skysight-inc/HackerNews huggingface dataset:
>Soon investors and CEOs will realize that ML is effective in narrow ways and that not everything needs ML.

Sure but ML is also not being used in 90+% of the narrow use cases it is good for.

>They will also realize that 1 ML team + ML as a service (Azure ML, Sagemaker, Google AI platform) is cheaper and works more reliably.

These services replace part of the ML Ops component but not much else except in very narrow use cases. There's also already GUI based tools for building models but they're also not used much. I don't see this part of ML Ops as being the majority of what ML Engineers do so the majority of ML Engineers don't have to worry.
As a data engineer I've made the same joke.

But the statement is also a bit like saying you can use plumbers to design and build a chemical refinement plant which also just moves chemicals from point A to point B. Or you can design a citywide sewer system with a bunch of plumbers.

There are many cleansing, refining, orchestration, dependency, data quality, governance and optimization problems to be solved and a wide variety of tools that have for whatever reason never grown into higher-level open source frameworks and are thus reimplemented in various forms in many places.

Data engineering (somewhat like software engineering actually) doesn't require much if any of the math and physics I took in engineering courses in college, but it does require rigorous systems thinking about how to design and build structures that withstand adverse conditions that are thought patterns common to other engineering practices, so I don't think it's a totally crazy title for the role.
on the US West Coast, at the early D&D time, there were a dozen other systems in varying states of completion, required learning skills and lots of other differences. Without trying to enumerate all the pithy distinctions, I preferred the Arduin Grimoires.. all hand-typed photocopies as they were.. D&D proper was always viewed with some scepticism by most of the intellectuals involved, whatever the age.

Thanks Internet Archive once again!
When I was a kid, there was a period when my voice was changing that was very awkward. I would answer the phone, and people would hear my weird teenage voice and assume that I was my mom. After a while I got really self-conscious about it and started deliberately deepening my voice until it fully changed.

If somebody's appearance or voice doesn't match their pronouns, I think they're justified in wanting to put that information up front. If somebody's gender identity is not obvious, wouldn't you rather they just told you up front instead of making you guess and then correcting you?

By the same token, if only people with not obvious pronouns practice this, it singles them out. It doesn't hurt anybody. I don't think it should be mandatory, but I do think it should be celebrated and encouraged.
Benchmarking AWS, Azure, & GCP in the 2021 Cloud Report
Measurements of sky's blackness show only hundreds of billions of galaxies
The phone attaches a time/GPS stamp to the image that makes identification of the UFO as an aircraft very easy.
> Just look at the result Google gets with BERT on V100s vs the result NVIDIA gets with V100s.

These benchmarks measure the combination of hardware+software to solve a problem.

Google and NVIDIA are using the same hardware, but their software implementation is different.

---

The reason mlperf.org exists is to have a meaningful set of relevant practical ML problems that can be used to compare and improve hardware and software for ML.

For any piece of hardware, you can create an ML benchmark that's irrelevant in practice, but perform much better on that hardware than the competition. That's what we used to have before mlperf.org was a thing.

We shouldn't go back there.
real people like parlor.
Tailwind CSS for Rails
Hey all — one of the authors of the report here.
We ran 1,000 benchmark tests across 54 machines from AWS, Azure, and Google. The team will be available to answer any questions you have.
The overall point that there is demand for data engineering skills seems valid but in reality you don't have to pick between data scientists and data engineers, it's not one or the other. I don't know if the argument is set up this way just to get more clicks or to encourage arguments but it would have been better to just focus on the overall state of the market and the demand for certain skills.
That is the thing, many argue as if Facebook is a flat, neutral forum, and leave out the whole big algorithmic blackbox it entails. In reality there are no chronological timelines and the regular user is pushed towards the most rage inducing (or as Facebook employees probably euphemize it: "most engaging") content and group recommendations Facebook can apply to an individual.

Facebook was very much an actor in this, not some mere communication infrastructure. Facebook wasn't "warped" by malicious actors, it fanned the flames and by doing so nurtured their hatred and multiplied their reach, all to get the users as addicted as possible to this endless loop. (The same goes for Twitter and Google/Youtube too, of course)
I work for a large Valley software company, and they don't require pronouns or even recommend them, but I do see a few people put them in their signature, mostly in HR/recruiting.

I have two reasons why I don't like the idea of this becoming widespread, at least for now:

- I get that many people are sincere in believing this will help those with non-traditional identities, but I think there are also people who see this as an opportunity to get everyone to enact a drama which reinforces a political view of society as having widespread oppression, victimhood and injustice, and I don't agree with that view.

