skysight-inc/HackerNews huggingface dataset:
I’m sure you’re aware that FAANG take extreme measures to prevent union representation or membership in their companies.

Obviously you’re your own person, I recognise that we should unionise, but selfishly I would be concerned with potential blowback; maybe you don’t pass probation somehow.

If you’re intent on doing this, I heard decent things about prospect: https://prospect.org.uk/tech-workers/

In Sweden it would be unionen, but unions are usually country dependent (for obvious reasons)
>I just wish we would have a stable DE and Toolkit that only receives bug-fixes and nothing else.

This is how it already is for MATE as long as they intend to keep it that way. It uses GTK3, which is currently in maintenance mode, and will only receive bug-fixes and nothing else.
Persistent Disk read latency is usually good, but jitters up to 100ms. The scheduler can compensate for high latency (essentially applying Little's Law) but cannot compensate for jitter without saturating the disk.
99% of people have bad form, because nobody showed them good form. 1 set of 50lb dumbbells on shoulder press with no warm up & bad form, by a middle aged dad with no gym experience, can def mess up a rotator cuff.
The poster didn't imply that from what I understand.

It's response to links training methodologies that solely focus on the gym and calories. As such is saying "there is more then the gym and calories". and you seem to agree with that statement. that was the context of the comment, and looks like you missed it.
Using 10lbs for shoulder press does absolutely nothing for your fitness. Even 50lbs barely does anything unless you are completely untrained.

And 10 reps is not low reps either. It's on the upper end of what people usually use in their workouts.
GTK was not rewritten from scratch. Each major release has been an incremental improvement.
This would be the main reason for joining a union (legal support and resume or contract advice) as a developer.

Research their public profiles: my impression is that some are very much in the “employee advocacy” space (providing enterprise bargaining where appropriate), whereas emerging tech unions in the US (particularly those aligned with specific FAANGs) appear to be more about pushing a particular political line than worker representation and support.
> The workload is branch rich so SIMD/SIMT is not possible

Just because there’re many branches doesn’t mean SIMD/SIMT ain’t possible or too slow.

I recently needed to solve a problem where I wanted to traverse a tree, computing something for every node, and deciding whether to descend or skip nodes based on results of some computations. Obviously branch rich, but modern GPUs weren’t too bad at that use case. My compute shader has a main loop like the following HLSL.

ByteAddressBuffer tree: register( t0 );
for( uint state = 0; state != UINT_MAX; )
{
const uint2 nodeHeader = tree.Load2( state ); // [ child, next ]
if( shouldDescend( state + 8 ) )
{
// Need to go deeper, compute something for that node
state = nodeHeader.x;
}
else
{
// Skipping the child, compute something else here
state = nodeHeader.y;
}
}
I like the regex example, but the others wouldn't pass code review from me, unfortunately. Reducing a couple lines isn't worth the code being less obvious.
I didn't realize it was my responsibility to find these people employment. I especially didn't realize I needed to keep paying for a car, consuming gasoline and destroying Earth's biosphere, contributing to smog, and wasting my time so that these people will stay employed. Maybe, just maybe, our system needs a top-down reevaluation and maybe we can find other ways to house, clothe, and feed people who don't have jobs. Or maybe we realize there's other, more important work, for these folks to be doing.
One word. Virtualenv.
Companies that have unions are on a one way path to oblivion as only the bottom of the barrel will want to work with the low performers unions protect.

The time it takes will vary depending on the rate of change of the industry, but they are doomed.

In tech, things change quickly.
WeWork is a great product because it is a subsidized offering in a competitive market. The piles of VC cash that were thrown into WeWork spaces are things that Regus and other competitors cannot do, because they have to make money.

Competing with WeWork in office space is like competing with Saudi Arabia in oil production: the Saudis have slave labor keeping oil prices down, and WeWork has VC cash keeping their office prices down. However, this doesn't mean that WeWork will ever turn the corner to repay investors the billions they have lost on it.
I am a Google Local Guide level 6, and I was able to modify locations in the past for places I lived at, my friend's house and places I've visited, Google usually approved those within a couple of days.

I suggest you find a Local Guide with a high level that can make those modifications for you, Google is likely to accept theirs.
Then why does the notch exist? And compared to what is it crap, webcams have always been utter shit if you compare it to smartphones or dedicated video cameras.

If I look at a review comparing the Intel based Mac webcam and the 14 inch Macbook pro webcam you see how insanely better it is: https://www.tomsguide.com/reviews/macbook-pro-2021-14-inch
Numerical stability is a nightmare for the winding number algorithm. I've spent about 2 years on it already, but I believe I've managed to make it work. I used the paper from Eric Lengyel which worked it out with quadratic and extended it to cubics. I kept the topology classification strategy, but had to work out a different solution for the analytical resolution stitching. I'm planning to write about it; this serie of math articles are actually building up the foundations I need to explain it.

