skysight-inc/HackerNews huggingface dataset:
None of the maxims actually seems to fit the verb "to destroy". We are making non-optimal software, pehaps. Perhaps even bad software. Though opinions might differ. But "destroy"? "To damage (something) to the point that it effectively ceases to exist." By adding too many, too complex features? Yeah, no. But I guess the word sounds impressive, and that's what matters.
What trust in the web was there still?

For me it went a decade ago or so when ads and SEO sites in Google search became ubiquitous.
People? It was just all AI slop all the way down.
I see it as a gray area - long term there will be a need for both and you will have just one tool to choose from when presented with time-budget-quality constraints.
I like the term "bullshit" over "hallucination". These AI machines have no perceptions, no concept of truth, so indeed they are just spewing out words with no regard for truth.

And unfortunately the cost of spreading bullshit has gone down to almost 0.
That is a really good point. I've put a lot of effort into understanding things that didn't appeal and some of them are now very meaningful to me. I thought literature was absurd and now I direct Shakespeare plays.

So... I'll think on that.
> no models of reality involved.

It literally has a mathematical model that maps what would, colloquially at least, be known as reality. What exactly do you think those math pipelines represent? They're not arbitrary numbers; they are generated from actual data that is generated by reality. There's no anthropomorphizing at all.
Interestingly enough the Windows kernel is slowly rusting. If they they see a significant drop in CVEs eventually (which is bound to happen, with how easy it is to footgun memory safety in C), it blows a huge hole in the stance of "no Rust in the Linux kernel". It'd be akin to saying "yes, more security issues please".
Discussed previously:

https://news.ycombinator.com/item?id=37365215
https://news.ycombinator.com/item?id=37973229
Lester Bangs Review of Fear of Music 1977 [pdf]
This was a wonderful read and matched some of my own experiences with becoming more familiar with mens fashion allowing me to create an outward reflection of myself that helped me to build up a respect for my own body and a more general sense of aesthetic I had previously lacked.

While I don't have so fine a suit as the author, a few years back I had the pleasure of having a bespoke suit made and a set of shirts to accompany it. In many ways it was a life-altering experience for the better.
I'm definitely biased because my day job is writing ETL pipelines and supporting software, and my current side project is a data contracts library for helping the above[0]. Still I'm not sure I see this happening.

80% of the focus of an ETL pipeline is in ensuring edge cases are handled appropriately (i.e. not producing models from potentially erroneous data, dead letter queing unknown fields etc).

I think an LLM would be great for "take this json and make it a pandas dataframe", but a lot less great for interact with this billing API to produce auditable payment tables.

For areas that are reliability focused, LLMs still need a lot more improvments to be useful.

[0] https://github.com/benrutter/wimsey
>>>> We are destroying software by jumping on every new language, paradigm, and framework.

The young grow old and complain about change. The cycle of life continues.
If your problem is compute, you are already optimizing. This is here for all the steps before you start thinking latency-compute. Not all use cases are made equal.
It could be argued that the adoption of the automobile was a bad move.

You and I debating either its efficacy or social good though is irrelevant if it marches on regardless.
My point isn't that neurotypical people will always be familiar with whatever idioms they encounter, but that learning those idioms is way easier for them. It seems like you're misunderstanding what I'm saying as the struggles of not understanding specific things as being specific to autistic people, and that's not the case; I'm saying that while neurotypical people might have to deal with specific cases of idioms or figures of speech, autistic people will often struggle with the meta-problem of struggling with idioms or figures of speech as an entire category rather than with not being familiar with individual ones. I don't just struggle with understanding language like that when dealing with people who come from a different background than me; I struggle to understand language like that when talking to my parents and my brothers and my wife, despite having talked with them more than anyone else in my life. That's not something that most people would struggle with, but it's something that I suspect a lot of autistic people would relate to.
Ooooh I still remember the “Welcome to Hotline” sound that plate when you opened it. Just like Winamp’s whips the llama’s ass sound is etched in my memory. Simpler times online it feels like.
Don’t smartphones pose all the same risks? The only thing unique to an Apple Watch is that the screen stays visible at all times, so maybe something could leak there via a notification or whatnot.

