skysight-inc/HackerNews huggingface dataset:
Choice is over rated. This gets to an issue Ive long had with Nozicks experience machine. Not only would I happily spend my days in such a machine, Im pretty sure most other people would too. Maybe they say they wouldnt but if you let them try it out and then offered them the question again I think theyd say yes. The real conclusion of the experience machine is that the unknown is scary.
Yes of course, and lobbyists can be very effective. They covered up climate change and the harms of smoking too. I'm sure there are things that (almost) nobody knows today because of corporate cover-ups that we'll discover in 10 years. Climate change didn't enter the public consciousness until the late 80s, decades after the basic science was well-established, and it took more decades for it to become something that "everyone" knew about. That's the fault of corporations and lobbyists, not individuals that were too lazy to do their own climate modeling.

It is obvious to me that smoking is bad for you, it feels like an intuitive fact that nobody should have to be taught, but that's because I grew up in a culture absolutely saturated with that idea, and I didn't know anyone that smoked. Somebody who grew up 70 years ago in the complete opposite culture can't be blamed for not knowing at the time that smoking causes lung cancer. How could they know? Nobody can follow cutting-edge research from every field on the planet and adjust their life accordingly. Even if you could it wouldn't help - cutting edge science is often contradictory and it takes time for a consensus and convincing body of evidence to build up. I'm sure both of us hold intuitively obvious beliefs that we'll realize are wrong in 20 years.

What is the solution? It's not helpful to wait until after a coverup is exposed and then blame every individual who didn't somehow figure it out on their own. You also can't just believe the opposite of everything you've ever been told - you'll have the same problem. Some things that corporations produce are actually good for you, lobbyists are occasionally paid to promote something useful and true. Your parents were probably right about a lot of stuff they taught you. You can and should ask questions and learn as much as you can, but life is complicated, nobody can be deeply educated about every single thing they touch.
Says the man who has settled in the basement.
my gut feeling is that there's something to this

the whole enteric brain idea, has been around for a while, and my understanding is that there are neural "nodes" conected around the abdomen that collectivly have the same number of nuerons as a cat
Making a parallel Rust workload even faster with data-oriented design
Not OP, but with supercapacitors you're talking about a wildly different amount of energy. A 5F/5V cap stores about 62 J, while a 2500mAh 1.2V AA battery stores 10 kJ. With three of them you can store almost 500x as much energy.
Maybe i misunderstand, but it doesn't seem like the linked document supports what you are saying. The linked docment also doesn't describe how things work in WAL mode which is how most people would (or should) use sqlite in production.
Yep. There is the idea that you could get little primordial black holes (that maybe weigh as much as a mountain and could be evaporating now) and the idea that you could get huge primordial black holes. Also the occasional strange idea that the universe might be cyclic (not too fashionable but can fill the hole left by inflation) and that black holes can survive the crunch.
Yes, real time updates, filtering, and multi vector support make most of these on device, in memory approaches untenable. If you really are just doing a similarity search against a fixed set of things, often you know the queries ahead of time and can just make a lookup table.
My understanding is that no model-dependent theorem of ZFC or its extensions (e.g., ZFC+CH, ZFC+¬CH) provides any insight into the behavior of Turing machines. If our goal is to invent an algorithm that finds better algorithms, then the philosophical angle is irrelevant. For computational purposes, we would only care about new axioms independent of ZFC if they allow us to prove additional Turing machine configurations as non-halting.
Holy crap. What a terrible system and I hope my part of the world never implements such forms of tech.
The `ssh-import-id` package is the basic mechanism for this.
One thing I know is that there wouldn’t be machines entering IMO 2025. The concept of “marker” does not exist in IMO - scores are decided by negotiations between team leaders of each country and the juries. It is important to get each team leader involved for grading the work of students for their country, for accountability as well as acknowledging cultural differences. And the hundreds of people are not going to stay longer to grade AI work.
"we've yet to find any evidence of projectile use amongst Neanderthals, especially bow and arrow"

Interestingly, the same is true about their contemporary Homo sapiens sapiens competitors. There is no evidence of use of bows and arrows in Europe until way after the Neanderthals died out.
Observability 3.0
You're right. I installed the XCode command line tools as one of my first actions after getting the machine. I didn't realize that Python was no longer part of the stock configuration.
Using LLMs to Make Truly Random Decisions
> managing hardware vendors, logistics, and delivery dates on an ongoing basis is a giant time suck

You can rent servers and it's still not cloud.