- Medical opinion seems genuinely divided on whether much of the huge increase in the last few years in trans / non-binary identities among teenagers is real or part of the confusion that everyone goes through as hormones kick in and we form our identities. We may simply be moving too fast on this. We need time to let society figure out if this is something substantial, beneficial and sustained, or something that'll decline and mostly disappear in a decade or two.
I guess that makes sense if it’s only for surface level addressing. I wasn’t sure if it’s supposed to be a deeper identity signal.
Decentralized networks need trust, and trust is not a Boolean value.

With a centralized service, trust is simple: how much you trust the single entity that represents the service.

In a distributed network, nodes need to build trust to each other. In the best-known federated network, email, domain reputation is a thing. Various blacklists and graylists pass around trust values in bulk.

So a node with a ton of sock puppets trying to spam votes (or content) is going to lose the trust of its peers fast, so the spam from it will end up marked as such. A well-run node will gain considerable trust with time.

This, of course, while helpful, does not guarantee "fairness" of any kind. If technology and people's values clash, the values prevail. You cannot alter values with technology alone (even weapon technology).
yes, it solves problems for devs at end-user expense.

5-7 years ago, i could "apt upgrade" and upgrade, nearly, my entire box.

Now i have to manually upgrade DEBs, have separate systems or upgrade/management options for AppImages, Flatpaks, Snaps, docker images.

it's a mess and it makes keeping up with security patches an absolute nightmare.

Now, if you're lucky, apps do all their individual checking if an upgrade needs to be done and you do apps one at a time, piece meal, which requires a lot more time from end users.

I now spend more time managing my machine than using it.

so yay for devs saving some time on their end ,or something.
Signal is also not a good messenger...

You can't delete signal contacts and other potentially incriminating meta... Like wtf?!
Over the last 4 years I have personally tried finding an actual example, but still they allude me. I've seen plenty of bot activity, or news articles talking about bot capabilities, but never a real post in the wild or even a screenshot of one. I'm personally believe this is a mass hysteria used to explain how intelligent voters can make wrong decisions.
Most people do not have the necessary personality type/abilities/interest to do well in STEM. Doing a STEM degree is not enough on its own to get the STEM payoff. To be clear, I am not saying that STEM makes people miserable by default, just that a minority of the population enjoys such things.

However the low percentage of STEM degrees can also be explained by the fact that the college lifestyle is an institution of its own in the US. Therefore more people who won't necessarily stand to benefit from college will attempt it, and they are more likely to pick easier majors (which are overwhelmingly non-STEM)
Isolate a Pod in Kubernetes
You can still do it. Get your own server in a colo that's owned by someone friendly to your political viewpoint. Keep some spares in a closet for when the feds inevitably come when someone uses your unmoderated platform to plan crimes.
Yes exactly!

And as you pointed out, some "bad actors" are not even bots, they are real people working on behalf of some organization.

It would be nice if more people were aware that the hyperbolic content they see on social media is possibly(probably?) either not a real person's thoughts, or has been influenced by some disingenuous source
No.

The case in question is Dodge vs. Ford and rather than believe memes about it just read the darn wikipedia page: https://en.wikipedia.org/wiki/Dodge_v._Ford_Motor_Co.
It's more about French language. It can possibly be interesting to listen even if you don't speak French.
> Cons: you need EVA to move between modules

I’m imagining this tether in your idea as a long, taut cable (or set of cables). It could be the first practical use for a space elevator.
Unfortunately that paper became my litmus test for people arguing from bad faith as it was such a darling of the "COVID is just the flu!" crowd. My memory of the main problem was that the confidence interval of the false positive rate of the test used included values higher than the entire positive rate of the sampled people. I.e. they didn't have enough data to rule out the claim that no one had COVID antibodies, let alone to justify that such a shockingly high percentage of the population could have had them already. Here's a random overview of the critiques that I found on google just now:

https://undark.org/2020/04/24/john-ioannidis-covid-19-death-...

Anyway, I'm sure better data exists at this point. The CDC survey data you linked to looks very interesting and seems to (with caveats) put the percent-immune at 16% or less as of a few months ago. It's sort of a middle ground with what the article here was claiming - 100 million immune Americans still seems to high but not by that much so given how cases have continued since the last serological survey results.
I’m not talking about California (which is anomalous in many respects), but I am talking about the general market in various municipalities as well as anecdata from various people about their property values increasing from year to year.
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Prepare your Valentine s day
Although I am concerned about the 1A and big tech being the arbiters of it, it seems like such a system has yet to go to production (probably never will). I understand that there are technical, financial, and legal complexities that are much more nuanced than 'FB doesn't care, as long as they can profit from potentially dangerous content' and 'FB just wants to suppress any speech which doesn't align with their neo-liberal ideologies'.

