skysight-inc/HackerNews huggingface dataset:
I assumed you meant manually. This method isn't possible to automate under PoW, because any such actions require global time, but PoW is what provides time itself, creating a contradiction. What this means in practice is network splits.

>you know the transaction exists, and at some point (i.e. after a certain number of blocks), if the transaction isn't included in the chain, you can conclude with reasonable certainty that the transaction is being intentionally orphaned. This allows you to reject the chain that doesn't include the transaction as invalid

as what would happen is nodes that were online and observed the situation would follow one chain, but everyone else that joins later wouldn't be able to confirm that censorship actually happened, and follow another.
If you have a solution that solves it, you solved the fundamental problem - absolute order - some other way and PoW becomes completely superfluous.

Then there's a problem of: what happens when there are contradictory transactions on two different chains at once? How do you decide which one is valid? This gets complex very fast.

If you want to try tackling the censorship issue in an automated way, you have to move away from PoW to a more typical consensus algorithm with online identities. In the simplest case, if all (ever - no new ones) network participants are online all the time, the problem becomes trivial and something close to your solution would work.
Pyrocumulonimbus – A Cause of the Bushfires in Australia
123Putlocker Movie – Titanic (1997) Watch Free
It's not "Bay Area in the 1948" that has a reputation for being progressive. It's "Bay Area in the present" that has this reputation. And the later would generally be quick to agree that the former was not very progressive.
The author doesn't state the Java version but more recent version JREs (9+ IIRC) start up way faster than older versions. I'd imagine a JRE's launch time is heavily influenced by disk cache. A warm launch ends up way faster than a cold launch with the tens of megabytes of classes in RAM means the warm launch basically loads the program's class file from disk.
Some of the article is sales-pitchy, but this part of it is spot on:
"Complexity on its own makes a system less reliable"
They were writing about the fire alert system, but it is relevant to pretty much any software/hardware system you care to think about.

I do not think that the bundle of technologies we call the "internet", has gotten less complex or easier to interpret, in the last decade. On the other hand, there are a lot more critical systems that depend on it. Sort of like the presence of fuel and oxygen; a spark is guaranteed eventually.
Watch “Google Maps Hyperdrive Animation” on YouTube
Google Maps Hyperdrive animation: https://youtu.be/JSUKhcTHgoc
We are also pretty fragile and adapt (evolutionary) really slowly. Whenever there's some local major disaster (fires, earthquakes, tsunami, volcanic eruptions, mud slides, floods, hurricanes) we don't really do so well locally so I'm not sure we'll do that much better under some global major changes.

The worst case scenarios here look pretty bad and our lack of ability to respond so far seems to indicate we just won't be able to respond.

Humanity is taking a big gamble here. Win, and we maybe have slightly higher standard of living (whatever that really means), lose and we can't live on this planet any more. That's a pretty dumb gamble to be taking as a whole, it's just some people think they'll end up ahead of the others.
I'm confused by what you're saying... by data that hasn't seen before, do you mean new variables which need to be hypothesis tested? Or just a larger sample?

I also don't see why you can't create a "function" hash or otherwise, that works for 1000s of dimensions. The model itself, if it was perfect would be an equation... the number of dimensions really doesn't matter that much.

Sorry, I'm just real confused by your statement.
What is with it lately where there seem to be lots of posts fetishising absolute performance over lots of other attributes, or even worse, pretending those other attributes don't even matter.

What is the point of this post? Yes, I fully expect a simple Hello World in assembly would be straightforward and fast. I still want the advantage of things like automated memory management, an interpreter or JIT compiler where warranted, a standard runtime environment, etc. For anything even remotely complicated.

