Are you aware of things called "obligate carnivores"? How do they fit in to your moral framework?

Have you played with evolutionary algorithms? Systems that have appropriate sensors / feedback loops to avoid harm to themselves (could even be as simple as a speed governor on an engine)? It can really be... odd to try to think of "life" (or even whatever term we're currently using to assign moral weight to anything capable of feeling pain) in general as being all that unique and special, when I can build something that meets most parts of most definitions in an afternoon.

.

Humans are omnivores, and I have the teeth to prove it. Stop demanding that I forsake my heritage, especially over some half-baked philosophy that isn't even compatible with my experiences.
How does this compare to Firefox?
Quicklisp is not panacea, even though it simplifies matters to a substantial degree for people new to Common Lisp.

On the other hand Quicklisp has serious issues:

+ Minimal if any documentation of internals.

+ A substantial chunk of the codebase can only be described
as spaghetti code. To make matters even worse, most functions lack documentation strings. A sad state of affairs given the interactive and self-documenting nature of CL.

+ Is vulnerable to man-in-the-middle attacks since it verifies neither certificates nor checksums. This means that using Quicklisp can get you owned. Unacceptable these days.

+ Operates over a 'curated repository' model that Xach is managing. The repository has been found to be vulnerable to man-in-the-middle attacks in the past since packages were fetched over plain HTTP or git://. Even if that wasn't the case, it's yet another element in the chain of things to trust.

+ Few if any people besides Xach are working on quicklisp-client to mitigate these issues. Lack of documentation and spaghetti code is not helping to attract new talent.

+ Xach is employed by Clozure Associates. I understand that they've allotted him some time to work on
Quicklisp while on the job, but it's still a side-project.
Look at the number of open issues at Github. Many have been there for years.

For these reasons, I don't use Quicklisp myself. I also advocate against it to friends and colleagues who share my views on software distribution mechanisms.
[far.vim] Beta2 changelog
No, if anything the energy impact looks worse than before on OS X. I love Chrome, but the fact that it's almost completely unusable on laptops that aren't plugged in is problematic.
I find ".bind(this)" to be preferable over "var that = this" anyway.
Just started learning Go. How is that possible?
Does this mean the GC tries to do its thing without a pause? Or is it not doing its thing? What is happening here?
What is the speed of light in a photon's frame of reference?
Would be interesting to have a raw comparison to the JVM e.g. to the new GC1 which can handle also >10GB with low pauses. I know from experience (with the JVM) that you can get nice pauses on average, but what about the maximum values?
you have a lot of interesting thoughts and a depth of experience in these subjects - if you could get better at the presentation aspect I think you'd have a lot to offer people.

I come from more of a taoist background, when I read the tao te ching it changed my life. I would see how he tries to present his ideas - vague, contradictory, unprecise - as I think that is a much better way to communicate these attitudes (ie the insights of meditation/awareness/secular "spirituality") to most modern cultures today.

better than that, check out alan watts, he introduced much of eastern philosophy to the west and he is probably my favorite public speaker of all time, period. he makes everything sound profound and mysterious and yet a meaningless joke at the same time - just like the ideas really are.

back to our "disagreement" - I think we're just working from opposite directions of the same core fundamentals (yin/yang, in other words) - your approach is very rigid, precise, and ruthlessly blunt and honest. my approach is more boiled down to essentials, focused on a roughly correct understanding that will guide most people in the right direction over time, and forgiving - flowing like water as a taoist might say.

the fact is, unlike in many western cultures and ideas (unlike stoicism, which is arguably the western "version" of eastern thought and attitudes), there's no contradiction between our approaches I think - they're more like two different teachers where some personalities need your precisely rigid approach and some might benefit more from a more taoist approach. Ultimately in my life I've needed a bit of both but at different points - the strong harsh ruthlessly honest self-discipline most recently, and the relaxed, intuitively focused, flexible taoist approach when I was a stressed teenager.

