skysight-inc/HackerNews huggingface dataset:
Every single indie band I like is a brand.

Pardon my French, but get the stick out of your eye and lighten up a little bit about this.

Not everything should be "kumbaya, my lord" neighborhood arts and crafts, string beads, hillbilly woodworking, or stay at home mom Etsy finds. You can enjoy things that have their own distinctive brand identity. Where the artist becomes inseparable from the art.

Web comics, their own brands. Fan fiction authors, their own brands and followings. YouTubers and Twitch streamers, even the smallest of the small - duh. Brand. Bloggers. Columnists. Photographers. Even illustrators have their own brands. They don't want to be generic fungible goods. They want to be unique. That's what it is to be an artist and the name of the artist carries recognition, accolade, and following.

So sorry there's an element of marketing and self promotion involved, but that's the name of the business for everyone. If you don't like it, you can work for somebody else and follow their brand guidelines and direction.
Have you worked with Angular much? I've built extensive component libraries (internal) for my org and maintaining the Angular one has been a nightmare. The frequency of breaking changes and conventions has been awful, particularly in the last few years. React, by contrast, has been a breeze ever since they introduced Context and Hooks.

On the app development side, we dealt with 3 major overhauls of PrimeNG's style system before we decided to invest in a custom library just to eliminate the risk of future upgrades. It took us 6 months to migrate our Angular 9 app to 18 because of the PrimeNG dependency. Granted, it's a massive application and they didn't maintain it properly, but I'd hardly call Angular stable regardless.

And then you have the Vue composition API, which was a major shift from Vue 2.

This isn't to say that React has been perfect. Depending on your stack, there are certainly a fair degree of breaking changes (looking at you, Next.js and react router). But that is far from abnormal in the JS world.
From the article:

"Similarly, paper mills – organizations that produce fabricated or low-quality manuscripts for profit – often rely on inflated co-authorship networks to boost the metrics of paying researchers..."

The article references this paper on predatory journals as the source: https://link.springer.com/article/10.1186/s12916-015-0469-2?...

According to this paper more than 75% of the authors published in these journals originate in India and Africa (mostly Nigeria).
Actual site/release: https://news.ycombinator.com/item?id=43093429
The way I handled this issue for my family and devices is just by having two SSIDs - one with pihole blocking and one without. If it’s interfering with something me or my wife can just switch to the unblocked network temporarily.
Yeah, React really fumbled the bag with server components.
To satisfy HN’s emoji-stripping comment mangler:

>>> from unicodedata import lookup, name
>>> name(chr(ord(lookup('AUTOMOBILE')) ^ 0x20))
'NO PEDESTRIANS'
Are those patents for Europe? I guess a French could file for a US patent, right?
I still think Transcendence (2014) (that AI movie with Johnny Depp) is a pretty relevant watch. (I do not condone violence.)

Still quite uncertain about how to feel about G(AI).
A "meager" 600+ million users today
TL;DR pull the the plug from the laptop _before_ closing the lid. That way it will not be sleeping thinking it got power from the wall.
whoa this is so cool!! Can you tell us a bit more about the C++ part? I don't get it
> Current time is determined by a Cloudflare Worker using the request IP (not logged or stored). No JavaScript is sent to the browser.

That’s a strange design. If you sent just ~10 lines of JavaScript to the browser, you could achieve an actually live-updating version (i.e. not only on page refresh), and you could use the actual time zone of the user instead of assuming it based on GeoIP. Your page could exist with zero server-side code.
I’m not sure why I’d ever want DoH, I block as much as I can at my firewall and have a canary domain.

I want my devices to use my defined dns sever on my network, not some ad company (and all tech companies eventually become ad companies)
I would try openvino, it might get you part of the way there.

Other things to do would be to fix any tape warble or flutter, normalize the volume, do simple things like high pass filtering anything below 75hz (as most voices don't make audible volume at those frequencies, especially children's voices.

Then I would get a spectrum analyzer plugin and see if there are any spots that are clearly music vs children speaking and zap them out.

