MurphyA/hacker-news huggingface dataset:
by torginus | 2025-11-26 20:44:54+00:00
All this would imply that the core value derives from better rec systems and not LLMs, which will merely embed the recommendation into their polite fluff.

Rec systems are in use right now everywhere, and they're not exactly mindblowing in practice. If we take my example of books with certain plotlines, it would need some super-high quality feature extraction from books (which would be even more valuable imo, than having better algorithms working on worse data). LLMs can certainly help with that, but that's just one domain.

And that would be a bespoke solution for just books, which would, if worked, would work with a standard search bar, no LLM needed in the final product.

We would need people to solve every domain for recommendation, whereas a group of knowledgeable humans can give you great tips on every domain they're familiar with on what to read, watch, buy to fix your leaky roof, etc.

So in essence, what you suggest would amount to giving up on LLMs (except as helpers for data curation and feature extraction) and going back to things we know work.
by 3rodents | 2025-11-26 20:44:55+00:00
For those unfamiliar, the studio behind S&box is Facepunch, creators of Garry's Mod and Rust. Facepunch as a company doesn't get much attention but they're wildly successful. Started as just some guy in a bedroom, now ~$100m/year in revenue (all via Steam), $100m in the bank, ~100 employees and almost entirely a company of game developers (maybe 20% of employees are administrative staff). Still owned and ran by the founder, Garry. S&box (and Garry's Mod and Rust) is pure game developers making things they want to make.
by raw_anon_1111 | 2025-11-26 20:44:58+00:00
97% of adults between 18-49 in the US have a cell phone.

https://www.statista.com/statistics/489255/percentage-of-us-...

94% of payments in the US are made with a debit or credit card

https://www.atlantafed.org/blogs/take-on-payments/2024/11/18...
Ask HN: Is temporal anchoring for LLM drift reduction a known approach?
by haley-kurtz | 2025-11-26 20:45:26+00:00
I’ve been working on an inference-layer wrapper that reduces conversational drift in LLMs by injecting explicit temporal/contextual anchors at each turn.

Instead of using RAG, fine-tuning, or external memory, it structures each interaction through a 5-step cycle (Anchor → Analyze → Ground → Reflect → Stabilize) and preserves those anchors across turns.

In early tests, I’ve seen things like:

-A tester redefining c as 100 m/s and the model holding that constant across multi-step reasoning, instead of snapping back to 3×10⁸ m/s

-60–80% reduction in drift over longer conversations (50+ turns), especially around time-sensitive or constraint-sensitive tasks

I’m trying to understand where this fits relative to existing work. It feels like a runtime control layer, not training or RAG, but I don’t want to reinvent something that already exists under a different name.

GitHub (no core code yet, proprietary while I sort out IP): https://github.com/willow-intelligence/willow-demo

Live API demo (simple playground): https://willow-drift-reduction-production.up.railway.app/docs

My questions for HN:

1. Is this kind of temporal anchoring / interaction-layer drift control a known technique under another name? 2. Are there obvious failure modes or prior art I should be looking at? 3. For those of you working with LLMs in production, is an inference-layer drift-reduction wrapper actually useful, or is this just a fancy flavor of prompt engineering?

Honest technical feedback (including “this is nothing new”) is welcome.

If anyone wants to try it and share logs or impressions, I’d be happy to give access and context.

Thanks, Haley
by SilverElfin | 2025-11-26 20:45:39+00:00
It feels like China hit an inflection point where they can rapidly progress, catch up, and perhaps surpass the US technologically. The road out of “developing country” took forever but now I see them producing great products in basically every industry.

I think this is still a negative for the US though. China’s competitiveness means the Dollar and the US economy aren’t going to be dominant for long, or at least they’ll need to share their position with China. And US influence on the world order has been destroyed in the last year. If all of this continues - China’s progress, the slow erosion of American dominance, etc - then I think America will have to confront serious problems, like how it will deal with debt.
by iLemming | 2025-11-26 20:46:40+00:00
> It might not be a problem for you, but it has been for many

Do you have a habit of referring to yourself in plural, or do you typically like to generalize things based on your personal experiences?

