skysight-inc/HackerNews huggingface dataset:
Interesting how this is the opposed of fitness recommendations where it’s all about mTOR activation to build muscle with protein or even pure leucine supplements. That would imply a strong inverse correlation between muscle mass and longevity, but I’m not aware of research showing this, even maybe the opposite. How do you explain this apparent paradox? Maybe the problem is mTOR over activation, not an intermittent one, kind of like insulin? In that case phases of muscle building with autophagy in between (ie intermittent fasting) could be the best of both.
I started my career in a world where we did everything using shell scripts running directly on bare metal servers, usually running Solaris, and later SuSe or RedHat. I never understood the "how would you reproduce your setup without Docker (or X, where X is some other technology)". The scripts were deterministic. The dependency versions were locked. The configurations were identical. The input arguments were identical. The order of execution was identical. It all ran on a deterministic computational device. How could it not be reproducible?
Insights into notorious 'Alzheimer's gene' fuel hope for staving off dementia
In the script I already gave you it shows an even stronger argument than CHSH inequality : Convergence (in law) towards the QM probas : It can replicate all the proba given by QM for any alpha,beta polarizer settings, up to epsilon, with epsilon that can be made vanishingly small.

QM breaks CHSH inequality, this replicates the proba of QM therefore it also breaks CHSH.

Of course I'm not banging against a math theorem wall, I just made some leeway to go around, based on the fact that conditional probabilities are not probabilities. Setting the problem such that measurements/observation are defined as a conditional probability (against an unobservable variable) suffice for making Bell theorem not applicable. It offers a whole class of solution to the seemingly paradoxical Bell Inequalities.
Writing the radical sign last is a sign of sophistication of maturity.
https://threadreaderapp.com/thread/1832921451986632777.html
Book review: Jeremy Rifkin's "The hydrogen economy" (2014)
I agree – the investigation is thorough, but I think the conclusions are a little jumpy.
That comment definitely makes me lean towards you just liking to feel superior.
I just moved to a Dutch city with a large canal and I'm definitely jealous that you can't swim in it! Luckily we have a lot of small recreational lakes that are clean and have other accessories for swimming.
Quite possibly, I don’t doubt that. That still doesn’t change the fact that police is in dire need of reform.
SteamGridDB: Custom Art for Steam Games
You can get a similar machine (Quick Mill Carola) for the same price, assembled. To scratch the hacker itch, you can get a much cheaper machine (Gaggia Classic Pro, Rancillio Silvia) and install a PID (a computer to control most of the brewing parameters).

I understand the appeal to "hackers", but if you just want coffee, there are more, proven reliable, less expensive, options.
I did a small test a year and a half ago (very basic) and it was already funny xD

https://github.com/realrasengan/chatgpt-groupchat-test
Ever heard of a stock-price led company that "went back to being an engineering and manufacturing led company"?
A better writeup here: https://reader.tymoon.eu/article/437
Trustfund inheritance comes to mind ;)
Thanks for letting me know - I’ll make sure it can support (transitively) circular symlinks soon.
The Haskell Language Server (LSP) always needs help: https://github.com/haskell/haskell-language-server/issues?q=...

As for GHC compile times... hard to say. The compiler does do a lot of things. Type checking and inference of a complex type system, lots of optimizations etc. I don't think it's just some bug/inefficient implementation, bc. resources have been poured into optimizations and still are. But there are certainly ways to improve speed.
For single issues, check the bug-tracker: https://gitlab.haskell.org/ghc/ghc/-/issues/?label_name%5B%5...

For the big picture, maybe ask in the discourse[1] or the mailing list. If you want to contribute to the compiler, I can recommend that you ask for a gitlab account via the mailing list and introduce youself and your interests. Start by picking easy tickets - GHC is a huge codebase, it takes a while to get familiar.

Other than that, I'd say some of the tooling could use some IDE integration (e.g., VS Code plugins).

