skysight-inc/HackerNews huggingface dataset:
I've had quite a few Fitbits break, which is frustrating, but their redeeming quality is their willingness to replace over and over again.

When it breaks, they generally offer a free replacement or the option to buy a newer version at half price, so since my first in 2016, I've had six or seven — three or four replacements and two half-price upgrades. (Charge HR replaced once or twice, Blaze replaced once, and Charge 3 replaced once.)

I suspect I'm still a profitable customer, but I suspect they'll become a lot stingier eventually.

My main concern with switching to a different brand is that I'm worried that they're be more breakable and less readily replaced. (Also, I'm on Android, so there are too many options and I can't decide.)
Good data is hard. Anyone conducting research in the physical sciences knows this firsthand. It takes painstaking effort to conduct carefully controlled experiments and collect a batch of good data that could then be used for analysis.

The promise of ML has always been to churn out good results from not-so-good data. If I now need to sanitize my data carefully, what's the advantage?
Parler only has 30 employees, has some very well-publicized security and design flaws suggesting a lack of engineering talent, and is backed by just one private investor. The only way they were even able to release an app of that scale is because of all the services they bought from companies like Amazon.

The lesson the business world should take from this is: invest in your engineers.
> on top of the MLPerf Training and MLPerf Inference benchmark suites, we now have a new MLPerf HPC suite to capture ML of very large models.

I think the challenge is selecting the tests that best represent the typical ML/DL use cases for the M1 and comparing it to an alternative such as the V100 using a common toolchain like Tensorflow. One of the problems that I see is that the optimizer/codegen of the toolchain is a key component; the M1 has both GPU and Neural Engine and we don’t know which accelerator is targeted or even possibly both. Should we benchmark ML Create on M1 vs A14 or A12X? Perhaps it is my ignorance but I don’t think we are at a point where our existing benchmarks can be applied meaningfully with the M1 but I’m sure we will get there soon.
BlocklySQL – Visual SQL Programming
> I don't get why I would get a smaller cut of the profit just because I save less for my children than Americans do

In a sense you don't, depending on how you count. My gross salary is after the pension is deduced. The gross includes my kids university costs, but they are deduced as taxes so don't show up on the net.
An american deduces the kids university costs from his net salary (and there could be more, e.g. pensions).

Comparing pay as a simple number "gross pay" is extremely difficult. Comparing net pay purchasing power or similar after necessary expenses including savings (and kids university) is probably more accurate.
The problem with scaling upward is how incredibly soul-rending the job is. At some level you're basically guaranteeing that some number of people are going to be traumatized.

Maybe at some point the better strategy is to limit public exposure and favor segmenting some groups out into their own space that requires extremely explicit opt-in measures? Hard to say, and tucking it away into its own corner of the web seems rife with its own problems.

As another commenter expressed on some other topic, this is a long-running problem with many incarnations: Usenet, IRC, BBSs, etc. It's become especially salient with the explosion of social media platforms that include everyone from Grandma to Grandson.

Bottom line... my heart goes out to moderators of these kind of platforms.
wtf?
Can you comment on the Insync Forums thread please?

Thank you!
I won't pretend to be close to the matter, but my understanding was Parler's value proposition to users was that they wouldn't moderate as heavily?
For me, when I had a Facebook account, it would show me this kind of content. Not because I agreed with it, but I felt compelled to argue with it. But with their algorithm that counted as engagement. So whenever I logged in I had a wall full of hostile content. It was affecting my mental wellbeing so I just deleted the whole thing and haven’t looked back.
Not sure I agree that HN "radicalizes" but I would say that the obsession with the need for sources and the tendency to apply algorithmic-level logic to comments leaves this place lacking imagination and/or a touch of humanity that the world otherwise applies to thinking. In other words, there isn't much reading between the lines or "zooming out", it's a lot of nit-picking.

Can one be too logical? Too empirical? Too scientific?
I thought Facebook was just for memes!

It has become pretty good at only showing you things you like to counter the reputation of making you hate the people you know IRL, I suspect.
Pair-programming tips and tricks for coaching a remote team
Clearly Facebook's systems are able to associate correct ads based on the semantics of the content. Since this is true, why can't those systems moderate said content?
I got this link from a previous HN discussion a couple of days ago and would like to share with you guys. I think it's fantastic.

Original sharer:
https://news.ycombinator.com/item?id=25766309
What a nothing burger.
Even bart erhman has published in his hostoricity
Fast forward a few years. Look at the time it takes to design chips. Look at where the market and tech is going (M1 and AMD especially). Compare with RIM and Nokia. There is a "roadrunner" effect where a colossal company will continue for a few years on pure momentum. There are so many things speaking against Intel. And the facts you bring up as speaking for Intel seams more like short term momentum to me. I would guess at the following conversation in 5-10 years:

- "How did Intel die?"