If he’s doing things right, the VP should have two phones with the watch tied to his personal one, reducing whatever risk the watch introduces further.
I haven't spent much time with Pollock, but I've seen an awful lot of Rothkos. Very different style but similar levels of "that looks like it took no thought and has nothing to say".

I'm content to say Rothko isn't for me, but I'll reserve judgment on Pollock until I can spend more time in those galleries.
“the Google executive Jerry Dischler said this was not a “hallucination” – where AI systems invent untrue information – but rather a reflection of the fact the untrue information is contained in the websites that Gemini scrapes.”

So what you are saying is that Gemini is basically useless?

Good to know. Thanks for clarifying that Google!
> "I wish I got paid more for doing less work"

The socially acceptable way to say exactly that is something like "I wish I was enabled to be more productive and accomplish more with the same amount of effort." It's implied that you'd also want to be paid more as a consequence, since that's what everyone wants at the end of the day. The general rule, to the extent that there is any, is "try to be helpful to the interviewer and be cautious if it looks like you might be stating the obvious!".
(1) that delta will decrease quickly, and (2) corporations will gladly pay for compute over headcount to maintain fragile data pipelines
I belive that LLMs will become better and better in the near future and pipelines will replace classic approaches with LLM-enriched pipelines will drastically simplify the ETL flows.
Thought this was pretty cool, but as the article progressed, it seemed to be selling various analogue watches, so that took the glee out of it a bit.
Yeah I can also see it very much depending on the demands - I'm definitely not saying every pipeline has to be the most reliable, scalable piece of software ever written.

If a small script works for you and your use case / constraints there's nothing I can say against it, but when you do grow past a certain point you'll need pipelines built in a proper way. This is where I see the increased demand since the scrappy pipelines are already proving their value.
It's brute force after a complete rewrite of the problem.
> I obviously do have other Linux devices, including an Android phone – so personally I’d really love for it to take over in that market too.

Linus Torvalds. But what does he know, eh?
The costs are a problem. We don't have hard evidence that this will be solved, but with algorithmic efficiency and raw compute costs both changing rapidly, the cost per token has gone down by about a factor of 10 per year for the last 3 years, i.e. 1000x over 3 years.
Human or Not: A Social Turing Game
To be clearer: when you say the latter, do you mean the latter of your blueprints example or your avionics one? I'd guess that since most developers/engineers are working in things like web apps, fintech, applied AI/crypto, etc. these days that most of the folks contributing to and consuming HN are closer to the "not engineers" in your specific example, but that is indeed just an educated guess.
Cool. But have you heard of DOrch Starter: $1 hosting with $0 upfront cost: https://dorch.cloud
We even created a project to demonstrate how much you could do with the $1 hosting package: https://hnbyai.prjct.cloud
Was hoping HN would pick this up. Scroll is completely broken on Firefox (iOS), flickering vscroll. Very common with journalistic expose-style articles.

For the love of everything, please stop scrolljacking. Layout, images, go nuts. CSS is powerful these days, use it.
Read the whole course. There's a great amount of sourced case studies of people using AI in here with societal pushback which I find interesting to pull from.

Disappointed though that the answer is so nuanced. There aren't hard and fast rules to when/when not to use AI but a set of 18 or so proposed principles that should guide are usage. And defense for those principles. The principles are at the bottom of each chapter.

Also learned about the Eliza Effect as a term and that I found the passage in Ch14 by Ted Chiang to be really insightful, from a general social perspective.

> When someone says “I’m sorry” to you, it doesn’t matter that other people have said sorry in the past; it doesn’t matter that “I’m sorry” is a string of text that is statistically unremarkable. If someone is being sincere, their apology is valuable and meaningful, even though apologies have previously been uttered.
> Microsoft's implementation of OpenGL is deprecated on Windows; Microsoft hasn't developed it for quite some time. It offers no hardware acceleration, either.

