skysight-inc/HackerNews huggingface dataset:
This is, I think, the fundamental problem with globalistic capitalism -- the total addressable market has to be either billions or zero.

Google kills products because they will only make a few hundred million, when time was that would be an enormous, fantastic standalone company.
Some are are custom built from apis but I daresay you can find just about anything to hit a webhook or integrate into slack or elsewhere nowadays. Some examples are https://littlebirdie.io/ I use to filter hackernews, Zapier for RSS & filtering feeds, google calendar etc, nothing complicated, just know what you need from a specific service then figure out a way to get it to yourself in a recurring distraction free manner be it an existing addon or something you can roll yourself.
You can use tensorflow's tf.data, I think.
This looks fantastic! Amazing that it is possible to make an AI output images that you want to hang on your walls.
Indian Tea Cafe Chain Startup Chaayos Bags US$21.5M
Facebook's fail is going to be epic (2008)
When they do that, they are focusing on the English subtitles and effectively filtering out the Japanese. If they tried to hide the subtitles and only glimpse at them occasionally they would start to see gradual improvement. Many people won't because they'll find they suddenly can't understand most things and it becomes exhausting. by that that's what it's like when you are really learning.

That being said it's still a slower way to learn because the language in anime is quite removed from a typical real conversation you will get in to.

I believe Krashen's theory is easy to misunderstand. If you only take a brief look at it you may think it's over simplified. The theory isn't just input in the sense that you've at least got the language going in you're ears. The "comprehensible" part means that you are comprehending via the language, using context to fill in the blanks. I don't think you learn from outputting language, but outputting is essential for producing the ideal comprehensible input.
For example, BTBurke's third point is to ask questions to a native speaker. Note that here, the native speaker is doing the speaking, and BTBurke is learning when listening, not when asking the questions. But asking questions to a native speaker like this and refusing to give up and go back to your native language engages the human brain in a way that simply watching some videos doesn't, and provides important context. Krashen calls this compelling input.
In BTBurke's first point, they say production is essential, but I think Krashen would say this so-called production (talking to native speakers) is really just using production to get ideal comprehensible input from native speakers when you listen to them speak back to you.
As for the 5 minute minute presentation. I would say that this 5 minute presentation is mostly just testing one's current ability, but the preceding the presentation there would be hours of looking up (and inputting) sentences that you wish to say rather than learning randomly, and that's where most of the real learning occurs.

I apologise for the "It's both right and wrong at the same time" kind of answer. In summary I believe BTBurke is a fantastic language learner, but if you look closely at what they are doing, you'll see they are providing themselves with plenty of comprehensible input, and the production/output as actually a more minor part that facilitates this input.
Some do. Some mean buying something like GLD. That leaves you the risk of the exchange going out of business, though. So some prefer to actually take physical possession of the gold. That leaves you vulnerable to being robbed, though. So some prefer to have it stored in somebody else's vault. That leaves you vulnerable to the vault company going out of business, though.

There is no perfect answer. Different people worry about different secondary risks, and do different things in response.
Ansible!

I’ve been working on a “mail to cloud storage” project on the side for fun, but also as an excuse to learn Rust.

As part of this effort, I decided to try out Ansible. Man, it is one great tool!

For development, I have all of my server “groups” pointing to the same host, so my Ansible playbooks install and setup everything on a single machine. Makes testing much easier tbh.
> Why are we suddenly so reliant on this shit like it's some kind of third arm? I just don't get it.

Because our lives are different. It was overwhelmingly common for a parent to stay at home a generation or two ago (yes, it was almost always the mother but there’s no reason that would have to be the case today). But plenty of families, my own included, need both parents to be working in order to get by.

