skysight-inc/HackerNews huggingface dataset:
> Was not expecting this quick post being picked up by HN - thanks for all the comments!

You submitted the post?!

It got “picked up” so quickly because it is wrong. I think what your post does show is how effectively you can farm HN for supporting arguments.

You provide zero evidence for your claims, nor do you give us any transcripts of your attempts. Every post that matches the structure of yours is usually a summary of how the author has low skill in using LLMs.

Though I am absolutely delighted in the comments and the nih paper referenced was a joy to read.
Yeah and it leaves out a lot of details to be desired.

For example, no debian build of Swift. And when I ported the ubuntu version to .deb, I ran into odd bugs, like when you kill it, it lives on! Apparently a known issue.

Basic _big_ bugs that shows Apple's half assed commitment to open-source on any other platform than their own. I can't blame them, but Swift on linux, beware.

Swift is a wonderful language, sadly I'm not seeing the commitment from Apple to make it ubiquitous. Also to note, Apple has basically killed macOS as a server, rendering Swift more towards a system/UI target language; which is a shame, because again, it's a wonderful, safe, language.
Laptops for 2024
The laptop buzzword of 2024 is "AI PC" — notebooks that have neural processing units (NPUs) for AI-related tasks. But while it's smart to be aware of those systems, there are far more important things to consider beyond AI-savviness. It turns out buying a computer in 2024 isn't really that much different than in recent years: You'll still want to find a system that balances power, weight and screen size with your computing needs.
Take one more sir.
This study assumes 54.8 TWh of hydrogen storage, good luck with that.
Then let me remove posix semaphores and replace it all with futexes. It'd be great to not need a file descriptor every time one of my threads wants to wait on a mutex or condition variable.
That beautiful article title alone was enough to get me to check out the rest of the site. It seems like a great website.
i think this depends. for most people, i would agree. but for people who were destined to be great founders, it's a terrible idea because working for big companies will inevitably condition you to do things a certain way. if you're someone who is smart enough and truly destined to be a great founder, starting from a blank slate and finding your own unique way of doing things is how we create new processes and systems and ideas that has never been done before. i don't think mark zuckerberg would have benefitted from working for big tech before starting fb.
Why people tend to appreciate men's humor so much more than women's
You do have to upgrade. At some point incompatibilities between libraries arise, and if neglected for too long at some point it becomes impossible to update everything. Keeping dependencies up to date is an important part of software maintenance.
I received an 8 channel ESP32 board today that I’m planning to use to replace the failed ~25 year old control board that failed in my hot tub.
> ~26m vs ~60m per year

Sounds like Steve Jobs was right about trucks.

Personally I find the iPad is my go-to "I don't need a keyboard for this" machine.

Kids (and adults) also like them as handheld gaming and streaming devices.
This is a very interesting policy. Where to draw the line, though? I.e. how advanced can an auto-complete be in order it to be considered "AI"?
This sounds like you don't understand what Copilot is. It doesn't write software from scratch. It's just a fancy autocomplete.
Hmm, I’d recommend the opposite. I don’t think you’ll ever full recover if you start your career at a large company and start to believe that that kind of dysfunction is normal.

Startups have issues too, but they’re more often related to the technical parts, which you can actually do something with and learn from early in your career.

If you go to the large company what you learn is navigating their particular brand of process.
One thing OpenAI is beating Google at is actually publishing pricing for its APIs (and being consistent as to what they are called.)

Google has I think 10 models available (there’s more than ten model names, but several of the models have multiple aliases) through what the Google Cloud console calls the Generative Language API (the documentation calls it the Gemini API) – based on enumerating the model list through the API itself.

Of those, 3 have pricing information on the documentation page for Gemini API pricing, 2 of which are in preview so that pricing applies in the future.

Only one (the same one of the 3 on the documentation page that is not in preview) has pricing listed on the console for the Generative Language API. On the Cloud SKUs list, there is no Generative Language API, but there is for the Gemini API, with, again, the same one model. On the Cloud Price list which the console page links for the “latest pricing” (why are there so many different things?) neither the Generative Language API nor the Gemini API is listed at all.
How are bison different compared to grazing cattle? I am not thinking of factory farmed where dung and urine are getting mixed together (if I remember correctly, that combination causes some reaction that is particularly climate-unfriendly?).
Rather, imagine the kind of large herds in Argentina, Paraguay... So cows that eat grass and poop randomly in the wild, not cows that get rainforest soy / endless amounts of cereals.

Do they have different biology, different interactions?
Or is a numeric thing, where after a certain point the effect flips and they become a net "negative" (maybe required infrastructure, all the activities surrounding it rather than the animals themselves)?

Or is it actually so that grazing cattle and bison have similar effects, and the old "raising animals is very bad for the climate" is not universally true (and should be corrected to "some ways of raising animals are bad for the climate" or "raising animals is bad for its pollutants")?

