skysight-inc/HackerNews huggingface dataset:
In Australia it never went away. Copha is a natural part of truly awful family recipies like rice-crispie choc cakes, or christmas treats made with dried fruit and suger.

We also have a huge immigrant diaspora (40% of the population either are from overseas or within 1 or 2 generations) and a huge amount of traditional cookery is preserved in aspic here, whilst the homeland has gone full burger, you can still get echt-lard recipe cooking from nonna or her cousins.

The CSIRO diet and nutritionists tried very hard to make lard punishable. They basically failed. Now keto is fashionable its going to be even harder (like my arteries)
A second good article in that direction - worrying how Mac-Marzipan fits into MacOS' automation and scripting strength - is here:

https://leancrew.com/all-this/2019/04/whats-next/

… but its title is of course rather useless on HN.
I wonder how many people the established auto industry pays to write negative Tesla opinions. I can't help but think my kids will look on this like I do Tuckers' efforts.
Pay > Ethics

They will have to live with the consequenses when they are older. I hope it weights heavily on those that compromised their beliefs for a 'cool job'.
> The only reason the 24/7 crunch time companies don't immediately go broke from sheer inefficiency is because they don't pay their staff overtime.

I think you also have to figure in the absurdly high value of the sort of work we're talking about. A company can launch a website after investing $2 million in its creation and have it pay for itself in a few days. That sort of return on investment is big enough to cover a multitude of grave sins of inefficiency. That's why companies can persist with open floor plan offices which over 1000 studies have shown destroy productivity, having high attrition on purpose so they can staff primarily with entry level candidates, and renting expensive office space that actually drains value rather than contributing any.
Call me when any of this stuff works in snow.
Damn these businesses for trying to profit from others' open source, and then condemning the other businesses that do the same to them.

The only difference -- as you pointed out -- is size.

"Might makes right" is just as untrue as its opposite.
Wouldn't someone in that position just start a slow and consistent divestment over a long period of time? Make it business as usual.
"A continuous measurement device connected to a computer/s will have a vast array of available diagnostics, 'most probably leading to less "dangerous undetected failures" than a simple switch, or combination of."

Isn't this exactly the approach that failed in the MCAS system? And if you had a switchable independent system, a copilot would have righted the plane and flown on.

But really I agree with your overall comment, it's very difficult to know why a given safety design decision was made unless you are well steeped in the system - there are almost always little corner tradeoffs. That's why I added the "I suspect" to the front of my comment.
The whole point of Coinbase is to take something that only enthusiasts can use and make it accessible to the masses. That's a pretty big value add.
Computers "imagine" things all the time. The fact that we do not use the word "imagine" to describe it is immaterial. Words to not dictate the behavior.
The only thing I still couldn't live without is nested selectors. Writing maintainable CSS at scale is impossible without them. I really wonder why they haven't been made native yet.
I assume this was in Europe? I've read elsewhere about some of the protections over there and length of time it could take to lay someone off as well as even putting in your own notice (like a month in the UK?).

I really wish there was a bit of a balance here in the US but I think the at-will stuff (along with stagnant wage growth) is why companies have such a hard time keeping people. Most of my working career has been (about 15 years discounting part-time work in high school) has been one in which I've worked with other people that very clearly knew or experienced that there was no such thing as stability in the modern workplace and you can be out on the street on a whim.

At least in the Duke professor's case, there was a process and a means of appeals it seems. There has to be a more human way for us to do this that balances the needs of people (and their faults) with that of a business.
This is a fascinating view of things. It's not totally incongruous that Tether could just be worth approximately 1 USD indefinitely, "by convention" or in the same way that Bitcoin has value.
$14 billion is hardly significant. The USD index certainly wasn't good until very recently: https://fred.stlouisfed.org/graph/?g=nJWC

My bank in Australia has $500 billion AUD (~$350B USD) of cash deposits on it's liability book. That's just one bank.
> Everyone forgets that SASS is meant to be programmable CSS

That sounds like a solution looking for a problem... The vast majority of real SASS I've seen has been much like the stuff this article mentions.

> If you treat it as CSS+ then you're not really benefitting from it's true potential

People aren't looking for "potential", they're looking for a way to accomplish their design goals whilst keeping their stylesheets maintainable. The real use cases where SASS is actually worth the complexity overheads are getting fewer and fewer.
1. Tesla for the forseeable future has the best self driving AI chip in the world for gathering the data requisite to solve the self driving problem at scale.

2. Musk has investors and the price of his cash financing goes up when people short his stock and there is negative sentiment. It was a major strategic weakness when the viability of tesla depended on short-term cashflow financing and he did what he had to save the company that he poured his life savings into. Not so much now that he's built a system where every additional vehicle sold adds additional value and long-term investors can see that. Musk thinks long-term the markets think short-term but if you run out of cash, there is no more planning and he hates the markets lack of vision and people profiting from negative sentiment effectively killing optimum solutions. The market has a lot of long-term faith in Amazon and Google and Microsoft because of their dominant networks and economies of scale and profit from complex software with zero marginal cost.