I'd be happy to discuss it though.
Show HN: A precision platformer game inspired by Celeste
Doing a trial project together is a wise move as entering into a partnership to build a business requires a leap of faith; whatever you could rely on to derisk would help.
I'm in a similar position right now, maybe we could connect and see if there's any common ground?
From what I hear from my Indian friends, this behaviour is quite ingrained. Like other racism, it will be challenging to prove.
The screen size is the only real limitation for me when using my M1 Air. The keyboard is pretty decent, the trackpad is just right, and the form factor is wonderful.

There is a noticeable loss in human productivity by not having a separate large monitor (and sometimes also a nice external keyboard+mouse). However, I find that the small screen constraint can be beneficial sometimes as it forces me to approach my work a bit differently. I would say it's a bit like how changing my scenery or routine temporarily can recharge me.
> Once or many matters because if you just examine each data point one, there can be no overfitting in the traditional sense.

What makes you so sure? If my algorithm was literally just storing stuff in a hashtable to look up later, you'd get overfitting from a single exposure.
last change to that repo are four years ago ?

where are changes actually done for real working servers now?
I prefer to use the approach "learn as you go". There's nothing to block someone from learning some basics, a library like Scikit Learn and then learn by doing examples.

But if anyone wants to become an expert into ML/DS, learning statistics and probability is fundamental. Books like A First Course in Probability, Introduction to Statistical Learning and Elements of Statistical Learning, to name a few, are very important.

A lot of the mistakes done in practice are based on a lack of understanding in sampling techniques, how statistical metrics can be misleading and so on.

First thing I learned in statistics is the difference between quantitative and qualitative information. If someone knows this before hopping into Kaggle, they know that categorical features can't be used as continuous features.
greece https://gov.gr explicity mimicks the UK style

On that note, i expect in the coming years some UK startup will be selling "government as a service"
> On highways, the number of human injuries is a lot lower than you think.

Sure, but it's not zero.
laughs in NASA.

https://aws.amazon.com/blogs/publicsector/tag/nasa/

First hand experience here.
Because he lives somewhere cheap and can.

I see people all the time complaining about salaries being different based on location and how it’s wrong. I actually don’t mind it. I live in a LCOL area and work for a Bay Area company. I don’t get paid as much as my SF colleagues but I make so much more than anyone around here that it doesn’t matter.

At some level I wonder if people in SF are worried about people like me and the above poster because we’re stealing jobs by being cheap.

Anyways, I’ll always be remote. There is no other option. I’m damn sure not moving to California.
> Why would you punish an employee

It's a free market so the employee can go to another company that has a better benefits package, as you implied. It happens all the time, although I would guess that higher pay is a greater incentive than more vacation days (in the US, anyway).

And yeah, an employer has the option to give great full benefits from day one if they think it benefits their company. That happens all the time, too.

Another example in the US that you probably won't like: as a benefit, your employer normally matches a percentage of 401k retirement contributions. But, if you quit you won't get the full amount they matched unless you're fully vested (normally takes at least 2 or 3 years). Rather than striking or unionizing for better benefits, I would rather decouple 401k from employers completely.

For health care, the current situation already stinks. Companies reevaluate their health care plan every year and frequently hop to new providers/plans in order to cut costs. In the meantime employee benefits are always changing. It's not based on tenure, either, so you don't have a sure way to predict what your health care costs will be next year. I would prefer to also decouple health insurance from employers completely.

I bet most employers would prefer not to have to deal with health insurance providers and 401k plan providers anyway.
Preview works this way on Macs for some reason. Close all my preview windows and the app itself disappears from the app switcher. I assume it self-quits.
If you go to the gym, you pretty much have to get into the habit of going every day, and around the same time every day. Eventually you get to the point where missing a day (on purpose or otherwise) gives you the feeling that you've forgotten to do something.

That doesn't mean you have to have a significant workout each time you go - 30 minutes on an exercise bike with low resistance won't significantly impact recovery times if you're focusing on strength training, but it'll still get you to the gym and help reinforce the practice that it's a normal part of your day.
The flip side is that bias is a heuristic to try and boost signal to noise ratio. Well i'm sure that would reduce bias, i'd worry about the consequences for the signal to noise ratio.
Americans absolutely need more education on calories.

If you're going to eat processed junk food, you should at least eat less of it. That's step 1.
100% this - it allows the author to get away with posting what is otherwise a total fluff piece promoting their website.