- "Well, first slowly. Then quickly."
Moore's Law was originally about the number of transistors per unit area and that has absolutely stalled. They are comparing 72 and 64 core processors to single core ones to try to make the claim that "transistors per chip" are doubling in accordance with Moore's Law (which they still aren't--you can plot a line through and see that we are falling short of linear on a log scale). Are you really arguing that simply making microprocessors larger, ignoring cost and density, is an improvement in processing power (especially for the average end user, who is on a machine with only a handful of cores)?

Look at the actual transistor sizes. In 2009 we were at 32 nm. We're now in 2021, so if transistor sizes had kept halving every two years we would be at 0.5 nm. Clearly, we are not anywhere close to that--we're off by a factor of 10, and that's only with the very latest and greatest manufacturing processes that almost no consumer chips use (not to mention that the 5nm process used by AMD is not the same as a 5nm process used by Intel). As the article itself notes:

> Microprocessor architects report that semiconductor advancement has slowed industry-wide since around 2010, below the pace predicted by Moore's law.

Of course transistor companies are happy to claim that they are secretly keeping pace, but in terms of commercially available microprocessors it is unquestionably false. Anyone using the "doubling every two years" approximation to decide how much more computing power is available now than 10 years ago, or how much more will be available 10 years in the future, is not going to arrive at correct figures.
Sometimes I think to myself, why bother to submit things to HN? Everytime I submit something (and recheck twice I am first), nothing happens... until someone else resubmits the same thing.

I submitted this one 2 days ago when it was fresh.

Can anyone tell me how this works here?
The problem is that having multiple clients for a given platform is confusing for non-technical users. Most users will give up after they have failed with the first client they found, especially if alternatives like WhatsApp etc. are easier to use.

That's the first time I see this client mentioned. Maybe in a few years, the dust will have settled and there'll be a prominent Matrix client that's the obvious choice for most users. I don't think it'll reach widespread use before that.
Camel is rakuda. Raku means easy, comfortable, without trouble, etc.
What really disappointed me about the fitbit was that it required it to be tethered to the phone and my account before it would function as a pedometer.

It seems broken that I also have to have a phone, app store access to get a device to drive the pixels for data it already has.

Every piece of hardware that does this is effectively "app store locked", your phone is now your software dongle for your hardware.
Oh for sure! I just cannot set it up where I am right now. I am sure that NetGuard may also somehow be able to block domains but I have not been able to find out how.
Because you sound like the guy who dubbed Goldeneye to them!

(JK ;) )
they’d still be able to innovate their own fork, but they will no longer be able to pull future upstream elastic code into it. so it becomes more of a hard fork. if elastic continues to innovate it will be difficult for open distro to remain competitive with it.
Of course, everyone requires a wipe. That's to protect normies' data when they inevitably get their stuff stolen on a trip to Paris. Easy to live with, just root it first thing after unboxing.
Suggestion algos working as per design. What's the surprise here?
One thing worth considering is that a lot of the people at the capitol were extremely tacti-cool, so regulation or not, this is probably not unexpected.
After having seen how difficult it is to get an Oura in the UK, I might investigate this first - thanks!
It's a serious hurdle when pReact is only 10kb unzipped (13kb with hooks) while jQuery is 89kb.

Accounting for 70% average minification and 40 characters per line on average, that's around 6,500 lines of normal code shipped "for free" by using pReact instead where there's both no wire cost and no extra parse time.
The OP mentioned the technology industry, which tends to be pretty informal. At least personally, the vast majority of my correspondence uses first names rather than honorifics. I agree that it can be a bit stilted, but it's better than awkwardly mixing up a person's gender.
What's the career trajectory for data engineers?

I enjoy the pipeline building and business stakeholder interfacing, but I'm not sure I want to be a SWE a decade from now...
Well, damn. https://imgur.com/a/m5wywbj

What did you do, if I may ask?
Moderation is not upvoting/downvoting.

For example, when you moderate a debate you do not silence opinions you disagree with, you simply ensure that people express themselves within 'acceptable' boundaries, which usually means civility.

To me this means that 'decentralised content moderation' is largely an utopia: Whilst the rules may be defined by the community, letting everyone moderate will, in my view, always end up being similar to upvoting/downvoting which is a vote of agreement/disagreement.
Couldn’t agree more.

The author cites no compelling trend that ML is stagnating, esp relative to other disciplines.

I’d also add: is it BAD if universities are churning out highly skilled workers when there is high demand for them?

This seems to be more a rant of ML becoming more mainstream and accessible to a wider variety of students than anything.

They admit that some of the most “innovative and challenging” problems are still around, but many do not focus on that. Ok, so what, there are maybe more tiers and splitting of work into subdomains, some more “vocational” and some more “research-y” in nature. Is this a BAD thing?
> It tends to be a stabilizing force for society, despite the malevolence (eg Iraq war).

