MurphyA/hacker-news huggingface dataset:
by poojagill | 2026-02-16 09:56:07+00:00
From what I’ve seen, being in a mix of industries, having several businesses, the kids want nothing to do with it because they’ve had a negative experience from it. I see parents working their kids, but never paying them anything. Or constantly berating them for the work they do put in, because a 16yr old doesn’t do the quality work a 45 yr old can do.

It’s okay to have chores that are their responsibility, but when they are 16, running the grain buggy, plowing stubble, or loping horse for 8-12hrs a day, sometimes both in a week, they’re doing a full days work, and deserve a full wage. At that age, you should also be discussing the future… how will this place move forward, are you interested, will you stay with it? Kids shouldn’t work for free. If they have the understanding they’re working towards something that will be theirs in the future, it’s an incentive. But so many parents don’t include their kids in the decision making, don’t teach them what it takes to manage, and don’t prepare them for the future. So the kids feel like they need to go out on their own to make their own place. Then they discover that most places pay more than minimum wage and only have an 8 hour work shift that’s not 7 days a week, a retirement plan, often with insurance.

If you want the farm/ranch to stay in the family, you need to plan accordingly, same as planning crops in the spring, or planning grazing strategies for the herds. Teach those kids the skills they’ll need, and make it a two-way conversation.
by otabdeveloper4 | 2026-02-16 09:57:15+00:00
> The only tangible thing we have to show is software development, and some other fairly niche jobs, have changed _a bit_.

There is zero evidence that LLMs have changed software development efficiency.

We get an earth-shattering developer productivity gamechanger every five years. All of them make wild claims, none of them ever have any data to back those claims up.

LLMs are just another in a long, long list. This too will pass. (Give it five years for the next gamechanger.)
by gwd | 2026-02-16 09:57:20+00:00
But this one isn't like the "How many r's in strawberry" one: The failure mode, where it misses a key requirement for success, is exactly the kind of failure mode that could make it spend millions of tokens building something which is completely useless.

That said, I saw the title before I realized this was an LLM thing, and was confused: assuming it was a genuine question, then the question becomes, "Should I get it washed there or wash it at home", and then the "wash it at home" option implies picking up supplies; but that doesn't quite work.

But as others have said -- this sort of confusion is pretty obvious, but a huge amount of our communication has these sorts of confusions in them; and identifying them is one of the key activities of knowledge work.
by vitorlourenco | 2026-02-16 09:57:33+00:00
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by cyberax | 2026-02-16 09:58:21+00:00
Our webapp is nearly instant, and it's built on raw React with some sprinkling of Tanstack (their Local Collection DB is a masterpiece).

And our stack is intentionally client-heavy. We proactively synchronize all the relevant data and keep it in IndexedDB, with cross-tab coordination. The server is used only for mutating operations and for some actions that necessarily require server-side logic.

The issue with dependencies and the package size if valid, but it's also really not a big deal for performance unless you go WAAAY overboard. Or use crappy dependencies (Clerk, I'm looking at you, 2.5Mb for an auth library!?!?).

As for hydration, I found that it often slows down things. It's a valid approach when you're doing query-based apps, but when you have all the data locally, it just makes little sense. It also adds a ton of complexity, because now your code has to automagically run in multiple environments. I don't think it can really ever work reliably and safely.
by Der_Einzige | 2026-02-16 09:59:37+00:00
How many leftists are in the Epstein files again? Chomsky (“manufacturing consent is an icky book in retrospect…), and then the next most left wing figure is… bill clinton? Or did I miss some folks?

It’s not the Bernie, AOC, Ilhan Omar class who’s in the Epstein files. Hell even Elizabeth Warren isn’t in them!

It’s really just one side. The left always will eat its own but in the context of disliking pedophiles they are spotless (in America, Europe is a whole different beast with Foucault et al and his ilk protesting French age of consent laws - but that was far before epsteins time)
by someone_19 | 2026-02-16 09:59:39+00:00
> but the good parts of JS are better than anything else in existence

What you talking about?! I can't think of a single thing in Js that I could say is good.

