MurphyA/hacker-news huggingface dataset:
by maciejzj | 2025-12-09 15:15:07+00:00
Yeah, I am familiar with these works of art and probably most people are. However, they were mostly speculative. Now we are facing some of their premises in the real world. And the guys who push the technology in a reckless way seem to notice this, but just nod their heads and carry on.

At long last, we have created the Torment Nexus from classic sci-fi novel Don't Create The Torment Nexus.
by giraffe_lady | 2025-12-09 15:15:26+00:00
Food is what we're made of it and the buying, cooking, eating of it provides a lot of the structure of our lives. I'm skeptical of a view that would have us be even further alienated from these activities.

Shopping for food is important to me because food is important to me, and I have no desire to change this despite how "inefficient" it may be. This attitude has already very nearly optimized out most of the texture of daily life to no benefit that is apparent to me.
by apoorvkh | 2025-12-09 15:15:37+00:00
tyro has been my (by far) preferred Python CLI library for a couple years! I generally like the ability to automatically generate a CLI in one line, without explicit boilerplate like ArgumentParser.add_argument() or @click.option(). It supports a lot of Python type structures [1] and creates very nice, configurable interfaces.

[1] https://brentyi.github.io/tyro/goals_and_alternatives/#compa...
Divyam-LLM-interop:LLM responses,requests translation across APIs and models
by omkarashish | 2025-12-09 15:15:42+00:00
We at divyam.ai built a library that translates LLM requests and responses across different model families and APIs, including OpenAI’s Chat Completions and the newer Responses API.

It handles model-specific idiosyncrasies across popular families like GPT, Gemini, Llama, Qwen, and others. This includes dropping unsupported fields, renaming deprecated ones, normalizing structures, and generally cleaning inputs so they conform to each provider’s/model's stricter expectations.

The library also converts between OpenAI Chat Completions and the new Responses format, enabling modern clients to interoperate with older APIs or third-party models seamlessly.

The primary use cases are LLM routers that transparently redirect requests to different models for cost or performance optimization, and AI frameworks that expose a unified LLM interface while supporting multiple underlying providers.

Github link: https://github.com/Divyam-AI/divyam-llm-interop
by freejazz | 2025-12-09 15:15:44+00:00
>The freedom to do something has nothing to do with how easy it is to do, or even the absolute viability.

Are you confusing me with someone else?

> For a basic example of the latter, every US citizen by birth has the freedom to become President some day, yet of course it is literally impossible for more than 0.000006% of people to achieve that within their expected lifetimes

I have no idea what this has to do with my point and you have not adequately explained the relevancy either.
Show HN: A simple natural-language scheduling tool for finding a time to meet
by paul_brook | 2025-12-09 15:16:18+00:00
Hi HN,

I often use whenisgood.net to help two or more people find a time for a meeting or event that works for everyone. It does the job, but after using it a lot I found the interface involved a bit too much set up and grid clicking, and I wanted a more natural way to express availability.

Schedulegend lets people type their availability in plain English, for example: "next two weeks between 11am and 3pm but not Fridays or weekends"

How it works:

If you’re creating an event: You open the site, set it up in a few seconds, and share the link with participants. On the results page, you can see at a glance which times work for everyone.

If you’re a participant: You open the link, type your availability, and your input is interpreted automatically.

Right now the tool only supports 1-hour time slots, but I’m happy to add other durations if people find it useful.

Goals:

1. Natural-language availability instead of too much grid clicking 2. No login, zero friction 3. Fast, minimal interface 4. Free

I’m curious whether this approach feels smoother than traditional group-scheduling tools.

Feedback very welcome!
by markus_zhang | 2025-12-09 15:16:31+00:00
I loved the campaigns so much that I spent many dollars to play with the campaign editor in a net bar back then. I never figured out how to recreate the Corsair scene at the beginning of Protoss level 2. It was only after many years that I found out that it requires a script not in the official editor — some modders created a new editor that includes all those “unofficial” scripts.
by wiether | 2025-12-09 15:16:49+00:00
I have this conversation regularly with friends, family, coworkers...

