skysight-inc/HackerNews huggingface dataset:
If you're tiny you get out of a few GDPR regulations, like having a data protection officer. Also the GDPR mostly calls for reasonable and appropriate measures, which are terms that scale with company size (measures reasonable for a hairdressing salon are not appropriate for a fortune 500).

Making even further cutouts for SMEs seems unreasonable, after all the individual citzen has similar impact from a data breach in a medium sized company compared to a data breach in a large enterprise.
I agree, I don't know any front end devs who would choose Angular for a new project. The current choice seems to be between React and Vue.
Is anyone aware of a birds-eye catalog of common code abstractions?

e.g. linked list, hashes, lookup table, classes, counters, iterators, etc

(Not referring to books such as TAOCP which cover a few topics in-depth)
Getting a sparkML serialized model to drop into a JavaScript interpreter is not possible today from what I can see (and certainly wasn't the case 2 years ago). There does seem to be some good progress in the field with tensorflow.js and ml.js but nothing I'd put in production with a few million users. In native Scala the inference engine with a loaded model takes a few hundred MB of memory, I'd imagine with some JavaScript transpiling with emscripten or similar that would get ballooned quite a bit.

I'd be really glad if there was a viable method to do this without murdering the end user device.
These are good calculations. I think many people would like to go to a significantly larger field of view than 40 degrees. 40 degrees horizontally is not that much: the human visual field is over 200 degrees.

OLED-on-glass-substrate is allowing TVs to get lighter making them more installable. OLED-on-plastic-substrate TVs could be shipped rolled up. They may not be that far away (<10 years).
PyCon Startup Row Event in NYC This Tuesday (12/4)
I'm a volunteer for the PSF as an organizer of [Startup Row for PyCon](https://us.pycon.org/2019/startuprow/) and am excited to host a pitch event in NYC on Tuesday evening (12/4) at Giphy HQ.

Tickets are available [on Eventbrite](https://giphypsf.eventbrite.com?discount=nypython) and are free if you use the link.

Winning companies receive:

- Two passes to PyCon US this upcoming May
- Free booth space on Startup Row at PyCon
- Optional booth space at the PyCon jobs fair (because we know technical recruiting is incredibly important)
- A happy hour and an alumni breakfast.

I know it's short notice, but if you have a startup that has 15 or fewer people on the team, has been around for <= 2.5 years, uses Python, and you'd like to give a 5 minute pitch at the event on Tuesday, share here or DM me on Twitter or Reddit. Those handles can be found on Keybase at https://keybase.io/jdr. We already have several confirmed companies but would love to have more.

Docker, Lambda Foundry (which released Pandas), Mixpanel, and Nylas are among Startup Row's alumni companies.

If you're not in NYC or don't want to pitch in person, no sweat. You can apply to Startup Row through the PyCon website too via the first link in this post
Today's products might be better than yesterday's in some objective way, but do they create better quality of life either absolutely or per dollar? Does the modern barely-affordable house make its residents happier than its "laughably bad" predecessor? Does the modern phone with all of its bells and whistles make people happier than a more basic one, even before we consider things like app addiction and the 24/7 "virtual leash" aspect?

People today are paying more and going into debt for things that aren't functionally any better than what went before, and might even be worse. The reasons why are worth considering. Alternatives are worth considering. "Products are better" doesn't really get us anywhere.
It seems the previous article did not live long... My comment from another thread:

I will tell you how the short lived Russian democracy fell: it did not fell to "crazy mountain terrorists," but to people who kept on voting for food stamps, and free sausages (not a joke at all)

Now, when those people finally got to have a real reason to worry about having to eat grass in few years term, there are no food stamps left for them to vote for.

And this is also a good reason to think for Americans. When there are fever and fever countries who blindly buy American T-Bills by kilotons, what will you do when you have to multiple your T-Bill rates? Will you be ready to pay the price for printing money so carelessly for last 20 years?
That's inconclusive. For example, most people can tell the difference between the SACD and CD recording of a song. However if you take the SACD and convert it to 16 bits, 44KHz nobody does better than chance at telling the difference; the SACD and CDs were mastered differently, as is UHD and HD content.