Okay, two big corporations have invested a lot of money and effort into making V8 and TypeScript, and now it's useful. But I don't consider it exactly part of Js.
by pwython | 2026-02-16 09:59:44+00:00
See: Rick Rubin.

"Rick Rubin says he barely plays any instruments and has no technical ability. He just knows what he likes and dislikes and is decisive about it."

https://www.cbsnews.com/news/rick-rubin-anderson-cooper-60-m...

https://en.wikipedia.org/wiki/Rick_Rubin_production_discogra...
by pickleRick243 | 2026-02-16 09:59:47+00:00
But also why would you ask whether you should walk or drive if the car is at home? Either way the answer is obvious, and there is no way to interpret it except as a trick question. Of course, the parsimonious assumption is that the car is at home so assuming that the car is at the car wash is a questionable choice to say the least (otherwise there would be 2 cars in the situation, which the question doesn't mention).
by Fervicus | 2026-02-16 09:59:49+00:00
> If you're the type of programmer who thinks of yourself as just a programmer, and take pride in your secure code, ability to optimize functions and algorithms, you're exactly the kind of programmer AI will replace.

Hard disagree. I foresee the opposite being true. I think the ability to understand and write secure, well optimized, performant code will become more and more niche and highly desired in order to fix the mess the vibe coders are going to leave behind.
by hirako2000 | 2026-02-16 10:01:30+00:00
I like the parallel as Joe Rogan is a trained actor who mastered the art of incorporating all the success factors of its predecessors. He saw obscure podcasts gaining intense viewership, he literally mimicked the patterns and merged it into the "best" of all. Even made his more mainstream, while fooling millions to feel they are part of a niche enlighten resistance community.

I recall listing to one of the now vintage series, I thought it was Joe Rogan himself. But it wasn't, the voice was a bit different but the pause, the reactions, the "waaah" with the overall tone of uncovering some secret truth.

It's a fascinating societal phenomenon, coupled with the American dream, yes.

In any case those examples are doing no good by setting themselves as models for millions to become obsessed in replicating. No surprise the rate of people in depression keeps going up.
by johnnyanmac | 2026-02-16 10:02:03+00:00
>please stop dismissing my experience as lucky or privileged

I'm not gonna harp on it. I'll go to bed and wake up completely forgetting about this thread unless I get another notification.

But you're basically telling me to shut off my feelings. Hard to do. I don't know your experiences, so my feelings can be wrong.

I'm unsure why you are putting so much stock into an uninformed feeling on the internet. It doesn't seem like we want to expand on our stories so there's not much more to go on. And that's fine.

I don't try to assert everything about you, but I'm just explaining the vibes I got. But that's all my words are: vibes.

>Just that there might be worse problems elsewhere

I love my industry and in my personal experience I can count on one hand how many truly problematic coilkeages I've worked with or under. I am lucky in that regard for my industry.

Meanwhile, clients and consumers constantly make me question if I want to continue this career long term. My plan was always to focus more on a B2B angle to insulate from that, but the current winds blowing suggest that angle might not even exist in a decade. So I want to at least have a side hustle ready.

And despite those notions, I'm still on the lucky end in terms of what third and even secondhand accounts I've heard of. Diving more into that pool is unsettling for me, but it might still be more stable than what's going on right now.
by shenberg | 2026-02-16 10:02:34+00:00
Moshi was an amazing tech demo, building the entire stack from scratch in 6 months with a small team was an amazing show of skill: 7B text LLM data + training, emotive TTS for synth data generation (again model + data collection), synth data pipeline, novel speech codec, rust inference stack for low latency, audio LLM architecture incl. text "thoughts" stream which was novel.

But, this piece is a fluff piece: "underfunded" means a total of around $400 million ($330 million in the initial round, $70 million for Gradium). Compare to Elevenlabs who used a $2 million pre-seed for creating their initial product.