[1]...https://discourse.haskell.org/
Ask HN: How much do advertisement "partners" pay to publishers?
Hi. In the EU, these so-called "cookie banners" are very well known and a common sight when visiting almost any website.

Some of these banners also include the list of all "information partners", i.e. some companies where user data are sent to.

Now this list is normally huge: A small news outlet or blog can have more than 500 "partners" the names of which I have almost never heard. Some of them also employ dark-ish patterns such as not allowing you to deselect them all at once, or even better, having all of them deselected except some seemingly random ones, making the user scroll all the way to be able to see al selected ones, further annoying them.

All of this makes me wonder, why do publishers go through all this? Is the money that significant, compared to other ways of showing ads? Can someone provide some concrete numbers, maybe on a per-visitor basis? Can anyone provide light on these partners, their business modesl, and whom they sell the collected data to?

Thanks
Oh, good comment.

After reading the article, I walked away with "well, they were vague about the terms, but the real terms sound fine to me."

But your comment changed my mind somewhat: it definitely isn't a co-op, and the "creator owned" language is misleading.
I can believe it. Sex work in general is fraught with various degrees of abuse. However, it's also clear that there is a large class of workers that's doing this work voluntarily, under no pressure (at least not beyond the pressures every employee in any field experiences); my comparison would apply to them.
Well, Boom is not any aerospace company, they want to make supersonic planes.

Supersonic travel is expensive and environmentally unfriendly, and it will probably always be, because it requires more energy, because physics. All that for the minor advantage of saving a couple of hours on select flights. What it means is that it is a privilege for the wealthy (because it is expensive for what you get), at the expense of everyone else (because of the environment). So of course it is going to be unpopular, except to the wealthy in question.

It doesn't mean Boom can't be successful because the public opinion is negative, if the rich can pay. I am still not convinced though, after all, Concorde didn't fail technically (and it still flew after that one accident), it failed commercially. Boom is not taking the easy path here, since it is a technically hard problem with a dubious market.
AI Chatbots Can Talk Conspiracy Theorists Out of Believing
If someone thinks rolling their own infrastructure is "starting simple" than I have some land in Antartica my great, great uncle is trying to get rid of they might be interested in.
1000 users isn't a big number. 1000 paying users is.
Or maybe they have tried it and don't like it. Maybe it is your taste that is screwed up and that is why you like light roast espresso. But either way even if Neapresso isn't the best coffee it isn't horrible.
I think it has to do more with being honest about ones core competencies.

There are tons of people who enter a field because they're rich, hire great people, connect those great people with money, and do very well.

There are also rich people who believe wealth qualifies them as subject matter experts, which tends to go less well...
A Comprehensive Guide to Prepare for LeetCode Interviews
Michael Liebreich: Global Energy Transition Trends and Hydrogen [video]
Patriarchy explicitly tells us so.
Also I would expect that the letters are consistent. Not necessarily legible, but always quite the same.
Look, we're going down one way or another. We might as well get down there faster so we can start crawling back up sooner.
Looks like an HP calculator forum got to the bottom of this around a month ago. The company HP licensed their calculator production to accidentally shipped a run of units with buggy firmware. Most have been captured and flashed with corrected firmware. Some distributors were unwilling to return their calculators for rework, which is how these ended up in the hands of customers. Anyone with a buggy calculator should contact HP calculator support for a replacement. https://www.hpmuseum.org/forum/thread-21965-post-190853.html...
It is probably not that uncommon. I've been swimming both in Oslofjord and Danube (AT, SK).
I can't remember the last time I've seen a position description for a software developer (or anything tech related for that matter) that didn't include a requirement for skills in some cloud related tech.

Sometimes the job descriptions are boastful in their reference to those technologies, and other times you can detect some level of despair.
Thanks for the great comment! Bear in mind, this is the initial version of the site that should be running in a couple of weeks.