Of course with HD vs UHD, we are usually talking about sampling rate, not dynamic range (HDR is a thing though). For downsampling, proper anti-aliasing is needed. One good way to check would be to take the UHD content, blur it and then present it on the same 4k display without changing the resolution. Then do the A/B testing and see what the results are.

If you just downsize to HD, then you will introduce aliasing artifacts, and then more artifacts will be introduced when the TV upscales to 4k again, and it's pretty well known that people can see aliasing artifacts at HD resolution.
Same problem with the Chevy Nova selling in spanish-speaking countries. (No va: doesn't go.)
Those are going to get wiped out by the next generation stealth startups utilizing the rilkef approach. I wouldn't ICO those last-gen legacy startups. You need to get with the times. And actually rilkef isn't all you need, there are more important holistic real-time quantum ledger architectures to consider. I’d tell you how it’s actually done but you wouldn’t understand it.
In Switzerland, women are still second-class citizens. They're supposed to stay home and raise the kids. Day cares are full with the kids of expats, Swiss kids to the playground with their mothers.
I've always wondered if this sort of thing prevents The GIMP from greater adoption.
The advice was basic high level advice which at this point should be common knowledge for anyone using the internet. I can see why they took down the blog post because it was disappointing content
Chumhum has rolled out their own solution, I’ve heard.
Or just people they don't like and eventually everybody. I think in a few decades the surveillance infrastructure of 1984 will look benign and quaint. Winston Smith actually could hide for a while.
Right. With personas, you're using demographics to predict behavior (and, occasionally, craft your product, which isn't marketing but rather product design).

That is another word for stereotypes.
Wait no longer - https://www.fanaticalfuturist.com/2017/09/samsung-to-unveil-...
Mozilla seems to have a habit of occasionally demonstrating really poor judgment in the areas they are supposed to be leaders on, like privacy and user control.
Even seeing cars capable of going 200mph is a rarity. Very few cars can go 200mph and they're all rather expensive.
Maybe: Delivery is much more expensive in the US, because middle-income+ people live in lower density, suburban areas. Much harder. even Amazon struggled.

So this means market share will probably be smaller in the US than the UK(which was quite low).

So maybe in the UK , that was one of the best growth opportunities for grocers. But in the US, with it's huge size, there we're better, less risky, standard growth opportunities.

So why would a manager risk his career on online groceries in the US ?
What is your point? That FT's business model might fail if they could not rely on copyrights? I think they need a business model that is better suited to the modern world if that is the case (or we need to own the fact that when it comes to newspapers etc. we are not interested in a market-based approach).
Sounds like you want https://en.m.wikipedia.org/wiki/Introduction_to_Algorithms maybe?
Right. It's using demographics to predict product adoption, service sign up, etc. This is finding the best-fit stereotypes.
It's not even a fair comparison when you consider the subtle differences between bytecode interpretations.
I addition to what other have said, even if DL can mimick what a brain (or rather neural system) does, nobody could really say if its a fly, sea urchin or monkey brain. Sure the last has the most neurons but thats certainly not all. And simple brains have existed for hundereds of millions of years, but really intelligent creatures remain the exception.
Because you are not the target audience for these papers.
ML researchers (or any researcher for that matter) don't have time to go through a long form blogpost or skim through a GitHub repo. There are tens of interesting results that come out everyday. Papers with abstract and sections is the most efficient way to understand the overall idea.

Blog post are nice for reaching outside of the research community.

Code should always be linked for people that want to reproduce, but they don't replace a paper.
> Turn that around. What value their collaborators on American side of the border provide them with? The answer is their English and marketing skills.

That makes sense. Thanks.
Well, yes, if you're using AWS KMS you are able to set up policies, revoke access through IAM, use alerts and monitoring, and so on.