Brave words. Stabilizing for whom?
Indeed, I was never in a situation where someone threatened my life. I know why. I life in a first world country. With reasonable people, and proper gun control laws. The gun laws are what make me consider the USA not a safe place.
Which is crazy to me...Google is...

Your photo manager

Your search engine

Your document storage service

Your health monitor

Your contacts list

Your video hosting facility

Your calendar

Your document editor

Your location history

Your music engine

And I have no doubt I'm missing a load here, point being why the fuck has the EU not stepped in at this point and said "woah buddy, you're a tad too big to be this unregulated".

The EU needs to enforce stricter regulation across all Google products, such as making it illegal to "ban" or lock out an account by means of an AI facility without human resolution within 6 hours or less (6 hours is a maximum, anything above incurs an hourly fine).

These must be regulated like a public service, because the risk of losing access to an online account can be devastating.

The onus, however, is on YOU to diversify, have redundant email addresses (forward+store a copy) so in the event one is RIP you are not boned entirely.
I switched to a Garmin Instinct a few months ago. My Charge 2 died and I wanted something with GPS and decent battery life. I charge my watch every 10ish days (I pair it with my phone only after an activity to see the details, not otherwise).
I personally find it great that it has a rugged screen with buttons instead of fancier things like a touchscreen, payment options etc.
They don't have the common carrier protections. That is, phone companies are not required to censor hate speech, and ISPs are not required to censor unlawful content that passes their pipes, because they are just, well, pipe, oblivious of the bytes they pass.

Platforms are in the business of making content available, so they are forced to control the availability, and censor unlawful content. They choose to censor any "objectionable content" along the way, without waiting for PR attacks or lawsuits. I can understand that.

(What is harder for me to understand is when these same platforms extoll the freedom of expression. I'd like them be more honest.)
Yes there is some of that, but at least SQL is rather readable and declarative, even if the syntax is way too irregular for the ideas.

I blame less SQL false advertising, than the insane tunability and lack of effort into migrations tooling for making the relational database world so much more kafkaesque. Or really between the nature of Oracle, Microsoft, and their customers, it might have been an inevitable insanity along the lines of Conways law and too profitable -> too many cooks in the kitchen -> too complex.
How to moderate Facebook and make sure there is no illegal content is a big topic in Europe.

Some open problems:

* Nazi propaganda
* Content that's dangerous to the development of children (violence, eating disorders, ...)
* Sexual harassment
* Libel and slander

So yes, take that together with Facebooks data transfers across the Atlantic and there is a real chance of Facebook shutting down in Europe.
A couple of teenagers where driving mopeds in other peoples yards this morning. Someone on Facebook suggested dealing with the problem by hitting them with a baseball bat. That hasn’t been taken down and it won’t.

If you write in a less spoken language Facebook struggle to moderate you. Unless you’re trying to sell animals, because they spot that in seconds.
What a sad and tragic end.
> How often do big companies like Apple and Intel succeed in righting a sinking ship though? You can’t keep pointing to the one guy that succeeded.

I feel like the view of Intel as a "sinking ship" is an inside-basebally misread of the situation.

If you buy a PC or a laptop or a server today, you're most likely getting an Intel CPU. It's now at least possible to buy AMD in many market segments from major vendors - and of course many of us do - but to the broader consumer and hosting world Intel still dominates.

You can look ahead and extrapolate and say "they can't compete with TSMC right now, and maybe they're going to start falling behind further." Fair analysis. But they dominate the market to an extent that's hard to overstate.

Contrast this with between-Jobs-stints Apple, which was a tiny shrinking company with a niche product and no clear strategy.

Intel is almost in too-big-to-fail territory. They aren't sinking, just because they now have real competition. Yes, they need to do "something" to maintain dominance - but why would you see their situation and conclude they won't? The new CEO here is a sign that they see the trouble ahead, and they're ready to steer around it.
While I agree it's easy in hindsight, you're not comparing apples to oranges here: comparing the comment author to a person running a business, with very high expertise in particular subject (chip making) and general subject (technology), having access to information not accessible to others (Apple plans and visions about the product, tech specs required, price asked, etc.) is not even close to being the same thing. I can see how a much better decision could be made very realistically given that expertise and information no one else had and yet the worst possible was made.
> You'd need someone with excellent communication skills (presentation, memo writing, teamwork), project management skills (identifying & overcoming workflow bottlenecks), professional skills (timely responses, political savvy), technical skills (application programming, advanced databases, advanced machine learning, Excel modeling) and finally some business domain knowledge.