And I've not yet been able to establish the right criteria to guess how a person is buying their groceries.

Location, age, income, number of people in the household, physical ability...

A single guy living in the city center with good income? Takes his car to go in big supermarket outside the city.

A family with four kids living in the suburbs? Goes everyday in the small shops.
by YesBox | 2025-12-09 15:17:27+00:00
So happy I bought this game on GOG before they replaced it with the revamped version (modern looking art, etc).

I played through the orc campaign last year and had fun. It's definitely aged, but it makes me wonder if something like that could exist today. Story games are popular, and I think always will be (people like stories).

Instead of a solo protagonist, can we bring back the hero (a la WarCraft III) and their army? Or even the invisible god like WC2?
by mrwrong | 2025-12-09 15:17:28+00:00
this whole analogy is so tired. "LLMs are stupid, but some humans are stupid too, therefore LLMs can be smart as well". let's put aside the obvious bad logic and think for one second about WHY some people are better than others at certain tasks. it is always because they have lots of practice and learned from their experiences. something LLM categorically cannot do
by verelo | 2025-12-09 15:17:39+00:00
When the inexperienced move to become rare and on the frontier, sure they get an advantage but the field doesn’t get the benefit, they do. This is why the early days of Node were awful. So many jr devs (that’s being generous, mostly designers with a base knowledge of js) were jumping from writing front ends to entire stacks. They won, the stacks lost.

Experience matters and it’s an advantage, that’s not a reason for new people not to compete but rather one to understand that context and use it to help them grow.
by mrcino | 2025-12-09 15:17:52+00:00
The UI/UX design is not about standards and guidelines but about what the manager currently likes. There is no discipline because senior managers don't care until Excel cells turn red.

Steve Jobs was forcing design discipline across Apple products with furious determination because he actually cared.

That's how it ends, everything becomes an unmanageable, constantly changing mess because every manager likes something else and big firms are rotating their personnel every 3 years.

Because the above products of the same company are losing cohesion and consistency even if they are in the same product line which results in bad UX.

Design departments are not disciplined enough...
by tiagorosadacost | 2025-12-09 15:17:55+00:00
Hi everyone!

I created a playlist of videos https://www.youtube.com/playlist?list=PLZlx9KubtKCuRR4nX5uAm... showing about Supabase/Postgresql queue where I explaining about it: - What is it? - What is type of application where make sense to apply it. - How to send a message to queue. - How to consume a message to queue. - How to consume the messages in a scalable way, combining Supabase and Valtown can process 10.000 messages per day or more without problem. PS: 100% free, because you can use the free tier plan on both Supabase and Val Town

Warning:

- The videos have focused on sharing knowledge about something learned recently which can be helpful for small and middle-sized companies has apps such as: micro-saas, saas, freelance applications that have limited budgets or startups. PS: is not right solution for big project or has big volume of messages to process.
by MrAlex94 | 2025-12-09 15:18:05+00:00
Waterfox might be what you’re after?

- Supports JXL out of the box (including support for alpha transparency and animations)

- Vertical tabs with optional tree tabs (hired the original tree style tab developer to implement the feature)

- For profit, but I don’t want your data, collect it or use it to earn a living (telemetry/analytics/experiments disabled at build time and alongside a fair few patches on top to make sure external connections are limited to what’s necessary)

Sidebar, I’m the developer of Waterfox
by antisthenes | 2025-12-09 15:18:32+00:00
> The young have bigger stakes, projecting the trajectory leads to an absolute no go, for them.

If you told the young graduate me where I would end up in 15 years, I wouldn't have believed it.

The young may have a long trajectory ahead of them, but they are absolutely bad at planning and predicting where they will end up (unless you have rich parents, which means you'll probably end up okay regardless)
by HarHarVeryFunny | 2025-12-09 15:18:50+00:00
I think if we're considering the nature of intelligence, pursuant to trying to replicate it, then the focus needs to be more evolutionary and functional, not the behavior of lazy modern humans who can get most of their survival needs met at Walmart or Amazon!

