skysight-inc/HackerNews huggingface dataset:
I find it interesting in general how people, after seeing a one-sided video or article or whatever, wonder "how can X be so irrational and stupid"?

X can be a judge, a politician, etc. This is often followed by something about conspiracy or incompetence by simple selection. But still, people rarely think about what really went on in the head of the X. They just like to strawman X and reshare the narrative.

It often turns out (at least 50% of the time) that there is more to the story and X's decision process is actually reasonable given all the facts they has to deal with.

But I am impressed by why people have a tendency to ignore that.

I guess in a meta way, my own comment engaged in the same thinking to some extent, about commenters.

I will say one more thing though: the # of comments a political item gets indicates how controversial it is, while the # of shares it gets indicates how many people agree. Horizontal vs Vertical measures. Anyone write about this?
There is a new research going on in Neural Turing Machine which, in theory, can exactly do that. Maybe we have to wait some time to see NNs can sort numbers.
I'm curious how many people think this is valuable as a stand-alone device? Does it need to have it's own screen and interface? Would it make more sense built into something like a thermostat?

I have a friend who is working as a designer on a project where the lead wants a UX and screen for a device that the owner would rarely interact with. It seems similar with this device, why go to the expense and trouble of having a built-in screen rather than just using a mobile phone (which Speck built as well).
Have you thought about 3D printing these? Not sure how you'd colour them but could be interesting.
Do you have any blog posts regarding your experiences with Elixir?
Uber's biggest competitor will be an open-source p2p-system, like openbazaar, that achieves the basic functionality of uber.
Definition of arguably: "it may be argued"

If a position can't even be argued, you necessarily must assert the opposite:

"Britain is not the most corrupt country in the world"

(or phrase it as a question and invoke Betteridge)
Facebook already has Wit.ai which is extremely similar to Microsoft's LUIS, and in some ways more advanced.
For some value of unique.
I totally see him running for the President in 2028.
You joke, but Microsoft managed to get some of the brightest minds in programming language design to take a look at Excel, too.

"Improving the world's most popular functional language: user-defined functions in Excel" (http://research.microsoft.com/en-us/um/people/simonpj/Papers...)
Could I possibly learn more about your warehouse challenges without applying? I'm looking for real world data regarding automating warehouses. :)
This is not just a reply to you, but to everyone who is making a similar point: if you own a minority share in a company, you should realize that you can rarely call the tune. There are a great many issues in the running of a company that you are not entitled to dictate, and this is one of them. What is the better alternative to '50%+ seeing over the rest'? <50% seeing over the rest? If so, which minority?

Furthermore, even a passing acquaintance with human nature should lead you to the conclusion that people will routinely claim they are being screwed even when they are not.
Location: Bay Area

Remote: Yes

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The linked paper claims their tool issued as least one warning on 40% of the C or C++ packages, not that they were all valid warnings indicating undefined behavior.
Indeed. It also doesn't provide any evidence to support the notion that workforce usage is "distressingly common."

This is hardly any less sensationalist than the 1914 NYT article they mock.
VMs usually do have BIOS (sometimes you can see it flicker on the screen) but like NeutronBoy said, the hypervisor just creates the virtual hardware devices in a pre-initialized state so the BIOS has to do almost no work and it completes in a fraction of a second. Clear Containers boots even faster by not using BIOS; the hypervisor directly loads the kernel and initrd into RAM. So in this case "booting" means starting the kernel, mounting the root filesystem (accelerated using DAX), running init, starting dockerd, etc.
> Honestly, I don't see the problem with this.

The problem with it is that it makes the restriction a waste of paper. Anybody can satisfy it just by formally accounting for the reciprocal favors people already do for each other. You might as well make it unconditional and save everyone the paperwork.

> An EITC keeps people engaged with the economy. So sure it starts with me hiring you to clean my gutters and you hiring me to clean your gutters, but eventually I discover that my comparative advantage is cleaning gutters, and then I can provide value to my neighborhood cleaning other people's gutters, and maybe even grow that into a business.

Which doesn't really work when your comparative advantage isn't cleaning gutters and you're only looking for some generic labor to use to claim the EITC.

> Sociologists and economists have measured what happens to people on unemployment

...which you lose as soon as you get a job, creating a perverse incentive that a basic income doesn't.
> The ATM would send/queue a notification to some other resource in the bank network, for that to do the whole email notification piece.

Reminds me of those people using `resource' as a synonym for `warm body'..