This is pretty much the bare minimum requirement for any data scientist job I've ever interviewed for or held.
It's amazing that people are downvoting simple technical facts to appeal to others without even providing a single technical argument. It's as if I stated a political statement or something.
French R and soft G are shared among other things between the French and people from the South of Holland and below.
Unfortunately yes, that's the problem with a lot of the studies people are making life decisions on, psychology, dietary supplements... Between studies funded by companies and/or authors with conflict of interest, unreliable methods (in vitro antioxidants) or cohorts selection issues (grad students that need the money so they lie on selection interviews for experiments or trials)... In those cohort studies, what people eat is highly dependent on their wealth, education, localisation, jobs... And they rarely control for everything (mostly because it is impossible and if they asked people to remember instead of giving them devices they don't may not have the money to spend on a carefully designed experiment).
It is probably an argument for having diverse views in politics in general, and beyond quick reactions, limiting the power to declare war, or engage in aggression more broadly, to more control by deliberative bodies
I could yes, but at the same time, I do feel that if I got a donation and then life/work/etc. got in the way and I stopped doing anything, I still feel like I in some way let them down since they did donate to me.

I will offer that I am also in a fortunate position where I don't need the money in the first place too.
The issue is that it’s not federated by jurisdiction, so they apply American laws and principles to people in Ghana as well as Mexico and Indonesia, but all these countries have different frameworks for speech and what’s allowed and not. Facebook however does not observe that unless they get pressured (like Turkey).

We may both hold that Turkey has issues with authoritarianism and freedom of speech, but that’s up to them and the international community, not Facebook to set and settle.

They are not accountable to the local population they are serving.
Exactly. Almost the only time I see things that I disagree strongly with is when I'm shown a comment by one of my contacts who is in a stupid fruitless argument where neither party has a chance in hell of changing the other persons mind.
New Fitbits are similar. (Battery life in all devices decays over time.)

Your Apple Watch or Google Wear OS will give you a day or two.
> You are agreeing with the author. He is presenting his opponent's viewpoint, with humorous exaggeration.

You're right, page 3 winds that back as you say.

> That isn't his claim here. It's hard not to agree that books can be more polished.

Of course, but he presents the timings as 50 minutes as against 10. That's not reflective of how long it would take a student to understand the material.

> it limits the author's temptation to squeeze in one more thing, one more generalization. And because it puts the experienced speaker's thought process on show, not only the final tidied up result.

I agree on both points.
exactly, these are characteristics of a unicorn and I think most of these skills are trivial to build up over time through practice and self-learning and these skills can yield great benefits both for employers and employees
I was honestly more so thinking about holocaust denial which some consider to abhorrent but others within the line of acceptability.

As in, the things that, some wish, were banned by law.

I don't think many of the reddit moderators so notorious for wanting an echo chamber would advocate it be criminally illegal.
> What should I be using instead of libc? Musl?

musl is an implementation of libc. So if you are using libc, then yeah sure why not.
> Data science & engineering should be treated as a single collection of skill-sets.

This can be tough because there could be a lot in that skill set. You can't realistically expect someone to have solid knowledge of statistics including specialising in the sub-field and type of algorithms that your product needs, and also be able to write good code and act as a developer, and also have solid knowledge of all the tools for data streaming/processing/ETL. There is a point at which you're just stretching yourself too thin if you try to do all of these at once.

Of course, stuff like knowing how to interact with a database or employing good software development practices should be a very basic prerequisite and some scientists certainly shift things too far in the other direction and use their academic knowledge as an excuse to write poor code and not learn new tools.

I guess what I'm trying to say is that they are distinct skills but you still need all of them to some extent and striking the correct balance in one's skillset is really difficult.
Yeah I think a very few but flashy situations, ML is worse results but even fewer programs, so worth it in some sense. The idea the non-programmers should be doing a little something is also very good. Just too the embodiment of that is the mess that is non-programmer Python.
"If nobody knows how to do it safely, then it's fine to cause harm" is a strange way to look at the world. Maybe Facebook should be treated like other companies that sell products that are proven to be dangerous, and they can't operate until they prove it can be done safely.
This same sentiment (which I personally agree with) applies to software engineering. As in: engineers deliver more practical value than comp scientists. Now you can down-vote me to oblivion.
Yes. All studies have limitations. You report them and interpret the results accordingly.
Looks neat. Signed up for the wait list. Not sure I'll wear it as a watch, though, just looks like it my be interesting for some other project(s). Or just something fun to code.
The Pirate Bay Is Pretty Broken but Can Be Coaxed Back to Life
It doesn't matter, as long as you don't make the person with the PhD in biostatistics spend their time writing ETL pipelines, which is a wildly inefficient use of a very expensive resource.
War kills off the healthy, the young, the brave, the stress-resistant and so on. All of these are qualities that can make society better in a context of peace, but are a liability in the context of war from the perspective of the individual. The deformed, the less healthy and those adept at finding loopholes get to stay at home. A war on a massive scale thus has a negative effect on long term fitness.
Google Completes Purchase of Fitbit