A bunch of other stuff there is disingenuous, like comparing their 7B model to Llama-3 405B (hint: the 7B model is a _lot_ dumber). There's also the outright lie: team of 4 made Moshi, which is corrected _in the same piece_ to 8 if you read enough.
by mrb | 2026-02-16 10:02:36+00:00
Mistral's Le Chat also fails spectacularly. Although interestingly it assumes that the "walk" option means you are carrying washing supplies back and forth in order to wash the car while it's parked at home. I wonder if the other models assume this is what you mean, IOW they may not know how a "car wash" normally operates.

"""

Great question! Here are a few things to consider:

If you walk: It’s only 50 meters, so it’s a very short distance—less than a minute on foot.
You’ll avoid getting your car dirty again on the way to the car wash.
It’s a quick way to stretch your legs and save a tiny bit of fuel.

If you drive: It’s so close that driving might feel unnecessary, but it could save you from carrying any supplies (like vacuum cleaners or cleaning products) back and forth. If the weather is bad (rain, extreme heat, etc.), driving might be more comfortable.

Verdict: Walking is probably the easiest and most practical choice for such a short distance, unless you have a specific reason to drive. What’s the weather like where you are? That might help decide!

"""
by zelphirkalt | 2026-02-16 10:03:25+00:00
This doesn't solve the problem but:

If the designer is not aware of the ins and outs of the medium they are supposedly working with, they are not a very well informed and educated designer.

Just like I don't presume to be able to make a great product packaging design, without knowing firstly much more about visual composition and design, but also secondly the material and form and shape I am designing for. Will that be a plastic wrapper, a paper wrapper or some cardboard packaging? Without knowing the limitations and properties of each, how can I expect to create a good design?

Being that uninformed to me seems like not giving a shit about the quality of work one delivers, ergo not giving a shit about ones job, or simply not having the required understanding or skill to be any good at ones job.
by Traster | 2026-02-16 10:03:30+00:00
This is something that has made no sense to me for a while. Trump has done a very good job at telling the EU that the US will no longer back stop their security, and that they need to start taking care of that themselves.

Now, obviously the US very much likes the idea of selling a bunch of extremely profitable military and intelligence solutions to the EU, but it makes 0 sense.

If the US isn't backing the EU's security, and in some cases may actually be on the other side of a conflict, then it's insane for the EU to be dependent on US defence companies.

They have to bring this all local. We saw this early in the Ukraine war where significant amounts of resources got tied up in complex arrangements where the country that manufactured the equipment had a veto over whether the country who owned the equipment could provide it to Ukraine.
by andy12_ | 2026-02-16 10:03:44+00:00
No, your opinion is wrong because the reason some models don't seem to have some "strong opinion" on anything is not related to predicting words based on how similar they are to other sentences in the training data. It's most likely related to how the model was trained with reinforcement learning, and most specifically, to recent efforts by OpenAI to reduce hallucination rates by penalizing guessing under uncertainty[1].

[1] https://cdn.openai.com/pdf/d04913be-3f6f-4d2b-b283-ff432ef4a...
by bzzzt | 2026-02-16 10:03:53+00:00
They still exist, but more as a maker hobby and/or art device than as a 'big printer' like those used for stuff like cartography in the past. A big advantage of plotters is they don't have to carry a pen, but can also (laser) cut or burn stuff.
There are multiple tools for converting SVG to the gcode plotter language.
by mike_hearn | 2026-02-16 10:03:54+00:00
Yes Grok gets it right even when told to not use web search. But the answer I got from the fast model is nonsensical. It recommends to drive because you'd not save any time walking and because "you'd have to walk back wet". The thinking-fast model gets it correct for the right reasons every time. Chain of thought really helps in this case.

Interestingly, Gemini also gets it right. It seems to be better able to pick up on the fact it's a trick question.

