skysight-inc/HackerNews huggingface dataset:
In Japan, it’s common to see politicians, business people, or celebrities lose their entire livelihood and reputation over crimes such as mistakes in accounting for business lunches amounting to a few hundred dollars, or possession of a few grams of pot. Likewise, even a hint of political favors or major financial shenanigans carry huge impact. There will be deep bowing, sincere tears, and deep, deep, lasting shaming and exile from professional circles. It’s what a culture that keeps shame alive looks like, and IMO it’s a lot healthier than places that let the rich walk free after being caught red-handed, while the poor get locked up for life or murdered by the state over trivial, non-violent crimes.
I look at my family and I can't imagine the date of that family.

12 kids, mom and dad and 9 kids dead...the others scattered :(
Sorry but I'm a bit curious. Who/what do you communicate to with that large antenna? Is there an ISP that supports longrange connections like that? Is it satellite based?
There's also "Sweet 16", Woz's "16-bit virtual machine" that's in the Apple ][ Integer basic ROMs. Another piece of pure genius code.

https://en.wikipedia.org/wiki/SWEET16
I'm probably missing something, but other than retrospectively observing that people are paying a price, how does market theory comes up with the price without the 'how?'
An answer, then, is to plant some longer-term grass (or something that can hold the topsoil), and give the panels a short spray of water every morning to remove dust.

Increases efficiency, prevents undesired pollinators taking control of neighboring paddocks, uses an order of magnitude less water than actual crop irrigation.
When I think of some people I worked with who wouldn't grok this, other than the usual types who tend to overestimate maintenance costs carte blanche, it's usually because they confuse API with implementation. This seems to be an increasing problem - people increasingly don't seem to appreciate that you can do massive changes underneath and keep a stable API.

For example let's say a component needs a rewrite. They would scrap the function signatures for the old one, even if the problem being solved and expectations from a callee perspective haven't changed and they would apply equally well to the new thing.

And they would pretty much never use an "interface" in languages that have them, or a wrapper, everything is a direct call into their explicit dependency.

Can be extended to things like web services. Every rewrite renames identical parameters for no particular reason.
Futures have well-defined semantics as logic variables. The only question of actual interest that you raise is the lifetime. This is dictated either by the system or the dependent objects, although obviously "unbounded lifetime" handles all possible cases. So lifetime is not "undefined" but "contextual".
Yes, and the maximum precipitation increase will actually decrease the amount of water that land will hold in topsoil, as has been Southern California's condition for some time.
Also, when some of the "growth" comes from learning the new, but not actually better way of doing something, it's understandable that older workers might be less enthused than people who haven't been around the block a few times already.
Venus had oceans at the time. They boiled off. The Permian Earth had oceans too, just ice capped ones. Microbial life and the simplest algae-like life survived, but that’s it.

I just don’t think it’s all that correct or useful to say the equivalent of “life will adapt” when life has never adapted to changes this fast, and we are hurtling towards changes so extreme as to wipe out complex life entirely.
I am reminded of Lily Tomlin who said:

"I always wanted to be somebody, but now I realize I should have been more specific."
Vive Focus Plus can now play natively PC VR games (in streaming)
If you own an iPhone/iPad, much has changed. These devices include the best features for accessibility.
You don't need CORDIC to draw a circle. BTW, I implemented a CORDIC routine in 6502. It would really benefit from a barrel shifter which the 6502 does not have.
https://atariage.com/forums/blogs/entry/3385-atan2-in-6502/

In gist form
https://gist.github.com/djmips/29a8fa9099bf92b31a7259da65915...
Also, people currently live near the Salton Sea. As it continues to dry out, if nothing is done, it will make the air in parts of LA unbreathable.