The way that animals (maybe think apes and dogs, etc, not just humans) learn is by observing and interacting. If something is new or behaves in unexpected ways then "prediction failure", aka surprise, leads to them focusing on it and interacting with it, which is the way evolution has discovered for them to learn more about it.

Yes, an LLM has some agency via tool use, and via tool output it can learn/verify to some extent, although without continual learning this is only of ephemeral value.

This is all a bit off topic to my original point though, which is the distinction between trying to learn from 2nd hand conflicting heresay (he said, she said) vs having the ability to learn the truth for yourself, which starts with being built to predict the truth (external real-world) rather than being built to predict statistical "he said, she said" continuations. Sure, you can mitigate a few of an LLM's shortcomings by giving them tools etc, but fundamentally they are just doing the wrong thing (self-prediction) if you are hoping for them to become AGI rather than just being language models.
by zcw100 | 2025-12-09 15:18:57+00:00
Ever seen the movie OfficeSpace? It's funny as hell partly because there's a lot of truth to it. Here's the interesting part it was released in 1999 and the dot-com bubble didn't burst until March 2000. It didn't do well when it was released, probably because everyone was busy snorting toxic positivity, but it endured longer than Enron.
by nostrademons | 2025-12-09 15:19:19+00:00
If you've actually mastered that quadrant - why would you be an engineer? Learn fundraising too (which in this environment is super-easy if you're AI-related, I've heard multiple reports of people in their 20s being offered $5M+ in seed funding if they start a company that has "AI" in the name) and make them acquire you. If you've got management and sales skills your startup might even succeed before they acquire you.
by torginus | 2025-12-09 15:20:01+00:00
I have not claimed the techniques are similar - going by your example, theres a large set of overlapping skills for both Photoshop and using a paintbrush (color theory, anatomy, perspective etc.), and from the PoV of the end-user, the merits of the piece are what's important - not process.

I'm sure while the AI lab folks didn't have the techniques and compute to do ML like we do now, they have thought a lot about the definition of intelligence and what it takes to achieve it, going from the narrow task-specific AIs to truly generic intelligence.

ML/RL allowed us to create systems that given a train/test set, can learn underlying patterns and discover connections in data without a developer having to program it.

Transformers/LLMs are a scaled up version of the approach (I don't want to get into the weeds as it's beside the point)

Stallman asserts LLMs fall short of general intelligence, which I think he has a much better understanding of what that entails than most people give him credit for. Considering his AI past, I'd be surprised if he didn't keep up with the advancements and techniques in the field at least to some degree (or that understanding said techniques would be beyond his ability).

Because of this, I'm running with the theory that he knows what he's talking about even he doesn't elaborate on it here.
by tclancy | 2025-12-09 15:20:13+00:00
I feel this is all contentious because, like so much in coding, we have people taking Thing That Works For Me on their current project or in their experience over time and declaring it to be The One True Way while other people are in completely different codebases with different priorities around shipping v quality v cost or what have you and are complaining "That doesn't work for me, Y has always been my go to".

The answer is most definitely, 100%, with no room for argument, to not speak so assuredly, acknowledge other people have the right to think differently and find synthesis and/ or a set of heuristics that apply for given cases.

But this is the Internet, and we need to be arguing PS2 vs X-Box for the rest of our lives, so have at it.

(Me? Factories are great until they aren't, which may not happen if a project or a team is small enough. Generators are great but do have some footguns and I would love to hand over everything to property-based testing, but I _feel_, without any experimenting or trying, they resist anything other than the purest of pure unit tests and can't help with integration tests that much.)
by opinion3k | 2025-12-09 15:20:18+00:00
I do most the cooking in my house, and the majority of it is meat and produce. I can say from years of experience that it's easy to grab a bad apple if you aren't paying attention or know about food quality, and from the grocery pickers I've seen, they aren't and don't.