I get it, over the past 30-40 years we've built layers upon layers of abstraction, so it's worth it to take a look back and ask "Are there some cases where we overdid it?" Still, let's not throw the baby out with the bathwater, or forget why we added those layers in the first place.
Bank managers, however, can at least theoretically be hauled in to court and questioned.
Wow thanks for that! For anyone being lazy, please take a look:

https://www.reddit.com/r/MilitaryPorn/comments/dxwi51/b2_ste...
I'm not Asian or Asian-American (I'm an African-American male), but there have been studies that shown that in the United States men and women of certain ethnic groups have different levels of success when it comes to dating. Many studies have shown that black women have it the hardest among women of various ethnicities in American online dating sites, and these studies have also shown that men of Asian descent have it the hardest among men. When black women are unfairly stereotyped as having unfeminine characteristics, and when Asian men are unfairly stereotyped as being nerdy, then it hurts them when competing in a dating marketplace where many people across racial and ethnic groups unfortunately hold stereotypical views, sometimes even about their own ethnicities. I deal with this myself as an African-American male who doesn't conform to the stereotypes; unfortunately I find myself "between a rock and a hard place," where I feel ignored by women within my ethnic group because I'm a "cornball brother," yet I also feel ignored by women outside my ethnic group because I'm black. Now, not all women are guided by stereotypes (and not all men are, either), but we have to work harder to find partners who are not guided by stereotypes and are genuinely interested in wanting to know each other more as individuals and not as representatives of our gender and our ethnicity.
huh? assuming that this preference is true, clearly the argument would be that Asians are harmed. most couples are intra-racial.
I'm not sure he completely undermines himself. Yes, we are definitely growing more birds for food and he could have made that relationship more clear, but at the same time, there is simultaneously a bird "extinction" event going on that also results in an increase in the percentage of birds that are for poultry use.

I'm not sure if you've seen this, but based on an extensive report examining 140 million records of birds, the Oct 2019 paper in Science, "Decline of the North American Avifauna"[0] determined that there are now 3 billion fewer birds in the US since the 1970s:

>"Using multiple and independent monitoring networks, we report population losses across much of the North American avifauna over 48 years, including once-common species and from most biomes. Integration of range-wide population trajectories and size estimates indicates a net loss approaching 3 billion birds, or 29% of 1970 abundance. A continent-wide weather radar network also reveals a similarly steep decline in biomass passage of migrating birds over a recent 10-year period. This loss of bird abundance signals an urgent need to address threats to avert future avifaunal collapse and associated loss of ecosystem integrity, function, and services.

This paper also spurred some articles that discuss the issue such as "Birds are Vanishing From North America" in the NYT [1] and "The Quiet Disappearance of Birds in North America [2]

Then a week after that paper came out, the Audubon Society released a report "Survival by Degrees" [3][4][5] saying 2/3rd of birds are at risk of extinction from climate change alone if global warming hits 5.4 deg F by 2100.

So while the author could have been more clear, the fact is, the evidence is clear that bird populations are rapidly declining due to climate change and the latest reports warn that we must take steps to "avert future avifaunal collapse."

[0] https://science.sciencemag.org/content/366/6461/120
[1] https://www.nytimes.com/2019/09/19/science/bird-populations-...
[2] https://www.theatlantic.com/science/archive/2019/09/america-...
[3] https://www.audubon.org/climate/survivalbydegrees
[4] https://www.biorxiv.org/content/10.1101/798652v1
[5] https://www.biorxiv.org/content/10.1101/798694v1
It’s a mail server. Traffic bursts aren’t really a thing unless you’re servicing thousands of users.
> "[The debate] has proven contentious enough to prompt OSI co-founder Bruce Perens to resign from the organization, for a second time,"

I also recall when he proudly announced he'd GPL'd a copy of the Public Domain TIGER data files.
Both AWS re:Invent and KubeCon had Datadog booths
The convenience to be able to say: "we didn't take the decision, the algorithm did" is the holy grail of non accountability.

I wouldn't be surprised if someone, especially in business, is actively opposing transparent AI.
Things I Learnt Building a Nixie Tube Clock
I never got to actually use OS/2. However, when I was a kid I filled out one of those survey cards from a computer magazine, and I started getting all kinds of catalogs and stuff.