Without hard data, interesting anecdotes and other facts the post won't gain as much traction on sites like HN/Twitter etc.
Not hiring indians wouldn't solve or improve anything
In the companies I've worked for matters of significant importance are addressed with "@here" in Slack. E-mail is used to communicate with external vendors
Obvious troll account, looking at the comments
Jonathan Blow on backdoors and cybersecurity (2021)
It wasn't even 30 minutes ago that I read someone defending a nuclear war as it would (paraphrasing) "solve the problem of overpopulation while also taking down some commies".
You Need an API Layer and How to Built It in React
Learn what an API layer is, some of the many benefits it can provide to your architecture, and how to implement it in React.
I really like the thought of doing 6 curls a day. Yet I go into the comments and people here are talking of doing 5 minutes of curls every 30 minutes, which sounds insane.
United Tech & Allied Workers: https://utaw.tech which is a subsidiary of the communications union (CWU)
In the UK, 'legal expenses' covers that you might have as part of your car or home insurance may often cover some employment-related legal issues.

You might also put the 15-20 quid a month that an union membership costs into a fund to cover any lawyer consultations (which, let's be honest, are rare).

Lastly, note that as part of redundancy settlement agreements the employer will often pay for your independent legal advice.
Volt Protocol founder Kirk Hutchinson talks monetary history, stablecoins, and the future of money.
It’s still true when you’re young! Youth compensates for bad diet, but it also accelerated the positive effects of good diet & exercise.
> Two similar people can consume precisely the same number of calories and have the same level of physical fitness and physical activity and have different outcomes.

You are trying to find a loophole here that doesn't exist. If two people burn the same amount of energy E_O ("out") and take in the same amount of energy E_I ("in") with E_I < E_O, then both of them must take those calories from somewhere else in their body and must therefore undergo weight loss. There is no way around that.

Now, notably you didn't specify E_O, you only said

> the same level of physical fitness and physical activity

which can mean a lot of things.

All the supposed loopholes work in exactly the same way: It might not be entirely clear what the values of E_I and E_O are, so "calories in, calories out must be wrong". (Which, again, is impossible because it's just conservation of energy, i.e. a law of physics.)

In any case, just like you can bound E_I from above by counting calories, there are ways to constrain E_O from below: If both people have the same mass (say 100kg) and walk up the staircase in one of the towers of Cologne cathedral (~150m), then they will both have spent at least E_O >= 100kg * 150m * 10m/s² = 150,000 J.
Space-Shooter.c Ported to WebAssembly/Emscripten
Ahh, I see.

You know that your employer does not need a warrant to look at what you might think of as "your email" right?
Gomemlimit (Go 1.19) is a game-changer for high-memory applications
Hi, the author and long-time Go user here. Let me know if you have any questions. For me the introduction of GOMEMLIMIT finally makes Go a viable choice for high-heap applications. No longer do we have to worry about running OOM with 50%+1Byte of long-lived memory allocated.
We’re just desensitised to motor vehicle accidents. Self driving car accidents are still novel. A million people killed worldwide per year in motor vehicle accidents is just a statistic.
I got to interview Liran Tal, security researcher, about the current status of the security within the JavaScript ecosystem.
Turns out, there are quite a few problems we still need to figure out and solve. The supply chain attacks are very dangerous, specially if developers ignore the threat altogether.

Do you think Deno solves some of these issues through its permissions sheme?
UG also stands for unlautere Geschäfte, dishonest dealings ;)
IF you try to understand it from the regulators perspective, it totally makes sense. You see, the law is written for legibility, not for variation, and rightly so. $15k cash in the bank is easier to understand than $300k in ETFs. Your $300k ETF might be stable or it might fall below the value of $15k over 6 months (not likely but government officials are not in the business of investigating the stability of individual ETFs). An old HN comment about makes this point about “legibility” well:

“To the state, one of the most important goals is legibility. The state has an enormous burden of regulation in its various enterprises, and the less variance the easier the job. This certainly isn’t ideal in many, many cases, but in this case a person who likely didn’t make the standards quite rationally trusts a vetted standard over one small trivial test given to them by a company they’re evaluating. FIPs standards are probably much more exhaustive than just a hashing performance test on one piece of hardware.”

https://news.ycombinator.com/item?id=25543818
The translation is accurate. "Bei Level-2-Fahrzeugen bleibt die Fahrerin oder der Fahrer grundsätzlich immer in der Verantwortung." can be translated this way. The only nit I would pick is about the translation of "grundsaetzlich" by "as a matter of principle", it could also be read to mean "generally", "usually", "always" or "basically". In this case, they probably wanted to say "always", but there would also be the legalistic meaning of "grundsaetzlich" which is "normally, but with exceptions".

All in all, no matter the above nits, they are obviously trying to shift blame away from their vehicle.
Most likely apple has nothing to lose by doing this.

Where they do have something to lose: Taiwan v China politics - they side with China so they don't lose, going completely against any principled stand.

