skysight-inc/HackerNews huggingface dataset:
Aircraft systems I know don't show the callsign of TCAS targets (although they should be able since it's in the extended mode S reply). I think only iPad based systems in small general aviation typically do that? I've never felt like I missed that information when flying.
My current office pretty much looks like this, except that the walls don't move (I have a standing desk opposite my real desk: https://taoofmac.com/space/blog/2020/07/19/1630).

I quite like this setup, really, although I'd prefer to see some sort of rails (ceiling and floor) to make sure it doesn't topple.
My wife and I need ivf / icsi to get kids. We are now on fifth try.

It gets harder and harder to pull it together...
The problem is how the author frames it in the README: "an experiment to disprove some of the falsehoods about performance and optimisation regarding software and interpreted languages in particular", "unfortunately many programmers [...] spend countless hours by making life harder for themselves in the name of marginal performance gains, often trading many other conveniences (such as type safety)".

Between the heavy use of C libraries and correctness issues (https://github.com/boramalper/pydis/issues/12), I don't see how this project proves that Python is faster or safer than other languages.

That being said, the speed with which it was developed can certainly be seen as Python's strong point.
The interesting thing about workouts is how they can give back energy. I can workout and feel more energetic after the exertion than before.
If their claimed error rate was true then they would in theory meet part of the six sigma criteria, but the claimed rate was an off the cuff remark in one interview and has never been substantiated.
I'm honestly not sure how I feel about it.

On one hand, I agree there is a positive to isolating the worst of social media off on a separate site.

On the other hand, we're (maybe) just starting to see Facebook etc take some action on the worst elements of social media. This subverts that and makes it harder for Facebook to take further action in the future: shareholders will rightfully ask "what if you lose even more users by banning <socially negative thing>".

Also, the bad thing about fb etc is that they just want to sell you advertising. But that's also the good thing, Facebook don't care about your politics, they don't particularly want to influence you as a person, they just want you to click on ads for shit you don't need.

I wonder about other social networks, eventually someone will weaponise one, and sell votes rather than clicks. Is this the start of that? An expressly Conservative social network is much better placed to sell souls than clicks...
aren't they also written in c though
You can be against censorship and also be against the type of racist, xenophobic, sexist etc content you find unchecked on places like Parler, Gab, 4chan.
I was diagnosed with clinical depression at age 7 or 8, over 30 years ago. It's been a long time since I've been clinically depressed. Knowing that I've been through periods of down moods before helps me ride out down periods and keep patiently going through the things I've found help me cope.

I've found that high-intensity workouts several times per week are very important for my mood. St. John's Wort also works very well for me. If I start feeling a bit down, I need to make sure I get out on the weekend and don't let myself sleep in much past 10 a.m. Breathing/mindfulness exercises also help keep my mood steady.
Please explain.

Netflix doesn't carry it in my country.

Star Trek Discovery is awful for many reasons.

How do they intersect?
To be fair, we're all "using" Twitter somehow now. It became impossible to ignore when mainstream news would now lead based on what people have tweeted.

That's the thing: it's become extremely deeply embedded in our society, since it's damn catnip to 24-hour news (which, IMO, was the originator of this problem - they need content, now, and anything which provides is thrown up there).
> I honestly fail to understand

Do you think its possible for you to understand?

Would you want to understand and learn new things?

If you knew that honestly understanding would lead to mental pain and anguish as you literally would have to admit you were wrong in your past judgements and admit your view of the world was wrong, would you still want to understand? Because it will cause you pain. It even might lose you friends. Changing your mind is hard. Learning new things about the way the world works means you have to remove whatever was in that place before and you do that by admitting you were wrong. If you've been on HN for a while you will agree with me that having people admit they were wrong is extremely rare! It hurts.

Most people don't want to understand. It's much easier not to.

I applaud a sincere expression of not understanding, so congratulations! It means that somehow you know that your view of the world is not complete. I would suggest that instead of asking for answers from others which you can disagree with, true understanding requires a fundamental and painful change in your own brain.

Empathy is just one tool to help understand and work out how you were wrong, there are others. It won't mean you start to believe the ideas just that for the first time you will start to see that there are other ideas.

There is potential danger, however, that what caused your initial attachment to a particular view of the world might switch to these other newer ones. Like how an ex-cult member is always the most vocal anti cult activist, or how a recent Vegan is always the most evangelistic about their new way of life. Empathy alone doesn't cause that, but maybe a kind of stockholm syndrome, so take it slow and try not to be overwhelmed.