One of those catalogs was from Indelible Blue. It was basically a catalog full of OS/2 software. REXX scripting always fascinated me.

https://books.google.com/books?id=kzoEAAAAMBAJ&pg=PA89-IA1&l...
> You can always verify why it made the choices it did on old data.

This makes no sense. Your model typically isn't asked to make predictions on "old data" because it was trained on it. And understanding why it made certain prediction isn't any different on "new" vs old data.

You can look into bias-variance tradeoff, train-test splitting and cross validation to get a better picture of this.
The language in the post, "Most languages do a whole lot of other crap other than printing out “hello world”, even if that’s all you asked for." certainly seems to imply it's moralizing about something.
Essentialy any true HPC workload. You can go pretty far by ignoring latency and doing some series of map and reduce stages on top of giant conceptual file with large-ish records. There are workloads where data for these partial parallel jobs are on the order of machine word or two and then you really care about communication latency between cores.
Might have been the case, but on my small town buying such IBM model was the only way to get OS/2.

No one was selling it on OEM clones, and buying a PC clone was already expensive enough, to even think about trying to get an additional alternative OS at IBM prices.
It’s better to have no role models than negative role models that stick around and make things worse, in a lot of cases.
And I've see it work out brilliantly
Can you train a white box solution with only a tagged data set? It seems obvious to me why we have black box solutions even if we could have spent man hours engineering an algorithm.
That was my (white) read on the story.

I think what's missing isn't so much simply mentorship - it's advocacy. The children suffering the most domestic instability are those least likely to get a parent helping them or helping their school to help them.

My (widowed, middle-class, white) mother volunteered for https://en.wikipedia.org/wiki/Sure_Start and as an assistant in schools.

She guided immigrant families coming to the country through the hurdles and stories of upset "native" children being upset as Daddy's come home [from prison] and isn't being nice to Mummy.

My takeaway feeling from hearing the stories (aside from pride) is that I, and I presume most of us here, were so so lucky. We got a pretty decent launch into the world and made of it what we wanted - we've got complaints, but mainly through our own actions.
1. Because it's reasonably "far away" from the main centres of possible climate refugee migration

2. Because you can. https://www.businessinsider.de/international/countries-where...
I think what you are hitting up against here is that the "discipline" you are referring to refers to structure and accountability for their choices.

The "discipline" referred to by the article more often boils down to punishment for misdeeds.

One form builds up a person into a better version of themselves. The other is intended to break the spirit of the person and make them submissive.
It's an old idea (22 years at least), the black box method can be used to remove noise and find a none bayes/compression/simplest info theory model, then the model is used to generate clean training for a decision tree or association rules.
* First-world, developed country

* Stable currency

* Stable political system

* Speaks English

* Few geopolitical entanglements

* Natural resources
Good point. Performance is a great consideration as well.
We've been arguing about concurrency primitives literally for decades and the 'worst' part is that for most of that time, all of the competing solutions were documented by the same individual - Tony Hoare - within a narrow period in the early 1970's. Soon that will be 50 years ago. Watching people argue is like the People's Liberation Front of Judea scene in Life of Brian. As far as I know, borrow checking may be the first real change in that arena in decades, and I bet even that is older than most of us know.

I was getting heckled recently about my allergy to trying to negotiate interprocess consensus through the filesystem. I've seen similar conversations about how hard it is to 'know' the state of files, especially in a cross platform or cross filesystem way (see also the decade old fsync bug in PostgreSQL we were talking about early last year). In our case several dozen machines all have to come to the same decision at the same time (because round robin) and I was having none of it. I eventually had to tell him, in the nicest way possible, to fuck off, I'm doing this through Consul.