I am confused!
Kind of feels like a local optimum kind of situation. If you do things the way the big boys do, you’ll forever be running after them.
Anhydrous redistilled hydrogen fluoride? No thanks!

Mind you: this is the stuff that, on skin contact, doesn't just burn you. It will immediately move through your skin to fuck up your nervous system, your organs, and your electrolyte balance to give you a heart attack.

If this synthesis were to kill me somehow, I'd rather blow myself up than get sprayed with HF.

Refer to [1] for more, unless you're easily disgusted...

[1] https://en.m.wikipedia.org/wiki/Hydrofluoric_acid_burn
iPads seem to require less technical support vs. laptops running Windows or macOS, and the simplified user experience can be beneficial as well.
The landing page looks very nice, and it’s a niche I’m interested in :) Voice quality is important though, do you have an example video of the final product?
i doubt it. it's easy to draw an analogy to early cars, or any kind of tech. revolution and say: "ahah, these folks are just like the Luddites, pbththth"

this is fundamentally different. this is a machine, a mathematical equation, that converts enormous amounts of history and facts into a facsimile of creation, thought, expression. it does it convincingly in very small doses, but it doesn't do it all that well. unless your task is to regurgitate something relatively mechanical.

a car was something new. a mechanical horse. it wasn't some distillation and averaging of every extant horse into some "perfect" mutant horse. it was genuinely new. it also wasn't a mirage or a hallucination.

AI is not a creative force, rather reductive. it's at best a tool. so if you want to copyright something or you want to contribute to NetBSD, sure, that's fine. but copy-paste of someone else? no matter what the underlying process, it's still wrong.
Is this somewhat compatible with other proposals, like haproxy or ietf?

https://www.haproxy.com/blog/announcing-haproxy-2-9#reverse-...

https://datatracker.ietf.org/doc/draft-bt-httpbis-reverse-ht...

Or piko implements custom upstream registering and require a custom application code to handle this channel?
yes https://remix.run/blog/remixing-shopify
> There will be a time in not-so-distant future when people look back at this kind of policy as silly.

Only if copyright laws are abolished, or stop being enforced completely.
Can you share your nixos config?
Provo built a municipal fiber network and then sold it to Google for one dollar, so I'm not sure that's a great counter example

> Provo taxpayers still will have to make $3.3 million in bond payments on the system each year for the next 12 years, even though Google will own the network.
DKIM headers can have an optional length parameter which says "the first n bytes of the message body is cryptographically signed", whilst allowing the rest of the message to be modified. I don't know if anyone actually uses it, though; I don't think I've ever seen or used it.

Also, DKIM can optionally be lax about whitespace.
Looking forward to seeing it on Windows and Linux then! I don't have a mac at the moment myself.

I actually had a similar idea to yours using python but ended up fizzling out on the idea after a bit as other projects came up.
If you think that what sets you apart from other developers is an AI autocompleting some of your code for you, then I'm not sure what your value proposition as a developer is. Typing the code is the easy part.
I've used it, it's absolute trash for anything but boilerplate yavascript.
Given that it's driven by copyright, the limit could be taken to be 15 lines, in line with the FSF's copyright guidance.

https://www.gnu.org/prep/maintain/html_node/Legally-Signific...
You might look up the sagas of Rocket Lab and other small launch providers if you're interested in what it takes to put ~200lb into LEO today. It's way beyond dad and son stuff, still incredibly hard, but not so much anymore that you need to be Boeing/Lockheed/SpaceX/etc if not a national agency. This is a recent achievement.
That's very impressive amount of solar capacity, but the nameplate power is not super useful measure in solar, as the capacity factor for solar is somewhere between 10-15% in Germany, while for nuclear it's more like 90%. To get rid of fossil fuels in Germany, a ton of natgas heating would need to be replaced with electric heat pumps, driving up the power consumption during winter. Solar hardly produces any energy during the winter.
I think ultimately text is too structured by itself to be able to understand whether it's AI-generated or not. You can easily tell LLMs to write in a different style or even give examples, and they'll happily oblige. Those tools are mostly useful for filtering out the laziest users who haven't tried playing around with the models enough.
For real. I want more companies like Valve. Not publicly traded, not trying to squeeze every last dollar for the sake of it, just doing what they think is cool when they want to do it.
How much processing do wastewater solids require to make them safe for agriculture? It is an expensive process?
This is a wise short-term solution to prevent potential legal exposure. Long-term, I think we will need to figure out how to deal with IP in AI-generated code.
Microsoft declared they will assume liability for commercial customers who can prove they complied with all relevant requirements. You just showed why a broad policy is safer.
Hackers: Heroes of the Computer Revolution - there is a great chapter on Sierra and also Atari if i remember correctly.