(You are absolutely right in your intended meaning, though.)
I love your index page. It provides a very clear message and is really powerful. Very nice project!
If you ended with "That's the promise of the Information Superhighway", it would be an MCI commercial from the '90s.
I understand and empathize with the skepticism or rather criticisms around hand wringing with respect to the implications of current deep learning methods.

However, as someone who builds them for vision applications I'm increasingly convinced that some form of ANN will underlie AGI - what he calls a universal algorithm.

If we assume that general intelligence comes from highly trained, highly connected single processors (neurons) with a massive and complex sensor system, then replicating that neuron is step one - which arguably is what we are building, albeit comparatively crudely, with ANN's.

If you compare at a high level how infants learn and how we train RNN/CNNs they are remarkably similar.

I think where the author, and in general the ML crowd focuses too much is on unsupervised learning as being pivotal for AGI.

In fact if you look again at biological models the bulk of animal learning is supervised training in the strict technical sense. Just look at feral children studies as proof of this.

Where the author detours too much is assuming the academic world would prove a broader scope for ANN if it were there. In fact however research priorities are across the board not focused on general intelligence and most machine learning programs explicitly forbid this research for graduate students as it's not productive over the timeline of a program.

Bengio and others I think are on the right track, focusing on the question of ANN towards AGI and I think it will start producing results as our training methods.
GPFS has an amazing number of features, offers high performance and, given a certain fiddliness of configuration and administration, is reliable and performant. It can even sit on top of block storage that itself manages with advanced software RAID and volume management.

The problem (surprise!) is IBM. It's mature software, which means 21st Century Desperate IBM sees it as a cash cow - aggressively squeezing customers - and as something they can let their senior, expensive developers move on from - or lay them off in favor of "rightsourcing". You can certainly trust your data to it (unlike Lustre), but it'll be very expensive, especially on an ongoing basis, and the support team isn't going to know more than you by then. Also expect surprise visits from IBM licensing ninja squads looking for violations of the complex terms, which they will find.

As for Lustre, it brings to mind Oliver Wendell Holmes, Jr's, "Three generations of imbeciles are enough". I've been at least peripherally involved with it since 1999, with LLNL trying to strong-arm storage vendors into support. Someone should write a book following 16 years of the tangled Lustre trail from LLNL/CMU/CFS -> Sun -> Oracle -> WhamCloud -> OpenSFS -> ClusterStor -> Xyratex -> Seagate -> Intel (and probably ISIS too).

The answer to your question IHMO, is that Intel just isn't that smart. They're basically a PR firm with a good fab in the basement. What do they know about storage or so many other things? People don't remember when they tried to corner the web serving market back during the 1st Internet boom. They fail a lot, but until now had enough of a cash torrent coming that it didn't matter. They still do, of course, but there are inklings of an ebb.
Leadpages (www.Leadpages.net) - Minneapolis, MN | Full Time | Business Intelligence Analysts, Python Engineers, Marketing Designers, QA Test Leads, Product Owners, Product Marketing Managers, Technical Support Specialists, etc.

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We currently have full-time opportunities for:

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Interested in emailing me directly? You can reach me at Tiffany@Ave81.com

Let's build something awesome!
Code without Keywords
Needs (2015) tag. See also the official release announcement[0] and documentation[1].

0: https://coreos.com/blog/rkt-0.8-with-new-vm-support/

1: https://github.com/coreos/rkt/blob/master/Documentation/runn...
From my intuitive understanding (not an expert), very abstract description how it works in general:
- you have real world problem -> task which you need to solve
- you build model (algorithm, math method & etc) which should solve the task
- you need to find optimum of the complex function (error function)

Third step is usually finding optimum of the function. Deep neural networks help you to move complexity from step 2 to step 3. One example you mentioned, when feature engineering is moved from 2 -> 3. So you can use simpler methods on step2 to solve same problems, or extend problems area which you can solve with the same complexity on step2.
If this post is a response to anything, it is most similar to Google's recently announced Allo, at least from a product perspective.

It's a little tough to figure out what Facebook's goal with the post was though since it's not very technical.
How to block input to webcam
People have been working on neural nets for over 50 years now. The topic goes in and out of fashion. Nets are more powerful now and computers vastly more powerful.
https://en.m.wikipedia.org/wiki/Perceptrons_(book)
I think there's a difference between single player games, and competitive multiplayer here.

(Even further: in single player games, people often even intentionally handicap themselves. Either directly for the challenge, or because they are role-playing.)
I'm not quite sure what you're replying to. I was not talking about hashing pointers at all. Bare, raw, pointers on the M68000 are 32 bits, but the CPU only has 24 address lines, and the top 8 bits are disregarded. But starting with the 68020, the CPU has 32 address lines and the top 8 bits are not disregarded.