I'm pretty neutral and definitely see the value of cloud. But a lot of cloud proponents seem to lack, what to me, seems like basic knowledge.
What is a "need"? I'm sure you can imagine why this could be useful. Is this life-changing? Does anyone need it? Probably not.

Your comment just makes you come off as some narrow-minded, graybeard elitist, and possibly even a little bit dumb, given how obvious it is why this could be useful. "New programmers", etc. Why not just .. not comment instead? Literally the easiest thing in the world for you to do since it requires you to do nothing.
It either improves the results or it does not, i don’t think i see the problem.
The author is an anti-"woke", Austrian-school libertarian cultist, social media stoic who thinks that women only exist to be semen receptacles.

Based on his online footprint it appears as though he is obsessed with women's fertility to the point of derangement.

This is odd because an actual libertarian (and not just someone using libertarianism as a shield to deflect criticism of their fucked up views) would view the right of the individual to control their procreation as an absolute.

He's the kind of podcasting loser who claims to be an expert on masculinity despite having never done a single culturally-defined masculine thing in his entire life.

To him the problem with the medical system is that the insurance companies have more than zero regulations covering them.

Trying to have a productive conversation with someone like this has about as much value as trying to convince a member of Heaven's Gate that chopping off their penis is a bad idea.

And the evidentiary weight/correctness of his statements is the same as Heaven's Gates' on Comet Hale–Bopp.
Are you asking about something different than up-arrow or the 'history' command?
Enough water to fill trillions of Earth's oceans found circling a black hole
Algorithms can determine whether a whiskey is of American or Scotch origin
Bioinformaticisn here. While Perl has been popular in the field, R, Python, C/C++, and recently Rust are more common these days. I think it mostly has to do with the fact that bioinformatics used to be mainly dealing with huge text files (FASTA, FASTQ, SAM, BED, GTF/GFF, etc.), and for that purpose Perl is not a bad choice.

As the cost of sequencing keeps coming down, we sequence deeper, and the computational demand goes up. Plain-text is replaced with binary formats, and most of the heavy lifting is now done by compiled libraries. The benefits of Perl aren't really relevant anymore, and given the choice most of us simply prefer writing Python or R.
If I understood you right, some terminal emulators support this:

https://codeberg.org/dnkl/foot#jumping-between-prompts
For most self help / productivity books, I agree pretty strongly with this take. A lot of those types of books (Atomic Habits, Getting Things Done, Measure What Matters as some examples) often feel like they could have been reduced to a blog post, or series of blog posts at most. They were good books, but I did feel like there there was some padding to slog through in each chapter.

Usually, the point is communicated fairly quickly a few paragraphs into the chapter and then belaboured for pages with one or two anecdotes that don’t lend much more weight to the strength/validity of the point for me.
What are you using for HNSW? Is the implementation handwritten? I’ve seen people using it well over XXm at full precision vectors with real time updates
Show HN: Convert podcasts to newsletters with Gemini (FREE)
Podcast2Newsletter

I found some other tools that turned a podcast into a newsletter, but they all forced you to pay, and there was no bring-your-own API key option. I decided to make my own open source version. I am in the early days of developing this project, so any help/feedback is greatly appreciated.

Why P2N?
There are a few reasons why my implementation is better than the others on the market.

- Open-source: The project is completely open source so you can contribute

- Bring-your-own API Key: You can bring your own API key for google gemini, which you can get both a free and paid key for

- Simple to use: Just install dependencies and ffmpeg, and then run it! It is that simple.