Even if you feel like you could start to understand, there is also the fear and disgust of the other which you would need to overcome to begin. For many this fear and disgust is so strong it's enough to stop any thoughts of change. (it's why fear and disgust is so often used as a political tool)

I'm not asking you to change and I don't expect you to change. Change hurts. I'm warning you about the dangers of understanding others if you really wanted to understand what's going on which I hope you might.
I've had a lot of what you're describing, down to the exact events. What worked for me was no trick, just deciding to lean into social interaction more and more. When I needed to I would remind myself that more good than bad has come out of me putting myself I'm vulnerable positions, and that "no one really know what they're doing", and we're all socially awkward and trying not to be.

It gets easier - think of the hockey stick curve. Nothing happens for a while, then it seems like it's all happening at once. At this point I have what I'd describe as short-cut mechanisms in my head - where at one point I'd have to talk to myself and convince myself that taking that meeting or saying hi was a good thing with tons of reasons, these days it shortcuts to "just do it" because I've had that conversation with myself so many times. What it's resulted in is me actually responding right away to things, being more open to social interaction, and I'll wholeheartedly say I was right - it's led to more good things than bad, every time.

Hope this helps!
Presumably because it is more understandable and also grabs more attention than calling it hydrinos - small hydrogen with the electron in a lower orbital than the presently accepted ground state.
The main issue with destructors is that it is impossible to determine by reading the code which destructors in which order at which lines may be called. Actually, destructors can be called on every line of C++ code because of exceptions. This complicates understanding code flow and makes almost impossible to write exception-safe C++ code, which properly releases resources at any exception.

While Go supports exception-like panics, they are mostly used for really exceptional cases, when the program cannot proceed further, such as out-of-range slice accces or nil pointer dereference. Almost all these cases are triggered by programming errors, which must be fixed after the panic occurs. Traditional error handling is performed explicitly in Go instead of relying on panics - the error is checked explicitly after function call. This simplifies code reading and makes easy to spot cases with missing or incorrect error handling. These tasks are almost impossible with try/catch error handling.
Not really the question I asked.
Also keep in mind that when you disabled SIPs in 10.15, none of the, at least minor, upgrades, reverted the change.
Well Neil Postman was a friend of McLuhan, and said "I can’t think of a book that I’ve written that I could have written if not for McLuhan". https://mcluhangalaxy.wordpress.com/2012/03/04/neil-postman-...
Ya. This whole post confused me. I thought it was claiming that the Python port was faster. It's too early in the morning.
> As someone who does transit advocacy in a dense city with good transit, it is very frustrating.

While going a bit off topic, the issue I have seen with advocacy groups is that they focus on solving for the median case (eg. 80% of trips are less than 5km) whereas people usually take decisions that work for them in the edge cases (what if i need to take my ageing dad to the hospital on a rainy night, what if i have to take my kid to a far away school for a competition).

To drive real habit change, you have to have good solutions for the edge case - otherwise people will just default to re-using their edge case solution for their median use cases (sunk cost).

In the city I live in for example, even 6-7 years ago, it was essentially impossible to find a cab in the rain. I've personally missed a flight due to a sudden downpour.

With reliable and massive inventory of ride sharing NOW available where i live, I am comfortable living without a car. In my hometown where my parents live (a smaller city which also has a transit system but poor cab service), I still would not do that.
Going to the shooting range and shooting friendly matches between club members.
Fiddling with my home servers (NUC-s).
Eating chocolate.
Running on an elliptical machine.
"A pessimist sees the difficulty in every opportunity; an optimist sees the opportunity in every difficulty." - Winston Churchill.
Calling a vague group of entities 'Big X' isn't as useful as people think. It's not like there is a strong definition, or that everyone identifies the same with it. It's also not helpful to personify a vague group of even more groups (of business entities) and then assume they all had some concerted 'hand to play'.

It's possible that there is some emergent behaviour in markets with large companies and it might even seem like it's a single 'person', but it's not and it makes discussing specifics really hard. Perhaps it's an american thing, but it seems really odd looking from the outside in.
If you only want to visit other people's timelines, you might want to have a look at https://nitter.net

It's a blazing fast way of accessing Twitter content.
Which, for uvloop, somebody already had - for a completely different purpose.

I think most people are usually quite surprised at how concentrated and how generic most hot paths can be. Theres a heavy power law distribution for the linesof code most code spends its time on.
1824 United States presidential election
I’m starting to think that this could actually be good news for left-leaning people. It’s entirely possible that separated from the people they usually fight against, and isolated in their own platform, conservative voices, people who have made careers out of rhetorical conflict, will begin to fight among themselves. and this can only benefit the left.