I personally know many Clojurists who never had problems you're describing - hundreds of people. Sure, that could be the case of survivorship bias, perhaps I just don't befriend people who struggled with getting into Clojure specifically in a way you're describing. But like they say: "Those who are willing to make the effort will find the solutions. Those who aren't will find the excuses."

Clojure undeniably had challenges in the past, and still has some today. But not the things you're talking about. This is literally not an exaggeration - it's as easy as installing Calva extention for VSCode - that's all one needs to mess around with Clojure.
by super256 | 2025-11-26 20:46:45+00:00
It feels like Valve's management changed a few years (decade?) ago. I remember when they were still shipping SDKs and proper mod support, even for their multiplayer games. Today they are just killing everything that could divert revenue from their cash cow CS2 and shipping a half baked js-based scripting engine for their maps. (And in the meanwhile they kill fan projects like CS:Legacy, which is a whole game and not even a mod, with their army of lawyers. I don't think stuff like this would have happened 13+ years ago).
by zamadatix | 2025-11-26 20:46:47+00:00
A fire risk? I think it'd be exceptionally rare for that kind of thing to lead to a fire instead of just dead parts (assuming no overtemperature protections). Even people with the 600 w melting GPU cables don't end up with an actual fire.

Batteries, however, are absolute hellfire when they go wrong (because of chemistry - not just the temperature).
by qdog | 2025-11-26 20:46:55+00:00
There was a dip on the first chart in the article, it also sbows something like 9% of companies using it.

What I wonder is beyond "using" AI, is what value the companies are actually seeing. Revenue growth at both OpenAI and Anthropic are increasing rapidly at the moment, but it's not clear if individual companies are really growing their useage, or if it is everyone starting to try it out.

Personally, I have used it sparingly at work, as the lack of memory seems to make it quite difficult to use for most of my coding tasks. I see other people spending hours or even days trying to craft sub-agents and prompts, but not delivering much, if any, output above average. Any output that looks correct, but really isn't cause a number of headaches.

For the VC's, one issue is constant increase in compute. Currently it looks to me like every new release is only slightly better, but the compute and training costs increase at the same rate. The AI companies need the end users to need their product so much they can significantly increase the price to the end users. I think this is what they want to see in "adoption", such a high demand that they can see the future of increasing prices.
by DarmokJalad1701 | 2025-11-26 20:48:18+00:00
I have encountered at least one bug at $job which was tracked down to x87 instructions. Our "production" build is deployed on embedded ARM CPUs while we have test builds compiled for x86 (32-bit) and x86_64 (different subsets of functionality). Anyway, the bug only showed up in the 32-bit x86 build. The same code worked fine in production and in the 64-bit test builds.

It turned out to be an x87 bug where a piece of code was actually computing the wrong answer!. Logically following the code would make you think that the particular failure in question would never happen - and yet it did. That was quite a rabbit-hole to go into to figure out.
by marcelbundle | 2025-11-26 20:48:25+00:00
Howdy HN, Im Marcel one of the guys that cobbled together our alternative to Ayrshare.

We created it due to cost. Per seat pricing is something that I kinda despise in enterprise tools. I get it. There is an allure because when you are small, you pay next to nothing, but you will be rinsed out when clients come in. That's why we don't have account limits, meaning you can connect as many accounts as you want to. We don't care.

(Im not Mother Theresa tho, there are posting limits, we manage 250k social accounts so they aren't too restrictive)

Hope you can save some money c:
by jedbrooke | 2025-11-26 20:48:47+00:00
I got tripped up by this one (sorry for spoilers):

> Bees collect pollen from flowers and make honey. They also drive tiny cars to get from flower to flower!

The explanation given is that it’s not factually correct, therefore it’s AI slop. Maybe I didn’t pay enough attention to the instructions, but aren’t humans also capable of creating text that is not factually correct, and at times is done so not out of ignorance for for artistic or humorous purposes? This example here sounds like something that would be written by a child with an active imagination, and not likely the kind of “seems plausible but is actually false” slop that LLMs come up with.
by _rwo | 2025-11-26 20:48:56+00:00
> And finally you have a brilliant idea of hiring a second $150k/year dev ops admin (...)

in my experience you always need a "Devops team" to operate all that cloud stuff; so to paraphrase - suddenly you're spending $400k on three devops to operate $500k cloud

I think The Promise behind the cloud was you just pay for the service and not worry about it, but in practice you need some team to maintain it
by jeffbee | 2025-11-26 20:49:16+00:00
This level of derangement pervades the housing discourse from the left, and it's best to ignore it. At best you will argue in circles forever. At worst, you will be called a fascist bootlicker, etc.

