skysight-inc/HackerNews huggingface dataset:
See also

Technicals: Non-Standard Tactical Vehicles from the Great Toyota War to modern Special Forces

https://www.ospreypublishing.com/us/technicals-9781472822512...
I mean that if someone asks you questions about code, you can respond intelligently and "think on the fly" about the subject in question. For instance you haven't just memorized something like e.g. the big-O time to access a hash table, but you have reasoning behind it: you know how it works in a few cases, your knowledge about it comes from an understanding of the implementation, and you can extrapolate that knowledge to new cases or variations of the problem, etc. Maybe your knowledge ends at some point but you could keep going if you had to: like maybe you don't know how hash tables interact with page tables or CPU caches but if that starts to matter you would be able to understand it and keep going.

The same way of thinking applies to design patterns (single responsibility principle->but why, and when is it okay to break?) or to architectures (OOP / dependency management -> yes but why? can you make a version yourself? can you work around problems with it?) or to libraries (React components->what are they trying to do? how do you keep that contract simple?) or to languages (JS->what are the tradeoffs? what features do you need? how important is upgrading or polyfilling?) etc.

All beyond-basic intelligence takes this form: not memorization but having a working understanding of how something operates that you can use and apply to new situations and investigate and drill into and wieldy flexible. I would call that "fluency". To be conversationally fluent in a subject is not necessarily to be an expert but to be able to "think" in terms of the concepts, and usually it means you could become an expert if the situation demanded it.
Schemes like this tend to move assets to a better location and otherwise cause widespread restructuring to minimise the loss. Taxation is inherently complicated.
I get what the article is trying to argue for, but using cancer moonshots as his example of what is wrong feels is far less convincing in light of him admitting that he has no idea of how oncology works.
Having worked a bunch of other jobs, SWE is an order of magnitude mentally harder than most other jobs. It's like being a translator, poet, detective, and puzzle solver all at once. And you have to do it all collaboratively with a team of other strong-willed, high IQ, low EQ teammates. With weekly deadline pressure. And management who thinks it's taking too long.

Of course my cousin who is a lawyer at Cravath works like 3x more hours harder than I do. She gets paid like 2.5x more too. They just hire tons of people and let the job weed out the bad ones. Most engineering teams can't do that because we're not trying to squeeze 100 hours a week of work out of our engineers.

Of course, plenty of teams do basic work. But plenty of teams with even basic sounding work have to handle an absolutely huge amount of complexity.
They're not equivalent to Go's goroutines.

Go's goroutines are preemptive (and Go's development team went through a lot of pain to make them such).

Java's lightweight threads aren't.

Java's repeating the same mistakes that Go made (and learned from) 10 years ago.
Well I'm not a doctor. I'm a random commenter with an opinion on the internet. I would recommend people not take "medical advice" from people they don't know. I'm not going to stop sharing my opinion, though.
I feel the need to quote the wiki article on Dirty Laundry:

> Henley's own arrest in 1980 when he was charged with contributing to the delinquency of a minor and possession of marijuana, cocaine, and Quaaludes after a 16-year-old girl overdosed at his Los Angeles home
>javascript coder
The set and settings researchers typically use for usual psych studies are going to bias psychedelic results so much. Think that building you hated in undergrad's crusty unlit cinderblock basement with no windows but coated in cameras and microphones. Its so dystopian, you are literally a caged rat. I don't think you can perform this research in good faith without having experienced a proper trip yourself. It's just impossible to put into words much less gleam any actual understanding from written description of it.

Science needs more Albert Hoffman's who are willing to couple their knowledge with this experience without fear of being fired from IRB violation and ostracized by the scientific community. Otherwise we will forever be grasping in the dark with these drugs.
I mean, you can argue that Margarin is made primarily by capturing CO2 from our atmosphere and energy from the sun.

Some may even claim that you can't believe it's not butter.
I totally get the first point, but this comment from Brian was made when the internet had been available for many, many years. It seems more like it felt newish at the time, and that is how he has seen it since then. I guess that's more why I find it to be an interesting comment.

Regarding the second point, when I hear the term "associative arrays" or "associative lists" I think of them in a pretty high level of abstraction. Like really: a C struct is an association abstraction. A simple array of structs is not often considered an "associative array", but it can easily be used for the same things.

Maybe it would be more accurate to say that the way they were using associative arrays way newish, rather than the construct itself.
That's okay, but it is testing what it says: facility with a particular part of CS that some people have studied and some people haven't. Can't hurt, though, and it's the sort of think that ought to be in everyone's toolbox, although it isn't.
Meta won't bring future multimodal AI models to EU
as opposed to the other millions of smartphone and tablets for just as much if not cheaper with most of it being thrown in the trash due to it being >5 years old?
Oh sure but would you even want to call them "programmers" then?
Yes, exactly.

