HN user
drink more water. let your computer have a little too, as a treat
Nice! I wanted to share a link to Ripple Effect Hard with my time (23:47), but it seems the URL only captures attempts, so there's no real way to link to the puzzle itself.
Might be useful to
- add a wordle-style 'SHARE' button, and/or
- make the canonical URL that of the puzzle (and only the attempt on completing/abandoning it)
According to the wiki [0], "This is a less interesting sequence and is less likely to be the one you were looking for."
Confusingly, "more" means "please add more terms"...
"Musk accuses Altman, Brockman, and its major partner Microsoft of breach of charitable trust and unjust enrichment in the lawsuit" [0]. But of course Musk runs an AI for-profit himself, amongst many other things he has done and said. So this is a very reasonable case with a very unreasonable plaintiff.
As a current juror I really do not feel for how long jury selection might have taken here, and I can imagine deliberation will take longer yet.
Let the funding go to some actual charitable foundation which offsets the very real negative externalities of large-scale AI, I say. That seems most likely to benefit humanity.
[0] https://www.theguardian.com/technology/2026/apr/27/elon-musk...
This project is essentially "give me some metadata & a command which takes env $PORT, and I'll handle the rest". Which is neat!
I am also sick of handling port numbers - I end up allocating them on a schema to different services, so for testing I can spool any VM/service combination and avoid crossover. But if I want the same service twice, ah...
It always fascinated me that ports don't have any kind of textual resolver, so you can bind to `:1234` and also say "please also accept `:foobar`". But that would itself require some kind of "port resolver" on a device, and that's another service to break and fix :)
I thought so too at first. It is definitely something interfaced on top of Tauri[0] with some sort of 'server-side logic' framework[1]. But looking at Tauri's site, it is really hard to disentangle if PyWry is a binder about WRY[2] or not.
"OS-efficient cross-platform HTML-based UI toolkit" is a great technological thing, but neither PyWry and Tauri's sites make that clear, or meaningfully advertise what they do. Which is a shame, because there is myriad software which might benefit all to use this.
[0] Tauri is akin to Chromium, I think? https://tauri.app
[1] and also a rather large amount of LLM integration; the source for PyWry has a whole section for Claude bindings
[2] the Webview Rendering librarY (WRY) used in Tauri https://github.com/tauri-apps/wry
Reports being weaponised is a big issue with asymmetric (report-only) systems, but at least here there seems to be a “report as not slop” button.
“Symmetric” user reporting is dearly needed in some websites; as you say something can be mass-reported with no real recourse.
The physics engine mentioned towards the end, Jolt Physics [0] is used in the frankly blockbuster games Horizon: Forbidden West and Death Stranding 2 and yet opens its description with
Why create yet another physics engine? Firstly, it has been a personal learning project.
which is really rather wonderful and inspiring to see.
If every website needed verification, why not simply move the verification to the device or ISP level? This seems like an authoritative move to track users across websites, and another good reason to keep using a VPN.
Certainly a terrifying amount of responsibility and upkeep for each individual website. If the UK wishes to establish this and not want it to lead to an insane amount of privacy leaks, it should consider developing a technology that makes it work in a privacy-respecting way, like the European Age Verification Solution [0]'s Zero-Knowledge Proofs.
I prefer to default to `develop` and then eventually branch out to `release`: that way my branch names are pretty explicit. It seemed silly to me to start with a "central" branch, no matter the wording, because that's not actually how Git works (and it's rather uninformative).
For... some in the comment section, please recall the HN guideline: "Comments should get more thoughtful and substantive, not less, as a topic gets more divisive."
"Good deed math" feels like it drives legitimacy from some intrinsic sense of 'goodness', which to my ken looks de-emphasised in Franklin's model. Each act is a deed unto itself: a good deed and a bad deed do not counteract or excuse one another in some cosmic calculus.
The only link is the person -- that their acts inform their thoughts and habits, which informs future acts. In this case "good deed math" is likely a post-hoc rationalisation, predicted by the Franklin model but not exactly encouraged.