Paying locals to stabilize it now (so they can afford to leave!) seems preferable to the status quo.
The gravity may not be the same as raising a human being, but caring for dogs is absolutely a real responsibility.
Hahahahah; and I am the king of Sweden !
Here's my self-compiling toy compiler for WASM:

https://pierrerossouw.github.io/wats/
"Turner, D. C. 2000. The domestic cat: the biology of its behaviour. Second edition. Cambridge University Press, Cambridge, United Kingdom."

:)
Hopefully.

The world needs less people, not more.

And you should never leave a dog alone for that long.
The guy in my story had no voluntary movements so Morse wouldn't have helped. But memorizing:

.-.. . -

-- .

-.. .. .

Could be useful.

*Cannot format it properly sorry.
Actually, Domino's has spent a massive amount on tech over the last 15 years. They pioneered online ordering at scale, real-time order tracking and the system that runs the store allows corporate to get metrics on everything from individual pizza production times to length of trip and travel time. They have a huge tech dept.

Source - former franchisee
Amazon is going to kill your Dash button
Location: San Diego

Remote: Yes

Willing to relocate: No

Technologies: See below

Resume: Available upon request

Email: david.starren@gmail.com

About me: I've worked for a series of startups but would love to find something a bit more stable. Thanks to the nature of startups, I have experience with all sorts of technologies and techniques, including, but not limited to:

Familiarity with: JavaScript, Ruby, Rust, C#, and Go.
Some familiarity with C, C++, Dart, R, Erlang, and Haskell

Setting up and/or using various databases, including: Postgres, SQLite, MongoDB, Redis, CouchDB, Cassandra, and even flat files

Managing servers, both bare-metal and cloud, with SSH, Apple Remote Desktop, Terraform, and/or Ansible

Extensive work with REST APIs, JSON, and CSV files

Building and running internal line of business apps with both automatic and manual reporting

Some other projects involved things such as real-time distributed web scraping, low-level networking, and even blockchain analysis

I primarily work with MacOS (desktop), and Linux (server), although I know a little bit about Windows.

I also have a little experience with hardware/IOT, including Raspberry PI, serial communication, and talking to 4G modems.

I've tried to keep it concise, so feel free to ask for details :)
Location: Toronto
Remote: Not mandatory

Willing to relocate: Yes

Technologies: JavaScript (VueJS), AWS(SQS, EC2, Glue, RDS, Cloud Watch, Lambda, S3), PHP, PostgreSQL,

Résumé/CV: Upon request

Email: cedricleong@gmail.com

Can work in both frontend and backend
It's not the same at all, and it gets much more verbose with minor complexity and lacks functionality.

PG is working on adding SQL/JSON support for JSON Path queries for the next version. It'll be a major improvement but still not as nice as what PartiQL has here.
The cost of nuclear is two or three times higher than coal for the same output, with capital costs amortised over the 50 year life of the plant.

The cadmium you worked with was either a result of handling dopants in a wafer manufacturing plant, or dust from finishing cells in a panel assembly plant. There is insignificant exposure between assembly and disposal, and even then disposal can include reclamation of materials so that we don’t have panels filling garbage dumps for the rest of eternity.

Do you worry this much about the chemicals used to manufacture your plates or cutlery?

As for transmission losses, the same applies for every energy source that isn’t collocates with point of consumption.

Solar is as comparatively clean cheap and simple as it has been claimed to be because the options are so incredibly dirty and destructive.
Wait until he finds out that Google researchers publish scientific papers about the latest machine learning advances for the entire world to read. And so do universities! Heck, teenagers are learning about this stuff! Why allow that?

The logical conclusion of "we shouldn't let China have machine learning" is that it should be locked down like nuclear weapons research. But it would be even more difficult to control, because you only need graphics cards, not uranium.
As long as water and sunlight are available, we're good.
When a Mob Attacked Protesters in Hong Kong, the Police Walked Away
Just from a casual look, the cancer diagnosis modeling is flawed.

> the doctor would need to consider the overall incidence rate of cancer among similar women with similar symptoms, not including the result of the mammogram

That's a bad assumption. Mammogram is a radiology tool to investigate tissue. It's not a randomizing element as it's fundamental to arriving at the thesis, which is then correlated from MULTIPLE vectors.