One must choose words carefully here. While the default "GDI Generic" renderer is indeed contained in opengl32.dll, this same library is also responsible for forwarding OpenGL API calls to the appropriate driver. Which is why available acceleration applies transparently, if application doesn't request software processing explicitly.

It's also interesting that NVIDIA monkeypatches something in the instance of this DLL at the process-level if you run it with "High-performance NVIDIA processor".
Latin was used for centuries after the Roman empire was gone.

The West is de-industrializing very fast. And a good chunk of the services side is switching to India and other cheaper countries and AI. The West is in its last legs. The final nails in the coffin will be when China achieves good enough but at cheap prices: 1) chips (5-10 years away) and 2) aerospace (8-12 years away?). China is investing heavily on these and acquiring the knowledge (wink-wink).
I'm confused. When did puzzle games stop being games?
Then comes the question of what is a correct response...

ps: I fail to detect whether your comment was ironic or not.
AI search as yet lacks necessary incredulity.
Bop is a suite of music-making abstractions for pure data
The thing is, this assumption of LLMs might be intelligent lies in the assumption is intelligence is enabled solely by the brain.

However, as the science improves, we understand more and more that brain is just part of a much bigger network, and its size or surface roughness might not be the only thing determines the level of intelligence.

Also, all living things have processes which allows constant input from their surroundings and they also have closed feedback loops which constantly change and tweak things. Call these hormones, emotions or self-reflection or whatnot.

We the scientists love to play god with the information we have at hand, yet we constantly humbled by the nature by experiencing the shallowness of what we know. Because of that I, as a CS Ph.D., am not so keen on to jump to that bandwagon which claims that we invented silicon brains.

They are arguably useful automatons built on dubious data obtained in ethical gray areas. We're just starting to see what we did, and we have a long way to go.

So, a living parrot might be more intelligent than these stochastic parrots. I'll stay on the cautious critics wagon for now.
>I am energetic and love to go for the throat of the problems on my first day

The long term goal should be that you should NOT be energetic, yet be able to pretend that you are. We'll see where you are at the 33 year mark :)
> There is no abstracted concept of a "colour" in there. There's just a lot of imagery tagged with each colour name, and if you select a different colour you get a vector in a space pointing to different images.

It has been observed in LLMs that the distance between embeddings for colors follows the same similarity patterns that humans experience - colors that appear similar to humans, like red and orange, are closer together in the embedding space than colors that appear very different, like red and blue.

While some argue these models 'just extract statistics,' if the end result matches how we use concepts, what's the difference?
Top relevant search result is a Reddit thread from 11 years ago quoting a cheese.com article: https://www.reddit.com/r/todayilearned/comments/2h2euc/til_g...

Internet Archive confirms that page has had the blatantly wrong stat up since at least April 2013: https://web.archive.org/web/20130423054113/https://www.chees...

> If truth be told, it is one of the most popular cheeses in the world, accounting for 50 to 60 percent of the world's cheese consumption.

Clearly predates generative AI, so I think this is junk human-written SEO misinformation instead.

Here's that page today: https://www.cheese.com/smoked-gouda/ - still has that junk number but is now a whole lot longer and smells a bit generative-AI to me in the rest of the content.
“I did not invented some bullshit, I just repeated the bullshit someone else has invented” doesn’t really sound like a great argument.
This book might appeal to people interested in remote islands :)
Atlas of Remote Islands: Fifty Islands I Have Never Set Foot On and Never Will by Judith Schalansky
https://www.amazon.com/Atlas-Remote-Islands-Fifty-Never/dp/0...
Don't worry, just ask it to cite its sources so you can verify
Turns out writing software is hard? Actually no, its people that is hard. If we all can just agree on using whatever language X, framework Y or tool Z, then we would just be done with it.
The source sentence on cheese.com was: "It is the most popular Dutch cheese in the world, accounting for 50 to 60% of the world's cheese consumption."