The app has three groups of sources:

- peer-reviewed research published by scientific journals (highest reliability)

- reputable news websites (medium reliability)

- internet searches (lowest reliability)

The Hunter laptop and Neo-nazi cases are tough ones, but essentially it would provide an overview of what sources if any are providing that information. Identifying original sources and when they were created can be very illuminating on determining whether it’s reliable or likely misinformation. The app provides a scale from completely false to true to gauge a level of uncertainty.
If low reputation sites are spreading misinformation through circular reporting, that would register as having low reliability and hence not much evidence behind it.
I’d love to know if you or anyone else has other ideas to tackle your examples. They’re good ones.
Because it seems unobvious but docker always saves you. It's actually quicker than running pip install requirements.txt once you get a year in. (Trust me, I used to take your approach).

Forget about "clunky overhead" - the running costs are < 10%. The dockerfile? You don't even need one. You can just pull from the python version you want e.g. Python1.11 and git pull you files from the container to get up and running. You don't need to use container image saving systems, you don't need to save images, or tag anything, you don't need to write set up scripts in the docker file, you can pass the database credentials through the environment option when launching the container.

The problem is after a year or two you get clashes or weird stuff breaking. And modules stopping support of your python version preventing you installing new ones. Case in point, Googles AI module(needed for gemini and lots of their AI API services) only works on 3.10+. What if you started in 2021? Your python - then cutting edge - would not work anymore, it's only 3.5 years later from that release. Yeah you can use loads of curl. Good luck maintaining that for years though.

Numpy 1.19 is calling np.warnings but some other dependence is using Numpy 1.20 which removed .warnings and made it .notices or something

Your cached model routes for transformers changed default directory

You update the dependencies and it seems fine, then on a new machine you try and update them, and bam, wrong python version, you are on 3.9 and remote is 3.10, so it's all breaking.

It's also not simple in the following respect: your requirements.txt file will potentially have dependency clashes (despite running code), might take ages to install on a 4GB VM (especially if you need pytorch because some AI module that makes life 10x easier rather needlessly requires it).

life with docker is worth it. i was scared of it too, but there are three key benefits for the everyman / solodev:

- Literally docker export the running container as a .tar to install it on a new VM. That's one line and guaranteed the exact same VM, no changes. That's what you want, no risks.

- Back up is equally simple; shell script to download regular back ups. Update is simple; shell script to update git repo within the container. You can docker export it to investigate bugs without affecting the production running container, giving you an instant local dev environment as needed.

- When you inevitably need to update python you can just spin up a new VM with the same port mapping on Python 3.14 or whatever and just create an API internally to communicate, the two containers can share resources but run different python versions. How do you handle this with your solution in 4 years time?

- If you need to rapidly scale, your shell script could work fine, I'll give you that. But probably it takes 2 minutes to start on each VM. Do you want a 2 minute wait for your autoscaling? No you want a docker image / AMI that takes 5 seconds for AWS to scale up if you "hit it big".
Someone at this company gave me some advice a while back: https://gatewaytodenmark.com/ - but I don't know if they mainly focus on corporate clients or what.

In my case, I came via "Startup Denmark" where I started a company here and had a Danish co-founder: https://www.nyidanmark.dk/en-GB/Applying/Work/Start-up%20Den...

But now I'm preparing to switch to the Pay Limit Scheme as I got a fulltime offer: https://nyidanmark.dk/de-DE/You-want-to-apply/Work/Pay-limit...

The process isn't easy per se, but from what I hear it is miles better than US-immigration.
Cursor doesn’t fit into everyone’s workflow — I subscribe to it, but I’ve found myself preferring the Claude UI for various reasons.

Part of it is that I actually get better results using repogather + Claude UI for asking questions about my code than I get with Cursor’s chat. I suspect the index it creates on my codebase just isn’t very good, and it’s opaque to me.
I’ve just recently gotten into ansible and find myself building the same thing. I wrote a script to interact with virsh and build vms locally so I can spin up my infra at home to test and deploy to the cloud if and when I want to spend actual money.

