skysight-inc/HackerNews huggingface dataset:
All useful technologies replace old types of production that require labor and replace it with new types of production that require less labor. There are new jobs created but much less of them for that type, what the general consequences and if there will be mroe jobs created in other novel types of production is anybody's guess.
Why Be Pure?
Because loss != quality. This was one of the most counterintuitive discoveries in ML for me. People treat the two as interchangeable, and to a certain extent — a controlled extent — they are.

But if your dataset doesn’t include a word about Captain Picard, no amount of training will get it to know about the USS enterprise. Yet your loss metrics will still reach that magical 2.1 value with time. (2.1 is pretty much “excellent” quality; below that means you’re probably overfitting and need a bigger dataset.)

Thanks for the comment friendo. I wasn’t sure if this would get any attention at all, but that made it worth it. Be sure to DM me on Twitter if you’d like to chat about anything ML related: basic questions are one of my favorite things to assist with too, so feel free.
Paul Graham surely didn't think social media would drive up teenage depression when investing at social media. It's hard to find any value in investors' words in these topics. Massive conflict of interest. It's that %0.1 trying to persuade %99.9.
> what is the advantage of garbage collection over just reference counting?

One day a student came to Moon and said, "I understand how to make a better garbage collector. We must keep a reference count of the pointers to each cons." Moon patiently told the student the following story:

"One day a student came to Moon and said, `I understand how to make a better garbage collector . . . '"

Danny Hillis
Django Anti-Patterns: Signals (2017)
my ex is Tarahumara and had a similar experience. It's also true of the dogs of Buenos Aires. (in fairness though: I am not a fan of the lack of spaying/neutering that predominates in Latin and Mediterranean countries).
It's trained on data crawled from the web, using CommonCrawl among other sources. See https://github.com/openai/following-instructions-human-feedb.... CommonCrawl certainly respects robots.txt, and I assume the other sources do too.
I did not read the paper in detail, but it’s not clear to me that the lack of gene flow can be ruled out. In inhabited areas people constantly introduce new genetics from the outside. Maybe the Chernobyl dogs are primarily genetically distinct because there has been very limited gene flow for over three decades. I still expect radiation would have played a large role amongst many other selective forces.
But I don't want to turn it off. We got a useful warning about a nearby fire causing soot (this is in The Netherlands), allowing us to close our windows timely.
You already nailed it. Use the three prong plug. If you don’t, stray voltages can occur on the metal casing of your device. I also learned that some usb-c cables connect ground to your device (via the charger) and some don‘t. It‘s not as universal as it is marketed.

EDIT: Your neutral is probably ok.
An elaboration on Sokoban with influences from Wordle and other modern micro-content
The sweep phase scales with the number of dead objects.

Copying collectors have the property of scaling with the number of surviving objects, which makes them suitable for the first generation (nursery).
It appears to blockquote to me?
Will they ever fix their newer thinkpads throttling like hell on Linux (and even windows, actually)?
I remember the audible ‘clunk’ of the relays snapping in on those old pass through cards. Always the sound of a good time. Remember seeing a guy at a lan party carrying his whole box by the pass through cable one too, that made a few people wince.
Apparently the vernacular these days is 「スマホ馬鹿」, “Smart Phone“ idiot. Same principle, different device.
After 10 years using all of them, in about 50 companies (as a freelancer) with various constraints, contexts, systems and skillsets involved, here are my definitive conclusions:

- stick to regular python installers from python.org if you can. Don't use homebrew, pyenv, conda, the windows store, asdf, etc. They have subtle and least subtle variations that will bite you.

- always use "-m" when you run a python tool, even in venv. This will let you be explicit about which python you use. On windows, use the "py" command to create the venv. No need for pyenv.

- if you are in linux, research how to install python seriously. If the command is simple, you probably got it wrong. E.g: Ubuntu has 3 packages to install, not one. People giving you a one true way are lying to you. Pyenv is a trap.

- learn to use basic venv and pip. Never do something outside of a venv, even for small scripts. You can have one big venv for all your small scripts. Don't even install black outside of a venv. You can get very far with just that. Forget about pipx.

- if you want to have better tooling, use pip-tools. Not pipenv. Not poetry. Not flint. Not pdm. Not anything else. They will fail you. Pip-tools is just good enough and just reliable enough. Embrace manual venv handling. It's not a big deal. Automated tools will betray you.

- learn to be comfortable with the PATH and the PYTHONPATH. No matter what you do, something may need tinkering.

- tox is indeed the best tool to test several envs, but people that need it are rare. Don't bother for now.

- if you want to build a package, use hatch. But you probably don't.

- if you have to use conda, don't use pip or venv at all. Don't use piptool, poetry or anything. Stay on pure conda land. It sucks, but the alternative of mixing them is worse.
Another example of how being open source friendly boils down to "it depends on the green paper" even for the companies that do market themselves as such.