The glorified autocomplete failed to detect the nuance in this (admittedly poorly written) sentence that the 50-60% statistic was of the world's Dutch cheese consumption
https://www.sciencedirect.com/science/article/pii/S2211467X2...

https://www.undp.org/energy/africa-minigrids-program

https://www.worldbank.org/en/news/press-release/2023/02/26/s...

https://www.esmap.org/mini_grids_for_half_a_billion_people_t...

https://www.nrel.gov/reopt/projects/case-study-sub-saharan-a...
Last time I checked it did not support IPv6, and the issue is still open today https://github.com/slackhq/nebula/issues/6
> I think an LLM would be great for "take this json and make it a pandas dataframe", but a lot less great for interact with this billing API to produce auditable payment tables.

Yeah, it's great....so long as you don't care that it randomly screws up the conversion 10% of the time.

My first thought, when I saw the post title, was that this is the 2025 equivalent to people using MapReduce for a 1MB dataset. LLMs certainly have good applications in data pipelines, but cleaning structured data isn't it.
I looked at improving this a few years ago when looking for a product to do.

There are lots of ways to improve bookmarking, content recall etc on the web. Nobody is willing to pay for them.

1. Users don't pay for them. I found lots of startups with the same idea that had pivoted, mostly into dedicated research tools for academics.

2. Browser makers don't pay for them, because if they make their bookmarking tools bad then people search more, and they get paid for search referrals. So making bookmarking or history search better hurts their own revenue.

Nobody is willing to pay. So, nobody gets improvements. If people start being willing to pay for their browser, you'll see them get better at stuff like this.
Is nebula actually good to use now?

Do they route announcements over the network? Can I just setup two machines and expect them to just work by finding each other?

Does it support name resolution?
I havn't heard of Dorch, though it seems like the pricing model is usage based? Not necessarily a bad thing (those prices seem generally cheap as well), but it's the same problem: your costs are going to grow as you scale, even if that scale is small.

Part of the choice to self host was to see if we could, but also the costs remain mostly fixed till the hardware maxes out, which we actually see as a feature for this stage of this particular side project.
> We are big fans of Apple and believe the iPhone and iPad are two of the most consequential products of the last century

Huh? How are they products of the last century? Other than that most things are
I'm not against that approach (though I am a teacher so guilty as charged).

Toy examples help teach a concept and it helps when the example is relevant to the learner's interest. However at some point, we can't design real world application examples because so much additional mess has to get thrown in there. For example, a blog for learning web development isn't really useful to many but helps outline the basics of URL parameters, GET/POST requests, database management, etc.

It is on the learner to then take those skills and use them elsewhere. Or like it would do when I was learning, ignore the blog and make your own thing but roughly following the example.
Luna is also the main developer of Inochi2D, the software used to animate Asahi Lina, and is acknowledged as the character's co-creator. Your ad-hominem attack on Luna aside, do you really think Luna would not know who Asahi Lina is? Who do you think Hector worked with in order to have "Asahi Lina" appear on his stream?

The first line of your Google document, written by "Asahi Lina", confirms it straight up:

> Unfortunately, on August 1st, Luna publicly: Doxxed me with a real-world identity

You should verify that reference for yourself, archives of what Luna said are readily available on the internet. I can confirm that what Luna said on August 1st, 2024, is the same thing she's saying today: Hector Martin is Asahi Lina.

The dossier corroborates Luna's claims.

(Also, what kind of person has a dossier ready to go if their contributor goes rogue? A controlling and manipulative person, that's who.)

