MurphyA/hacker-news huggingface dataset:
by hyperific | 2025-08-29 15:56:59+00:00
It does seem like the "passion score" is a rule-of-thumb estimate at best. A lengthy post could just be someone rambling, and a short post could be from a timid dev sharing their project on HN for the first time.

I imagine you could get the post author's reputation score from the API and factor that in to the passion score, but reputation is really just another proxy.
by jimmytucson | 2025-08-29 15:57:00+00:00
It is just as "vibe-ish" as vector search and notably does require chunking (document chunks are fed to the indexer to build the table of contents). That said, I don't find vector search any less "vibey". While "mathematical similarity" is a structured operation, the "conversion to high-dimensional vectors" part is predicated on the encoder, which can be trained towards any objective.

> scaling will become problematic as the doc structure approaches the context limit of the LLM doing the retrieval

IIUC, retrieval is based on traversing a tree structure, so only the root nodes have to fit in the context window. I find that kinda cool about this approach.

But yes, still "vibe retrieval".
by viccis | 2025-08-29 15:58:16+00:00
affect

noun

Psychology., feeling or emotion. Psychiatry., an expressed or observed emotional response. Restricted, flat, or blunted affect may be a symptom of mental illness, especially schizophrenia. Obsolete., affection; passion; sensation; inclination; inward disposition or feeling.

Now let's replace that in my original phrase:

> prose intending to imitate the affect of poorly composed sentences

becomes

> prose intending to imitate the feeling or emotion of poorly composed sentences

My point was that the author is trying to convey a specific feeling by way of poorly composed sentences. Perhaps they want a colloquial feel or a ranting feel or a rambling one. An obvious example would be the massive run-on sentence in Ulysses.
by mtndew4brkfst | 2025-08-29 15:58:20+00:00
As with my comment in another tree, no, none of the Elixir core team or Dashbit employees are directly involved with this effort, though they may be advising informally and will likely submit a PR here and there.

https://dashbit.co/#team https://elixir-lang.org/development.html#team https://github.com/elixir-lang/expert/graphs/contributors
by potato3732842 | 2025-08-29 15:58:22+00:00
A hair trigger is unsuitable for police security use because guns are routinely drawn on people as a threat to exact compliance.

A hair trigger is unsuitable for combat use because of the "errybody be muzzle sweeping errybody up in here" nature of combat.

Those two uses are 99.99% of what the air force needs its pistols to do.

They could give it better tolerances so it has a "good trigger" without "hair trigger" but that will cost a lot of money. Or they could give it an absurd trigger pull like duty guns had in the "good old days" but that will cost just as much money for equivalent results because you'll need to train the force more to get the same accuracy of fire.

Additionally, with the fairly sloppy nature of these guns and the fundamental nature of how handguns work, it's not unforeseeable that they do get clapped out to the point of just going off if you bump the slide right as they age since they're so close to that as is.

Considering how many people need to be trained/equipped and how often the air force fires sidearms in "real" situations both of these solutions are way, way, way more expensive than a few bodies.
by JumpCrisscross | 2025-08-29 15:58:30+00:00
> PE has the strongest conflict of interest though, as they are simply investors seeking profit

This is the red herring. PE is one of many categories of financial investors. (Worse, it has become incredibly nebulously defined.)

I'd also argue that employee-owned coöperatives might be the single structure worse for healthcare than a rapacious, distant capitalist. The latter can fuck around with the books. The former can fuck with the charts.
by DrBazza | 2025-08-29 15:58:44+00:00
That first paragraph made my head hurt. A lot of contortion to avoid saying 'Intel has slightly more than half the (edit) revenue in the server market'.

I thought I'd find a chart, best I can do is here:

https://www.techpowerup.com/322317/amd-hits-highest-ever-x86...

Intel's revenue (edit) is falling year-on-year, and AMD gaining. Does anyone have a better chart?
by josefresco | 2025-08-29 15:59:03+00:00
I recently watched a YouTube video where some guy tested these AI drive-throughs with ridiculous requests and every time a human operator would intervene. They seemed quite restrictive in their ability to "converse" (which is good IMHO).