- Active development: I am actively developing P2N, so you can always have the best experience.
A token of goodwill for compliance with GPL. If they actually cared about the community they would share the spec for Xochitl docs and such. Instead some blessed few in the discord know people at the company and get some info through back channels for the UI bits and the rest is cobbled together reverse engineering. Some people seem fine with that but coupled with their robo-law firm sending C&D takedowns to community sites where people share content they have created for reMarkable™ tablets and it left a bad taste in my mouth. Glad others have had better experiences.
Was that about health concerns, or pollution and environmental concerns? Obviously health and the environment are very related, but what I mean is that even the term "microplastic" didn't exist when you were born, and I thought the idea that consumption of or close contact with plastic could cause individual health problems was relatively new. Not that literally nobody had thought of it, but my impression is that pushback against plastic for most of its history was driven by giant piles of trash that don't biodegrade, turtles getting stuck in soda packaging, stuff like that.
Interesting that the old one is moving slower, and has to keep cutting ahead to stay in sync - at first I thought it was just an illusion by different spacing of support struts passing in parallax
For humans: Oh these fifteen different tools don’t give remotely uniform output, but come on it is trivial to transform them just use some sed and awk and cut—wait, you got Perl right? No, you don’t need to know Perl, you just need to use these six switches and remember the structure of these one-liners. ... Oh, it choked on some weird whitespace at the beginning of the file that wasn’t “regular space”? Right, did you get that file from a Windows user by any chance? ... You tried to parse ls output by multiple columns? No ugh come on, ls output is different stdout is not going to a terminal, what the hell are you doing?

For AI: Your content is written in unsemantic HTML with too many divs! My poor little genius LLM got all confused, aww honey... will you fix your dang content, please? Can’t you see that she is hurting?
IVF, unfortunately, is barely compatible with filtered search.
It have to rely on post-filtering and retrieve more and more candidates if the result set is not big enough. If the query is in some form correlated with the filter, this approach quickly degrades to brute-force.

Surprised that the article doesn't mention filtering use-case at all.
because their similarity in language with Bulgaria helps performing convincing scams
> Since the license is CC-BY, I don't actually know how much ownership matters, but for the time being, I am the camel's steward.

https://creativecommons.org/share-your-work/cclicenses/#:~:t....

> BY: credit must be given to the creator.

So, is the "owner" the legal "creator"?
But I like Perl, and I'm never giving it up.
1.15B artificial neurons arrive at Sandia
No, because right now I'm working closely with some EEs to troubleshoot electrical issues on some prototype boards (I wrote the firmware). They're prototypes precisely because we know the limits of our models and simulations and need real world boards to test our electronics design and firmware on.

You're suggesting the new, untested models in a new, untested technological field are sufficient for deployment in real world applications even with a lack of real world data to supplement them. That's magical thinking given what we've experienced in every other field of engineering (and finance for that matter).

Why is AI/ML any different? Because highly anthropomorphized words like "learning" and "intelligence" are in the name? These models are some of the most complex machines humanity has ever produced. Replace "learning" and "intelligence" with "calibrated probability calculators". Then detail the sheer complexity of the calibrations needed, and tell me with a straight face that simulations are good enough.
it's to maintain the legality of the arms-length ability to do jailbreaky like thinks when a 3 letter agency asks.
Yes,

That is the "reality" - that because companies can train their models on the whole Internet, companies will train their (base) models on the entire Internet.

And in this situation, "having heard the problem" actually serves as a barrier to understanding of these harder problems since any variation of known problem will receive a standard "half-assed guestimate".

And these companies "can't not" use these base models since they're resigned to the "bitter lesson" (better the "bitter lesson viewpoint" imo) that they need large scale heuristics for the start of their process and only then can they start symbolic/reasoning manipulations.