(Audition is pretty good software for this, you might still be able to find the download and mass unlock serial key that Adobe released for version 3.0 somewhere on the internet, of course, this is only for people who bought it as a perpetual license back in the day and need to activate it now that the activation servers have gone offline, so no pirating it!)

I'm not gonna say it will be perfect but you might do well enough to be able to hear what everyone is saying and it not sound too bizarre.
My stance is at least one full concept or one data point or else no authorship to that person.
Power law / Zipf function relations:

"Power Law in Popular Media"

<https://michaeltauberg.medium.com/power-law-in-popular-media...>

Via: <https://blogs.cornell.edu/info2040/2019/11/14/power-law-in-p...>
> It's also not possible (or not clear) how to have different behavior for different clients

There's a menu item for that: Clients. You create a group, add a client to that group, and configure blocking for that group. To have what you want, you create a group that has just one client in it.
Whales are unusual in that they use complex sound for beyond visual range communication, and they may (emphasis may) be intelligent enough to treat our proxy sounds as an attempt to recreate their own and respond in kind.

I doubt we'd get much out of a seagull or even a cat. They don't seem to communicate much. Whales however seem to be able to "speak" over long distances and emit long phrases in which individuals are identified by something like a name. There's a lot more to work with there than even most mammals.
My eyes were opened a few years ago when I was reading my mom’s brain mri report. She had cancer and was undergoing radiation treatment. The MRI noted lesions and said they could be due to cancer/radiation OR MIGRAINES!

Holy moly! Migraines can cause brain damage!
Super neat! I made something similar with tldraw for presentations at my company, definitely not as clean as this! I'll be sure to give it a try for my next one
Seems to be working for me with no apparent problem.

In any case, there is a helpdesk@kernel.org address where you may send "All questions about kernel.org infrastructure", so I guess that would be it.
Thanks for the shoutout!

We did recently add an export for LLMs[1], but weren't quite confident in how the big models handled it. The biggest issue we kept running into was that it would prefer using older APIs over the latest ones. I tested it just now with ChatGPT, and it seems to be doing a lot better!
The export is kept up-to-date with the latest contents of our docs, which update every release. Sometimes a bit more frequently, if we're doing drive-by doc fixes.

For convenience, here's a GPT pre-loaded with the file: https://chatgpt.com/g/g-674702fde5948191a810bdf73370b6eb-rer...

[1]: https://rerun.io/llms.txt
Problem is, you can't trace the money from USAID to the actual starving people. Stays with the leaders.
Another take is that the base models are now good enough that spending more money for more intelligence is viable at test time. A threshold has been crossed.
And they will since Deepseek open-sourced everything.
Of course, the Space Shuttle (and SLS, for that matter), are bad designs and inefficient not because NASA teams design them that way, but because of the way Congress funds things. They add mandates, and require the contracts to be spread across lots of organizations and states to "budget proof" the projects.

For example, NASA's original space plane was a much better design that the shuttle, but they were forced to make it a joint project with the Air Force to get budget. The different requirements added up, and eventually we got the system we've all seen.
Not sure about the other countries but it's probably the same, in France at least tap water tastes very different in different places.

In the West it's often awful, in the more mountainous areas it's very good, in Paris and the North it's ok.
You can definitely set client groups, either based on CIDR, MAC (if on the same network segment) or individual IP. From there, you can assign different domains and list to the specific groups.
https://archive.is/L9jY6

> Meta’s Reality Labs unit, which oversees the product as well as its virtual- and augmented-reality goggles, reported losses of nearly $5 billion in the fourth quarter.
Haven't been to big tech interviews?
My LLM codegen workflow
because Trump said TSMC is stealing US chip biz, and threaten 100% tariff [1].
I think this is TSMC's attempt to avoid tariff

[1]https://www.pcmag.com/news/trump-intel-was-great-until-taiwa...
The top 10% of America pay 75% of all taxes received -- the top 25% pay for 89%.

https://www.ntu.org/library/doclib/2024/02/2021-who-pays-2-....
No medical condition has higher priority than getting out of a burning plane as fast as possible.