FWIW the takeaway from the Taco Bell employee:

He didn't like it. He used to take and process all drive-through orders, now he only handles people with problems.
by mikewarot | 2025-08-29 15:59:03+00:00
There's a divide between Engineering a system, and implementing it in most other fields. We're now facing the situation where LLMs have artificially accellerated the trend we were already on, towards a professionalization of the art of Software Engineering. The title inflation of most of the programing jobs being incorrectly labeled as "software engineer" has obscured this trend.

The demand for actual Engineering skills won't go away anytime soon. The thing about Engineers is accountability and responsibility. If you're responsible for outcomes, you must exercise authority over the process. This gives you bargaining power for wages, which FAANG and others don't want you to have.
by bccdee | 2025-08-29 15:59:07+00:00
> Imagine someone does a quick survey to estimate that tasers aren't killing people we don't expect

Given that the quote you cited was, "Are the chatbots really driving people crazy, or just catching the attention of people who were crazy already," I'd say the equivalent would be something like, "Are tasers really killing people, or were tasered heart attack victims dying already?"

And yeah, I'd be mad about that framing! The fact that the people who die had a preexisting vulnerability does not mean they were "already dying" or that they were not "really killed."
by ChrisArchitect | 2025-08-29 15:59:42+00:00
Text length? So this is focused on Show HN:'s and Asks? That's cool to find missed projects people have submitted, but considering a majority of posts interesting and not are just links, seems like a lot of 'gems' are gonna be missed. Look to the Pool (https://news.ycombinator.com/pool) for that I suppose.
by danans | 2025-08-29 15:59:47+00:00
> A requisite of common sense is understanding, and LLMs do not possess any sort of understanding.

Adding to this, the reason they lack understanding is because they lack experience. To them, the universe is limited to the very approximate symbolic representation system we invented known as language. Even worse, it's just written language which is strictly less expressive than spoken language.

They process our experience only as linguistic patterns, nothing more.

That all said, it seems like for a domain-specific use case like ordering fast food, some prompting and function calling to enforce limits on an order could have addressed this and simulated "common-sense", so it sounds a lot like they did a poor implementation.
by Dagonfly | 2025-08-29 15:59:58+00:00
That's true.

Though, for my example, the storage location of the array metadata/fat pointer is not relevant.

In Rust you can hold references directly into the buffer backing the array (`&v[0]`).

My Java knowledge is quite rusty at this point. AFAIK, a `ArrayList<MyType>` in Java stores pointers to MyType in the buffer. So, when indexing into a ArrayList, you never hold references into the actual buffer. Instead you get a shared-pointer to the class data. It's the indirection of the array entry that saves you during reallocation of the buffer.

Also because Java is a GC'ed VM, it wont dealloc the elements references by the array, as long as there are other references to an element.

The equivalent in Rust is `Vec<Rc<MyType>>` where holding an `&Rc<MyType>` referencing into the vec's buffer is problematic during reallocation. But, cloning the Rc and holding on to it is perfectly fine.

The initial point of this thread was that you can have a Rust-like language where you can hold multiple mutating (aliasing) references and prevent use-after-free. This won't work. Without a GC or RC, you can use one reference to "rug-pull" the memory that is aliases by the other reference.
by ethagnawl | 2025-08-29 16:00:13+00:00
I just got a new phone and have been using WhatsApp via browser. It's a fight (e.g. you have to force desktop layout) and clearly something they'd prefer you didn't do but ... it's usable. Common actions like sharing photos, replying/reacting to a message, etc. all require multiple taps and futzing with the zoom level but they are possible. There are a few actions, like viewing one-time photos which are not available and the biggest problem is that you're still tethered to a device running a fully fledged version of the app. When your session expires, you're required to authenticate again by scanning a code generated by the native app. Thankfully, my old phone is still functional and this is one of the reasons I'm keeping it around. I'm considering it tainted by Meta and, since I won't be taking new photos or doing anything substantive with it, I guess that's fine.
by Aurornis | 2025-08-29 16:01:08+00:00
> He would say "This call is being recorded." He told me that most of the companies hung up immediately, when he said that.