It’s also very possible that Parler will only go uncensored for so long. At some point, if they get big enough, it could easily become apparent that they’re losing ad revenue by hosting certain opinions, resulting in similar changes to those of Twitter and Facebook
This thing has all kinds of thread safety issues which if were actually addressed would make the implementation significantly larger, and slower. I'm not really sure what the point of this is other than to say that python dicts are pretty fast. But we already knew that
Increasingly, the medium is the tribe. It’s not clear there are solutions to this because aligning on tribal beliefs is how we evolved to survive!
I block based on behavior, not opinions. I follow a lot of people that I disagree with, but we’re all civil with each other.
I've settled with giving automated feedback using a GitHub app I've built [1] that posts a predefined message and closes the issue when a label is applied.

When it's hard to figure out what is being asked, or the bug report does not follow the issue template and there are no clear steps to reproduce the bug, I'll label the issue as `incomplete`, which asks the author to fill out the issue template properly, and closes the issue.

I've also configured labels with messages for common questions [2] or issues that are outside the control of the project, so I can inform people without repeating the same things over and over.

I agree that we should not be expected to provide support, though I find it acceptable for now to post automated messages, when it can help others.

[1] https://github.com/dessant/label-actions

[2] https://github.com/dessant/buster/blob/master/.github/label-...
>but the core issue here is that people are focusing on conspiracy-like theories to explain their loss in elections

Yeah liberals did with Russiagate in 2016, then Trump supporters will probably run with something into 2020. It's a convenient distraction from material policies.
Facebook and Twitter have the right to free speech as well.

But I am assuming that doesn't count in your utopia.
My grandmother has an iPhone and my parents would be baffled if she sent them a voice message.

I'm not denying it's helpful/required for accessibility, I'm just talking about 'in general' large scale use of it (or not).

Maybe it's less about glasses (if you have to find your glasses to type a message I expect you also need to in order to unlock your phone, open the app, and tap the voice message button) for older people than it is about accustom to IM - the brief chatty format is more like a telephone call than a letter.

(But those I've known to use smartphones haven't used voice messages - as distinct from telephone voicemail - anyway, as I said.)
Stick to a Keystone habit. It doesn't matter what it is. Pick something that you can do every day. Walk a mile, read for 30 mins, wake up at 6:30am, or etc. The habit can be tailored to your goals. Then, make sure you stick to it. Do it daily, make it your anchor.
And you should care because...? This isn’t high school.
Sadly the article is obsolete. It's talking about Xilinx ISE, the previous IDE from Xilinx that was retired in 2013. It was already end of life when the article was written.
This is a deeply misleading (though somewhat accurate) comment.

The reason it's misleading is because the 70% above (who may be called data scientists) are not actually data scientists, at best they are data analysts.

In general, the core difference between data scientists and data analysts is that the former can code in at least one language (SQL doesn't count, unfortunately).

However, because the term data science became so popular, everyone re-branded their analyst roles as data scientists leading to this concern.

Additionally, the post I'm replying to is pretty biased, as the OP talks about productionising models. While this is a major facet of DS work, it's not the whole thing. TBH, I can find people to productionise models a lot quicker than I can find people who can figure out what to model, and how to measure it.

Some of those people are most comfortable with Excel, and while I'd prefer they used a different tool, I can't argue with their output.

Also, the OP here is focused on deployment of Python ML models, which again is a subset of a very, very broad field.

That being said, i agree with most of the categorisations, except that the two critical attributes of good data scientists are a strong background in statistics and data common sense.

Data common sense is a weird attribute where when you look at the numbers and see if they are reasonable. For example, if you are running a mobile gaming company and see an ARPU of $5, something has either gone horribly wrong, or you're going to be a billionaire (assuming you have equity).

This attribute is actually not that common amongst DS people, so it tends to be the limiting factor, rather than ability with containers and deployment (which I do agree is very important).
Can you give a brief synopsis about how the federalist society is a conspiracy against democracy? I thought it was about originalism which seems to me to be pro-democracy by maintaining proper separation of powers etc.
German here. From my perspective it's hard to find

- embedded systems programmers, meaning people who know real-time systems, have good C/C++ knowledge, know their way around the Linux kernel and are also able to do basic things with a scope.

- good(!) C++ programmers in general

- people who know devops and software development infrastructure

C++ might not be sexy, but there's a vast amount of legacy software out there which is not going away anytime soon.
While I feel bad that you had people treat you without respect, I don't think turning issues off is a sign of a serious project that should be used by many people in production (even if the project itself is nearly a work of art).

The recent example is Gitea which was forked by a community from Gogs because a single maintainer there was very picky about which issues to resolve, was refusing or taking very long to review PRs etc. I think both Gogs and Gitea coexisting is a very fine example of open-source working. But I think Gitea model is how a non-toy software is to be developed.

I often look at how many issues are labeled 'bug' before considering adding a new dependency to my project as well as check how many old issues are unresolved.