Using traditional RL is easiest when you're using a landscape with clearly defined rules -- like Go, or Starcraft, or whatever. The trouble is those games don't translate well to other domains -- it can learn about risk and reward and whatnot from Chess, but it can't become a better chatbot.

But if the game space can operate through the realm of language and semantics, then the hope is that we can tap into the adversarial growth curve, but for LLMs.

As you note, this only works for situations where we can clearly say "winner" or "loser". In OpenAI's case, they use correctness of the math problem as one W/L metric (discrete and measurable) as well as whether the Verifier was able to correctly identify the answer as correct (thus the understandability of the answer is also discrete and measurable).

In the SPAG paper, they chose the game of "Taboo" as a way to discretely measure W/L (asking: "did the defender say the secret word or not").

As you noted, it's hard and expensive to codify the rules of life. How do we objectively determine whether one poem is more beautiful than another? I think we're a long way from that.

The breakthrough that the SPAG paper showed is that -- by teaching the models to be better at games that involve language and semantics -- that they get better at language-oriented tasks _overall_.

And that possibility excites me.

Sadly, as I've read further into the paper released by OpenAI, it doesn't appear that adversarial training for explainability increased the accuracy of the model -- and while it was more understandable / verifiable, it wasn't any better.

I think a very interesting metric would be to measure the accuracy of the fine-tuned models on unrelated tasks to see if the lessons learned to be better at explaining math problems would help the model perform better for explaining other problems (such as logic or reasoning).
Because people don’t like to read the articles and I think it’s worth knowing…

Trump and the GOP already tried doing this in the last admin.

He tried to appoint the CEO of AccuWeather, who publically lobbied against NOAA, to the head of NOAA.
Right, the headline gave the appropriate context for the interview in a short sentence. Not everyone knows Kernighan created awk, as opposed to a respected person that happens to have opinions on awk.
The device is really neat. The web site is shit. Good grief, I can't even put into words how much I hate having UI/UX like this.
I don't have a favorite, because no single question is very useful all by itself. My interview style also tends to be conversational rather than Q-and-A, so the questions I ask tend to vary according to the candidate.

But two questions that I nearly always ask are: tell me about a project you did (personal or professional) that you found very exciting, with a followup question of "what about it got you excited?"; and tell me about a project you did (personal or professional) that went sideways. This one often has a followup question of "how did you deal with it?"

Neither question has a right or wrong answer. Well, I fib a little. A wrong answer to the "what went sideways" question is "I can't think of one". The only way that can actually be true is if the candidate is very inexperienced.
What can TypeScript learn from Zig? What can Zig learn from TypeScript?
Get in front of 50k enterprise executives
Thanks for that PSA. And here's to your lost friend!

I have a lost one too, but due to a different cause. He took hard drugs he was dealing to pay off a house after a legislative decision basically eliminated his well paying job. We grew up very much do what it fucking takes kind of people. And we were tested in life more than once. I still draw from that time today, sometimes remembering and finding that which will get me through. I miss him terribly.

Had he not used, he would have made it! We talked about that, and he used "a little" to know better what he was dealing. Now we all make choices and he made his. At the time, financially, it was understandable, though I would have chosen differently myself.

Anyhow... hard lessons!

Lost him in my very early 30's and I think of him regularly, as I am sure you do yours. What got him was the loss of autonomous breathing! Yes, right out of Greek mythos, he suddenly had to breathe consciously after a particularly nasty interaction with some of the product and his physiology.

It truly was a curse. Bit by bit, he lost the fight. Was cruel and hard to watch.

Sidebar: I am angered and lament the timing because I very strongly feel some form of electrical stimulation could have helped. I lacked means at the time. We both really wanted to try. Doctors had nothing.

End sidebar.

These drugs have awesome potential, but they also come with considerably greater risks than many of us know too.

Good PSA. Seconded.

Be careful peeps. We think we understand. Fact is we just don't yet.

And that will improve with proper study using the scientific method.

If you ask me, cutting those risks is the single most powerful argument for permitting ongoing research and study of the powerful things left for us in Mother Natures kitchen.
Absolutely disgusting. Money above of any form or morality.
How to Fix America's Broken Air-Traffic Control System
> Man who hates that his trans child hates him angry

These are very strong accusations. Do you have a reference or is this just an emotional response?
Neural network RTNet exhibits the signatures of human perceptual decision-making
>a hardware company

They are pseudonymous individual(s) promising a piece of molded plastic. This is marketing, not technology. As such, you'd expect them to know how to put together a website that sells.