But you're also forgetting that most data breaches in real life involve database backups, staging servers, development environments, and people with access. So envelope encryption really helps prevent those. Even if someone gets a hand on your DB dump they're unable to use it without authorization to the KMS, which they won't have unless they can also get into your application server.
I'm glad you two posted your experiences and it's really useful seeing them side by side.

It speaks to how difficult logistics like this truly is and how difficult it is to not only scale the service but scale the quality consistently across very different geographic regions working with very different grocers, etc.
> Just consider that there exists an entire class, entire design space of libraries known as “HTTP routers” which boil down to extracting arguments from the first line of an HTTP request.

This comment sounds a bit disingenuous. Routing involves way more than extracting arguments from the first line of an HTTP request, but its complexity is not due to HTTP. Routing is based on content negotiation, and essentially everyone is free to design their own personal content negotiation process, and very often they do.

Take, for example, content type. Do file extensions matter? Does the Content-Type header mean anything? If both are used what should prevail? What should the router do if none was passed?

On top of that, then let's add HATEOAS, HAL, content type API versioning, custom headers, etc...

In the end developers need to map HTTP requests to an action, and HTTP is not the problem.

Libraries are helpful not because the problem is complex, but because ready-made solutions are better than rolling our own. There are plenty of libraries not because HTTP is complex, but because plenty of people have their personal preference.
It's a nearly $10B company now.
Do you mind sharing what model that 165hz monitor is?
"where do you see yourself in 5 years?"

I once replied to that "as the CEO of this company". The CEO wasn't amused.
I think ZoL is LLNL’s attempt to make up for inflicting Lustre on us.
Flagged to hell. Just like this one will be. The HN double standard on political topics rolls on.
You can likely change the apparent gender by increasing/decreasing contrast
with high contrast looking more F
and low contrast looking more M

would be fun to see if the
high contrast M v.s the low contrast F
maintained apparent gender
of us
Cool! Could you share the results?
Have you released or opensourced the text editor? Sounds like a cool tool!
Why was the previous article flagged?
They do, but target restock doesn't seem to deliver fresh grocery, just the dry stuff.
I am not a lawyer, but I understand that pissing off a judge is a bad move. Just how screwed are Kramer and his lawyers? Can the judge summmarily dismiss the case against Facebook? Can Kramer and/or his lawyers go to jail for contempt of court? Can his lawyers be disbarred? How likely are each of these? I would be very interested to hear what the lawyers on HN think.
Why 5 years? Why not 1? Why not 10? 2? 4? How might those numbers change the answers you receive? Are you even testing to see how people's responses change as a function of that number? Are you even coding the responses in a way that would be able to detect how their responses change in response to that number? Is the variance in the responses small enough that you can even come up with a way to code them?

For example, if the interviewee is startup savvy and you ask the 5-year question then they understand the vesting cliffs are at play. Suddenly you're taking into account how savvy the interviewee is about the way vesting works. Was that the intention? If not then you're measuring something without even realizing it Either way: more variance!

Is it clear what the question is trying to get at? Do all candidates understand what it's trying to get at? Could candidate misinterpret the intent of the question given the fact that they're in an interview? Could different interviewers interpret the same response differently?

It's a "bad" question because it controls for very little and therefore inherently produces non-diagnostic information (such is the nature of humans). The level of variance in all the components of this question is exactly the surface area on which cognitive biases become the determining factor.

And the nature of cognitive biases is that you become more confident when they're operational, not less.

You can ask questions about career goals without going at it sideways. Here's some off the top of my head. I haven't thought them through from the above perspective, but as a first pass they control for more, are likely to get higher-signal responses that are easier to evaluate in a consistent, interpretable way.

- At your last job, what career goals did you have when you joined? Did you achieve them? How?

- Imagine you've been working here for 18 months. What would need to happen between now and then for you to not feel disappointed you joined?