A guitarist doesn't just buy some random guitar from amazon - they see it in person and play it. If you cook and care about your food, using a food service just isn't something you'll want to do.
by palmotea | 2025-12-09 15:20:29+00:00
> If automation reaches the point where 99% of humans add no value to the "owners" then the "owners" will own nothing.

I don't think that's right. The owners will still own everything. If or when that happens, I think the economy would morph into a new thing completely focused on serving the whims of those "owners."

There's an old Isaac Asimov book with something similar: https://en.wikipedia.org/wiki/Foundation_universe#Solaria (though accomplished more peacefully and with less pain than I think is realistic).
by retsibsi | 2025-12-09 15:20:34+00:00
It's my impression that the shift from 'basically normal government' to 'authoritarian nightmare', when it happens, tends to happen quite abruptly rather than via the ratchet effect/frog-boiling. And there seem to be plenty of examples of democracies that have remained basically normal despite decades' worth of policies that libertarian-leaning observers would decry as the thin end of the wedge. I'm open to being convinced that the risk of a policy like this clearly outweighs its benefits, but I think I need a specific causal pathway and/or historical precedent rather than general arguments.
by tim333 | 2025-12-09 15:20:45+00:00
You can kind of separate the technical side of what will likely happen - AI get smarter and can do the jobs - with how we deal with that. Could be heaven like with abundance and no one needs to work, or post apocalyptic dystopia or likely somewhere in the middle.

We collectively have a lot of choice on the how we deal with it part. I'm personally optimistic that people will vote in people friendly policies when it comes to it.
by breckinloggins | 2025-12-09 15:21:09+00:00
Other resources I like:

- Eskil Steenberg’s “How I program C” (https://youtu.be/443UNeGrFoM). Long and definitely a bit controversial in parts, but I find myself agreeing with most of it.

- CoreFoundation’s create rule (https://stackoverflow.com/questions/5718415/corefoundation-o...). I’m definitely biased but I strongly prefer this to OP’s “you declare it you free it” rule.
by neom | 2025-12-09 15:21:13+00:00
"What kind of battery is inside?

Index 01 uses silver-oxide batteries.

Why can’t it be recharged?

We considered this but decided not to for several reasons:

You’d probably lose the charger before the battery runs out! Adding charge circuitry and including a charger would make the product larger and more expensive. You send it back to us to recycle. Wait, it’s single use?

Yes. We know this sounds a bit odd, but in this particular circumstance we believe it’s the best solution to the given set of constraints. Other smart rings like Oura cost $250+ and need to be charged every few days. We didn’t want to build a device like that. Before the battery runs out, the Pebble app notifies and asks if you’d like to order another ring."

Uhhh... Huh... Ok. Welp, that's a nope from me then.
by YauCheukFai | 2025-12-09 15:22:22+00:00
We opted for immediate Open Access (Zenodo) rather than the traditional journal route.

The reasoning was two-fold:

1. Speed & Accessibility: We wanted to release the findings to the community immediately for open verification, rather than waiting 12+ months for a closed process.

2. Reproducibility: Since the theory posits the text is procedural code, we felt the best form of "peer review" would be to build a parser and let people test the generative rules themselves (hence this demo).
by tw04 | 2025-12-09 15:22:25+00:00
Not sure how I feel about it being a throwaway device for $100. I get they say you can send it back to be recycled, but this feels like you’re just proactively creating e-waste.

Not even an attempt to make a replaceable or chargeable battery?

Also they point out oura rings need to be charged every few days, but that’s because they’re constantly chewing through battery monitoring your health stats. I’m willing to bet if they were in a constant state of deep sleep and only woken up to record short audio clips they’d also last for months at a time.