Simply put, we’re paid less than people used to be. Housing is more expensive than it used to be. Transport is more expensive than it used to be. So we have to work harder and our personal lives suffer.
Costs me nothing. Some channels eventually reach their lifetime usefulness like a topic I was interested in and amassed some 500+ mentions of it on twitter, business news from 8 months ago about someone getting acquired etc. I can export the messages and delete the channel to avoid history archival. Only real cost would be the one or two times a year maintenance and improving bits and pieces every now and then.
Does this use any third party analytics libraries, facebook sdk, etc?
We should be concrete, and reject false equivalencies.

The signature Democratic legislative achievement in the last decade was the Affordable Care Act ("Obamacare"), which came with deeply unpopular pay-fors: "Cadillac" taxes hitting union health plans, the "net investment income" tax hitting high earners, and others.

The signature Republican legislative achievement in the last decade was the Tax Cuts and Jobs Act ("Trump tax cuts"). This was chiefly deficit-financed (no pay-fors), excepting a popular repeal of the individual mandate and an unpopular-but-deferred middle-class tax increase 10 year later.

Democrats paid for their stuff, Republicans didn't, and Republicans won the messaging battle. "Keep the budget balanced" is terrible advice from a political perspective. It only gives space for the next administration to spend more money.
I used to work at an architecture firm that specialized in design and manufacturing. One of our more popular products was facades made from aluminum panels with "graphic perforation", a pattern of holes made to form an image at a distance. As you can imagine, for larger projects the number of unique pieces to be cut was into the hundreds. This represented a lot of time for our CAM programmers because the (quite mature and industry standard) CAM software we used was incapable of determining the proper cut orientation without manual input. This meant clicking holes a bunch of times per panel to switch which side of the curve was cut. No Bueno.

One of our primary CAD suites was Rhino which is very nice and has a great python API. So I wrote a full-fledged 2.5D CAM processor for that. This allowed us to batch process hundreds of these parts with a single click.
Republicans only care when a Democrat is in the White House. Democrats don't seem to care, ever.
Canada is waking up to China's quest for a 'new world order'
I am a native French speaker.

French is hard even for people who speak it on a daily basis.

I am neither a linguist nor an historian (so google it and find reliable sources for more information) but AFAIK, it was designed and reformed to be an "elitist" language (for political reasons), there are gazillions of special cases that do not make any sense (both in the written and spoken language) and there are heated debates about what should be kept or removed (in the perspective of teaching it for instance).
Sort of. The way you do it is to scope operations to tf.device(None), which selects the TPU's CPU. (I think it's equivalent to using the first device in sess.list_devices(), which is the CPU.)

You can scope operations in tf.data, sure, but you can also execute arbitrary training operations. I use this technique to train GPT-2 117M with a 25k context window, which requires about 300GB memory. Only a TPU's CPU has so much.

That's why it was surprising to hear Jax can't do that. It's one of the best features of a TPU.
Nobody should base their opinion of a country on the way service workers in that country's capital city treated them.

See Le Louvre, La Tour, Musee D'Orsay, Sainte Chapple, perhaps pop in to
l'Orangerie, then get on a train and visit the real France and find real French people.

Actually Père Lachaise is pretty cool too: Fourier and Jim Morrison are buried there.
> I also saw that it cost them around $200,000, which is very expensive. I’m aiming to stay below 5% of that overall amount.

He may have stayed below $10K in hardware, but there is no way that includes the electricity needed to run the machines 24/7 for half a year.
Well specifically it is sharing the public keys that you have in your SSH folder. It's like trying all your keys in a a keyhole since you don't know which one gets you in. This is really no fault of SSH - the fault lies completely with Github for sharing all their users' public SSH keys.
American Slavery as it is (1839)
What if you're supposed to ssh to two different places. but you don't want them to know you're the same person?
The grant process is terrible. I’m a second year professor in the US and wish I had known how terrible this process is years ago.

Even though my first federal grant (NSF) was funded, the process was one of the most draining things I have ever done.