The thing is that people who generally don't learn from their mistakes absolutely do not learn from their old mistakes. So for any bug they introduce (like a locking problem) that takes months or quarters to materialize, they will not internalize any lessons from that experience. Not only wasn't I gonna solve the problem the way he wanted, but if he tried to take over it, we'd have broken code at some arbitrary future date and he'd learn nothing. He could not understand why I in particular and people in general were willing to die on such a hill.

Anger is not the best tool for communication, but as someone once put it, it's the last signal you have available that your boundaries are being violated and this needs to stop. Especially if you're the one who will have to maintain a bad decision. As often as I critique Linus for the way he handles sticky problems, on some level he is not wrong.
When you run "python" you're most likely running CPython, an interpreter written in C that was 2.5x faster than Java according to this table.

You're looking at the numbers for PyPy, an alternative Python implementation written in Python-ish compiled to C which provides a JIT compiler for Python. A bit more understandable why that initializes slowly (though runs faster for longer programs).
This sounds fantastic and I personally am trying to learn how to document better. Would you be able to share any of these documents or do you have one take away from those documents that was done differently than any other documentation you have seen?
> designers removing hyperlink underlines from everything

That's like getting mad at a high school student for sending a open letter to parliament asking to made dictator and them saying yes. Designers shouldn't even be in a position to make that decision in the first place and browsers shouldn't listen if they do.
This is nuts. How many people work at this place?
I think you may have missed parent's point. What he's saying is that having a "stable and supportive" family should really not be a privilege in the first place, regardless of material resources. Plenty of folks throughout history, even folks of very limited means and quite low station for their time, have had stable and supportive familied behind them. Families are an extremely important bedrock and building block of a community's social capital, and policy should explicitly recognize this. Calling all this mere "privilege" is a defeatist and devaluing attitude, that betrays a facile lack of empathy for the plight of those involved.
I think there is a lot of scope for interpretation in black box models. E.g. when doing transfer learning with a frozen pretrained model it should explain the new classifications in terms of pretrained classes.
You're right. Looking at it again, it doesn't. However, this site says that a vegetarian diet saves about one ton of CO2 per year over an average American diet: http://shrinkthatfootprint.com/food-carbon-footprint-diet

That still isn't very expensive in terms of offsets - about $10/year (Terrapass sells the offsets for $4.99 per 1,000 lbs). Why do you think that's astronomical?
It is an inconvenient destination for mass migration and military invasion, not downwind of likely thermonuclear war targets, is large enough to support amenities, and is at sufficiently high latitude.
> Why should blame be tied to compensation? Compensation tends to be tied to perceived impact. The perceived impact of a manager with 10 reports who are all focused and delivering individually is much higher than the impact of a manager with the same number of reports where half the team meets few of their goals.

Maybe because when those goals involve cutting corners on safety and hundreds of people die as a result, that's one heck of a lot of "impact"?
Nothing happens because politicians needs to sell dreams in order to get elected. The public doesn't want the truth, that's the problem.

There's people out there in very poor shape, smoking cigarettes, drinking alcohol and eating junk every day and it would take a massive health problem to get them to change their habits, even tho they feel like crap all the time.

This is essentially the same thing with our society. What needs to be done is drastic, yet how do you convince people that this is desirable? You can't. Most people need suffering in order to change.
> Reid Hoffman, the co-founder of LinkedIn and a prominent investor, recalls telling a friend that he was thinking of visiting New Zealand. “Oh, are you going to get apocalypse insurance?” the friend asked. “I’m, like, Huh?” Hoffman told me. New Zealand, he discovered, is a favored refuge in the event of a cataclysm. Hoffman said, “Saying you’re ‘buying a house in New Zealand’ is kind of a wink, wink, say no more. Once you’ve done the Masonic handshake, they’ll be, like, ‘Oh, you know, I have a broker who sells old ICBM silos, and they’re nuclear-hardened, and they kind of look like they would be interesting to live in.’ ”

https://www.newyorker.com/magazine/2017/01/30/doomsday-prep-...
I still find the table worthwhile, and maybe even worth looking into for the worst outliers. It's not definitive, but the spread is interesting.
Explainable Machine Learning Challenge
Probably least likely place in the first world for conflicts/nuclear strikes.
You’re correct to state that yes black children in the UK are more likely to go to university than their white counterparts, however, this not only goes for black children but all ethic minorities. The truth is working class white children in the UK have issues British society isn’t comfortable talking about and I believe is one of the leading causes of the rise of popularism in the country.