But hold-up! Why couldn't an organization freeze their training set and their problems and release both to the public? That would give us an idea where the research stands. Ah, the answer comes out, 'cause they don't own the training set and the result they want to train is a commercial product that needs every drop of data to be the best. As Yan LeCun has said, this isn't research, this is product development.
Training Software Engineering Agents and Verifiers with SWE-Gym
We present SWE-Gym, the first environment for training real-world software engineering agents. We use it to train strong LM agents that achieve state-of-the-art open results on SWE-Bench, with early, promising scaling characteristics as we increase training and inference-time compute.
Buying still has a ton of tax advantages and gives people access to an incredible amount of leverage that they wouldn't be able to get otherwise.

For what it's worth, I don't disagree with you, and I think renting makes more sense than buying right now for the first time in decades, but it's just by a hair.
I don't think it is at all selfish to want to get some credit for going to the trouble of publishing novel content and not have it all stolen via an AI scraping your site. I'm totally on your side and I think people that don't see this as a problem are massively out of touch.

I work in a pretty niche field and feel the same way. I don't mind sharing my writing with individuals (even if they don't directly cite me) because then they see my name and know who came up with it, so I still get some credit. You could call this "clout farming" or something derogatory, but this is how a lot of experts genuinely get work...by being known as "the <something> guy who gave us that great tip on a blog once".

With AI snooping around, I feel like becoming one of those old mathematicians that would hold back publicizing new results to keep them all for themselves. That doesn't seem selfish to me, humans have a right to protect ourselves and survive and maintain the value of our expertise when OpenAI isn't offering any money.

I honestly think we should just be done with writing content online now, before it's too late. I've thought a lot about it lately and I'm leaning more towards that option.
DivestOS Ends Development
DivestOS announces its final update. It and its apps (Hypatia, Carrion) will not receive any further updates. Non-mobile Divested projects (e.g., Brace, D-WRT, real-ucode, and DNS blocklists) will continue to be maintained. Forum threads will be closed, and the DivestOS XMPP chat rooms will also be turned off. Donations will no longer be accepted, and all recurring donations will be cancelled.
What are side-effects but undocumented arguments and returns?

Firstly, you want to ensure your functions are pure with respect to input. That is to say, they might reference a configuration or context object that is passed to them as an argument, but they'll never reference some global object/variable.

So then the docker image inside some docker registry? Both the image and the registry are values in the config/context argument at the least. Maybe they're their own separate arguments depending on whether you prefer a single big object argument or a bunch of smaller more primitive arguments.

So then the pure function that expects the docker image to exist in some registry is no longer

Int -> Int

It's now

String -> String -> Int -> Int

because it needs a registry and an image. Maybe it's

String -> String -> String -> String -> Int -> Int

because there's a username and password required to access the registry. Icky, but if we make a few types like

data Registry {
user :: String,
password :: String,
url :: String
}

that becomes

Registry -> String -> Int

But we could make it better by doing something like

data Foo {
reg:: Registry,
image :: String
}

and now the function can be

Foo -> Int -> Int

This doesn't fix the image not actually existing in the registry, but at least now we know that the two functions aren't composable, and when it fails because the image doesn't exist we can hopefully trace through to see who the caller is that's giving it incorrect data.

PS: sorry if i got the haskell typing wrong. I don't know haskell so that's the result of what i could cobble together from googling about haskell type syntax
Woah! Thanks for pointing this feature out. This will be super handy to skip large amounts of output.
How much faster is writing cursive than block letters?
Part of the issue is that "bootstrapping real oauth with ssh" is something people actually want, so there's some (unearned) disappointment in finding out that this isn't it.
The selection is going to be based on wealth, not on genes.
You don't, but it can be helpful if you find a critic that strongly aligns with your preferences, or even strongly misaligns with your preferences. Just like a reccomendation from a friend, you can use it to consider if something is worth even giving a try.

https://youtu.be/lG2dXobAXLI
I never read any of these articles, but I also never use plastic cookware.