I loved the puzzle of breaking down a new, fun idea into its fundamental parts and I enjoy writing. But I do not enjoy the salesmanship, the 7% funding rate, the 8 months I waited to find out my second proposal was rejected, or the laborious amounts of supplemental documents.
Baloney. Democrats bent over backwards to get a good CBO score for the Affordable Care Act. They desperately wanted it to be revenue neutral, and they undershot; it increased revenue due to lower-than-anticipated uptake in the Obamacare marketplaces.
My source is my father, who flew 23 different types of aircraft, single engine, multi engine, piston and jet. He spent some years as a flight instructor, and a crash investigator for the Air Force.

He said not properly warming up the piston engine meant that there was cold oil still in the reservoir, and sucking that into the engine would cause it to stall, usually right after takeoff, causing many accidents.

I've read about it in the paper myself a couple times, the report goes like the engine stalled right after takeoff and the airplane crashed. Didn't warm the engine up.

I can see this in my car. If the engine isn't warmed up, pulling into traffic often meant it would stall right in the middle of the lane I'm trying to cross, leaving me vulnerable to being rammed.

Now, if you're in an airplane overloaded with gas and bombs (and combat missions are always overloading the airplanes), you're going to make darn sure the engines are all at normal operating temperature before you start the roll. And you're going to fly right through the smoke of the previous guy whose engine hiccuped after he was committed.

I've flown in a Cessna a few times, and the pilot will always trundle out to the runway, set the brakes, and run it at full power making sure it's warmed up and both magnetos are working. I'd get out if he didn't :-)
I've started playing with some things with node-red + open hab to control my lights, but more in line with what you're talking about I've also played with Huginn for automating some small daily actions and webscraping. So far it's been going well but I'm not doing anything terribly difficult yet.
Looks like a cool service but sounds somewhat off-putting in that they will have all those data about my behavior. Maybe it would be cool to be able to self-host.
Alien Blue works better than Apollo in reader mode in several very significant ways:

- In AB dark mode there is no white flash! The screen stays black while the page is loading. In Apollo the screen goes white until the page is finished loading.

- In AB the reader mode forces all sites into reader / minimal HTML mode whether or not the website wants to allow reader mode

- In AB the reader mode seems to get more images and other content which is left out of reader mode by websites. It also seems to be less confused by some websites that display something other than the main content when reader mode is selected.
> PIA's business is built on trust and rasengan decided to hire Mark Karpeles as their CTO. I honestly can't think of anyone who I would trust less as a CTO than Mark Karpeles. I'm not being sarcastic, I genuinely can't think of someone as bad as Mark for a role like CTO. There's not a chance in hell that I'm going to give PIA another cent based on that alone, even ignoring the most recent Kape debacle.

That thread fails to explain why PIA hired the former CEO of Bitcoin exchange Mt. Gox as their CTO.

By comparison that's like hiring Rudy Giuliani as your Chief Legal Counsel, Elizebeth Holmes as your CEO, Madoff as your CFO, or Rush Limbaugh as your Chief Diversity Officer.
> other countries have one or two of something the United States has at least ten. This goes for planes, tanks, cruisers, helicopters, missiles, pretty much whatever

This is correct except for tanks [0], where Russia has about 3 times more than US.
This is not unexpected, given that no-one is going to invade US by land, and that Russia has been repeatedly invaded by land.

[0] https://www.nationmaster.com/country-info/stats/Military/Arm...?
Have the results been verified yet?
> The corporate world doesn't work like this. Everybody is paid a salary exchange for 45 hours of your life each week and your assignments are generally governed by an agile sprint cycle, so there is absolutely no motivation to be productive.