I hope this helps make things clearer for anyone reading this as if reading a debate.
Current ruling party (BJP) is left as far as left's ideologies goes
Report on Securing and Growing the Digital Economy(.pdf) ::

https://www.nist.gov/file/334321
SR is the model of fixed continuous space-time (and the "inertial frames of reference" are defined only in such model). Thus the SR is applicable to the reality only as much as the real space-time can be approximated by such a model. That approximation is pretty good usually, except at the very large scales (the non-fixed, expanding, nature of the real space-time starts to show more than negligible deviation from the SR model) and at the very low scales where the non-continuous nature of the real space-time starts to play a role.

>“anti-de Sitter” (AdS) space. In these warped worlds, spatial increments get shorter and shorter as you move out from the center.

and that sounds like the metric is p-adic there. While our typical Cartesian coordinates express the metric naturally produced by the real numbers, at large scale the world may have different metric. Our 46B ly radius visible Universe's Schwarzschild radius is about 10B ly, so if we go about 160B ly beyond the visible Universe border - we "can" do it as otherwise the Earth would be the "center of Creation" - we will have the 200B ly radius Universe which is inside its own Schwarzschild radius equal to those 200B ly - so our visible 46B ly radius Universe is basically inside that large black hole and at that scale the space seems to be AdS.
Pretty much every large firm has multiple problems ML can solve better than linear/logistic regression. Smaller firms may still have one or two. In some industries the core competency will be how good your ML model is as everything else becomes a commodity. There are new advents that make ML better for small data-sets as well as opportunities for data-brokerage to increase access to data. And these are just current applications, new applications are still nascent (i.e self driving cars). Treating ML as a software problem instead of a science project - with a pipeline of adding/creating data, cleaning, modeling, analyzing, learning, and iterating is also incredibly important but it's not like most companies are doing this particularly well either.
I'm curious why this is the case. You'd think if Google wanted 64 bit Chrome to be the default, they'd do it on both platforms even if only for consistency's sake.
The underlying changes are in V8, so you'll see them in Electron too.

https://v8project.blogspot.co.nz/2016/10/fall-cleaning-optim...
Interesting, there seem to be a couple of change ringing towers with Ejisbouts bells in the US. Thanks for sharing!
RAM is one of your least power hungry components compared to other parts of your computer, such as what generates heat (CPU/GPU) or produces physical motion (fans or spinning drives).
If, your habit involves your computer. I use SlimerJS to automatically remind me to fill in a time sheet I use at work. After a month or so this resulted in me remembering before it popped up to remind me. Sort of habit forming. I think what was key was that it popped up with an actual window that I could perform an action on, plus the visual aspect.
Louis CK on Walmart
Location: Odessa, Ukraine

Remote: Now

Willing to relocate: Yes (USA)

Technologies: Ruby (Rails, Merb), PostgreSQL, JavaScript/HTML/CSS, GIT

Résumé/CV: https://www.linkedin.com/in/homenko

Email: xoma.serg@gmail.com

Hello, I'm a Senior Software Engineer. I work as web applications developer more than 10 years. Want to relocate to USA.
The comment was flagged because of its tone and the frailty of its reasoning.

It's not impossible to write a survivable comment expressing (what I presume to be) the same kernel of thought that comment did, but to do so requires more careful writing and more clarity of thought than that comment had.

Recklessly inflammatory comments don't survive on HN, and that's a good thing.
Whatever the guy's decision I don't blame him - it's his heritage and I trust him to do what's best. Someone like that will have put a lot of thought into it.
Yann LeCun – The Next Frontier in AI: Unsupervised Learning (RI Seminar)
from my testing, there's also a bit of a dip in js perf. maybe due to GC aggressiveness tweaks.
They had over 20 different ones, but I do remember seeing some by 3d systems. Did not see any makerbots.
Hard to know. Lower memory usage will generally help battery usage, but it sounds like the garbage collection is more aggressive now, which might offset the savings.
IIRC, Lua 5.2 uses NaN tagging as LuaJIT does, and has 64bits values.
It is man's fate to forever believe that the universe is a complex composite of his latest discovered technology.
My unhappy life as a climate heretic
Doesn't work. Same problem.

But thanks for the tip about quarantine. I removed it from the folder and app with xattr and now I can start it.
I use weather.gov instead for precisely this reason.