This is not the only area where Intel doesn't really support Linux, some of their GPU models also come to mind, like the PowerVR based ones in the past.
> it doesn't seem to happen if I press hard

I would assume that's because you're increasing the contact area and therefore more of your nerve endings are getting a lower voltage, pushing it below the detectable range.
Yes, day and night. I specifically bought my 3dfx accelerator card to boost Psygnosis Formula 1. Adding the card was like switching from C64 to an future PC monster.

I never again experienced such a phenomenal gap in visible performance. Happy times.
What’s wrong with using a ‘comment’ key?

I’d say not supporting large ints is worse.

https://stackoverflow.com/questions/209869/what-is-the-accep...
What do you mean? Every article about this makes the comparison with the Industrial Revolution, including this one.
This was a wild read. It started out as (more or less) an essay on how geography can and does influence how likely it is that you get dissidents living in your political environment, transitioned to how the Chinese State handled the lock downs, connected that with commentary on the likelihood Xi maintains or expands his power and influence, and then called back to the first part to tie everything in a neat little bow.

Very, very well done.
Right, and that is the issue. If I buy a Mac and run MacOS I can be sure that I get long battery life. If I get a PC laptop and run Linux, it's a random crapshoot if the random combination of hardware, kernel version, etc. (I also used Silverblue and Fedora) of whether you get a good battery life.

Maybe Asahi Linux will improve things, since they only target a very small number of hardware configurations.
I'd say it's neither. The only failures I've seen in the data center were caused by differential thermal expansion cycles and broken solder balls. Same phenomena that kills game consoles but not ML/mining GPUs that spend all day and night at max power/current and constant temperature.
In the case of T480 the limit is specified by whether the laptop is in your lap or on the table. In the latter case it allows a much higher limit.

This check doesn’t work on Linux, so for safety reasons the former limit is enforced.
That's an .. interesting request.

What are you hoping to achieve by finding such a community?

I am not sure what's unique to side-project developers besides the fact that they are often intrinsically motivated.

IndieHackers has a lot of people developing stuff on the side, but the clear focus there is to make money off it at some point in time.

I think you need to specify what you want from such a community for us to make better suggestions :)
Apparently many finance institutions are of another opinion, given how many array languages happen to survive on that space.

Additionally these kind of languages are much more ergonomic for GPPGU, and I expect them to eventually get more adoption into that space.
Sadly it seems that big tech in more modern times than that of the article, own their own universes and don’t want to share.
I have a hard time accepting an argument against government regulation by a guy who supports large amounts of housing regulations to keep people from building anything near his property.

Deregulation, like charity, begins at home.
I've been playing this daily for a while. The issue I've found with it is that your health recharges every 100 steps. This creates a divergence between the fun way to play and the way most likely to win. The optimal strategy is to spend a long time button mashing between enemies, and to run back and forth for ages when facing a powerful enemy. I think it would be better if your health didn't recharge (with the enemies rebalanced to accommodate this). This would force the player to actually make smart decisions.
I don't see how the body of this post supports its title/thesis. What I read is the old re-heated argument "regulation drives up the costs" and very little about how this might relate to AI.
Is there some definition of kooky that precludes someone from being brilliant?
Seems like they should just poison you harder to reduce the time you have left for long legal disputes.
Nvidia RIVA TNT: the first graphics chip that put Nvidia on the map
It is super hypocritical, but also, it's basically correct. I'd rather live in a world where random people showing up to Atherton city council meetings can block developments on property they don't even own (fortunately we seem to be moving that direction). This is very much an example of regulatory capture by vested interests
Experimental Evidence on the Productivity Effects of Generative AI [pdf]
Clever credit: How African startups use data and distribution to de-risk lending
- take a week or two to see everything as a tourist, do the things you usually don't do as a resident

- find friends, probably through a hobby or some kind of volunteering, ...
And how would a heads-up work in this case?
Popularization of computers in our lives did not caused massive unemployment and ML/AGI probably also won't. Some jobs became obsolete, some people needed to adjust but it's just life. Things change and most humans can be flexible.

On the other hand, there is this ongoing, politically-driven, toxic trend of making people from various groups consider themselves as victims of abuse. Changes may be problematic for those who demand from others but not self.
https://web.archive.org/web/20230304214707/https://www.teleg...
Ask HN: How to identify a good quality electronics
The market seems to be full of white label products sold by no-name asian vendors and established brands alike. You get the exact same box with a different logo slapped onto it, or you get a different box with the same internal components.