- Think back to a manager who helped you define and achieve a professional goal (big or small). What was that goal? How did they help you achieve it? Why did that work?
I would spend well over $42,500 for an extra 820 hours.
Our interview question matrix has 3 columns:

* the question
* Why we ask this question
* What a good answer looks like, and often what a bad answer looks like; and occasionally follow up questions depending on their answer.

This is nice because then we can all internally debate about columns 2 and 3, and any new question you want to ask has to come with a 2 and 3 yourself. We actually learn a lot about our own values with this method.
Statistics disagree:

Rank Country	Ethnic Fractionalization Index	Cultural Diversity Index
63	Switzerland	0.575	0.418
85	United States	0.491	0.271
159 North Korea	0.002	0.002

Ethnic, Linguistic and Religious Fractionalization
Switzerland	0.531400	0.544100	0.608300
United States	0.490100	0.564700	0.824100
Korea, North	0.002000	0.002100	0.660400

https://en.wikipedia.org/wiki/List_of_countries_ranked_by_et...
I don’t think bitcoin will stabilize until

1) there is a bed of competing currencies around it with their own strengths and weaknesses

2) those strengths and weaknesses are well known and understood in the finance world

3) there are established versions of the major services we have around the US dollar: fraud protection, escrow, banking, exchange, etc

I would say that 2) probably requires two full rounds of PhD level study, so let’s say 15 years from wide scale awareness at a minimum.

We already have 1) although I suspect some of the true neighbors are early in development at this time.

3) Is slow going it seems. The USD ecosystem has had a long time to develop. It’s not trivial to set up sturdy, legal, reputable replacements since it’s an n-sided market problem.

... but I do think it will stabilize. Until then it has uses even with the instability, but it’s just not possible to estimate its true value.
Why downvotes? It is essentially the same thing when you can read plates from a low resolution movie where on a single frame you can see indecipherable number of pixels but if you combine the pixels from multiple frames and recover the car's offset you can compose higher resolution picture of the plates effectively being able to read them.
Sounds like a roller coaster is that $40k in 2 years?... Still more money than any side project made me....
I'M LOOKING AT YOU, JAVASCRIPT.
I thought "Customer Obsession" was their first core value?
I don't have good eyesight (far and shortsighted), so reading can be sometimes difficult for me. I was surprised how much easier the iPhone OLED screen (458dpi) is for reading than the 326 dpi LCD. The screen resulution difference made the iPhone XS worth it for me alone. Also, while I cannot "see" pixels on a 1x screen, a retina screen (e.g. iMac 5k) is much easier for reading too.
I hate when people just downvote posts that don't align with their politics.
It was removed:

https://twitter.com/asadotzler/status/1068961020540899329?s=...

But here's the original article:

https://web.archive.org/web/20181130081659/https://blog.mozi...
This 'study of reproducibility ' found the opposite: different sampling generally failed to produce different results. These contrived lab situations are remarkably relevant to the larger population, which has quite limited variation.

The issue was sloppy science, not a poor approach.
Prediction, instacart go bust in the next 36 months. What I have learned after nearly 2 decades in sales is that if an organisation needs to drop their prices to compete with a larger, more cashed up competitor, then their value proposition is comparably weak and certainly not sufficient to carry them in its current form over the long term.
Employee count seems like a really bad way to measure business size. A hardware store business with only a couple of stores could hit 500 and still be virtually unknown to everyone but a business like reddit owns one of the biggest websites in the world with an almost global impact.
This is basically the 360 review.
It's as natural and balanced as you want it to be. I recently watched "The Revenant" in 4k HDR on an LG Oled Panel, the movie was apparently filmed only with natural light (not in the way you meant, just that there was no artificial lighting for scenes). It's absolutely stunning to see as everything feels spot on.
A neuronal network refers to a network of real neurons. I think the article meant to say neural network

https://en.m.wikipedia.org/wiki/Cultured_neuronal_network
Yep, traditional drugs have their pitfalls too, but have had the advantage of rigorous trials that something like ketamine has not yet undergone. I'm glad it's an option, but there's really not a strong enough body of research for it to make it a first-line option. Yet. I hope that changes.