You may not survive a day without insulin, but the people behind you might not survive the next few seconds if they can't get out in time because you were fumbling with a bag
I do remember that, and I would say that they are still largely correct. Tesla needed government subsidies, Amazon needed AWS, and Uber needed a pandemic and Uber eats. The core businesses that HNers were referring to are still weak.
The xkcd Now comic[1] is also done server-side. There's an outer image showing day/night cycles which never changes and the part with the map and all the labels is rotated within this. The server simply has a precomputed set of images for 15 minute offsets, and chooses whichever to render based on the current UTC time.

[1] https://xkcd.com/now
I've seen someone who desperately wanted their nobel laureate PI on their paper but the professor did not put his name on the paper because it was all their idea (even though it was his grant, he reviewed and ok'd the paper, paper was relevant to his lab, and he really spoke effusively at their thesis defense)
Wow, HN is so great. Thanks for creating crobots! It was briefly very popular at my school in Sydney, Australia in the mid 1990s. Some of the then high school student programmers went on to do OS research (SEL4) and at least one joined a kernel team at Apple. I myself recently (10 years ago) veered from software to robotics, possibly subconsciously emboldened by crobots.

If you are up to it can I suggest recording an audio interview with the Oral History team at https://computerhistory.org/contact-us/ about your life?
I am not the hiring manager, and unfortunately a lot of interviews and hiring decisions happen at org level or at my manager level. These are mostly sophomores/juniors - folks who went through school in post-COVID, post-LLM era with a lot of virtual classes.

I tried my best to explain it to them, and nudge them to using docs. I did live debugging sessions with them to try and 'teach' them how to use docs. Ultimately, it was taking away too much of my time for little to no return. I only started working in the industry like a month ago and it's my first time having interns that I didn't pick (back in school, I had undergad research assistants that I interviewed/selected, and they were all excellent) - still learning the ropes.
Radio Shack got bad. Even when they still had components, it's hard to justify driving to the store to spend $30 for an aux cord when Amazon will have it here tomorrow for $10.

Notably, the whole sector seems to have collapsed in favor of online shops like Sparkfun and Adafruit. Most small cities used to have a shop where you could go pick through trays of random electronic components. Now, I don't even know where you'd go to do that in major cosmopolitan centers that certainly have the populations to support it. It's just too easy to make a shopping list of components at your desk and hit buy.

Unfortunately, I suspect there are also lots of projects that are on hold while that one component you just realized you needed makes its way through the mail.
How are you able to make the inference that "most people reading this got real value from an LLM. And I'm sure the author did as well." How are you so sure of that?

Speaking for myself, I've never gotten any real value from an LLM and their disappearance would not affect me in the slightest.

It sounds more like you were upset about his assertion because YOU derive value from an LLM, and are projecting that as some sort of dishonesty on the author's part.

Also, it was his intention to throw "the kitchen sink at the technology" as a means of showing its lack of value. In the same way a vegan would do exactly as you mention to show all the arguments AGAINST eating meat. It is meant to strengthen the intended argument through overwhelming evidence.
Pronouncing cot in German Sounds Like the word for poop.
Show HN: CLI AI assistant that remembers and sets goals
Elroy (https://github.com/elroy-bot/elroy) is an OSS AI assistant that runs from your command line.

Elroy takes memories from conversations, consolidates redundant memories, and tracks goals.

The memories that Elroy recalls during conversations are always available to the user via , as are any tools that Elroy has access to.

I've primarily used Elroy as a brainstorming assistant, where the ability to manage goals and memories helps create a more continuous conversation. It's also been helpful as an unstructured reminder assistant (for example, reminding me this morning to share this post!)

Elroy is designed to be scriptable, and can be scripted with the same configurations that are used for the CLI.