Jordan Mechner's The Making of Prince of Persia
The problem is that once the odds of benefiting from early detection is low enough, and the rate of a given condition is low enough, it takes very little for other things to dominate.

E.g. how many of them end up leading to unnecessary biopsies, or scans that are themselves introducing a risk?

For any condition there will be a threshold where too much screening becomes harmful because you're doing so many unnecessary tests that rare errors / accidents come to dominate the benefits.

The question isn't if there's a threshold where more scans do more harm than good, but where it is.

For some things, increased screening will be unambiguously good. For some it takes work to figure it out.
> It knows it’s SoMe, so why not give me the headline?

There's certainly a non-zero number of times this could go horribly wrong (I'm guessing CarPlay doesn't have any sense of who is in the car with you) and defaulting to not reading them out is the safest option (but they could definitely add a toggle for this, yeah.)
Average salaries have risen meteorically in the past 10 years though. Now instead of €45k per year you can expect to earn €90k!
Utopia provides an active ethernet connection to each subscriber with the specified bandwidth. This is superior to most fiber deployments, which are passive optical networks (GPON) where groups of 16-32 homes share a connection (usually 2.4 Gb down and 1.2 Gb up).

I live in Utah and actively worked to get fiber in my small city. Utopia requires cities to guarantee a take rate (40% if I recall correctly) and taxpayers must make up any deficiency. I've never heard of taxpayers actually doing that but it was enough to scare people from adopting Utopia in my city.

Ultimately what brought fiber to my city was covid. The monetary tsunami unleashed by the federal reserve and the government made it possible for a local private company to build a fiber network. I just got hooked up last week. It is great.

The other thing that happened is that the wireless companies offer high quality internet service. For a time I had both Comcast and T-Mobile home internet. I regularly got speeds of 1.2-1.4 Gb down on T-Mobile (100 Mbps up). Verizon also offers home internet but it was too unstable when I tried it.

All this is to say that I have three high quality Internet connections at my home (fiber, T-Mobile, and Comcast), one marginal connection (Verizon), and one garbage connection (Century Link; however, they have also been installing fiber in the area). Competition is great!
It's also the boring part, so we might aswell automate it, right?
Objecting to people providing their own infrastructure where private companies have failed to do so, because at some undefined point in the distant future those same companies hypothetically could offer better service is the most worm-brained thing I've read in awhile. If the 10gbps network isn't fast enough in 10 years (already a hilarious premise), the same citizens who voted to invest in muni fiber to begin with could choose to increase their speed/capacity.
This would make for an excellent tabular XKCD piece.
Show HN: Codemap – A Powerful Code Visualizer
I want to share a tool I built, Codemap, that visualizes the function call stack of any codebase as a graph. Without any manual steps, it automatically parses a codebase and renders a high-level graph that engineers can interact with, great for understanding the high-level code flow. Supports many languages (Javascript/Typescript, Python, Ruby, Go, Terraform) across major platforms (Mac, Linux, Windows).

Most importantly, the Codemap parser runs on your local machine to eliminate any privacy and security concerns, in contrast to other code analysis tools built on cloud with AI/LLM. After all, code isn't something to be easily shared.

I submitted this idea in 2020 when it was still a prototype (HN link: https://news.ycombinator.com/item?id=24241997), but a lot has changed since then, most notably:
* More language support (Ruby, Go, Terraform). Particularly, it can visualize the entire cloud infrastructure by parsing Terraform code, which was helpful to my team as navigating a large Terraform codebase isn't always straightforward.
* Supports the file-level graph. I found this most useful for frontend engineers who manage large number of React/Vue/Angular components because, often with one component per file, the file-graph is essentially the component-graph!
* Supports Windows, one of the most asked features.
* Supports free use without any account sign-up. That said, there are 2k users with a constant flow of new users.

Please let me know what you think. Any feedback is welcomed!
Kernel.org servers infected with backdoors for two years from 2009
Maybe, but improving something by 50% in a startup feels much better to me than improving it by 1% in a large company, even if the absolute number is ultimately higher.
We're all on on https://www.sigmacomputing.com/ bc we don't like hosting/managing/provisioning essential tools like this + this seems more complicated to configured.

I would recommend a simpler setup like Metabase Docker (which I re-evaluated recently): https://www.metabase.com/docs/latest/installation-and-operat...
The objection to cisgendered is that it is based on the disputed belief that the categories of woman and man are further split into the subcategories trans and cis. Such that what was previously understood as woman (as in, an adult female human) is, per this belief, cis woman, and man who desires to be a woman (or some similar description) is now trans woman.

Many people who don't hold this belief oppose being referred to as cisgender or cis woman or cis man or cis, because it implicitly regards this belief as being true.