I’ve consulted in a lot of large enterprises, and this is really untrue. If you’re happy just stagnating and some level that you’ve decided is good enough, you can get away with it for a while. But such people absolutely don’t develop their careers. They’ll probably get small raises every year, and perhaps the occasional promotion based on years served. But that’s really as good as it gets for them. You also can’t do it forever. Most of the time when I go into a new organisation, I find groups of these people. They’re usually very friendly to work with, but they’ll have skills that are 10-20 years out of date, and mediocre at that. Eventually even the slow moving large organisations start to outpace their own personal development, and they get left looking for jobs that don’t really exist anymore. I worked with a guy a few years ago, and all he’d ever really done was Swing projects. He added me on LinkedIn a few months ago, he’s been working at a cinema for the past two years, trying to find a new Swing project to work on.
Ask HN: Is Quara Declining?
I remember a few years ago when I was literally a Quora addict spending at least 1-2 hours a day on the app. Now, it's been months since the last time I even opened the app. I blame it on the gigantic number of fake accounts posting SEO/thin content answers... Are you feeling the same?
Factoring in plea bargaining the US and Japan have roughly the same conviction rate.

Factoring in people held in US because they can't make bail, also diminished some of the "held without trial" margin. But this is fundamentally a bigger problem in Japan, as it has now embarrassed the country on the world stage due to the Ghosn case.

A state that holds people just becauss it doesn't like them, rather than due to evidence of breaking its laws, relegates them to the same league as the North Koreas of the world. Profoundly embarrassing for a first world country and a major step backwards in reputation.
I was under the impression that metrics like this are too simple to tell the full story. Burning a gallon of ICE fuel at sea level has a different environmental impact than burning a gallon of jet fuel thousands of meters in the air.

I think it might be better to compare in terms of "passenger mile per unit of greenhouse effect" but then how do you even get to agreement on how to measure the greenhouse effect...
Until Javascript became fully-capable, Java and Flash applets ruled the WWW.
Take a look at Huginn [0], it's very powerful with the existing agents for taking input, parsing, and outputting data to different locations.

I use it mainly for when I can't do things in IFTTT or have sensitive things I'd prefer to keep in a self-hosted system.

0. https://github.com/huginn/huginn
Vote with your wallet and buy pixels or Apple phones.
Hi!
I made this in a few hours as a toy project, using a very small dataset, I'm aware that this is a very limited example, it's over fitting, buggy and not really impressive, I wanted to check that people were interested first.

I'll soon release a way better demo made using data collected on 150,000 startups, I'm currently training it on 4xTesla V100 with the 1558M GPT-2 model, it should be ready in a day or two :)
I have done multiple hiring and interviews in tech industry and find it quite baffling what has s/w engineering interviewing process degenerated into. I hear many sad interviewing stories these days. Some my conclusions: Interviewing is an art and it takes a very good interviewer to identify good candidates, this algo/prog interview in 45 mins can not do justice. Problem solving is what is really should be checked and extremely difficult to check, dont ignore the attitude of the candidate. Einstein with a bad attitude should be avoided.
Love your cynicism bro but you gotta realize that's only the beginning of the realization you still haven't decided which pill you're going to choose
The article seems to be a bit light on details for an "overview" of GNNs.

It's an area I've recently been researching and they do seem to be gaining
a significant amount of traction. If anyone is interested in additional reading
material, I can suggest the very recent GNNs: Models and Applications (slide deck available on the website) [0].

There is also a fairly comprehensive GitHub repo on [1], though I
personally haven't given it a detailed look yet.

[0] http://cse.msu.edu/~mayao4/tutorials/aaai2020/

[1] https://github.com/benedekrozemberczki/awesome-graph-classif...
IIRC there also used to be a com.apple.sidecar.display setting.

I expect the reason certain Mac and iPad models are blacklisted from Sidecar is that it was sluggish or glitchy running on them. Even on supported hardware, Sidecar is sluggish over Wi-Fi (though it works great over a wired USB-Lightning connection.)
Overall, I've seen similar movement away from Tensorflow in my social circle of research scientists/engineers.

One area I'd push back on is that "this is not the fault of Tensorflow." An area of weakness for Tensorflow is that it solves a number of DL problems with a specialized API call. That's not an asset, that's a liability.