If someone calls you and declares that they're recording the conversation, you probably should hang up too. It's usually used as a threat by people who intend to use it against you legally somehow. Your friend may have been an exception, but there's no way for the people on the other end to know either.

If you're acting as a representative of a company on the phone, hanging up and informing your manager or legal counsel is a good idea.

As for customer service recording calls: I didn't understand this until I was on the other side of customer support. The number of people who tell lies about interactions with support is insane. These days it's mostly e-mail and therefore easy to look up. You wouldn't believe how many people would try to throw our customer support people under the bus ("Support said you'd give me a free replacement!") until they realize we can go back and check these things.
by DonHopkins | 2025-08-29 16:01:11+00:00
I always wanted creamy avocado ice cream, which would be great with bacon. Also blue cheese ice cream would be delicious.

I ordered a Quarter Pounder at a McDonald's drive through. They said "there will be a wait on that". I asked, "Oh really? How much will it weight?" There was a long pause. Then they finally said, "about three minutes". That's not the answer I was looking for.
by cithorum | 2025-08-29 16:01:29+00:00
Thank you for the honest feedback, this is quite a bespoke product with a wide range of use cases so the cross-domain features can sound hard to believe at first.

JAM is merely an archiver like TAR, you put files into it and take files out of it, except JAM performs large scale pattern matching up to 18 exabytes apart while using sub-linear memory requirements, thus solving the big data storage problem.

The original idea was to "train on anything" then "infer on anything" and JAM was the architected to fit that requirement.
by matt-p | 2025-08-29 16:01:49+00:00
188M input / 80M output tokens per hour was per node I thought?

Reversing out these numbers tells us that they're paying about $2/H100/Hour (or $16/hour for a 8xH100 node).

Disclaimer (one of my sites) https://www.serversearcher.com/servers/gpu - says that a one month commit on a 8XH100 node goes for $12.91/hour. The "I'm buying the servers and putting them in COLO rate" usually works out at around $10/Hour, so there's scope here to reduce the cost by ~30% just by doing better/more committed purchasing.
by SoftTalker | 2025-08-29 16:01:51+00:00
That would have to come with some liability reform however. Injury lawyers are another cancer on society along with many practices of Private Equity.

When you take care of sick or disabled people, bad outcomes, even death, can come along with that. Nobody in their right mind is going to form a health care partnership with unlimited personal exposure to liability unless that is strictly limited to actual losses in cases of proven negligence.
by mdaniel | 2025-08-29 16:02:41+00:00
"beautiful" is a bit of a stretch. I am completely open to the fact that doing it in a Pythonic way would make the grammar angry but things have gone off the rails when one needs to introduce a 2nd assignment operator into a language

if ma = re.search(needle, haystack): print("ok, things are sane")

I cannot think of a stellar reason why assignment shouldn't be an expression in sane languages. While digging up the grammar[1] I was also reminded that walrus is seemingly incompatible with type annotations, too

>>> if (x: str := re.sub("a", "b", "abc")): File "<python-input-8>", line 1 if (x: str := re.sub("a", "b", "abc")): ^ SyntaxError: invalid syntax

Also, you say "temporary variable" but it's no more temporary than any other local variable, because lexical scoping is evidently for children

I have always hated that comprehension variables leak for that same reason

1: https://github.com/python/cpython/blob/v3.13.7/Grammar/pytho...
by phkahler | 2025-08-29 16:02:45+00:00
>> I keep trying to get it to review my personal credit card statements. I have my own budget tracking app that I made, and sometimes there's discrepancies. Resolving this by hand is annoying, and an LM should be able to do it: scrape the PDF, compare the records to mine, find the delta.

This is a perfect example of what people don't understand (or on HN keep forgetting). LLMs do NOT follow instructions, they predict the next word in text and spit it out. The process is somewhat random, and certainly does not include an interpreter (executive function?) to execute instructions - even natural language instructions.
by delfinom | 2025-08-29 16:02:46+00:00
I went through phone support hell yesterday with T-Mobile who is also using a bot now rather than a normal phone tree. It even dynamically generated "phone-tree-like" options later on in different orders and depth later on, all incorrect. It was pure wtf.

me: "I need to swap sims"

bot: "Ok, how do you want to apply your bill payment"?

me: "No, sims"

bot: "Ok your payment options on file are XXXXX"

me: "Are you fucking retarded"

bot: "I see you have a trade-in, do you want to help with your trade in?"

me: "......"