People with normal mental health agree that having enough homes for all the people is a precondition of considering the housing problem to be "solved".
by zarzavat | 2025-11-26 20:49:29+00:00
It's hard to put into words how unsafe Singapore makes me feel.

No, literally, it's hard to put it into words. I feel that if I criticize the country, the govt might take revenge the next time I visit. (See also: Bald JD Vance)

Metrics aren't everything. Singapore might be on paper a great place to live, but it could never be a home.
by wg0 | 2025-11-26 20:49:43+00:00
It is very simple. Let's forget other domains and talk about software industry alone.

If they capture it fully that would only mean that OpenAI gets a portion of the engineering spend (because it is supposed to save on engineering salaries) which is a portion of the total spend which is almost always less than the total revenue.

Now estimate the total revenue of all software companies combined in the world and look at their engineering spend and a faction of that is what OpenAI can have in best case scenario.

So... Bubble.
by KK7NIL | 2025-11-26 20:49:45+00:00
> This is only the EUV light source, not an entire wafer fab.

When we say "EUV machine" in the semiconductor context, it's pretty unambiguous that we're talking about a lithography machine using EUV and that can do, at least, ~120 300 mm wafers per hour.

As another comment explained, that machine you linked to is nothing like what we mean by "EUV machine", it's not even attempting to be a lithography tool.

At first I thought you were being willingly misleading but your wording suggests you're not, so I suggest binging Asianometry on YouTube if you'd like to get up to speed on the semi industry.
by neilv | 2025-11-26 20:49:47+00:00
> [...] when multiple employees reported that a representative of The Boring Company was soliciting them to bail on Shane and work directly for TBC [...]

> [...] noting that many prospective employees won’t work on the project because of Musk’s reputation.

It's a sad situation, but great to see workers being smart: knowing who deserves loyalty, and who is not to be trusted.
by foxglacier | 2025-11-26 20:50:10+00:00
Is your complaint that it's only been allocated funding and doesn't actually exist yet? That's a bit of a stretch for click-bait. It's still an unusual type of vehicle.

Turns out an engine can be air-breathing even it it doesn't burn fuel with the oxygen from the air, but just uses it as reaction mass so this concept would still be air-breathing if it existed.
by zach_moore | 2025-11-26 20:50:16+00:00
The truth is more important than your points.

"The reason is because VC needs to show that their flagship investments have "traction" so they manufacture ecosystem interest by funding and encouraging ecosystem product usage. It's a small price to pay. If someone builds a wrapper that gets 100 business users then token use on the foundation layer gets that passed down. Big scheme."
by bpodgursky | 2025-11-26 20:50:32+00:00
I actually think the US industry is perfectly capable of competing in the space race if given regulatory streamlining, long-term consistent goals, and relatively modest funding by congress.

But none of those are going to happen. I mean SpaceX was delayed to do an environmental impact statement to check whether their rockets would land on whales in the gulf of mexico. Nobody's serious.
by greycol | 2025-11-26 20:51:02+00:00
It's really hard to tell because with the currently high price for headsets it leans really hard into being a solitary activity.

Don't get me wrong you can play games like beat saber ala singstar or rockband taking turns but it's an order of magnitude more if you want the second "controller" and you need much more space. Let alone the equivalent of buying an extra TV for everyone you want to watch a movie with.

When you add on the ergonomics of the device which even with good setups mean you need "heavy" cabling or have limited runtime due to battery it's hard to recommend it to even mates who use their whole weekend on gaming.

That being said I have a Pimax 8k I bought second hand and VR is really an awesome experience when you're in it so it's easy to see why the excitement is still there. I'll also mention some of the extreme sports camera stuff is often 360 if not 3d which benefits from a headset.
by Scubabear68 | 2025-11-26 20:51:24+00:00
In the United States, males are known to be as stupid as a box of rocks when it comes to any sort of moving vehicle.