What I find troubling is that, a system to find/flag radical/violent content likely exists within the auspices of the NSA. Despite the massive infringement of privacy that these systems create, it seems that they still can't prevent people from being 'radicalized' by content from the platforms that is designed to do exactly that. Furthermore, they couldn't (or didn't) do anything to actually prevent people from storming the Capital. This begs the question, does this massive surveillance state need to exist if it does not do the thing it is purported to do (find and suppress violence, prevent terrorist attacks, etc).

If the owners of the platforms have any conscience, unfortunately, it seems that the responsibility will be up to them. It's murky territory for sure, and you have to strike a balance between far reaching censorship (i.e. infringing of 1A) and allowing disinformation, hate speech, and calls to violence to spread like wild-fire (i.e. how we got into this mess in the first place). I hate to say it, but the older I get, the more something like 'the great firewall' of China seems to make more sense.
I understand Gary Null has had some experiences.
Not 'significant' but you can use L1 internal transfer visas after you work for a while in a branch of an American company.

American company also means a sales or support office (if registered correctly) of a European company.
The report says that AWS's ARM-based Graviton2 cores were tested. Where can we find the download link for the CockroachDB release that was used to test on ARM?
If I was on the fence for pronoun advertisement anywhere, I would definitely come off the fence for any healthcare or social work setting.
> Wow, you're not using your imagination well enough to recognize how ubiquitously widespread opioid addiction would be were it integrated into our coffee, soft-drinks, an aperatif with dinner etc.. It would be a massive, ongoing public health crisis.

That would never happen. People literally wouldn't buy the products enmass because they don't want to sit around drooping all day.

> Finally - if Tobacco is really in the same category of addictivity, then ironically, you've made an argument that we really should shut down the opioid industry hard, because while quitting smoking is difficult, it's not existentially hard and the resulting withdrawal does not require medical attention or anything on the scale of 'Trainspotting withdrawal'.

Everyone seems to be thinking about how bad the withdrawal is and not how long the addiction lasts. The addiction to heroin and many other substances is over in days and weeks. Tobacco as any former smoker who has successful quit will tell you, you have cravings for months, not constant but enough that it's a thing for quite a while.

> An acquaintance in Prison indicated they call the heroin addicts zombies, because they bang on the doors and yell 3 times a day as they receive their poison, which is slowly killing them. I'd argue that incarcerating people and slowly killing them is a strange punishment for those wanting to 'reduce harm' whereupon the logical thing for their health would be to make sure they had absolutely no access and an opportunity to dry out. I hope that in 50 year we look back on 'free heroin' like lobotomies or shock therapy.

You should look into how Portugal has dealt with the drug problem. The free heroin isn't the issue, it's the lack of other support systems to get them off the heroin. Prison is not a place for support.
Don't underestimate the power that a few angry nerds can have when it comes to the overall narrative about a technology.

Every family has that one computer geek who everyone asks for advice, which ultimately influences purchase decisions.
I can't recommend the Data Engineer career enough for junior developers. It's how I started and what I pursued for 6 years (and I would love doing it again), and I feel like it gave me such an incredible foundation for future roles :

- Actually big data (so, not something you could grep...) will trigger your code in every possible way. You quickly learn that with trillions of input, the probabily to reach a bug is either 0% or 100%. In turn, you quickly learn to write good tests.

- You will learn distributed processing at a macro level, which in turn enlighten your thinking at a micro level. For example, even though the order of magnitudes are different, hitting data over network versus on disk is very much like hitting data on disk versus in cache. Except that when the difference ends up being in hours or days, you become much more sensible to that, so it's good training for your thoughts.

- Data engineering is full of product decisions. What's often called data "cleaning" is in fact one of the import product decisions made in a company, and a data engineer will be consistently exposed to his company product, which I think makes for great personal development

- Data engineering is fascinating. In adtech for example, logs of where ads are displayed are an unfiltered window on the rest of humanity, for the better or the worse. But it definitely expands your views on what the "average" person actually does on its computer (spoiler : it's mainly watching porn...), and challenges quite a bit what you might think is "normal"

- You'll be plumbing technologies from all over the web, which might or might not be good news for you.

So yeah, data engineering is great ! It's not harder than other specialties for developers, but imo, it's one of the fun ones !
Never encountered this on the East coast, but if I did I'd have some fun with it.

If they didn't give a list of choices I'd say my pronouns were Who and Whom.