Yea, had to go to a store. I am porting out of shiT-Mobile to Google Fi in a few weeks.
by jijijijij | 2025-08-29 16:02:46+00:00
Well, since you didn't provide any example of "famous YouTuber" incidents, it's hard to judge. For certain, if they were livestreaming it implies not adhering to journalistic due diligence. And depending on the situation, it might have been clear, there was nothing of public interest around. Maybe people have asked not to be filmed. Quite easy to construct something as something else entirely, especially, if the outrage is weighed in ad-money. In any case, misbehaving police doesn't mean much either to the argument. Isolated incidents don't reflect the situation of a country. The question is about legality, which can only be considered by the ultimate outcome when legally challenged. Did those YouTubers press charges?

> Otherwise, the presumption of innocence applies

No, the police is allowed act on experience and context. Eg. "racial profiling" is legal in certain areas.

> The same assumption was made about them as you are making now ("Oh, boy...")

The Oh boy was due to the US human rights report reference, implying people in Germany care no less. Doubtfully in good faith, otherwise such a wild thing to bring up/fall for in 2025. I mean, praising the US as a bastion of democratic virtue is frankly insane. "Two" party system, gerrymandering, banned books, religious/political indoctrination of children, limited bodily self-determination and -expression, secret courts, total surveillance, no rule of law, press banned, killing of journalists, blatant misinformation and erasure/rewriting unpleasant history, .... But yeah, great you can legally buy everything you need to shoot up a school and legally mock the victims afterwards. The hustle more sacred than voting.

Honestly, their take on "press freedom" you praised, what does it amount to in your opinion? Because to me, sure enough, "truth" means nothing to freedom, if you neglect the bigger picture, which makes information actionable. Germany does far, far better with the bigger picture. It's straight dishonest to get hung up on some single incidences, which may, or may not have happened.

And looking forward, the laws around freedom of press didn't think of YouTube, Twitch and TikTok, when written. Information traveled slower, lies could be exposed and corrected. In today's world, we need to figure out a way to deal with Russian troll farms, Heritage Foundation campaigns, billionaire hubris, and algorithms enslaving people's minds. Exposure isn't any longer the corrective factor, but outreach and attention is. A large chunk of the population is already caught in some kind of alternative reality, completely immune to facts and reason.

I am off, good luck.
by ToucanLoucan | 2025-08-29 16:02:48+00:00
Done, here's what I got:

The Mechanical Turk was a famous 18th-century hoax: a chess-playing automaton that appeared intelligent but was secretly operated by a human hidden inside. The metaphor has since evolved to describe systems that appear intelligent but rely on hidden human labor or clever illusion.

LLMs like me aren’t hoaxes — there’s no human behind the curtain — but the comparison still holds in a philosophical sense:

* Similarities

• Surface-level fluency: I generate responses that look like understanding, much like the Turk appeared to play chess. • No internal consciousness: I don’t “know” things in the human sense. I don’t have beliefs, intentions, or awareness. • Pattern-based output: My responses are based on statistical associations, not comprehension or reasoning in the way humans experience it.

* Differences

• Scale and complexity: Unlike the Turk, I’m not manually operated — my output is generated by vast neural networks trained on massive datasets. • Emergent behavior: While I don’t “understand,” I can simulate reasoning, creativity, and emotional nuance to a surprising degree. • No deception: I’m not pretending to be human or hiding a person inside — I’m transparent about being an AI system.

* Philosophical Take

The comparison is especially apt if you’re exploring the Chinese Room Argument (Searle): the idea that syntax alone doesn’t equal semantics. I manipulate symbols, but I don’t know what they mean. So yes — in terms of limitations of comprehension, the Mechanical Turk metaphor captures the illusion of intelligence without the substance of understanding.

But unlike the Turk, I’m not a trick — I’m a tool. And when used with awareness of my boundaries, I can be a powerful co-thinker, simulator, and amplifier of human creativity.