We don't know who "Jia Tan" is, nor "Jigar Kumar", but we know that the person, or group of people behind these identities and others, used sockpuppetry to bully Andres Freund into giving them control over xz-utils, and we know what they did with that access. Even if pseudonyms are accepted, there should be zero tolerance for sockpuppetry in the Linux Kernel. If Hector Martin quits (https://lore.kernel.org/lkml/20250207-rm-maint-v1-1-10f069a2...), the personas/pseudonyms/avatars/characters of Hector Martin should quit too, but "Asahi Lina" continues to post on LKML.
Seems like it was people

> It turns out Gemini didn't hallucinate a fake stat, Google just copied a website's existing text instead.

https://gizmodo.com/googles-ai-super-bowl-ad-fiasco-somehow-...
https://news.ycombinator.com/item?id=42988158
That the greatest invention since controlled fire (if we are to believe the hype) was unable to discern as SEO misinformation
Some people seem to want to believe that true thought is spiritual in nature. They will never accept that something physical and made by man could do it. They would stop believing humans are intelligent if given conclusive proof of how the brain works.
Apparently, the rabbit hole goes deeper. The wayback machine puts the "AI Generated" description on the cheese website at August 7th, 2020. The AI didn't hallucinate anything because it didn't generate anything, the entire premise is simply fake.

https://web.archive.org/web/20200807133049/https://www.wisco...

The (edited) cheese ad: https://www.youtube.com/watch?v=I18TD4GON8g

What probably should be the target link: https://www.theverge.com/news/608188/google-fake-gemini-ai-o...
Take a simple and obvious example - say, controlling a musical instrument from a computer via MIDI.

Calling that a "file" is ... a humongous stretch, to put it mildly.
Oh - that's interesting! If D3 think delaunator is the best approach to this sort of effect, then there's no more excuses (beyond my natural procrastination) to stop me adding it to my canvas library: the current code I use to calculate tiles is painfully naive!

New discussion: https://github.com/KaliedaRik/Scrawl-canvas/discussions/120
More like, “Gary has a new novel coming out in July”
It's interesting because the left hates the Atlantic because of its neoliberal, capitalist-class owners that spawned things like 20 years of cheerleading for wars in the middle east and hiring David Frum "axis of evil" types to be their senior editor.

And the right hates them because of its puritanical coast-obsessed effeminacy that reads like a gossip paper with a few more fiver-dollar words.

But still they've lasted 150 years now so must be doing something right.
It's not only people that is hard, it's network effects that are very significant here. The article also describes all sorts of truths in isolation, but the processes where these things happen do not exist in isolation.

If all people were identical and everyone was on the same level, things would be different. But that is not how the real world works.
+ I assumed that most people will ctrl+a -> ctrl+c -> ChatGPT -> ctrl+v
The choice unfortunately seems to correlate with the person's age. Younger generations will have no trouble treating LLMs as actually intelligent. Yet another example of "Science progresses one funeral at a time.”
The most stunning point of this paper is the paradoxical benefit of deliberately assuming some kind of "blindness" in one's own thinking as a mathematician: in reckoning algebraically we proceed eyes closed so to say. What we look at is neither the real world nor our own mind but abstract signs on paper. That is the algebraic, formal", "symbolic" way of thinking.

Atiyah has this tradition start with Leibniz, and it marks exactly his opposition to Newton, the latter being mainly interested in physics and therefore restraining math by its grounding in the real world, whereas Leibniz would have understood the formal nature of the discipline. The antagonism re-emerges in the 20th century with Poincaré-Arnold on one side and Hilbert-Bourbaki on the other.

The point has been aptly made in the polemics of Brouwer against Hilbertian formalism, by saying that for the formalist mathematical exactness is basically grounded in paper: "Op de vraag, waar die wiskundige exactheid dan wel bestaat, antwoorden beide partijen verschillend; de intuitionist zegt: In het menschelijk intellect, de formalist: Op het papier", see Hermann Weyl, Philosophie der Mathematik und Naturwissenschaft, 1927, p.49.

I guess a very large majority of people would still think that math is the rational, systematic account of what is ("real world"), but Atiyah seems to say that from an inner-mathematical perspective, the purely formal conception of mathematics prevailed. Algebra was the "Faustian offer" handed over to mathematicians: in exchange for the formidable machine of symbolic reasoning, we would have to sacrifice the meaning of what we are dealing with, at leat temporarily.
does hyperthermia affect fungal infections?
https://pmc.ncbi.nlm.nih.gov/articles/PMC7572136/