LSTMs were always a pain point. So much so that for Tensorflow projects, I gave up and insisted on traditional feedforward approaches like CNNs + MLPs or ResNets when LSTMs would be viable. Mostly identical performance with decent speed boosts from avoiding recurrence, and the simpler code reduced maintenance by non-ML engineers.

As soon as you branch out of standard DL bread and butter models, you spend frustratingly long periods of time tracking down obscure solutions in a part of the API space that had its own hard-to-follow logic.

Every time I'd point out that it's hard to do something either in forums or HN directly, I'd get a response that its easy to do with [insert-random-api] function call.

In the end, it's my opinion that Tensorflow will lose out to JAX and Pytorch, by no fault other than its own complicated construction.
I disagree. It's more due to the rigid drumming in of "these are the rules you must follow" from a young age, backed up by harsh social ostracism of those who don't follow these social rules.

Children in Japan are taught at a young age to turn in even small found items, like a single small denomination coin, to the police station.

This bakes into them the sense that "that's what you do with found items" and coupled with the fact the police will return it to them if no one collects it, bakes in a sense of trust of the police at an early age.
In other places without committees most of the same rules still apply. Instead of the committee, the employee needs to justify the promo to the manager+skip(s) and external assessors from other teams often need to also approve promos.

I find a lot of the most impactful work isn't easily measured by metrics or monetary impact. These metrics are always deceptive and if you are doing honest maintenance you may encounter many additional issues that make you look like a troublemaker. The people who get promoted often cause disasters and then fix the disaster while recording metrics. Putting in hard work to make stuff run as expected looks like doing nothing to people unfamiliar with the low level technical details.
If you don't know the identity of the authenticating party, how does the authenticating party log in to their account?
Oh cool, I didn't know if others were doing this. I've recently just started going down this path with some zero effort IFTTT triggers but I'm not happy with how infrequent they seem to trigger. My next step is to build my own set of listeners/scrapers.
"advanced prosthetics to translate the muscle signal into voltage".
This is not new. Myoelectric controlled arm protheses were developed and in production already in the 1960ies.
https://eduard.horvath-vienna.at/ot2003.140-141.pdf
As I recall, way back in the years of IBM's language PL/I, there was some high quality documentation of the numerical methods of the code for the usual special functions. Since the functions haven't changed and numerical methods have been studied for literally centuries, this old IBM documentation might still be relevant. When I saw that documentation, I guessed that it would be good to have way over the horizon. Might be able to find that documentation somewhere and see if it would still be helpful.
Assuming 3kw and a PUE of 1.5 for cooling comes out to approx 20,000 kwh of power. Assuming a high-ish rate of $.13/kwh it comes out to around 2.5k for 6m. Not too bad.
…but they're public keys.
QuickShortcutMaker
I guess you could call this corona-y capitalism
I am building something that fits this need (https://www.aspen.cloud/owners). It lets you pull together all of your personal data into on database and build apps on top of it! Let me know if you want to contribute, have feedback, or want early access!
Do neural painter next!

https://github.com/reiinakano/neural-painters-pytorch
Debug AWS Chalice applications using PyCharm
Yeah, I have panicked for a moment that day.
It's worth pointing out that some programming languages do indeed dictate precision for more advanced operations. E.g. Java requires Math.sin to be precise to 1up:

https://docs.oracle.com/javase/8/docs/api/java/lang/Math.htm...
"the fact that the prosthesis has the same dimensions as a natural limb, and doesn't require any bulky power attachment."

This is standard in arm prothesis at least since the 1960ies.
> A home-cooked meal is not one conventionally thought of as being from items hyperlocally sourced.

Exactly. To allow the category of "home-cooked meal" to exist at all, beyond professionals and a few dedicated hobbyists, we have to loosen the criteria. Similarly, "home-cooked apps" don't exist in the strict sense, but do exist with looser criteria, where we allow people to work with standardized, mass-market tools (e.g. drag-and-drop website and form builders). Expecting lots of people to start from raw source code is like expecting home barbecue to start from the pig.