It’s also important to note that although black children are more likely to go to university they are also 2.5 times more likely to be unemployed on comparison to their equally qualified white counterparts which indicates institutional racism. If as you suggest we avoid the topic of race solutions for issues like this will never appear.

Lastly, there is a huge black wage gap in the UK £3.2bn according to reports.

Speaking as a British black male I can say that race issues in the US and the UK aren’t as different as you make out and in a lot of ways the US is miles ahead in confronting the problem openly in contrast to the UK approach where people would rather sweep the whole issue under the carpet as you have so neatly illustrated.

Links to the data below.

https://www.google.com/amp/s/www.independent.co.uk/news/educ...

https://www.google.com/amp/s/amp.theguardian.com/society/201...

https://www.google.com/amp/s/amp.theguardian.com/money/2018/...
Although the following links focus on the recent, "It's all the greenies fault," rhetoric that has been sweeping through Facebook and other places the last couple of days, it does also provide information about hazard reduction burns from people who work in the field (AKA experts).

https://www.theguardian.com/australia-news/2019/nov/12/is-th...

https://nitter.net/jagungal1/status/1212937426034782208
Benchmark uses fixed seeds, there’s no inherent randomness.
On the hand, being pessimist will probably reduce any chances.
I don't think it's worthwhile assuming this level of malice.. Ultimately we choose models that are the most performant. Interpretability is just a nice bonus. I can assure you that I am held accountable for my model performance regardless of whether I can explain its decisions satisfactorily. All the business cares about is whether we're burning or making money.
Yeah, well, the tipping culture is ridiculous anyway. Culturally enforced tip to people who earn below minimum wage. If tip is too small, it is still insulting. Just add it to the price already? Same with taxes. Why would you not include these in the cost the customer is going to pay? I find it dishonest.
Re quantization - you should be fine with INT8. So that's 1.5GB. And after pruning you will probably be able to compress it down to 500MB. To clarify - we are talking about distributing a trained model, right? You don't need to train it in reduced precision. Both TF and Pytorch provide tools to quantize a model after training.
Population decline is highly localized. It is happening least in the areas that will become uninhabitable without adequate action.
By data it hasn't seen before I mean a sample which doesn't exist in the training set. Maybe I'm not understanding something in the parent's argument.

For example, you train an image recognition model to tell cats and dogs apart using images from the internet, then you take out your phone, snap an image of your dog and give it to your algorithm to determine the species. When preprocessed this picture is equivalent to one row in a table with thousands of columns and this specific combination of pixel values doesn't exist anywhere else. Where is the hash function looking and for what in that case?
Thanks. Have to say I'm surprised, think I have a new period of history to read up on for 2020!
Hyundai Motor to invest $87 bn in future mobility tech by 2025
We are a lot of people, tied to hard built cities, and depend on a lot of things running smoothly (food, comunications, world peace, and more). Disrupt that (and the way the climate is changing will disrupt everything) and you won't be able to sustain a civilization like ours.

And as AIDS, it won't kill you, but it may put you in a position where otherwise minor problems may become lethal (wars, plagues, self-destructive social trends, etc)
There were over twice as many black people in the Bay Area during the 1970's as there are now.
> "Japan does well with little land. Agriculture nowadays uses way less land than it used to."

Surely you are joking. Japan is not self-sufficient with respect to food; they have to import around 63% currently and it is of great concern to them, see https://www.japantimes.co.jp/opinion/2019/08/20/editorials/j... .