The point is/was that relying on bits that are unused today is risky because it has historically tended to ensure your software breaks when the next CPU generation needs more of the possible address space.

Note specially that a lot of the apps that used the top 8 bits did not use it for type tags that might imply safe usage, but often used it to store unrelated data.

E.g. lets say you had a data structure with a number of pointers and a number of flags. You might very well decide to pack the structure so that the flags overlapped the top 8 bits of the pointers.
Occasionally after lunch, I'll get hit with this intense wave of sleepiness, which no amount of caffeine seems to be able to fix. The best I can do is stare at my screen blankly through half-closed eyes while my brain is more or less shut off. It can last up to an hour. It's horrible, I've literally looked up motels in the area to see if I can nap during my lunch break but no luck :(
Analytical Flavor Systems | Middle of Nowhere Pennsylvania (State College, moving / more offices soon) | Full-Time | Onsite | http://www.Gastrograph.com/

Position: Full-Stack Engineer |or| Data Scientist |or| Sales (inside or field)

Application & Data Stack: Golang, Javascript, Docker, R, TensorFlow, MySQL, AWS

Team: we're a diverse 7 person (all technical) company (across Data, Engineering, and Chemistry)

Analytical Flavor Systems uses machine learning and artificial intelligence to build tools for the food & beverage industry. Our Quality, Process, and Market Intelligence services create real-time predictive decisions metrics at each stage of a products life-cycle. We leverage our predictive models across products & industries for flavor profile optimization, production process optimization, demographic targeting & cognitive marketing - helping companies create and sell the best product to their highest value consumers with every batch.

Our Services

_Quality Intelligence_: Real-time predictive quality control, assurance, and improvement from human sensory data.

_Process Intelligence_: Real-time predictive process control and optimization from human sensory data + manufacturing & LIMS data.

_Market Intelligence_: Linking flavor-profile, demographics, and sales data to find the highest value consumer demographics for a product's flavor-profile.

The Position(s)

_Engineering_: Web-application focused full-stack engineer capable of integrating the data pipeline and outputs of machine learning models into an easy to use management platform.

_Data Science_: Data science is central to our predictive Quality, Process, and Market Intelligence services. We didn’t build a data science team to optimize our product's marketing spend, sales funnel, or client retention – we built a data science team to build our product. We need data scientists who can understand our clients and can take a nebulous business goal, create a set of quantitative decision metrics, and build predictive models to optimize those metrics.

The extensive role of data scientists at Analytical Flavor Systems allows us to invest in their education across sensory perception (standard sensory science so they know what we’re improving and replacing), tasting experiences (so they appreciate the products we work on and understand how the data is collected), production knowledge (test batches in our R&D brewery and roastery so they understand the data they work with and how our predictions impact a client’s process), and data science tear-downs (a meeting where the team collaboratively attempts to find and fix problems, try new techniques, and debate the philosophical implications of a model's construction).

_Sales_: We prefer the thoughtful relationship builder to the cowboy negotiator. Most of our contracts are multi-year high-price affairs, so relationships are really important. Plus, you get to spend your time at breweries, distilleries and roasteries! (I've personally never been to a sales meeting where beer or coffee wasn't served freshly brewed)

Next Steps

Please submit something awesome to JasonCEO@Gastrograph.com to apply.
natrius got it. The explanation you may be looking for is (mostly) here: http://urbit.org/posts/address-space/#-initial-allocation-an...
It's obvious that your parent was talking about servers in production. Isn't this entire thread about that?
Why Will You Marry the Wrong Person
Hamburger menu is a good short-hand when talking about UI with someone who already knows the terms.

Similar to lots of other technical or jargon terms, it's not a good description for a (new) user.
Networked Bolo over AppleTalk blew my mind as well.
Thank goodness. So tired of learning haskell = become a master of solving algorithms.
There are a lot of innovations recently, not just the computing power -- layer by layer unsupervised training, batch normalization, ReLU, dropouts, momentum, gated memory unit, neural language modeling, encoder-decoder just to name a few.
Again, I do not disagree with you. However, the hardware vendor (the one who sells the parts that will be used on these devices) still keeps selling about the same devices.

And these are the kind of devices Intel has decided to overlook 15, 20 years ago and now ARM is eating its cake.
SEEKING WORK - remote

Location: Michigan (EDT)

Growing a business is hard. Customer demands keep coming in. The feature list is getting longer by the day. Launch deadlines are looming. Your developers are starting to burn out.