You don't have to resolve all open issues but closing an issue tracker the outright signals "I don't care if you have problems and I do not intend for this software to be maintained in any sense of collaborative fashion here on Github". Above all, such behaviour signals to me that there is only 1 person making commits / merging PRs and they are kind of tired of OSS (which is fine, by the way).
CrossOver (CodeWeavers) optimistic re Rosetta 2 and Apple Silicon support
I think this reveals that the conservative sudden claim for free speech is exactly this kind of hypocrisy?
Chrome Root Program
"Trying." "Trying to monitor all communications on the internet."
Those algorithms can be very good at detecting fraudulent transactions. However, I'm unfamiliar with systems designed to isolate the origin of the fraud. It's not hard trace a stolen card number to a dump of cards sold on the dark web, or the identity of a person using it after the theft, but it is quite hard to figure out how that person came into possession of the card. My subjective impression is that first-party theft + usage of stolen payment credentials is rare--they're usually passed along (sold) to someone else.
But there's been Data Science jobs since at least the 50's.

50-60's: Operations Research
70's: Statistics
80's: KDD (knowledge discovery in databases)
90's: analytics (statistics again)
00's: Data science
10's: ML/AI
20's: ???

The tools and problems may have changed, but the core skills (statistics, some coding and data awareness) are identical.
Lol Ausmalbilder
Can we agree that there is a difference between an on screen nipple or saying fuck on TV and the POTUS actively undermining democracy?

The general talk of free speech and censoring is not really useful here without specifics. Just like someone can't yell 'fire' in a crowded theater, there are other things we are finding that may be similar in nature. I think a more useful discussion could be around the specifics. Should the POTUS be able to communicate anything they want? Should platforms be forced to carry it?
[Telugu]

Carnatic music:

https://www.youtube.com/watch?v=l89ZaBqYiTA

https://www.youtube.com/watch?v=YxvZR3gF9uk

Movie songs:

https://youtu.be/VXKFDk1f4Ns

https://youtu.be/N-J2YjDtBGs

https://youtu.be/3RrA8OOxtkk

https://youtu.be/alm844msx6E

https://youtu.be/1Jh-fsP2Ya8

https://youtu.be/Ha1BQP3ACoc
Understandable.

As I wrote in my last article [0], serverless advocates pushed too much FaaS in the last years.

FaaS is awesome, but should be the last resort, if you throw too many functions at a problem you can easily end up with a distributed monolith, which is often worse than a regular one.

[0] https://dev.to/fllstck/serverless-myths-56dc
First, some context. When I was replying to this thread, there were only three comments, the first said wireless lighting was an useless solution waiting for a problem, another said it was a hobby and not too useful, and only you said it was useful. Hence, it thought it was natural to add some comment under your comment. Furthermore, the original article described how the author designed a Wi-Fi based system, and other readers seemed to have "smart" or "Wi-Fi" lights or lightbulbs in mind when they were expressing their disapproval to wireless lightning, so I thought it was useful to make the point that a remote-controlled light is not necessarily a IoT "smart" light, which constitutes the first paragraph of my reply. And the second paragraph in my reply was my personal opinion to those "Wi-Fi" / "IoT" based lightbulbs - they do have legitimate uses, however they may contain "possible bugs, and privacy concerns" (as in: a Wi-Fi controlled lightbulb with a mobile app), thus "meanwhile I'll keep using my dumb wireless light switch".

I hope my comment makes sense to you now.

> A radio-controlled dumb-switch used this way is still wireless lightning.

Yes, and it was also the point I was trying to make.
That Caphia, wow, can not not pass it

My vision isn’t the best but I can usually manage.
Thanks, on further though this reminds of Strauss–Howe theory [1] that there are generational cycles in history which tend to related to certain archetypes which repeat again and again.

I really do need to look more into Turchin.

EDIT: LOL, I read the Wikipedia article more closely [1] and it seems Turchin has actually talked about this theory, which he feels is more like prophecy than an actual scientific theory.

[1]: https://en.wikipedia.org/wiki/Strauss–Howe_generational_theo...
I think globalization is the cause for depression and anxiety, because we are now competing with 8 billion people and not just "in our local circle". Technology is just an enabler, a window into this global world. If you drop that, I won't doubt that you immediately feel better, but I also think, that you just diminished your chances on the global rat race for the top (eg. FAANGM) jobs. Also: It's a "winner takes it all" (global) world and the world is full of (super positive) surviver ship biased stories, which do not match the reality of most people.
"prepare dinner from scratch" is what everybody else call cooking.

Which is quite an enjoyable activity and not a relic of the past.

Pre made food has been everywhere around you, you just didn't notice.

When was the last time you made your own bacon or olive oil or sugar, pepper, salt, etc etc?

(I grew up in a farm, we made all of that, except for the salt)
Is AI finally closing in on human intelligence?
KDE PinePhone CE and a Peek into the Future
I wonder what Soros says...