> a similar patient finds a lump it turns out to be benign

A manual inspection is not the same. In good faith, let's assume they are the same for no reason but to argue about how not to do medicine as some precept for "Base rates are effectively random".

Turns out, Base rates are not random guesses.

What's interesting about Bayesian Theory is we use it all the time and then observe and collect statistical data about the outcomes, after making assumptions (like a specific Base rate) and use back propagation to correct until models fit measurable events. This is why, tests often have caveats about efficacy. Base rate is sometimes, reasonably, unknown because there is no additional correlation. This doesn't indict Base rates wherein the vast majority of cases, there are multiple vectors (or new vectors are generated) that show this process is reliable (beyond a few dice rolls). There have also been cases where there is no corroboration from new measures and the deduction is the that original measure and Base rate were random.

It's a lot of hand waving from a classic troll. Why? Probably for students who want to feel like they have "discovered" how the establishment is ignorant.
I would imagine that, but I see many US based companies that do not hire in Latin America. And Latin America has lots of good developers, so it got me thinking.
I was expecting a list of entrepreneurs rather than authors, still a good list.

Also I didn't realize it was going to be "those that started after 35 & then achieved success" which is a great idea.
While I generally thing that looking for practical applications of research is nonsense, this one seems to be in an obviously useful area.

It's all about different ways of measuring how good a function is at scrambling the input data. I'm guessing if you want to break (or make) a hash or cryptosystem you will use these measures over various aspects of it to look for weaknesses or some such.

This particular proof seems to be saying that the measure called sensitivity will give you similar answer to a bunch of other measures.

On the one hand, that's disappointing (a measure that gave totally different results might enlighten whole new ways of attacking/strengthening you crypto). On the other hand it is encouraging because if a whole bunch of very different measures agree, then that's a sign that they are on to something real.
Modern day companies don't have the attention span to sell products like the Dash button. They want to sell you something you'll use four hours a day every day for a year and then throw away, like a phone, a video game, a social media site. They won't support a product you'll use once a month for ten years like a Dash button. Do not put your trust in anything that depends on an external service lasting for the long haul.
Irish teenager may have a solution for a plastic-free ocean
Being exactly of those people (experienced but would have failed algo screen and had to brush up), I can confirm it would have false negatived me despite years of competent productivity... and yet I also feel I have filled in some significant gaps that I was lucky to avoid previously.

I think if you have a really strong “portfolio” of individual work that can be validated as being yours, like side projects, that can be a valid pathway into at least non senior roles. Maybe you’re weak on algos and other team members can help out at key points.

But I don’t know a better objective and direct measure of coding aptitude inside of 60 minutes. My issue is not with it in principle, at least for senior roles. It’s taking it to an extreme and misinterpreting the results. It gives this false sense of certainty about aptitude.
Worst case scenario? It's probably closer to this: buy way more house than you need and can sensibly afford. Buy heavily leveraged at market peak. Housing market tumbles. Have a bit of bad luck and lose your job and your income. Be in a position where you can't keep up with mortgage repayments and be forced to sell when the market price for the house is less than the amount of debt you still owe the bank...