What if you could mark items off that feature list?

What if deadlines didn't feel so intimidating?

What if your developers felt relief because they could focus on specific features?

Get ready to work with a developer that can take the anxiety out of your Rails development projects. I'm experienced in full-stack Rails development, but perhaps more importantly, experienced in working with a variety of different software teams and projects. Agile. Remote. Small teams. You name it. You can rest assured that I'm not a developer who goes "off the radar"...hiding and building out "clean code"" only to turn up in three days to find out that what they built isn't what was needed or has the wrong tasks prioritized.

Communication is key and I understand that, because I have learned the hard way and I have seen others fail at it too.

Growing a business means getting everyone to row the boat in the same direction, which we all know, is harder than it sounds. I'm here to help.

Interested in talking more? adam[at]adamdelong.com
And if you can't find someone (=clients) paying you, you won't have a business. And if you can't make a case that someone would very likely pay you, they won't approve your plan.

Such programs aren't VC funds, they are a way to get tiny companies off the ground and to legalize under-the-table gigs (which are worse for both worker and state in the long run).
Anecdata: Once I started ADHD treatment I went from drinking 5-6+ pints of builder's tea[1] one after another into the afternoon, to one, maybe two, in the morning.

1. https://en.wikipedia.org/wiki/Builder's_tea
There was a discussion about old school Mario on Hacker News a while back.

It teaches you everything you need to know. It doesn't teach you about the run-button; and some people never found out about it. (And to the designers credit, you never need the run button in any part of the game to finish it.)
Battleship game algorithm comparison with results (2011)
Location: Oakland, CA (SF Bay Area)

Remote: No

Willing to relocate: Maybe

Technologies: Python, AWS, Django, C, Javascript

Résumé/CV: See my LinkedIn profile at https://www.linkedin.com/in/paul-miller-0383b741

Email: pwmiller74@yahoo.com

I am looking for backend positions in the East Bay or SF.
We had this argument in person! Or, at least we had a good chunk of it. It was cut short, and I think it's my fault for not re-initiating it.

As you may remember, I'm really not the person to answer that question sufficiently. But I would like to see you and Curtis have this out at greater length.
Discovering the AngularJS test library that saved me from repetitive UI testing
> I don't know why you are trying to make this point about adjusting for risk when the entire question revolves around what the stock was worth at a stationary point in time three years ago.

That you don't see how these two are connected is my point.

Let me take a step back. The value of a company is the sum of the cash that can be taken out of the business in perpetuity discounted back to present value.

A common mistake is thinking that you can nail this down to a precise figure. In fact, it is a range of potential values. Why? Because the future is uncertain, and those future cash flows are uncertain. In other words, there is risk involved. So in the optimistic scenario where everything in the business goes right, you get a high valuation. In a pessimistic scenario the valuation is lower. Which is correct? Nobody can tell from the outset.

Now imagine you are doing a valuation for a business, but for the value of that business 3 years ago. You have had the advantage of seeing the trend those cash flows have taken the past 3 years, and whether you admit it to yourself or not, it will influence your valuation. That is all I am saying.
2016 Internet Trends: Mary Meeker Report
Thank you for your answers!
Lots of menus on PC can be navigated with the arrow keys, and the highlighted items wraps around when you hit the top of bottom.
the speed at which they take effect is actually one of the most important things about addiction, that they make you feel better instantly. future positive outcomes are traded for instant rewards and negative future outcomes.
We can also learn from boardgames. The technology is mostly cardboard, though.

For example Eclipse manages to make the huge amount of bookkeeping in the game bearable with some very clever 'UI' on the player mats.

(https://boardgamegeek.com/boardgame/72125/eclipse)

Though for the really good designs you don't even notice the UI and bookkeeping any more.

For example: auctions are a tempting design choice when making a game, since they automatically balance the price of good and bad options available. But, they take comparatively long to resolve---so distract from the core of the game (unless it's specifically an auction game)

Instead some games introduce new options with a heavy mark-up and lower their price every turn. (See https://en.wikipedia.org/wiki/Dutch_auction)
I think this quote sums up the article's heavy handed, decidedly outdated view on mental health.

> ADHD drug abuse had become so commonplace on college campuses that Wesleyan University, among other prominent institutions, has tried to ban it altogether.

ADHD is a diagnosed medical disorder that affects millions of people in America. Why do we still stigmatize it in the modern age?