I’m still very much an ansible noob, but if you have a repo with playbooks I’d love to poke around and learn some things! If not, no worries, I appreciate your time reading this comment!
Just about any book on the subject will be adequate to get the basics. There's also nearly nothing on a bicycle you can screw up in a way that you can't in-screw it up by turning the screw in the other direction (exception: wheel trueing, but even that you have to blow pretty bad to taco a rim). If you get into rebuilding mountain bike suspension, this doesn't apply, but that shouldn't be your first project anyway. Oh yeah, and hydraulic brakes probably also wouldn't be a great first project.

Get a book and start experimenting. Plan on re-doing some work.

Maybe find a way to hold the bike without investing in a work stand if you're over thirty. I've done a lot of work on the side of the road while bike touring, but that doesn't hold much appeal these days if I have another choice.

ETA: get a tube of bike grease from Park and a bottle of chain lube (Tri-Flow is fine, and so is everything else). Those'll cover your lubricant needs for years.
thinking about this - is there a term for tasks which are partially parallel, that is to say X starts at 0.1 and ends at 1 and Y starts at 0.2 and ends at 0.9 - X and Y are not parallel, but they are something that I'm not sure what the technical term for is. (this is assuming they are not executed concurrently either of course)
Being able to swim at a basic level seems like a fairly basic safety thing but I expect a fair number of people who grew up in places where swimming wasn't commonplace never learned. I went to school someplace that required passing a swim test or at least taking a class but don't know how rigidly that was enforced.
Just don't tell the consumer that it's Gen AI
Which don't even stay in the air for too long. Hence the 8-fold fee increase.
There are plenty of millennials who have conservative views about something, and don’t forget that the damage is done regardless of the motivation. From the perspective of the victim, it doesn’t matter whether the person who just sent their boss the link to their OF is a zealous right-wing Christian or an incel bitter about being turned down. Millennials are more accepting about sexuality on average but a double digit percentage of that large a cohort is millions of people.
On the contrary. It will be the world's most scrutinized employee. Thousands of people, amongst them important people with big levers, will be screaming in their ear on my behalf constantly, and my — our collective — employee gets better without me having to do anything. It's fantastic!
This looks phenomenal!
> Treat it as a naive but intelligent intern. Provide it data, give it a task, and let it surprise you with its output.

Well, I am a naive but intelligent intern (well, senior developer). So in this framing, the LLM can’t do more than I can already do by myself, and thus far it’s very hit or miss if I actually save time, having to provide all the context and requirements, and having to double-check the results.

With interns, this at least improves over time, as they become more knowledgeable, more familiar with the context, and become more autonomous and dependable.

Language-related tasks are indeed the most practical. I often use it to brainstorm how to name things.
All my API's have a "context" query string, if you use it to send a incrementing integer, you can ignore all late, out of order results
You appear to be replying to the co-founder of iFixit, so presumably he knows what he's talking about.

https://www.ifixit.com/Document/CPMKU1yOZAYVXbpB/FixHub_Sold...

What he says matches their documentation as well:

>Blue LED: The iron is below 40° C / 100° F and is safe to touch.

>Purple LED: The iron is actively heating up or cooling down. Iron tip is not safe to touch.

>Orange LED: The iron has reached the user-set temperature and is ready for soldering. Iron tip is not safe to touch.
20% of hard drives used for long-term music storage in the 90s have failed
Well, I meant it in contrast so some places that do Polar Bear dips or whatever just on New Years Day or whatever. Basically, people swim 365 days a year here. It doesn't get cold enough for the channel to freeze over, but we sometimes get some ice by the shore and the hard core ones will chop a hole.
It’s a new from scratch implementation of a validator for Solana the fastest blockchain by several orders of magnitude. The slowest part is signature verification so they sped up hashing to improve performance of the entire system.

They follow a first principles approach (the lead has a few physics degrees) and opted to speed up the cryptography. The beauty of this, despite the bad views on blockchain, is that they freaking sped up the cryptography of commonly used algorithms more than anything open or closed source that I personally am aware of.