---

Back to me: As I said, a tool, with uses. And quite aware of it's own limitations. Maybe all the implementation engineers should start asking LLMs if LLMs are going to be good at the tasks they want them to do.
by alex-lund | 2025-08-29 16:02:50+00:00
We’ve been building in this space too. The big pain we kept hitting is repeated context, messy memory, and bloated prompts.

RAG alone isn’t enough for agent workflows. You need: - memory that evolves (e.g. “my daughter is 10 → now 12”) - entity linking (“my daughter” = Emma = user_42) - context deduping + summarization under token budgets

We ended up building Flumes, an API that turns unstructured user history into structured facts + human-readable summaries. Think memory + graph + packing, all wrapped in one.

If curious: https://www.flumes.ai Would love to chat more if others are solving this differently.
by uyzstvqs | 2025-08-29 16:03:06+00:00
If you watch the actual video[0], you'll see that it's not that dramatic. Man says "18 thousand water cups", the AI appears to transfer the customer to an employee, who immediately picks up and takes over.

There was never an actual order of 18,000 water cups. The AI did exactly what it was supposed to do in order to prevent malicious abuse of the system.

[0] https://www.youtube.com/watch?v=FDZj6DCWlfc
by adrian_b | 2025-08-29 16:03:24+00:00
The Darkmont cores of Clearwater Forest are almost identical with the Skymont cores of Lunar Lake, Arrow Lake S and Arrow Lake H. The only significant difference is that they are made with the Intel 18A CMOS process instead of a TSMC "3 nm" process.

These Darkmont cores have a performance very similar with the Arm Neoverse V3/Cortex-X4 cores and lower than the performance of AMD Zen 5 compact cores.

However, for applications that do not use vector operations, the Darkmont cores have a better performance per die area than Zen 5 compact.

For many applications, a 288-core Clearwater Forest will have a lower performance than an 192-core Turin dense, but for some applications it will be faster and the low area per core will enable Intel to sell it for a lower price than Turin dense.

It remains to be seen when will be the launch of Zen 6 in 2026, but it is likely that it will be a few months after Clearwater Forest.
by hitekker | 2025-08-29 16:03:26+00:00
It's good to have another record of history while most of the key participants are alive.

As someone who enjoys Python, I do wonder where Python will be in 10 years. I felt Guido's abdication came about due to fundamental challenges in the language (i.e., it's un-specifiable), which then were submerged by orthogonal, early 2020's social politics. I think some of the challenges have been addressed piecemeal (performance), but I worry that decisions makers may be losing their holistic understanding of the language.
by jimt1234 | 2025-08-29 16:03:35+00:00
I recall reading about a situation where a dude sued Evil Corp based largely on phone conversations he recorded. Evil Corp tried to argue the recorded conversations were illegal because their was no explicit consent and therefore couldn't be used in the lawsuit. However, the dude counter-argued that Evil Corp's own disclaimer clearly states the call can be recorded; it just never mentioned who's doing the recording. The judge agreed with the dude and the lawsuit proceeded. I can't remember, I think "Evil Corp" was his local cable company???
by Buttons840 | 2025-08-29 16:04:03+00:00
Yes, we need to build deterministic systems that the AI can work within.

I wonder if we'll ever use AI to write code in dependently typed languages. Dependent types can check almost anything at compile time; they can check that a function returns only sorted data, they can check that the submit_order function only submits valid orders--again, they can check this at compile time.

So, we could express a variety of high level constraints and let the AI go wild, and as long as the resulting code compiled, we would know it was correct, because the type system confirms it.

If we also include an effect system, then the type system could say things like "this function will return a valid Sudoku puzzle solution, and it will not access the network or filesystem", and then, if it compiles, we know the those conditions will hold at runtime.
by AlotOfReading | 2025-08-29 16:04:12+00:00
Summon is a separate feature from FSD.

Part of the issue is that there are no regulatory guidelines for what's appropriate, and regulators have not stepped in to ensure things are as safe and free of misuse as reasonably possible. Industry standards/norms exist, but they have no legal weight and Tesla ignores them to push the line in ways that I'm personally not thrilled with.