Northrop Grumman is a hardware company.
>Old adages sometimes stick around forever though- especially when there is money to be made in keeping them alive.

Don't forget to make your swap space double the size of your ram!
Oracle Goes Massively Parallel, Low Cost with Exadata Exascale
plug, install then play, I got 3 different Nvidia GPU sets and all running without any issue, nothing crazy to do but follow installation instructions.
Part of the lesson of this story is the danger of having a gun in the home at all. He could have been sober and depressed and did the same just as easily thanks to having access to a gun. There's a lot of statistical evidence for how dangerous situations like depression or domestic violence can become once a gun is nearby.
They (DNC leadership) are already pushing him onto the ballot before the convention under the guise of meeting the Ohio ballot requirement, while ignoring that Ohio gave them an exception for the convention.

https://www.axios.com/2024/07/16/biden-dnc-vote-nomination-s...
> And in some cases sent it to their servers.

Where do you see that they're sending it to their servers? The article doesn't say that WiFi names were sent to the servers.

> You're also going out of your way to defend Rabbit in this thread, with several multi-paragraph posts rebutting the same things. If they're not paying you, they certainly should be.

No, I'm just correcting misinformation in this comment section. Some people are apparently only here to pile on Rabbit regardless of the truth, but the rest of us are actually curious about the facts of the situation.
It all makes sense once you consider a tech company to be a money printer.

Once the initial builders have built it, it will keep on printing money barring some absolute mismanagement. This attracts the grifters, the useless people, the talkers, you know the type. These people don’t care about building. They don’t care about the product. They care about their own self-interests and the money printer is a way to advance those interests.

The inevitable end result? Enshittification.

The only way to avoid this is to have an actual engineer as CEO. See Meta, Tesla, Nvidia
For varying definitions of "new". It supports Turing and up, which was released in 2018 with the 20xx line. That's two generations back at this point.
I will change my projects to use pyproject.toml and remove all the requirements.txt. Looking forward to changing it again for py_requirements.yatxml in 5 years
> The trick with “behavioral interview” is there are no true good answers. They want to watch you squirm.

This gave me flashbacks to my first interview for a developer role at a large corporation.

I swear the hiring manager didn't even listen to my answer to his "hard workplace moments question", he just immediately told me that I hadn't really answered it. I asked him for clarification then gave another significantly different scenario with a totally different outcome that I thought answered the question pretty well. This time he said "that sounds like the same situation as before. Why did you let it happen again?" At that point I froze: I'm not the most emotionally intelligent person but I can usually sense when people are messing with me.

(Never mind that my autobiographical memory is very impaired thanks to the aphantasia, these questions are an extreme lift)

My conclusion was that he didn't really care much about an earnest discussion of "hard workplace moments" as much as he cared to mess with my head and see how I'd react when faced with frustrating large-corporation power dynamics that are common from day to day.

In hindsight, I think if I wanted to pass that part of the interview I'd have needed to calmly show a little more assertiveness and confidence myself rather than freezing up in the face of simulated everyday workplace gaslighting.

At the following interviews people seemed lethargic, anxious and detached. When I didn't get an offer I was actually pretty relieved.
Texas is the largest wind producing state in the united States.
To be clear, the main animating force in Elon's life over the last few years is his oldest coming out as trans. That's why he bought Twitter and turned it into a nonstop Klan rally, that's why he supports Trump, that's why he opposes this law. His first-born is trans.
> I highly doubt that. I would guess that income and age would be much better predictors for example.

I'm talking about predictors of wealth for a new person. The age and income are both zero. If you have their income - you probably have their wealth already as well - nothing to predict.

And for the record, coming from wealth is the strongest predictor of future wealth. [0][1]

> I would, if the other option was death.

But you have no choice/option in my hypothetical scenario - you're born a slave and you die...

> Regardless, I doubt any of them would still rule the world had they not died of old age.

Really.... ? Why? All of the people I mentioned, maintained and grew their wealth/power their entire life up until their death. Having power/wealth is just a huge advantage if you're trying to gain/maintain power/wealth.