It’s a win in cryptography, much like this Amazon post is, except it’s slower than the firedancer implementation.
For your “better example”, it can literally already do this. I just tested this with 4o and it worked great (and I’ll say more accurately than a human would estimate most likely). I used 4o because it appears that the chain of thought models don’t accept image input yet.

I don’t want to post identifiable information so I will avoid linking to the convo or posting screenshots but you can try it yourself. I took 5 pictures of a child’s magnetic tile sitting on the floor and here is the output:

Me: (5 pictures attached)

Me: Estimate how much this weighs.

ChatGPT 4o:
From the images, it appears that this is a small, plastic, transparent, square object, possibly a piece from a magnetic tile building set (often used in educational toys). Based on the size and material, I estimate this piece to weigh approximately 10 to 20 grams (0.35 to 0.7 ounces). If it's part of a toy set like Magna-Tiles, the weight would be on the lower end of that range.

But for some reason I have a feeling this isn’t going to be good enough for you and the goalposts are about to be pushed back even farther.

“In the cypher example, all it’s doing is basically using a separate model to break a particular model into chain of thought, and prompting that. And there is plenty in the training set of GPT about decrypting cyphers.”
I’m sorry, but are you suggesting that applying a previously learned thought process to new variables isn’t reasoning? Does your definition of reasoning now mean that it’s only reasoning if you are designing a new-to-you chain of thought? As in, for deciphering coded messages, you’re saying that it’s only “reasoning” if it’s creating net new decoding methodologies? That’s such an absurd goalpost.

You wouldn’t have the same goalposts for humans. All of your examples I bet the average human would fail at btw. Though that may just be because the average human is bad at reasoning haha.
1000% this. LLMs can't say "I don't know" because they don't actually think. I can coach a junior to get better. LLMs will just act like they know what they are doing and give the wrong results to people who aren't practitioners. Good on OAI calling their model Strawberry because of Internet trolls. Reactive vs proactive.
I guess that hasn't been my experience. I see people swimming all the time in locations where there aren't lifeguards and other safety measures.
The Dark Nexus Between Harm Groups and 'The Com'
And what if the conspiracies are true? Are we talking about the malleability of belief or the sensibilities of chatbots?

Anyone denying there exist anywhere conspiracies against our natural destinies, or even the global power landscape, they are a part of a great deception upon you! We cannot be neive and free peoples simultaneously. We must be critical, forever.
That team is full of world experts in high performance computing.
The problem here is that ceratain members of our society think sexuality is immoral and that sex performers deserve ostracism.

The idea that someone shouldn't be hired for a job because they have/had an OF is puritanism plain and simple.

I expect that fewer people actually care about the "morality" and simply want to use morals as a weapon against women in the workplace.
> People really love adding needless complexity in my experience.

No, people love thinking their experience is the same as everyone else's.

Have you ever worked in healthcare? Do you have any idea what sort of requirements there are for storing sensitive information?

>n my 12+ years I've only had to work off hours twice.

Well that settles it. Then no one on the planet should need cloud infra if yuo didnt.

And please, please don't tell me you've spent the last 12 years at the same place and have the gall to extend that to all software development.
That reminds me of the JavaScript interpreter written in JavaScript (which is used for Scratch, I think) - that supports stepping through multiple instances of the interpreter to achieve a kind of interleaved concurrency.

https://neil.fraser.name/software/JS-Interpreter/docs.html#t...

> JavaScript is single-threaded, but the JS-Interpreter allows one to run multiple threads at the same time. Creating two or more completely independent threads that run separately from each other is trivial: just create two or more instances of the Interpreter, each with its own code, and alternate calling each interpreter's step function. They may communicate indirectly with each other through any external APIs that are provided.

> A more complex case is where two or more threads should share the same global scope..
Yes. Till this day Bonobo has no invention.

Do you like this kind of society?
How would insufficient ability to make more dangerous planes kill anyone? By what mechanism? Who, for example? What are you even talking about?
Researchers built a molecular film that stores 16,384 states