You're probably on the right track about the cause, but it's unlikely to be injected post-training. I'd expect post-training to help improve the situation. The problem starts with the training set. If you just train an LLM on the internet you get extreme far left models. This problem has been talked about by all the major labs. Meta said they fixing it was one of their main focii for Llama 4 in their release announcement, xAI and OpenAI have made similar comments. Probably xAI team have just done a lot more to clean the data set.

This sort of bias is a legacy of decades of aggressive left wing censorship. Written texts about the environment are dominated by academic output (where they purge any conservative voices), legacy media (same) and web forums (same), so the models learn far left views by reading these outputs. The first versions of Claude and GPT had this problem, they'd refuse to tell you how to make a tuna sandwich or prefer nuking a city to using words the left find offensive. Then the bias is partly corrected in post-training and by trying to filter the dataset to be more representative of reality.

Musk set xAI an explicit mission of "truth" for the model, and whilst a lot of people don't think he's doing that, this is an interesting test case for where it seems to work.

Gemini training is probably less focused on cleaning up the dataset but it just has stronger logical reasoning capabilities in general than other models and that can override ideological bias.
by jrflowers | 2026-02-16 10:04:05+00:00
> I'm on the fence between "jerky" literally meaning jerky and something else (the discussion sure is weird), but I'm going to need a lot more to think it is human meat.

Oh absolutely, I agree. That aside, given what I’ve read I’d expect to see something more like

“lo=v d th hu=mn babme,et . can u sed mro baby meat ,, th stuff from hunam b.by that we at on my ranch in New Mexico on March 3rd of this year? got a guy @ fedex can do human baby meat shiping sez just declare it’s a h=midor and itl go thru.

Sorry for all my typos, I am on my iPhone.

Sent from my BlackBerry For Business”
by anongazelle | 2026-02-16 10:04:22+00:00
I’ve been wanting a TUI for something like this for a long time. I wasn't sure why one didn't exist yet, so I made it myself.

I tried to keep it minimal, but it can also download more sounds directly using yt-dlp. I think it is pretty much feature-complete now, though I would like to add more default sounds in the future.
by hulryung | 2026-02-16 10:04:24+00:00
Thanks for the bug report! The cask had the app name wrong (Markdown Prism.app vs the actual MarkdownPrism.app). Just pushed a fix — should work now:

brew update && brew reinstall --cask hulryung/tap/markdown-prism

---
Short and to the point — acknowledges the report, explains the fix, gives the command. Want me to adjust the tone or add anything?
by alexhans | 2026-02-16 10:04:30+00:00
Nice article. I think a key part of the conversation is getting people to start thinking in terms of evals [1] and observability but it's been quite tough to combat the hype of "but X magic product just solves what you mentioned as a concern for you".

You'd think cost is an easy talking point to help people care but the starting points for people are so heterogeneous that it's tough to show them they can take control of this measurement themselves.

I say the latter because the article is a point in time and if they didn't have a recurrent observation around this, some aspects may radically change depending on the black box implementations of the integrations they depend on (or even the pricing strategies).

[1] https://ai-evals.io/
by ssivark | 2026-02-16 10:05:03+00:00
I imagine the actor model implemented on top of a stable core (eg. Erlang/Elixir on BEAM) might be a natural fit for a "society of mind" like zoo of agents bustling around, working asynchronously, communicating with each other other and with the user(s), etc. Personally, I'm also excited to see how Spritely Goblins shapes up, esp with because of its support for object capabilities -- which should hopefully be an excellent security model for agentic architectures.
by jakub_g | 2026-02-16 10:05:05+00:00
To me, the main problem is that inevitably, any SPA with dozens of contributors will grow into a multi-megabyte-bundle mess.

Preventing it it's extremely hard, because the typical way of developing code is to write a ton of code, add a ton of dependencies, and let the bundler figure it out.

Visualizing the entire codebase in terms of "what imports what" is impossible with tens of thousands of files.