This is fascinating, but the title and URL might be better if they're of the article this links through to rather than a discussion:
"Fantasy or faith? One company's AI-generated Bible content stirs controversy" https://www.npr.org/2025/09/07/nx-s1-5518263/ai-bible-christ...
I found this article while making my way about Wikipedia (as you do).
It's ice that burns: cages of water trapping methane, and indeed the largest non-atmospheric store of it on earth. It forms interesting fractals under a microscope, has subtle and historical climate effects, fosters methanotroph communities. It has commercial interest for methane extraction and may work well for static methane storage.
A fascinating topic to stumble upon!
I took a brief gander at its code [0] and saw it mainly focusses on k-means clustering algorithms (in JS, no less). To my ken this is likely for suggesting new tabs, something a user is even less likely to use than renaming them.
Its constant drain even when not 'in use' seems to imply it's classifying tabs as they change page (though it might be telemetry or uncommented testing). If so, it's an example of premature optimisation gone very wrong.
It's a shame, because it overshadows the fact that naming tab groups is a perfect use case for an LLM, alongside keyboard suggestions and reverse dictionaries [1]. I'm ardently distrustful of LLMs for many, many purposes, but for the tiny parameter and token usage needed it's hard to not like. Which is a shame it's (somehow) such a drain.
[0] https://github.com/mozilla-firefox/firefox/blob/7b42e629fdef... exports a SmartTabGroupingManager, though how or why that is used without being asked eludes me
[1] https://www.onelook.com/thesaurus/ Can be helpful in a pinch when a word's on the tip of your tongue, though its synonyms aren't always perfect.
Having just taken an IQ test out of curiosity, they strike me as testing very little beyond the ability to pattern recognise and extrapolate.
Having pattern recognised and extrapolated to my perception of the wealth-happiness curve, it seems that when your wants are met by your current wage, wanting more money is paradoxical -- it requires either time or stress that take away from the many other richnesses of life.
A little ambition (and savings) is good -- you can't recline too far back into the comfort zone -- but wealth never struck me as a particularly important measure of a person.
he’s a VTuber, a fully virtual personality powered by artificial intelligence.
I have only a _passing_ familiarity with VTubers (my friend is one) and this is obviously and patently wrong. A VTuber is a YouTuber with a virtual avatar; no more, no less.
The article goes onto correct itself, but it’s a bit disheartening to see obvious misuse of terms in the first sentence…
An amendment proposed by congress [0] very specifically disallows a third term if the first two were consecutive. It's all been very cynical in that way.
[0] https://www.congress.gov/bill/119th-congress/house-joint-res...
Speaking as someone not from the country, US federal politics has became alarmingly... gerontocratic. Which means the younger generations get fewer chances to grow political acumen and expertise (unless, of course, they have backing). Which only hurts the rest of the country in the long term.
LLMs by their nature are good at word or concept association. Cohesiveness in length is where they begin to break down.
I tend to liken them to very drunken scholars. They know things, usually at about a Wikipedia level, and they’re cheery too. But they lack a capacity to doubt themselves; they often are confidently wrong.
Often the greatest help is understanding natural language, but given its hiccups… time using it is probably best spent using it as a drunken librarian – to teach how to phrase and fetch information
As one telling recent example, I tried using an LLM to help with some jq (with which I’m rusty); it got a few basics and then repetitively tripped over a syntax hiccup on loop, “correcting” itself to the same answer each time. A StackOverflow search or two, for comparison, answered my questions and taught some new syntax too. Probably took less time, but more critical thought.
That, coupled with the fact LLMs tend to give an answer and then also an unnecessary verbose step-by-step, means I tend to dislike them.
I also have a huge bugbear about “AI” as a term because it tells you very little. Plenty of applied statistics (markov chains, clustering algos, deep learning eg computer vidion; even SearchRank) are used heavily in research and other cases to do a lot of good. Even for the layman: the Seek app by iNaturalist is awesome for identifying common plant species; Stockfish is (now) a NN that dominates in chess.