Or even grimmer: as above, but start renovations before the market crashes and losing your job. Discover there are major structural problems so it costs 3x more than expected to put the house back into a sellable state. Then, before construction is finished, be forced to sell an unfinished house with negative equity....
Show HN: New Encryption Cipher Algorithm as Swift5 Framework
I think this wasn't really a bad deal for the drivers, but it was essentially a lie to the consumers: they think tipping will make a difference for the driver, but instead it only makes a difference to DoorDash. What's really needed is a minimum wage that applies to everyone, regardless of employee status.
Hah! Both words have (slightly) different meanings, but yeah, I ironically didn't follow my own advice :-)
While working on another algorithm and reading a little to much about #data #security and #breaches, I saw an interesting relationship between what I was working on and encryption. So I decided to see where this rabbit hole would lead me. This resulted in the creation of 2 new algorithms, the first was a new encryption cipher algorithm that utilizes a 8192bit Key, 4096bit Model, and has no back doors, this however then lead to the second algorithm as a replacement of PKCS for passcode to key creation.
More people moving into and living in large cities doesn't necessarily mean the lesser populated land grows, or the built environment there is shrinking. As it happens, whereever i lived formerly and bicycled far as a child/young adult and knew the territory, when compared to now on something like google/bing/whatevermaps the built environment there has massively grown outwards along the few streets connecting the smaller towns and villages. Unfortunately the applications which incorporate a time slider where you can directly compare this lack coverage, both in time and places. Call it a "dark age" ;-)

In german this is called "Zersiedelung" which means something like urban sprawl, but it's not something only related to cities, but the whole landscape.
I didn't do any of this intentionally. I studied psychology in undergrad and graduated the year of the great financial crisis. Also had a bad GPA, 3.0. I had lots of ideas but there was always a big skills gap between what I wanted to do and what I knew how to do (and what my degree said I could do). I am obsessed with fixing problems in medical decision making (back then it was specific to diagnosis, now I'm more general).

I fumbled for a few years before worming my way into a middle-ranked graduate department of Neuroscience. Learned how to work an MRI and how to hack scripts in Matlab. Realized I could think in maths/stats even though none of my transcripts suggested I could (my only undergrad math course was calculus, I took it twice, and the second time I got a 67). I went to a conference in 2012 and saw a Harvard Business Review article on big data in the airport on my way home. I thought to myself "no one is going to care about my MRI research but I bet I can become a data scientist without a PhD".

So I found a lab-tech job post-MSc for a bit and then I became a "research methods specialist" and worked in a research hospital for 4 years. I learned a lot about high-performance computing, the kinds of models used for pre-clinical trials, and methods development for clinical research. I ended up on a lot of papers. My CV now rivals many PhD grads I know.

Then through some networking and persistence, I find myself at the tail end of a professional MSc in computer science at a top-ranked machine learning institute. I have successfully survived both core CS coursework and graduate courses in reinforcement learning and deep learning. I'm currently working on multiple deep learning research projects and getting to know some really interesting people doing biomedical startups.

10 years ago I was living in my dad's basement, a psych grad who couldn't math and showed pretty much zero aptitude for these kinds of endeavors. I never would have believed that I would be in the kind of program I am in now. I'm only 32, and my story isn't done, but I'm sure if I make it onto any list, it will be one for people over the age of 35.
It's just a language, not a query engine. You can add PartiQL to Drill and Presto so that they can support a richer querying syntax over the unstructured/schemaless data sources they handle.
I found it fascinating to compare the energy found in different substances. [1]

For instance, gasoline is 34.2 MJ/L

A lithium-ion battery is 2.6 MJ/L

Meanwhile, Uranium is 1,539,842,000 MJ/L

[1] https://en.wikipedia.org/wiki/Energy_density#Table_of_energy...
we never implemented the poincare paper since by then Facebook had published it's own code, but for the lorentz paper there were a few which were wrong. I'll update the repo to point to those in a bit
Hang on... Three points

1) Obviously accessible is better. Everyone agrees. When all cost is opportunity cost, do things that don't scale. Target your market aggressively. Cut your market to reduce your opportunity costs of getting to a revenue stream, then expand your market.

2) the more burdens you place in the market, the more you favor established players and make it more difficult and costly for startups to happen and succeed.

3) since when did not spending the time to build something for blind people equal walking over them? They're a valuable part of the market, to be sure, but come on. I can't sell a product to seeing people until i build in functionality for blind people? This is why the federal register is so large. Pointless crusades from short sighted busybodies.
What are you working on? :)
There are also cases where an advanced directive isn't possible like with children. An ambulance driver friend of mine had a patient a few weeks ago, a newborn that had been abandoned, was deaf, blind, thought to be mentally retarded (not sure why) and suffering from heart failure. Apparently there was quite a bit of ethical debate at the hospital that night.