[0] https://www.ctpublic.org/education/2019-05-15/georgetown-stu...
[1] https://www.cnbc.com/2019/05/29/study-to-succeed-in-america-...
Professionally, I’ve never used anything most LC problems would signal for. I have libraries for that.
> If you type the name of a thing, Google can quickly find its official website.

with five ads before it pretending to be its official website
This guy is definitely giving delulu vibes but I think there's some truth to the idea that there are inequities in the market. People who work at FAANGs will often make more money and do less work than the foreign contractors in places like Poland and Ukraine getting paid $35k a year for the same work. It's worth talking about because I honestly don't understand why bay area engineers are paid 3 times as much as their European counterparts or 6 times as much as their co-workers in India. Offshoring should work but it often doesn't.
Modeling a Wealth Tax (2020)
I wonder if there is a chance employees would actually be in favor of that.

Considering that the high taxes also affects them and there is also the increasing criminality problem
It puts food on the table for pharmaceutical execs, and any hospital execs who offer a cure when their competitors dont
That was the "classic" drivers.

The new open source ones effectively move majority of the OS-agnostic component to run as blob on-GPU.
> Would it be better to have an op-out database, where you have to log in with a Google account, and prove that you own the device somehow using geolocation?

Why not the same thing, but opt-in rather than opt-out?
Yes, but there is a bit of a problem when things change and there are mismatched expectations. The employers are probably feeling a bit risk-averse right now, while the potential employees are getting desperate.
web programming is probably on the 3rd or 4th rank of what python is used for nowadays

Also, you don't really need to "learn" python. I mean, if you have been in this industry for long enough, it's the kind of languages that you can pick up in 1 afternoon. That's just how basic and easy it is. That's why it's so popular despite all its flaws. Like I'm sure you somehow already know python, even if you never used it.
It's rare that you will be working for that interviewer. Much more likely this is just one of the juniors, one of the team, that you may work "with" but not "for". They still matter, as soft skill, because they will give a thumbs up or down to the boss or to the rest of the committee, and they can make up any reason for it that they want. And do you want the company to offer you the job or not?

But yeah, if you get to interview with the boss and they are a problem for you, then that does matter.

Also you are in a better situation if you get the job offer - they want you -, and let it go because you learned about them - and you don't want them anymore. Get the offer.
Microsoft Is Silently Reversing Some OneDrive Enshittification in Windows 11
I agree, but I don't think it's equally comparable, and food is too damn expensive to trust most of the time anyway; I feel robbed when I spend $30 on a bad meal.

Although $30 for a meal is the same general benchmark I use, $30 isn't as easy to come by these days, and uses physical resources and a logistics chain to get the raw material and do anything with it. The value is concrete, and time us put into each individual product at time of purchase. You don't buy a burger and wonder if you'll get calories from it.
With a productivity app, it's worth more if it's worth more, but it's not inherently worth anything as a more abstract intangible good.

~$30-50 is just the value I can imagine deriving from this specific category of app, but everyone's mileage is different. This app would not enable me to do design or development, it's an optimization on a specific corner of my workflow, which is valuable but not immensely valuable, and it's hard to bet on without the previous one being incredible. I love narrow-focus thoughtfully designed software, and pay periodically around that price for Dash, TripMode, Affinity, and various games. Would I pay double or quadruple? Probably not, because I'm fine working around the issue and using the rest of the money for food or other tools that supplement my flow.
Doesn’t niacin lead to prettt severe hot flashes / flushing of the face and extremities? I know someone who was told to take it for cholesterol (I think) and it sounded painful!
I have no experience with those, to be honest. But I feel like they have a similar effect. Considering Ketamine is used for similar purposes.
It helps that since English is the lingua franca, people tend to be kind of used to interacting with those who don't speak it perfectly. Plus even those who don't functionally speak it likely know enough words to convey things in a pinch through either loan words or osmosis through media.
OTOH, Bitcoin can be subject to liquidity crises which no entity could intervene to resolve.
Firefox for Android here, it's a strobing mess. I have to purposely and very slowly scroll and wait for frames/images(?) to load in order to get any kind of cohesive experience/information out of the site. I think the product is really neat and I love the idea, but the site is insufferable.
I loved his articles in the ACM. They are collected in a book called Programming Pearls (https://www.amazon.com/Programming-Pearls-2nd-Jon-Bentley/dp...) I also liked his second book More:Programming Pearls (https://www.amazon.com/More-Programming-Pearls-Confessions-C...)

Some of the same articles, but with updates and added reader comments.

(I posted Amazon, but there is a ton on the used market)
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I think there’s another group: people who can come up with solid code by using search tools.

I code, sure, but I will never come up with a custom solution for any non trivial problem. I know where to find appropriate solutions (the best ones) because I’m aware of what I don’t know (I read a lot of tech books). You cannot test this in the classic tech interview (because I would googling 75% of the time).

The final result is: you want good code or not? How I come up with it should be secondary.