But these are classifiers, not generators. By their very nature it is just statistics to evaluate a classifier on a test dataset. Generators, however, are far, far thornier to test, and seem a lot more prone to overfitting.
While I’m not familiar with a typical trained generator tensor, I imagine the optimal one will be surprisingly sparse, though not in a structured way - corresponding to a more clustered “small world” network, which IRL seem the most productive.
It sounds likely to be a language in the Tamil-Kannada family (as these are the major languages of Tamil Nadu and Karnataka respectively). There were a great number of Vijayanagara-era migrations, but sadly the South Dravidian languages have relatively less comparative linguistic study, so it's hard to say any further.
The irony is that the plan was either to - somehow, incomprehensibly, vet all 3 million responses - which would at minimum cost $10m - feed it as training data into some LLM, which would almost certainly make tens of thousands of mistakes at minimum.
That would be let alone the many other costs - including any fees to fight the uphill battle to prove the legality of this.
"Move fast and break things" is cute for a prototype when mistakes cost only time and pay dividends in experience. On a scale of government it's like taking a bulldozer to thousands of Chesterton's fences a day. Which is efficient, from a certain perspective...
"Tory-lite" is a pejorative for Labour, the implication being that they are almost identical in behaviour.
(I very much agree with the sentiment...)
I don't use PowerShell often at all, but this IMO is one thing it gets right, by piping .NET objects and implicitly piping to `Out-Default` at the end.
Of course this is another standard that tools would have to be incredibly careful to keep track of, but JSON is decently mature and a bunch of modern tools can operate in it, so at least there's slow progress away from the plaintext quagmire.
That was a 4chan screenshot, analysis of which shows some pretty clear photoshopping [0]. All signs point to it being some kind of troll; I don't know how 4chan pseudonyms works but I can't imagine it having actual identity verification.
[0] https://www.theverge.com/2025/1/3/24335045/elon-musk-4chan-a...
This is very neat! I'd be interested to see something like this with a saving mechanism reminiscent of TiddlyWiki [0], which is saved as a portable HTML file. Documents that contain their own editors like this are really neat for offline use and long-term storage.
I wonder if this has some sort of preference for ablaut reduplication [0]? I don't have the vowel phonics off by hand, but "have your cake and eat it" seems to flow a little more smoothly than "eat your cake and have it".
This is fun! Log-rock is an untapped market; I look forward to the similar genres of code-jazz and commit message-techno :)
(Based on the "vocalist has a seizure" line which I've seen before in similar situations, can it be assumed this is AI-generated?)
Reeder¹ is my go-to. It's not free but it's gorgeous, functional and feels very much like a native app.
Anecdotally the Python tool seemed to indicate for me a 0 for a dependency which was up to date (but hadn't been updated in a good year at the very least).
A more accurate (but more unwieldy to measure) metric would be to count the lines of code that have been changed since the version used and the most recent stable version. (I think this is what commenter amelius implied?) It wouldn't quite capture the nature changes made, but it would very much uncouple from the quite unwieldy assumption that libraries are all developed at the exact same pace.
This is the Lin-Shu density wave theory [0]; since the 1960s it has been proposed by some that both this and the mechanism described in the Stochastic Self-propagating Star Formation model [1] work together to maintain the distinctive shape.
[0] https://en.wikipedia.org/wiki/Density_wave_theory [1] https://en.wikipedia.org/wiki/SSPSF_model
Toying with #name-input and setName() was quite fun; I wish I was there to see this part happen! What `onerror` did you end up using to make it recursive?
Having to hover each time is a little unwieldy. Patterns [0] could be helpful? In this instance it might be neat to have stripes in the cardinal/diagonal directions which can combine into crosshatch, though after 4 colours it would get crowded to represent.
[0] Something similar to https://images.wsj.net/im-194691 for lighter-shade-on-darker shade.