If they did provide a list of approved pronouns I'd complain that my preferred pronouns aren't on the list or pick whichever ones which would make people uncomfortable.
Static linking does not reasonably work for graphical apps on linux due to libGL, since you'd have to choose one libgl implementation at link time and basically embed the GPU driver in your program.
Fluffychat is a Matrix client with a much simpler UI. I've been testing it for a few days. It's still not to the level of Telegram, but it looks promising.
One key takeaway from 1/6 is that a sizable chunk of the mob had no idea that they were doing anything wrong, and are surprised to find themselves in handcuffs after the fact.

At least most historical revolutionaries had the self awareness to understand that trying to overthrow the state is super illegal, and maybe a bit of clandestine-ness is in their own best interest.
I don't think this really addresses the point though. Alcohol is sold with known purity, quality, and quantity. You aren't going to overdose due to an impurity.

Yet dangerous drinking is still very common, and alcohol causes significant strains on our society, perhaps more than any other drug. Why do we think that the situation would be different with legalizing other drugs? A major decline in the risk per use massively outweighed by a huge increase in use over time due to legalization.
Do you have evidence for that claim ?
I've once read a paper in the late 90s or so which openly said ML research was partly "experimental maths".
> I really don't see it as a forum for ideas or activism, unlike Twitter or reddit. but maybe that's just the bubble I'm in.

Exactly -- and that's the real danger of algorithmic engagement-driven content.

For you, it's picking harmless content because that's what you engage with. But once you start engaging with, say, some crazy cult, Facebook's algo will pick up on that, and start prioritizing content from the crazy cultists. In time, you'll get to the point where you're only seeing content from the cultists, and come to believe that's what everyone thinks, because that's all you'll ever see. YouTube suffers from this too.
I do! Just like a movement to reform electrical engineering would be.

That does nothing to make the wider industry inherently political. It also is a much narrower sphere of politics, in that it is about reforming how software is made and thought of, which is relevant to the industry itself in a way that broad social issues are not.
Up/downvote mechanisms always end up as agree/disagree votes.

Moderation is not the same. It is not about agreeing but curating content that is not acceptable (off-topic, illegal, insulting).

Article quote:
"In decentralised social media, I believe that ultimately it should be the users themselves who decide what is acceptable or not"

In my view that is only workable if that means users define the rules because, as said above, I think 'voting' on individual piece of content always leads to echo chambers and to censoring dissenting views.

Of course this may be fine if within an online community focus on one topic or interest, but probably not if you want to foster open discussions and a plurality of views and opinions.

We can observe this right here on HN. On submissions that are prone to trigger strong opinions downvotes and flagging explode.
This is revisionism. There have always been cranks in the Republican faithful, but never have they been as detached from reality in as large of numbers as with Q Anon. Consider all the stories of people "losing" their relatives to increasingly deranged Q-adjacent conspiracy nonsense. These aren't just the cranks that were always there, they're fresh converts.
It's a simple "here's how I would like to be correctly addressed".

Being, say, stereotypically feminine in appearance with "he/him" pronouns or the use of "they/their" may offer clues to more unusual gender identities, but that's not intended to be the primary goal of listing the pronouns.
Sites looking to use jQuery most likely aren't doing much more than a few event handlers and an interactive component here or there.

In those cases, I'd argue pReact is superior. It's almost 10x smaller (29kb vs 3.5kb gzipped). It's faster and more structured leading to less maintenance cost and more code reuse. If you use hyperscript, there's also no JSX compilation required.
Everyone uses pronouns. He or she mostly. They sometimes. Anything else very rarely.
Oh yes, you're absolutely right, colonoscopies aren't risk-free, especially if anaesthesia is involved. I wonder if those risks can be reduced (better equipment? more experienced doctors?).
> How much money has Parler?

Parler probably pays Google and Apple more for ads than Facebook.
Can you support those claims ? at least in Sweden this is far from being the reality
The techniques listed in that website aren't really used for single-page apps.

They're listing APIs that you used to need jQuery for that are now natively supported by the browser. This is for people still doing the jQuery style of development.
Trying to use ML to get rid of programmers will just replace them with ML experts who also have to be programmers to implement the models and munge all the data. These people will in turn have to be paid more than the original programmers were.
A late comment, but Bell is the ur-example of this, and a huge, almost ridiculous, amount of innovation came out of Bell Labs.
It can go both ways. E.g. often, experimental physicists will try to prove/disprove a priori predictions from theoretical physicists.

Theory is just an explanation of hw the world works: you can come up with that explanation as a reason for observations, or as a logical consequence of other theories (which is then verified by observation).
the wrong people /s
I remember some Reddit shower thought that the first person to record and play back sound must have thought they did it wrong when they heard their own voice.
Writing Simulations Using Go