Male cyclists are much more prone to be doing 40mph wheelies down a blind hill in the middle of the road than woman.

Don't get me started on motorcycles, PA is just next store (we are over the border in NJ). PA doesn't require helmets for motorcycle riders, and many male riders happily throw helmets to the wind. The level of stupidity there is astronomical.
by mikeayles | 2025-11-26 20:51:26+00:00
Thanks very much. ScopeDOOM definitely has potential, I need to work on the occlusion logic to clean up the display, whilst it's not particularly visible on the demo, I did actually use distance to 'camera' to control pcb trace thickness, so close walls look thicker.

In lieu of an intensity channel for the scope implementation, slowing down the vector drawing for segments would make them 'brighter' on a proper scope, but I don't know if my relatively cheap Siglent would be able to distinguish between them.

I've got some NI DAC's here, or could use a mcu, the practical limit of the DAC on a teensy 4.1 is reportedly around 1Mhz, however for me I don't think theres a practical reason to do so.

Although, a native implementation on a teensy, with the wad on an sd card and direct input, no computer at all is very tempting...

Back on track, i've got to spend a bit more time focussing on work and other projects, but I have my next ludicrous port planned already.
by Snuggly73 | 2025-11-26 20:51:59+00:00
looking at the "att" branches (excuse my unhealthy curiosity) I can only say - "jesus fucking christ".

from the old parser ast -> to json -> to new ast representation (that is basically again copy of the old one) -> to some new incomplete bytecode generation

im sure there is some good explanation, but....why?! :)
by cjbgkagh | 2025-11-26 20:52:39+00:00
Yeah, that's one of the reasons I waited for usage data is that I was pretty sure people with hEDS would have an overly strong reaction, and that did happen in my case and appears to have happened with other with hEDS. I started at 0.025mg (1/20th the 0.5mg starting dose at the time) and still got temporary gastroparesis which was indeed very uncomfortable. I had done long term fasting prior to semaglutide so I had to just stop eating for a long time while the effects started to wear off. Over the first year I ramped up linearly to 1mg and I've been at that dose since.
by us-merul | 2025-11-26 20:52:43+00:00
I saw a comment recently that described the shift to a "consumer economy." Relative to boomers, millennials have increased access to goods and services like high-definition televisions, computers, international travel, and luxury foods (e.g., avocado toast). But in terms of wealth and assets, millennials have reduced or less feasible access to things like home ownership or college degrees (not to mention childcare or healthcare), compared to boomers. Though the causes of this shift are up for debate, it does seem that boomers had an easier path to ownership or growth, while millennials and beyond face more rent-seeking obstacles.
by Bender | 2025-11-26 20:52:44+00:00
I wouldn't say they should be made illegal

Or at least not enforceable since I can put just about anything in a ToS such as giving me your first born, all your money or any other shenanigans that do not strictly violate a law. Adding to this most here have violated the ToS/AuP on just about every platform they utilize at one point or another even if they do not realize it.
by MarkSweep | 2025-11-26 20:53:03+00:00
Is it really an obvious use case of LLMs? Traditional byte code to source decompilers are faster, use less memory, and are deterministic. Using a LLM to decompile code makes as much sense as using a LLM to compile code.

That said there are probably ways a LLM could improve a decompiler in a way that does not impact its correctness. Like deriving class and variables names based on context, when symbols are missing or obfuscated.
by jaredcwhite | 2025-11-26 20:53:15+00:00
I'm flummoxed by the comments here, and why is this flagged? The article couldn't be clearer:

Startup had a product. Revenue was going down, headcount was already brought to a bare minimum. Startup started to prepare to exit and return remaining funds to investors. Game over.

Instead, investors talked startup leadership into firing nearly everyone still around working on the product and pivot to using a vibe-coded SaaS for the basis of its product. All signs point to this being a poor-quality, faulty, quite possibly illegal product as a result, but do leadership & investors care? Seems not.

OP is going to aid in the migration (my question: WTF?) and then leave.