A DNR might be good for people in specific circumstances but an advanced directive should not be required to be allowed to die.
What I Learned Rescuing Our Startup from Death
Why would you not go on to state what the genre was after establishing it as the focal point of your comment?
I'm sure parents who work two jobs to support their children will be relieved to hear it.
Personalizing ASR for Dysarthric and Accented Speech with Limited Data
I have a OnePlus 5T, which I got when it was brand new, so that's coming on two years. It replaced my previous phone because it was unusable (apparently a deliberate tactic to stop the battery suddenly running out of juice). I would like one of the Linux phones when they come out later this year, but I guess the this will remain in use after that. I would love a phone with a better, intelligent camera app, but I don't want to replace the phone "just because".

My previous phone was an iPhone 6. I'm pretty sure it was around March when I got it, and it was the topend phone at the time, so I guess it was March 2015. So that was perhaps 2.5 years; this jives with my recollection of it being out of contract, but not hugely so. But my wife kept using it till May this year because I accidentally left it near her when her phone broke, and she thought it was fine even though to me it was unusable. Perhaps you can call that about 4 years of use.

Before that, I had a Nexus 5. I don't think it lasted particularly wrong. I got it on my birthday, which makes it July 2014. So I presumably replaced it within a year. I think I was unhappy withe the phone for its whole life; in particular, I had been planning to try an iPhone so I don't know why I bought a Nexus. Its battery life was awful. Once the screen broke, and its replacement cost was a massive proportion of its purchase price, I decided to try an iPhone. But my wife used it after hers got stolen till it completely broke apart sometime last year (she used both the iPhone and the Nexus for a time).

Before that, I had a G1. It was probably around 2009 or 2010 that I got it, so maybe it was four or five years. At the time, my coworkers laughed at me for having such an old phone, but I didn't think it was weird to keep a phone so long.

So I guess the phones I buy get used for about four years, no matter who owns (I mean, wrote the OS) them. But I get itchy feet every other year.
Chrome, with uBLock Origin and privacy badger.
This area didn’t start out as desert. It is some of the most fertile (remaining) land on earth. (Like the Sahara used to be.)

It also currently, but unsustainably, produces a large fraction of all food on earth.

Here’s an article from 2012 with some anecdotes if numbers aren’t your thing: https://www.nytimes.com/2012/10/14/magazine/californias-cent...

Here is a table of crops: https://republicans-naturalresources.house.gov/newsroom/docu...

(it doesn’t seem to include exports, so the numbers are low-balled)

It is clearly being over-farmed, but the solution to that is crop rotation and letting the fields periodically go fallow.

Blanketing it with solar panels is likely irreversible.
Google to stop listening in temporarily after data leak
`Psychology is not a science but rather a belief system.`

(paraphrased)- Paul Lutus

https://arachnoid.com/psychology_and_neuroscience/
I think this is good for Square. Maybe not a good reflection on their previous, scattered product strategy but they appear to be getting more focus on fairly horizontal services for SMBs. Caviar was always a bit nichey for them.

I’m trying to figure out if their Developer API is a chasing-Stripe distraction for them or a good defensive move.
You're an engineer, aren't you? Just do the damn "boring" math.
Would common birds singing louder and longer, an incorporating technical sounds count as affecting wild life? I'm sometimes wondering where the hell this or that sound came from, when walking along lesser traveled paths and know there can't be anything which is making that noise here. After some waiting and searching i can pinpoint some bird, mimicking car/fire alarms, all sorts of beeping noises, and sometimes even sci-fi
sound effects. I wonder where they got that from? Television, Ringtones, Computer/Console-Gamers?
Anyways, the farther from the cities i go/ride, the less i hear that. Nonetheless, even there it happens.