3. Solving problems in sub optimal ways isn't solving them it's compromising on them. He solves them optimally with the least capital but admits his mistakes, one of which was not judging the benefit of humans and teamwork on production lines versus robotic manufacturing technology correctly. If you are generating negative externalities you aren't reducing entropy in the system and Tesla learnt this painfully and won't forget it.

4. I'm completely out of my depth on the data scientists employer preference but if I had the choice of solving problems from a constantly growing ocean or from an artificial fishpond and I had a desire to contribute majorly to solving the autonomous driving problem and I had to factor in the probability of earning enough money to buy my time freedom as quickly as possible then the data is suggesting that Tesla at this point in time is a reasonable bet.

The question is whether he can compete with Toyota on mass scale while battery tech comes down in price but he's quite lucky Toyota misbet on fuel cells and don't readily admit their mistakes, it appears he's built a 10 year lead on the autonomous driving and can compete in the high end of the electric market profitably. The first question anyone would ask a driver of an electric BMW is why they didn't choose a Tesla? That's a fairly strong position, I wouldn't be shorting that stock.

The entrenched car lobby have only have two lines of defense left. The first which was to short him so he runs out of access to cash from negative sentiment is virtually broken on Tesla's current revenue and IP acceleration. The last line will be a delaying argument over Safety but he has a much larger dataset.

Geico falls when Tesla proves safe autonomy. There is a lot at stake here and Musk has focused primarily on the physics which is the right thing to focus on for humanity.
It's amazing how good Gitlab is for a free product.

Interestingly, the fact that we need to host some of our repos internally means we have an on-site install, but because of that I much prefer to host our public / non-internal repos on gitlab.com rather than github, because I can use a single workflow / UI / system for all our projects. So steadily all my open source etc. is moving to gitlab.com because of this effect.

Thanks to the team at Gitlab who make all of this available for everyone to use!
Lots of google employees here, shame on them.
As a parent of multiple children (3+), your comment really rubs me the wrong way.

It comes off as judgemental ("you're doing it wrong", "you really need to learn to"), and you're generalizing your own children's behavior as if it applied to every child.

Every child is different, their sleep cycles, reactivity, personalities, etc.

I'm not even going to comment on the 1-2-3-timeout technique apart from saying I think it's disrespectful towards children; it is basically conditioning them to fear certain words you say and to force them to do something. Isolating them when they "misbehave".

You're free to raise your children how you want, but perhaps be mindful of how you.. "give advice"
Thanks for the answer. I mean exactly that! Thoughts on your thoughts:

> One answer could be the mostly spatially uniform initial conditions of the big bang.

That's fair, but in that case, to continue the galactic north analogy, is there a reason why the Big Bang couldn't have happened uniformly in the dimension-3 hyperplane of (time, plane of the milky way) instead of the space hyperplane?

> a spatial entropy gradient would gradually diffuse over time to become uniform again.

But wouldn't that be "diffuse over direction-of-decreasing entropy time", not "diffuse over relativistic-time-dimension time"? In that case, I don't think it would help.

Apologies if I'm missing your points or not making sense, I can't claim I understand any of this well. I just feel like I see a lot of circular arguments around this :).
A rare inversion of Betteridge's law of headlines.

Although the spirit of the law remains untouched. The reader, being prodded to anticipate one binary response, should parse the question mark as the antithesis of the author's intended manner of persuasion.
I'm further right on the political spectrum than ESR is. It's his delusions of grandeur and constant, smug championing of his own relevance that I can't stand...
"Masturbation."

Today's really a low point for my quality posting career.
So this is something you learn sooner or later. People lie. And I don't mean maliciously. I mean they lie to themselves and to other people. Some prime examples:

- How much they get paid. Honestly you need to see a W2 before you believe what anyone tells you.

- Commute times. "It's 15 minutes door to door". No, it's not. It's like 35. This isn't even a "perfect circumstances" type deal. I honestly don't know what this is but it's so common for me to hear outright falsehoods for this I just take any estimate and double it and then go from there.

- How much they work. Most people who work 70, 80 or 100 hours a week just don't. I mean they may work a lot but not that much. Kudos to this study for using a diary allocating time rather than self-reporting.

- The article mentions this one but I'd forgotten about it: how much people go to the gym and how long they spend there.

There's a weirdly large amount of self-delusion and presenting a particular image that honestly I could never be bothered with (which isn't to say I don't have my own foibles of course). Sometimes I wonder what I missed out on here in terms of social norms. But it just seems so exhausting and pointless.
That CodeNet would be the SkyNet, essentially. What's shown here looks impressive, but it's the same good old text generator that can produce something that looks very similar to the dataset used to train it. It can't go beyond the dataset and generate something new. From the mathematical point of view, that generator interpolates samples from the dataset and generates a new sample.