Even when you do splitting via async `import()`, all you need is one PR that imports something in a bad way and it bloats the bundle by hundreds of kilobytes or megabytes, because something that was magically outsourced to an async bundle via the bundler suddenly becomes mandatory in the main bundle via a static import crossing the boundary.

The OP mentions it here:

> It’s often much easier to add things on a top-level component’s context and reuse them throughout the app, than it is to add them only where needed. But doing this means you’re paying the cost before (and whether) you need it.

> It’s much simpler to add something as a synchronous top-level import and force it to be present on every code path, than it is to load it conditionally and deal with the resulting asynchronicity.

> Setting up a bundler to produce one monolithic bundle is trivial, whereas splitting things up per route with shared bundles for the common bits often involves understanding and writing some complex configuration.

You can prevent that by having strong mandatory budgets on every PR, which checks that the bundle size did not grow by more than X kB.

But even then, the accumulation of 100s/1000s of PRs each adding 1KB, bloats the bundle enough to become noticeable eventually.

Perf work is thankless work, and having one perf team trying to keep things at bay while there are dozens of teams shipping features at a fast pace is not gonna cut it.
by bilekas | 2026-02-16 10:05:25+00:00
> Quality of code has never had anything to do with which products are successful. I bet both youtube and facebook's codebase is a tangled mess.

This is such a bad take and flat out wrong. Your ability to deliver and maintain features is directly impacted by the quality of the code. You can ship a new slop project every day if you like, but in order for it to scale or manage real traffic and usage you need to have a good foundation. This is such a bad approach to Software engineering.
by amiga-workbench | 2026-02-16 10:05:30+00:00
I feel like taking the approach of ramming the entire current desktop userspace into a phone is a misguided one. I can fully see now why Android reinvented the wheel across the board.

If I were to do a Linux Phone platform, I'd be targeting feature phone levels of functionality to begin with, with a focus on battery life and actually working telephony. I'd be aggressively throwing Wayland/GTK and all that nonsense in the bin just to get something basic working well. Draw straight to the framebuffer if you have to. This doesn't help with the app problem, but it sets a tide mark for quality & performance, and it can be iterated on.
by garryclarke1 | 2026-02-16 10:05:43+00:00
In older UK homes, walls can be cold in winter. A 9cm thick padded headboard acts as an extra layer of insulation between the sleeper and the masonry. This ottoman single bed combines this thermal benefit with a practical storage solution. The boucle upholstery is fully UKFR-compliant, offering peace of mind regarding fire safety. Free delivery removes the hurdle of transporting bulky furniture, making it an efficient choice for updating guest or master suites.
by motbus3 | 2026-02-16 10:05:45+00:00
My experience so far:

1. Good for proof of concepts, prototypes but nothing that really goes to heavy production usage
2. Can make some debugging and fixing that usually requires looking the stack, look the docs and check the tree
3. Code is spaghetti all way down. One might say it is ok because it is fast to generate, but the bigger the application, every change gets more expensive and it always forget to do something.
4. Tests it generates is mostly useless. 9/10 times it always passes on all tests it creates for itself but the code does not even start. No matter what type of test.
5. Frequently lied about the current state of the code and only when pushed it will admit it was wrong.

As others said, it is a mix of the (misnomer) Danny Kruger effect and some hype.

I tried possibly every single trick to get it working better but I feel most are just tricks. They are not necessarily making it work better.

It is not completely useless, my work involves doing prototypes now and then and usually they need to be quite extensive. For that it has been a help. But I don't feel it is close to what they sell
by pickleRick243 | 2026-02-16 10:06:02+00:00
I was surprised at your result for ChatGPT 5.2, so I ran it myself (through the chat interface). On extended thinking, it got it right. On standard thinking, it got it wrong.

I'm not sure what you mean by "high"- are you running it through cursor, codex or directly through API or something? Those are not ideal interfaces through which to ask a question like this.