Heat does leach plastisizers and other chemicals into food.

Microplastics do move from cookware into food.

I have a set of pots/pans and accompanying utensils, all stainless, that I've used for decades, and plan to use for the rest of my life.

This also constitutes a reduction in constantly produced plastic waste.

Try not to use ANY plastic...
Did you build this for Christmas?

Because I did. For the kids. Not exactly the same:

1. Put in any ebook, in any language.
2. LLM translates it into German.
3. XTTS turns it into audio.

Devil’s in the details, of course.

I’m usually very picky about translations. Many books that I’ve read in English and wanted to gift to someone in my family have turned out so rotten in their translation that their “soul” was lost. Against that background, I am very pleased with the results.

Cost: About $0.20 per book. A bit more if it’s Asimov’s New Guide to Science.
SIMD-accelerated search over binary vectors is very fast and you can fit a lot in memory. Then rerank over f32 from disk.

I tried a few alternatives and found that SQLite + usearch extension wins for my use cases (< 1 million records), as measured by latency and simplicity. I believe this approach can scale up to hundreds of millions of records.
I worked at Nordstrom for 8 years, first in customer service, then in IT, then in engineering. I think this is a good move. The Nordstrom family cared a lot about the brand and the customers, the shareholders didn't. Things were really going downhill when I left. I hope they can get the boat righted.
Hope you don't need surgery then! Suture training kits like these are quite popular for surgeons to train on. https://a.co/d/3cAotZ0 I don't know about you, but I'm not a rubbery rectangular slab of plastic, so obviously this kit can't help them learn.
Perplexity is listed, but do they actually abide by llms.txt? And how can we prove they do? Is it all good faith? I wish there were a better way.
This is the ultimate propaganda machine, no?

We’re social creatures, chatbots already act as friends and advisors for many people.

Seems like a pretty good vector for a social attack.
Is this doctor able to learn new information and work through novel problems on the fly, or will their actions always be based on the studying they did in the past on old information?

Similarly, when this doctor sees something new, will they just write it off as something they've seen before and confidently work from that assumption?
Dedication and a cutter knife do it. I did it myself, twice.

Once while it was soldered into a mainboard :P
https://www.bbc.com/news/science-environment-53450688
In large companies I have seen a related pattern. Usually a mid-level engineer that the managers love because they "get stuff done".. meanwhile they are a bulldozer in the code, usually with some "ship-it" buddy green lighting the work.

The reason they can "move fast" is because everyone else is trying to limit complexity, etc. and they are punching holes through the abstractions.

Then turn into your "Pete" when they get promoted...
I am disappointed I couldn't find any of the OPUS games by SIGONO on your website. Though I think some (or at least OPUS: The Day We Found Earth) were temporarily removed from the play store.
Terminal.app on macOS can do this with Command + up-arrow.

(IIRC this is technically just a hotkey for navigating marks or bookmarks or something, and it (book)marks each command.
It's telling that nearly every site listed is directly involved with AI in some way, unsurprisingly the broader internet isn't particularly interested in going out of its way to make its content easier for AI companies to scrape.

Deliberately putting garbage data in your llms.txt could be funny though.
llms.txt has a section on "Existing standards" which completely forgets about well-known[0], there's an issue opened three months[1] ago but it seems it was ignored.

[0] https://en.wikipedia.org/wiki/Well-known_URI

[1] https://github.com/AnswerDotAI/llms-txt/issues/2
> For example, the typical distance computation complexity between two D-dimensional vectors is O(D^2), but compressing floats into bits reduces this by a factor of 1024 (32x32).

This isn't right, cosine distance between two vectors is definitely O(D)…

Of course replacing float multiplications with xor+popcount is a nice speedup in computation, but assuming you're memory bandwidth limited, speedup should be linear.
Swap out FAISS with usearch, you get all the awesome SIMD acceleration (via dynamic dispatch), optional compression. Not affiliated but really cool tech.

https://github.com/unum-cloud/usearch