To give an idea how big is the gap between MuseNet and CodeNet, we can consider a simple problem of reversing a sequence: [1,2,3,4,5] should become [5,4,3,2,1] and so on. How many samples do you need to look at to understand how to reverse an arbitrary sequence of numbers? Do you need to retrain your brain to reverse a sequence of pictures? No, because instead of memorizing the given samples, you looked at a few and built a mental model of "reversing a sequence of things". Now, the state of the art ML models can reverse sequences as long as they are using the same numbers as in the dataset, i.e. we can train them to reverse any sequence of 1..5 or 1..50 numbers, but once we add 6 to the input, the model instantly fails, no matter how complex and fancy it is. I don't even dare to add a letter to the input. Reason? 6 isn't in the samples it's learnt to interpolate. And CodeNet is supposed to generate a C++ program that would reverse any sequence, btw.

At the moment, ML is kinda stuck at this pictures interpolation stage. For AI, we don't need to interpolate samples, but need to build a "mental model" of what these samples are and as far as I know, we have no clue how to even approach this problem.
Yes everyone knows this. However, the difference is regulation, collateral, and FDIC insurance. There's been a huge number of instances of exchanges or other parties screwing over Bitcoin users, but there has not been a single loss of bank deposits since the FDIC has existed.

No one is actually checking that Tether backs their currency 100%, you know.
CVE-2019-0726: RCE vuln in Windows DHCP client: incl root cause and repro steps
>>> There is a large number of fancy bayesian hyper-parameter optimization toolboxes around and a few of my friends have also reported success with them, but my personal experience is that the state of the art approach to exploring a nice and wide space of models and hyperparameters is to use an intern :). Just kidding.

LOL. Human assisted training at scale is perfectly allowable for mission critical success. Especially if you enjoy an unlimited research budget!

You can follow these instructions to the letter. And the same problems around generalization will arise. It's foundational.

For 30fps camera images, handling new data in real time works fine for 99% of scenarios. But seeking usable convergence rates on petascale sized data problems such as NVidia's recent work on Deep Learning for fusion reaction container design requires a breakthrough. Not just in software. But computation architectures as well.

Deep Reinforcement Learning and the Deadly Triad

https://arxiv.org/pdf/1812.02648.pdf

Identifying and Understanding Deep Learning Phenomena

http://deep-phenomena.org/
Why not just store the data privately in a traditional database? A blockchain needs to be public to offer significant benefits compared to databases.
Theseus' ship is not a problem for materialistic explanations of anything; it's a problem for anybody who thinks the nature of a thing is governed by the words used to describe it.

The fact that you would continue to call a ship the same after exchanging all its parts is not an ontological problem, it is a problem arising from the imprecise use of language or intention to use an approximate/aggregate notion of identity. (I would recommend studying topology for a more modern understanding of this.)
The wallets have been untouched for a decade. The first bitcoin to sell from it wouldn't actually crash the market, but the emotional effect of a small chunk of a very large chunk suddenly moving would be fairly big.
P. 42 for the chart.

(But of course.)
permitting one's interest in the post and/or topic to become the sole determining factor for participation.

An awful lot of people here are more interested in the comments than the articles per se. Plenty of people read the comments first and then decide if they want to read the article. Many people participate in discussion without ever reading the article. (There are both good ways and bad ways to do that.)

If you are relating to the site in a particular manner and not happy with it, I suggest you do a private experiment to try to find some new way to interact with the site.

If you want to "offer" people the chance to experience this, I suggest you code up something that lets people try this.
"Why isn't there someone disrupting software development paying experienced people like me a low salary for 20-30 hours a week? I'd still get over half as much done as I do working 50 hours a week, I'm sure."

That's what I do. I started out freelancing and eventually I found a client who eventually needed buy all my available time. 30/h a week, at a salary that feeds me fine.

For reference, I do PHP and linux admin for WordPress and some linux admin work. It's not super fun, but I work for a tiny company and have to look at all parts of a bunch of rando tech stacks (like, moodle, drupal, java applications, mail servers, etc and everything from firewalls to CSS for IE10).

It doesn't "scale". So there there is nothing to "disrupt". I just work with a couple of smart people who do good work, and if we tied to make the business grow substantially we'd probably just work more for the same amount of money, so we are just really selective about what jobs we take. I think. I don't have a great analysis of what makes it work cause I am in the middle of it.
YouTube Music Now Supports CarPlay
Do these three people have 45 years combined experience on the industrial design team, or do you get promoted into that team after substantial experience on other teams at Apple? That could be the difference between a dramatic loss of institutional knowledge and ho hum normal turnover (12% annually).
With 7.7 billion people and a world the brink of collapse having kids is not helping anyone.
>It's midi. It's meant to be notation, not a realistic composition.