My commentary: our industry is so fscked, and a hearty two-finger salute to every software engineer who told me in 2023 that AI wasn't going to replace humans, the humans who use AI are going to replace humans. Lol, lol, and again I say, lol.
by jorvi | 2025-11-26 20:53:22+00:00
The Alzheimer """cure""" claim was already disproven by another study. Aside from that, the people who stop taking GLP, 75% gain 50-75% of their bodyweight back and lose all concomitant cardiovascular, cancer etc. risk benefits.

No research out on, say, alcoholism yet, but I'd hazard a guess the results are the same.

This is not a cravings loss drug but largely a cravings management drug. Which is still pretty great but it saddles healthcare funding systems with an enormous burden for the next 20 years. Or you keep it private, which means you introduce an enormous gulf of health inequality.

I hate that our solution to obesity is not the way Iceland treated it's youth drinking problem: reduce access to the harmful thing, give people money and support to do the healthy thing. Stick with it instead of cancelling the program if it doesn't show results in 4 years.

Modern food (started in the 80s) has carefully been engineered to be as addictive as possible, health consequences be damned. Let's start fixing the problem there.
by hobofan | 2025-11-26 20:53:34+00:00
A large portion of those customers buy those models from their preexisting cloud vendors: AWS, Azure, GCP.

The customers are also price sensitive and are for many use-cases largely fine with last-generation model performance if that means they are cheaper. With that, there is little moat for the model creators, forcing a race to the bottom for model licensing, and the biggest chunk of the profit being captured by the cloud providers.
by iLemming | 2025-11-26 20:53:53+00:00
I wasn't trying to denigrate Common Lisp, I'm sorry if I hurt your feelings. It does have comprehensive support for all kinds of data structures. I wasn't talking it being limited to "list processing". SBCL is great for many things, but from many practical points Clojure actually much better suited for data analysis.

You're saying: "hash-tables (what Clojure calls maps)" not only inaccurate, you're hand-waving Clojure's core design philosophy (immutability, structural sharing, lazy sequences) as orthogonal. But those aren't cosmetic differences - they're the reason why Clojure's data structures are fundamentally better for data analysis. I think you're confusing "having equivalent data types" with "solving the same problem the same way"
by wltr | 2025-11-26 20:54:59+00:00
Commenting on the internet points (this article is having), I realised I was reading most of the popular things here for some time, months, and it was such a huge and careless waste of my time…

So I’m not even surprised it’s having so many internet points. As if they were the sign of quality, then the opposite. Bored not very smart people thinking the more useless junk they consume, the better off they’ll become. Doesn’t work that way.
by drdeca | 2025-11-26 20:55:03+00:00
Such a thing would not be a field.

You can define an additive group $\frac{1}{n}\mathbb{Z}$ if you like. However (for $n > 1$) it would not even be a ring, because it would not be closed under multiplication. (It's closure under multiplication would be $\mathbb{Z}[\frac{1}{n}]$, which would not have a smallest positive element, contrary to your design criterion.)

(Of course, you could define a partial multiplication on it. I don't think there's a good name for such a thing. I guess you could just call it "a subgroup of the rational numbers under addition, equipped with a partial multiplication operation that is defined and agrees with the usual multiplication on rational numbers when the result would still be in the subgroup")
by nonameiguess | 2025-11-26 20:55:47+00:00
RL is a technique for finding an optimal policy for Markov decision processes. If you can define state spaces and action spaces for a sequential decision problem with uncertain outcomes, then reinforcement learning is typically a pretty good way of finding a function mapping states to actions, assuming it isn't a sufficiently small problem that an exact solution exists.

I don't really see why you would want to use it for binary classification or continuous predictive modeling. It's why it excels in game play and operational control. You need to make decisions now that constrain possible decision in the future, but you cannot know the outcome until that future comes and you cannot attribute causality to the outcome even when you learn what it is. This isn't "hot dog/not a hot dog" that generally has an unambiguously correct answer and the classification itself is directly either correct or incorrect. In RL, a decision made early in a game probably leads causally to a particular outcome somewhere down the line, but the exact extent to which any single action contributes is unknown and probably unknowable in many cases.