And, in the end, it is the patient's choice, within a certain circumscribed set of options. A good doctor works with the patient's needs. But it would be a very poor doctor that jumped to riskier options and less proven options first. The level of patient choice you're suggesting implies a level of informed patient that is frequently not the case. I rigorously research every single treatment option, discuss each one with my doctor, and we arrive at a course of treatment. But my doctor has indicated that I am, unfortunately, in the small minority in this respect. Your level of patient choice would invite all sorts of bad prescriptions to patients ill informed and, often, self diagnosed incorrectly-- a frequent issue leading patients to skew their conversations with doctors towards that incorrect diagnosis. In theory, in a perfect world, what you propose is fine. But we don't live in that place.
Why the fuck would an American have kinship with British east India company? If you want to wallow in white guilt, don’t drag us with you.

The people dying of opioid crisis are of all ethnicities.
My current setup involves a projector, where the screen width is just over 118 inches, and I sit ~ 8.5 feet away.

Plugging that into your formula we get ~5780 horizontal pixels, or about 75% of 7680 provided by 8K.

In the future it's easy to imagine going even more extreme if you look back to the past where the first mass-produced TV looked like this:

https://en.wikipedia.org/wiki/Television#/media/File:RCA_630...
> ... which, on podcasts, it always is.

That wasn't the question and it's out of the question.
Or the Mitsubishi Pajero in Argentina which literally means Mitsubishi Wanker.

They did change the name though, thankfully.
I think the dirty secret of all this is that it really doesn't matter much. I remember when Usenet was a thing; basically, nation states are acting like people did when they were first exposed to arguing on Usenet.
Interesting!

In the trailer, it looks like Madi's parents had a bit of mixed feelings on her meeting Aaron - one was happy, the other scared. Since she ultimately ended up moving to live with him (or in the same building?), I wonder how they've reacted since then.

She's an adult so I guess the moving around bit is around right on time anyway, but it does bring up an interesting consequence to this sort of meet-up for younger children, where the kids believe that they'd enjoy living with their biological parent more than they enjoy living with the people that raised them. And it's certainly possible that they might.
Alas, training times are quite long...
At any given time, there's probably a couple best-in-class architectures out there for the problem you're interested in, and one or two dozen interesting bells and whistles one can add as decoration, each with a paper that makes pretty reasonable arguments and has some stats demonstrating modest gains.

The right thing to do in this circumstance is an ablation study - throw together your best-possible model and then test different subsets of features sitting between your model and the 'basic' prior work. For large datasets, though, each of these models might take a very long time to train (especially if you don't work at a place with a stupid number of GPUs available).

So, lacking resources, you get your new best-ever accuracy number with your 'everything' model, and do an extensive write-up about how awesome the new bell and/or whistle that you added to the pile is... (The problem is compounded by a need to publish quick, lest someone else describe your bell/whistle first.)

Another big problem is that adding a bell/whistle to the base model often means adding more parameters to the model. There's decent evidence coming out of the AutoML world that number of parameters matters a hell of a lot more than how you arrange them. (It's real real easy to convince yourself that your clever new idea is more important than the shitpile of new parameters you've added to the model, after all.) So a really solid ablative study probably needs to scale the number of parameters in a reasonable way as you add/remove features... And there may not be obvious ways to do that smoothly.

And this is closely related to the replication study in psych: it's real real easy to do kinda sloppy work with big words attached, and convince yourself and all your peers that you're a genius.

I think a big database for reporting and searching for results with various architecture+dataset combinations would be much more useful than pushing more papers to the arxiv in many cases. (though, really, whynotboth.gif) Let me do some searches to see if a particular bell/whistle actually adds value across the god-knows-how-many-times someone's used it to train up imagenet from scratch...