MIDI certainly can represent realistic compositions, when used with good synths, though I agree it's not what it's known for!

> I suppose the background "machine gun" piano notes would be a bassy synth combined with 90s electronic music drums.

Uh, what sort of bluegrass music do you listen to and where can I find some of it?
Generally residential connections block outbound port 25, because of the spam issues that were caused by compromised computers in decades passed.

Also, I ran an email server at home when I was a teenager, the availability of the server was less than I wanted, so I've had to move that email service elsewhere. I suspect relatively average people would have a very hard time operating a satisfactory email service at home even if all of the SMTP stuff is perfectly reliable and foolproof.
Stack Roboflow: This Question Does Not Exist
> replacing "AI" with "taint"

I think you're not getting enough credit for this one because as soon as AI works, it ain't AI any more.
You guys are too loud for a shitty meme generator website, probably you got the illusion of success and think you're entitled to spam us on HN every couple of days with your fake wisdom
I really hope the onion writers they hired are getting well paid as a part of that.
that's quite a shockingly negative view of the world you have, keep current with more positive news would probably make you see watt is important
If the "closed ayatem" is the serial killer, then yes, of course. And many criminals do indeed think the system is stacked against them and is unfair, because they haven't internalized that their wrongdoings impact other people.

I'm not using orthodox reasoning. I'm just explaining a perspective you don't seem to understand. And you don't have to agree with it to understand.
I'm glad the attorney general is getting involved. We need to start charging Facebook execs for these flagrant privacy violations. They're being fined 3 billion dollars for legal expenses relating to an FTC inquiry… and their stock price went up by 8% [1].

The market just does not care; it's time regulators and law enforcement started to.

[1] https://www.barrons.com/articles/facebook-stock-is-up-becaus...
If you want to read more like this, here are some internal chats from a recently defunct Canadian exchange between the CEO and an employee: https://www.reddit.com/r/QuadrigaCX2/comments/b13t6l/gerrys_...

There are also references to Crypto Capital. QuadrigaCX is on their homepage.
I dont like the way the breadcrumbs work (do people still use the term breadcrumb? I'm old) and I've got this one repo that is always on the 2nd page of the list. That's my gripes about gitlab. I reckon it's a great product.
Or like how people shouting their opinions on street corners is considered "normal life in the big city", but then somebody comes up with a social network that's orders of magnitude louder and people start freaking out.
FAA Approves First Commercial Drone Delivery Service
Why would you hold significant amounts of Tether? There's no upside and all of the downside.

Why do you do it?
Breweries Helped Keep a Pre-Columbian Empire Together
With a VPN, you also have the option to do IP blocking, though I guess the blocklists are not as well developed.
Anatomy of CVE-2019-5736: A runc container escape [AWS post]
Pointing out racisim on both sides is not excusing it from either one.
It's a view of the world that's different from yours. Loads of people would and do use Topographische Anatomie des Menschen (Pernkopf's Anatomy) despite it being drawn and edited by actual true believer Nazis who used concentration camp inmates as the input.
Ulbricht never presented a defense for the murder-for-hire charge because the charge was dropped and never went to trial. Ulbricht has been sentenced to double-life in prison for all non-violent charges.
> It requires education, and R & D to unlock most of it. But at some point we'll have straight-forward tools that can be applied to solve a variety of common problems.

We’ve been hearing this for a decade – it’ll change the world, if you don’t agree it’s because you don’t understand it well enough – and yet we don’t have a single example of it being competitive, much less compelling.

One of the common comparisons is the internet or, more specifically the web, but those really just highlight how inappropriate those comparisons are. In both cases, within a few years there were multiple examples of real problems being solved and businesses seeing profits from adoption (not just speculation) — and that despite far greater barriers to adoption.
Reminded me of this Amazon video about life as an SDE:

https://www.youtube.com/watch?v=lX1P-gGqNjo

All of them seem tired, with strong dark circle under their eyes.
Agreed! I feel the same way...flexible time is better than money.

I think part of the problem in the US is health care. Employees still want it, but employers view it as a high fixed cost for a partial employee.

That being said, I get healthcare through my wife, so wouldn't need it.
Keybase: Protocol Security Review [pdf]
Just quietly you do know that "auto pilot" comes from aeroplanes, eg Airbus and Boeing passenger jets and is not ready for unattended flight without pilots present in the cockpit, right?

I'm pretty sceptical about having nobody in the front seat of the car while it drives me myself. Time will tell. I can be sanguine about it as I have nothing directly riding on it (as it were) either way.
You can cut corners plenty easy. .unwrap(), .expect() and so forth. The great thing about that is, all the places where you cut corners are blatantly obvious and searchable.
A Scanner Darkly suit?