Under the hood, I use litellm to handle LLM calls, so open source models as well as commercial models are supported. I typically see best results with Anthropic Sonnet.
Trump is on record deriding the CHIPS act, which does exactly that.
Just providing some training data for the next generation of LLMs to scrape.
There are even places where water use is, really, not a big deal. My city pulls 100% of its water from a river. Sewage, after treatment, goes in the same river. Unless we suddenly grow by an order of magnitude, we are not putting any stress on the system.
Eh - just rewrite in Rust later
Lovely pipe of papers and links, thanks for sharing!
This is the guy who fired Pat Gelsinger:

> Yeary has been telling individuals close to him that he is most focused on maximizing value for Intel shareholders, the report added.

RIP Intel.
What if you’re the guy who is keeping the lab running, ie the guy who is securing the funding?
It's a less unlikely result, but you're still talking about going from around 7% of the market to 80% in as little as 3 years. That doesn't feel tethered to reality IMO. It seems to be a "line going up must continue along roughly the same slope" situation, which I don't think holds true in most cases.
The surprising theory that explains modern American life: Why don't you move?
It's accurate, but lacking context.

The dominant modes of epistemology tend to privilege some facts over others. Facts that can be fit into simple, constrained models are superior to those that require complex models.

You can see this in the distinction between "hard" and "soft" sciences. The hard sciences are considered "better", and the people who practice them considered smarter. Less-hard sciences like biology are relegated to "stamp-collecting", and sciences that study human behavior are disputed as sciences at all.

In such epistemologies, vast numbers of facts about the universe go from "hard to model" to "not important" to "nonexistent". You lack the ability to be rigorous about them, but that doesn't make them non-facts, just a limitation of how we practice epistemology.

Noticing this is not fundamentally feminist, and there are lots of other philosophers taking different approaches. Compare Kuhn and Feyerabend's work on theory-ladenness: everything we can possibly know about the world is limited by how we conceive the world to take measurements. Things that we don't know how to measure simply don't exist -- more, we don't even think about them long enough to dismiss them. The things we choose to measure are social constructs, not facts of the universe.

Feminist epistemologists note the way this kind of thinking affects marginalized groups of people. Things that matter to them are dismissed as non-facts, and the social construction of facts shuts the entire question out of existing.

This isn't to say that it's easy. The entire point is that we've been engaging in an epistemology of things that are easy. They're asking us to reconsider the assumptions, and that's going to appear "less rigorous" because "rigor" has been defined to exclude things that are hard.
Not if there’s a hardware shortage.
Working memory being terrible is one of the biggest issues I experience with my ADHD.

I forgot why I went somewhere, or worse I do something different upon arrival.
Again, if this was such an advantage, there would be little manufacturing in Asia at all. It would have never been economical.
WhatsApp is now a Large platform in the EU, and will face tougher regulation
Hm, if you just consider unitary time evolution, I think it is compatible with quantum mechanics. "Psi(t) = U(t-t_0) Psi(t_0) for all real values for t" and all that.

And, if you want to suppose objective collapse, I think you can still consider a probability distribution over histories, where each history could be considered as like, something like the described above Psi(t), except that if at time t_i some measurement is made with the outcome of the measurement being described with the projection P, then like, for t > t_i , Psi(t) = U(t-t_i) P U(t_i-t_0) Psi(t_0) = U(t-t_0) (U(t_i-t_0)^* P U(t_i - t_0)) Psi(t_0) = (U(t-t_i) P U(t-t_i)^*) U(t-t_0) Psi(t_0) ,

except add in a projection for each objective-collapse event.

I guess you might also want to add in normalization factors.

Also, I guess maybe one might want to make the collapse be a thing that is happening constantly to some extent or another? I think I saw something about the quantum zeno effect arguing that time evolution could be described in terms of constantly applying continuously varying projection operators.

Now, in these cases, you wouldn't have the future deterministically determining the past, but you also don't have the past deterministically determining the future, so..