What are resources that you use and recommend for doing due diligence before buying? I get that there is people who don't worry on spending $30 on cheap electronics - if it is no good or breaks quickly, "it was cheap - easy to move on to the next disposable, mass produced gadget". I would also not worry too much about the loss of $30 (apart from not wanting to contribute to excessive electronic scrap), BUT when that gadget (say a USB hub) is going to be connected to a >$4000 setup, I really don't want it to fry it's neighbours.

Comments on amazon are useless and people writing about gear they own, often do so from a position of shallow experience.

Sometimes I stumble across great teardowns [1][2], but that is rather the exception.

Where do you look for such information? Any good forums, groups or blogs to recommend?

1: https://dancharblog.wordpress.com/2022/03/05/caldigit-ts4-teardown/
2: https://community.frame.work/t/usb-c-thunderbolt-dock-megathread/1460/204?u=matthijs_kooijman
This can change from quarter to quarter. There are companies like Cisco which pay bonuses sometimes exceeding 100% of salary to top employees. This way they’re not stuck paying that if the employee loses motivation.

There are some downsides. Engineers are far removed from the money and complex problems often require the work of many people. Some of that work is 100% necessary and sometimes not valued (writing tests). The typical mistake I see is companies rewarding people who delivered big greenfield projects before the projects have been proven to actually work. A few people on the lucky team get raises, bonuses, promotions, and then more then half the time, the project fails and the older stand-by that was being supported and slowly improved by the less-cool engineers continues to being in all the money. Those engineers then get pissed and some fraction quit.

So a few major caveats
* correctly identifying the top 3% is difficult for upper management
* identifying too early leads to false positives and backlash
* because it’s far from the money, many programmers are quasi-communist in terms of thinking about team deliveries, so highlighting the output of a single engineer makes one person happy but half a dozen mad. There are many companies that don’t announce promotions too far and wide for that reason
The existence of ThrottleStop and the experience of many others shows that this is also a persistent problem on Windows --- CPU is barely getting warm, and sometimes the fan doesn't even turn on, but then gets throttled to some insanely low speed. Search "800MHz throttling" for plenty of complaints. Disabling all the DPTF and other extra power management bloat puts the CPU speed and performance back where it should be.
Ask HN: How secure is it to run open source software in Docker containers?
Like me, some of you will have learned their lesson about trusting software via a message on your screen that said

Something wonderful has happened Your AMIGA is alive !!! and, even better...

Some of your disks are infected by a VIRUS !!!

Now 30 years later, our software stack is so much more complex with each piece of open source software being composed of countless other pieces by developers from all around the world and all walks of life.

How does everybody protect their host OS from all that untrusted code when you try a piece of open source software?

Is it reasonably secure to run it in a Docker container?
Pyenv compiles python. This excludes it for pretty much every solution by default, as compiling can fail in so many weird ways.

Nobody wants to support something that can turn even the simplest ticket into a game of cluedo.
What's the problem with people getting attached to them? People get attached to all kinds of things including the pen their late mother gave them, or that pair of pants they wore when they were younger.

Lovecraft's gods were operating outside the laws of our universe, that's what made them terrifying. I don't think chatbots will be able to do that.
Of course it's a big deal, but certainly we're more mature than descending into Godwin's law two posts into the conversation?

Mao despite his failures is the foundational figure of modern China. He's not Hitler, who brought ruin not just to the Jewish population but to Germany as well. Mao still matters in China, Hitler doesn't in Germany. It's historically impoverished to grasp for Hitler analogies and having a reflexive panic attack every time Mao is up for discussion. Same with Stalin. Both still have significant influence in Russia and China, among the people as well as leaders and understanding why that is makes some sense.
The most important things in my eyes are:

- speed of iteration -> how quickly can you produce something that proves the value

- available developers -> how many people code in this language and what kind of people are they

- infrastructure -> depending on what you plan to do, it might be a good choice to have something that is easily deployed to a cloud service, some languages are better supported than others
That’s what you get if something as basic as debugging is not open-source for your platform.
That's because you can no longer do this in local libraries, which have become day care centers for the homeless:

https://mu7ami.micro.blog/2021/07/19/library-blues.html
For businesses and selling yes.

This has a very high risk of your associate your business with your private life in case of bankruptcy ( to pay less taxes).

Additionally, i know an owner that put his wife as boss instead of him for tax reasons. So tax optimalisation is very very complex here, another disadvantage.
And the move to concurrent system which we’re not stepping back from ever.

In concurrent system, mutable state is pain, you want to limit it.

When most langages make mutability ubiquitous it becomes very hard to understand that the issue is because 5 hours earlier a mutable array got unwittingly shared between two threads as it got sent as a message through a queue (thread-safe!) and now they’re stepping on each other’s toes when the stars align, and you end up with fishmen everywhere you go.
That's not what I claimed. I asked why they hadn't included enforcement provisions because it's obvious that people will try to get around it and it's even obvious how they will get around it.