This is unlike the term atheist, which acknowledges that theistic beliefs exist, but doesn't imply that any of these beliefs are true.
Nuclear operators try to minimize losses of the shutdown by not replacing parts that are still workable until the shutdown. When you know of the impending shutdown, you can plan for the plant to be as EOL as possible. If you plan for long term use, parts are replaced gradually so that there's no big revamp pending.
Transfer payments, rent, dividends would provide income. People would then use it to buy things just like they do now.
My body sometimes has a pretty negative reaction to the lactose in milk.

But I like milk, and milk products. I like the taste of it, the ease of it, and the way it makes me feel. It's nice for me, or at least it is until (some time later) it is not nice anymore.

So, I keep inexpensive tablets that contain the lactase enzyme in my kitchen.

Eating one of these tablets around the time that I consume milk completely eliminates the messy unpleasantness that lactose has on me. Poof, gone.

I don't think it's strange at all to do this. In fact, learning that I could easily (and very selectively) deal with my problems with lactose has made a pretty huge improvement in my quality of life.

Why would you think that taking something to remove the unpleasantness of alcohol would be any different, functionally?
Hmm, I find certain stacks are much easier to reliably build reliable products with.
Do you think this 1M monthly Spotify artist is now creating with AI?
A favourite artist of mine has just released a new album [1] that has raised some red flags, suggesting it may have been created exclusively using AI, possibly even Suno.

The reasons for the red flags are:

- Each song on the new album has a 'lossy' sound that, from my experience, all Suno songs have. This contrasts with their previous albums where the music sounded rich and full.

- Each song is no longer than two minutes which from my experience is the maximum length for Suno-generated songs.

- Some songs end by fading out, as if they had to be cut short due to the two minute limitation.

[1] https://open.spotify.com/album/5mhK6M9ZGRD5fpukPsqLdq
It's not really that clear that LLMs would be particularly useful at generating the type of code someone working on NetBSD would find useful. They don't really seem to excel at writing memory safe(ish) low-level code or solving any novel problems

(and for boilerplate there isn't any fundamental difference between copy-pasting it from ChatGPT or anywhere else copyright wise since it's practically identical and unverifiable)
A thought about this:

Maybe in some far away galaxy, in a planet with much lower temperatures, intelligent life has evolved based on reactions like these, and some chemist there is writing about how long chains of carbon and hydrogen are for the most part useless as they're solid and inert at their temperature
I always find this ‘left behind’ thing funny - as if whipping out a credit card for an ai tool is a skill only gained by early adopters.
They point to copyright/licensing concerns, which I do understand considering the way datasets for most currently popular LLMs have been sourced, i.e. large-scale crawling of any accessible source. In that light, most smart code completion offerings should be fine since they historically did not rely on as broad and widely crawled a data set and were generally offered with clear licenses attached. Also, the number of lines these provided historically was lower, which appears to be part of their concern.

In the same light, I feel that LLMs that have been solely and verifiably trained on M̶I̶T̶ MIT-0 or 0BSD should be fine, and this may just be a temporary decision until those become more commonplace.

In general, though, this will be hard to enforce, but I do understand why they took this stance considering the current flock of LLMs and their training data. Drawing a line in the sand on licensing, even if they cannot truly ensure this with absolute certainty, is understandable and feels appropriate for them, especially considering LLMs have now been in common use for coding tasks for multiple years, so this does not seem to be a knee-jerk reaction.
That's between 1.5 and 2 million tonnes of hydrogen .. in a world that currently produces about 74 million tonnes of hydrogen annually already.

There are multiple sources for those interested, https://www.carboncommentary.com/blog/2021/6/11/some-rules-o... is a brief dot point page, the Hydrogen UK and European Hydrogen Backbone reports are longer more detailed technical report papers.
It's just the syncing between iCloud and NSA servers had a glitch.

Nothing to worry about here, move on. Look! Our new iPhone, it has Titanium!

We value your privacy, yada yada.
This seems like the only reasonable choice while law is not yet settled.
You got that backward, more people would have to switch in the small car country. Confusingly, that could be an argument for prioritising change in the large car country - if the smaller number of people made the change easier - but I don't think it would, anyway.

You originally said "a larger change to the structure of society" is required if a country emits more carbon per person, and I said this was balls because America could be doing it in exactly the same structural way as China, only more of it. For another example, suppose China is exactly identical to America apart from having an extra 1 billion very poor people who emit no greenhouse gasses at all. Now is there any reason the burden of responsibility, or priority for change, falls on America instead of on that version of China? I say no, that would make no sense.
you can try out https://huggingface.co/datasets/BAAI/SVIT which appears to support commercial. I've not tried it yet, but it seems to be an option.

If you build a smaller model, you should need much less than 18 A100s for 24 hours, though I don't disagree you'll need at least a few.
Show HN: I made a site to collect all the factoids about the number 37
37 is a magical number, it is EVERYWHERE!!! if you notice a random 37 in your life somewhere, submit one!!