I think this seems like it could be considered a "slab model" or "block universe" in a reasonable sense? Though perhaps not in the sense you have in mind, but I don't know what about it fails to satisfy what you have in mind.
There are a plethora of security cameras covering the takeoff area to monitor for obstacles and unauthorized personnel as well as plenty of cameras covering security fences that likely have partial coverage of the interior area... lastly, there are multiple things recording everything the plane does including in the air traffic controller tower and the plane's black box.

Whether the folks controlling these recordings would publicly release them is debatable (especially as it may be seen as being in bad taste due to the trauma these folks experienced and especially especially if anyone had died or ends up dying from injuries sustained).
Not sure why this is supposed to be hard. Apollonius's theorem works as it's intended to here.

AB^2+AC^2=2AD^2+2BD^2

https://www.wolframalpha.com/input?i=5%5E2%2B3%5E2%3D2x%5E2%...
But does it have a variable explorer? Somehow this simple feature, available in MATLAB and RStudio, is sorely lacking in many Python IDEs. I put up with an unbelievable amount of crap in Spyder because I can actually inspect dataframes, matrices, etc.
Thanks! I've actually already sent a message to the hiring cafe creator and didn't hear back. Might be worth another shot
Haven't look at that code for a while, but IIRC it does a simple HTTP request then checks the returned HTML for anything that looks like a v4 literal, eg. http://174.136.109.18.
A good chunk of that cohort specifically voted against high inflation.
I'm not the expert / one of those people who have done it, but my thoughts FWIW:

The phrase "don't really know" is kind of doing the heavy lifting here - for example, I myself haven't done professional programming in 20 years, but I know the basics. Enough to be structured in my design / requirements / direction to LLM, and to read and comprehend the advice others have discovered and shared. With that in mind, extending the code seems to work fairly well - start with basic requirements and extend them through LLM. Having not done coding in 2 decades, I've asked ChatGPT to create a python script to interact with a website's API and retrieve an object; then I've extended it to retrieve and store multiple objects, then to input for parameters, etc. it was fun!

Anyhoo, the use case discussed is not necessarily a complex enterprise resourcing application; but a little niche webapp with simple requirements, created by somebody who understands the domain itself more than coding, and which may be exciting to a target requirement, seems eminently doable with today's LLMs -- again, the proof is in the pudding of people who have done it, rather than my claims :)
Given the fact that the other plug is basically the standard at this point and the fact that Rivan's doing the "Rivan Adventure Network" for Rivan vehicles, what's the usage? If they're only getting used 10% of the time, some back of the envelope math says charging $0.61 per kWh is the five year to payback timeline.

What's an acceptable timeline to RoI for you that a business owner is allowed to have?
This is akin to suggesting that we should have all been praising Microsoft for their achievements back in the day rather than saying a word about EEE, their monopolism, or their enmity towards open source. Or that it’s not polite to bring up the CCP when discussing TikTok.

Bottom line: a technology that has the ability to shape human thought perhaps more than any other in history is owned by a man with some truly vile ideas. (Remember, his primary stated goal is eliminating the “woke mind virus,” i.e. reshaping global politics and culture in the image of the far-right.) We can make happy marketing noises all we like, but at the end of the day, that’s the thing that’s actually going to have a meaningful impact on the world. Once his audience is captured, the model will say what Musk needs it to say and people will believe it.

If we can’t discuss the potentially catastrophic consequences of new technology, then none of us deserve to call ourselves “engineers.” We are just docile consumers latched onto Silicon Valley’s teat.
Hardly so. I worked as a coach when I was younger and the number of people who hurt themselves this way is considerable, likewise for many completely preventable injuries at the gym. Usually people only turn to professional help once some damage is already done. To exemplify my point, the average BMI in the US is roughly between overweight and obese. If someone in that weight range decides that the treadmill is the way to turn their life around, they will most likely come away with serious injuries if they keep it up.

Suggesting activity is good, yes, but suggesting someone should start with lifting specifically when they have issues with their joints without any further context is moronic.