Yet here we are, and I still don't know. You offered that the US does some enforcement. So why doesn't the EU? Surely we have the bureaucratic manpower.
Amazon is closing its cashierless stores in NYC, San Francisco and Seattle
Thank you for the thoughtful response and empathy! The second paragraph pretty much hits the nail.

I've been analysing, dissecting, journalling my upbringing for the past 10 years and have made substantial progress I would say. But mostly on a cognitive level and on a level of being able to understand that it was not normal/healthy. I'm not so sure about the level of emotions / truly internalising. I realised over the past year that I cannot fully heal alone, so I finally looked out for therapists (after pushing it away for months). Many books/articles/videos/podcasts about psychology, narcissistic parents, CPTSD as well as discussing everything with my siblings (we are 4) have helped validate my/our feelings and enabled me/us to understand. I've already read several books other commenters suggested. On a deeper level I still feel a bit broken, low self-esteem, passive / somewhat avoidant, daydreaming about being a hermit in a forest, full of self doubts, unsure who I am, etc. very often.

I hope therapy will lead to some breakthroughs on that level and, yeah, I will make sure I'll try to find a good fit.
Which many programmers get wrong and lead to crashes, specially when they think they are clever than compiler optimizations.

There is a WWDC talk about this for a reason.
Can't read in the public library anymore. Your only hope is a university library that happens to be a government depository library as they have to let you in.

https://mu7ami.micro.blog/2021/07/19/library-blues.html
WebP actually is pretty widely used... I suspect over half of browsing sessions load at least one WebP image.
Is this the beginning of Psychohistory. Wonder when we'll combine all the advances in psychology, anthropology, machine learning, marketing, etc... We've been manipulated for a long time, but this seems like a start in really dialing it in. Move the manipulation out of the dark ages and start doing some deep manipulation of society.
Have you tried yabai as your WM on macos?
Somehow the author wrote this article without referencing •Blurb your Enthusiasm•,

https://www.amazon.com/Blurb-Your-Enthusiasm-Z-Persuasion/dp...
Saving the Galaxy, One Quadrant and Sector at a Time
So the article is blaming people who work on software for needing money to feed their families?
The cost of educating 1 child was never lower than when they were taught by their parents how to work the fields while doing said work. Education costs tell us very little about both quality and efficiency of education.
LLMs aren't new and there has been no sign of them being able to automate maths research so far. If they do, I will acknowledge them as AGI as it has been my goalpost for over 30 years. I've never moved it once, and I won't.

Computers were invented in large part for this purpose. The hope was to have a machine that could spit out interesting theorems. It turned out that generating theorems was trivial (you can just enumerate them) but generating interesting theorems was a task of an entirely different nature. To this day, computers are frequently used as tools by maths researchers but cannot do their own independent maths research, i.e. invent and prove their own interesting theorems. This is surprising if you think of research maths as ultimately a game of symbol manipulation, but I think what it tells us is that that is not what research maths is.

The discovery that in trying to make a maths machine we made a computation machine instead, and it wasn't inherently any good at maths, made the difference between computation and maths very clear. What we have now is algorithms that are able to learn patterns in symbol use from large corpuses of text, and generate new text by recombining those patterns. Personally, I'm pretty sure this will be a demonstration that that isn't what research maths is either.

If LLMs do turn out to be capable of independently inventing and proving interesting new theorems (every word of that is important) I will have to throw away most of what I have come to think about what intelligence is, and I will do so without complaint because it will have been shown to have been wrong. Indeed, I'll do it with joy, because I've always believed AGI is possible and the biggest thing I've always wanted out of its invention is a better understanding of what mathematics is. This will have been provided.

However, I don't expect them to. Usually when I mention this people bring up various examples of attempts that have been made to make AIs "do maths" in some way but I'm aware of what has been done so far and none of it comes close to AI "independently inventing and proving interesting new theorems" or looks like its heading towards that any time soon.
Why has <well-known-thing> suddenly . . .
There are Java real time runtimes being sold for about 20 year now.

PTC and Aicas are the surviving companies on this domain.

Aonix, which was acquired by PTC, famously sold Java real time systems for military systems like missile tracking radars and battleship weapon targeting control systems, a domain where you need split second decisions taking place.
> Outsourcing was not a technology

He's likely referring to not just the general concept of outsourcing, which has been around forever, but the programming offshoring scare of the early 2000's (which - the scare - was very real, having worked through it). It was very much caused by technology - messaging, Webex (before Skype even), source control and issue tracking getting mainstream adoption (Bugzilla, CVS, Subversion), combined with an influx of people into tech companies and the subsequent market bust in 2000. It was the first time when regular office workers (programmers in this case) realized they could be made completely disposable by the millions, and that would not have been possible before the technology i listed became mainstream.