Source: https://www.theguardian.com/technology/2022/aug/07/apple-ask...
Influencing Large Change with Little to No Authority
I think your metaphor kinda plays against your point.

Years and years ago in the movie universe, Luke had to painfully learn to use his lightsaber from a mentor who passed down techniques and philosophy to the student.

In the current day of the movies, lightsabers are understood to be powerful, yet temperamental and exotic, weapons. Mildly trained individuals can use them, even if it's to a limited extent (i.e. flick switch; shiny side is the business end; heat bad, ouch, no touch).

To belabor the metaphor, you've also had a tradition of people, from all walks of life, using vibroblades (basic to advanced standard statistical analysis and regression) in order to achieve some level of parity against users of lightsabers.
Might be interesting to compare this to the Lunar Mapping and Modeling Project and other attempts by NASA to combine moon observations. This claims to be the most detailed map available, but how exactly this compares to NASA's combined data sets isn't obvious.
Primordial Black Holes Might Explain Dark Matter
The bureaucracy can be a good thing, because it also makes it harder for the government to get information on its citizens, and I think this is deliberate after WW2. Making it hard to exchange information is annoying (I've heard fax machines were still in use during the corona pandemic) but serves as an additional layer of protection from hostile governments. Time will tell if digitizing everything in for instance Denmark (my country) was a good idea.

Number 3 is the same in Denmark. You can almost double your salary if you work for the private sector.
Court upholds FCC’s decision on 5.9 GHz, Wi-Fi
I can't/can believe this and they make it seem like its a normal practice from your story. Pretty awful.

I left GD years ago after this - https://science.time.com/2011/04/04/godaddy-ceo-on-shooting-...

Not only did I hate their interface like you mentioned. Their customer service always sucked too. I moved a lot of TLDs off of there at my old job. Happy to say all the other companies I have used have been above and beyond better than GoDaddy.

Do some research and you'll find some great deals out there. Cloudflare, Hover, NameCheap offer great services IMO. Never had any issues with them.
How does it work with peering/VPN?
I love wfh but that sounds like a personal problem… you self selected a commute that is in the 99.9th percentile of long commutes
If you explain more about the problem, I can probably write a SIMD implementation. Most "branch rich integer instruction" algorithms such as e.g. running a billion different Miller Rabin tests can be made into SIMD algorithms that use almost no branches. This conversion will give you the throughput benefits of not having a bunch of hard-to-predict branches constantly causing pipeline flushes *and* the throughput benefits of SIMD.

> The workload is memory bound not compute bound.

I don't think so? How many gigabytes per second per core are you processing?

Edit: If for some reason you can talk about this problem to random SIMD programmers online privately but you cannot post about this problem publicly, please add your contact information to your profile or your post.
>Window manager support for some common messages/hints (ala EWMH) so that the window manager is responsible for telling applications how to scale

Adding this to X window managers would be a flawed and inferior experience, this method would only work correctly with composited X or with XWayland.

>For example i prefer to have tearing on my desktop... In all cases, tearing is controllable through the vblank_mode setting via the .drirc file in your home directory

>Well, yes, it is your problem

This is also doing the same thing that the parent post is asking you not to do. It is not moving the discussion forward. The rest of your comment has very little in the way of meaningful suggestions that I can parse, you could have edited it down to maybe 4 or 5 sentences and gotten your point across.
KDE has most of those features, especially with wayfire.
I work in ML - I might make 3 buckets for ML careers right now:

1. ML/DL Researcher

2. Data scientist - 20/80 engineering vs modelling

3. ML Eng - 50/50 (or 70/30) engineering vs modelling

People suggesting working in engineering to support ML are right that there's a lot of demand, but it's not what you're asking for.

Becoming an ML/DL researcher working on novel techniques or new models will be hard without academic research experience. Few companies are big enough to support true research, and the ones that are have a very high bar even for people with PHDs

What I call "data scientists" apply math/ML to real problems. The people I see here have a quantitative background like physics/math/CS. Often they have more general quantitative skills that go beyond ML. People like this will might work on things like fraud where an eng pipeline exists and small improvements in the model are valuable.

There are more of these roles than "true research" and they exist at small companies because it's applied. You can get into this with demonstrated evidence in side projects + a convincing background, but professional education might be the most sure way.

Finally - there's a lot of demand for engineers who can do both modeling and the requisite engineering. A model is a small part of what goes into a production ML feature - you need a data pipeline, automated retraining/prediction, a place to deploy the model, monitoring on eng stats + data stats, and the usual application backend/frontend to do something with the results.

You might be able to get into this with some demonstrated experience in side projects assuming you're a SWE already, and depending on your standards for where you want to work.
Iirc FIOS in at least my area is getting v6 this year
looks the other way when Indian director has all Indian SDMs reporting to him

It’s all lip service. Nepotism is rampant at FAANG