I know folks around here love pebble, but this feels like a miss to me.
by WhyOhWhyQ | 2025-12-09 15:22:37+00:00
"AI always thinks and learns faster than us, this is undeniable now. "

Sort of a nitpick, because what's written is true in some contexts (I get it, web development is like the ideal context for AI for a variety of reasons), but this is currently totally false in lots of knowledge domains very much like programming. AI is currently terrible at the math niches I'm interested in. Since there's no economic incentive to improve things and no mountain of literature on those topics, unless AI really becomes self-learning / improves in some real way, I don't see the situation ever changing. AI has consistently gotten effectively a 0% score on my personal benchmarks for those topics.

It's just aggravating to see someone write "totally undeniable" when the thing is trivially denied.
by walthamstow | 2025-12-09 15:23:04+00:00
> No charging: The battery lasts for up to years of average use. After the end of its life, send your ring back to us for recycling.

I shared your concerns but I read this bit and I think it's all pretty reasonable if you ask me. They're open and upfront about it, and you can very quickly choose not to buy one.

Who's recycling their Oura battery anyway? Probably nobody.
by IAmBroom | 2025-12-09 15:24:02+00:00
I worked in a CD foundry in the early 1990s. Scratches that were not tangential (perpendicular to the radius) were irrelevant, as the basic CD encoding scheme provide something like (IIRC) 30+ bytes of data parity protection. If the scratch width along the track wasn't longer than that, it didn't exist.

If it did exist, some toothpaste rubbed tangentially around the CD on your fingertips was often enough to buff it out, at least as far as the 30-byte limit cared.

It was a phenomenal jump in data integrity, built in at the recording level. Sure, you could encode even floppies with that scheme... but your computer didn't, natively.
by jtbayly | 2025-12-09 15:24:06+00:00
I assume they will produce their own AI once the dust settles, just like they produce their own chips now.

Apple has generally been a company that waits, gets criticized for being behind, and then produces a better version (more usable, better integrated, etc), claims it is new, and everybody buys it. Meanwhile a few people moan about how Apple wasn't actually the first to make it.
by digitalsushi | 2025-12-09 15:24:07+00:00
does anyone remember that episode of star trek tng where the kid is given a little laser engraver that carves a dolphin from a block of wood? and the kid is like "i didn't make this" and the teacher (who abducted him, ew) is like "yeah but it's what you wanted to make, the tool just guided you"

so in 2026 we're going to get in trouble doing code "the old way", the pleasurable way, the way an artist connects with the work. we're not to chefs any longer, we're a plumber now that pours food from a faucet.

we're annoyed because our output can suddenly be measured by the time unit. the jig is up. our secret clubhouse has a lightbulb the landlord controls.

some of us were already doing good work, saving money, making the right decisions. we'll be fine.

some of us don't know how to do those things - or won't do those things - and our options are funneled down. we're trashing at this, like dogs being led to the pound.

there's before, there's during, and there's after; the during is a thing we so seldom experience, and we're in it, and 2024 felt like nothing, 2025 feels like the struggle, and 2026 will be the reconciliation.

change sucks. but it's how we continue. we continue differently or we dont exist.
by smith7018 | 2025-12-09 15:24:13+00:00
Beyond Hacker News, I haven't seen anyone actively asking for AI features. People have been complaining about Siri for over a decade but it's not like users are turning against Apple because it isn't using an LLM (yet). Rather, it seems like users are increasingly wary of AI features being shoehorned into products they were already using.
Gemini 3 fails at simple geometry
by zkmon | 2025-12-09 15:24:23+00:00
I submitted the following prompt and it identifies a arrow-head shaped concave polygon as a cyclic. I tried to correct it by explanning the concave shape multiple times, but it asserted its conclusion 4 times. Following is the prompt.

If two pairs of lines intersect with their angle bisectors being perpendicular to each other, we have a cyclic quadrilateral as their intersection points. In all, we have 6 points in the plane. Is there another cyclic quadrilateral hiding among these 6 points?
by naasking | 2025-12-09 15:24:38+00:00
If you don't pass the size, the allocation subsystem has to track the size somehow, typically by either storing the size in a header or partitioning space into fixed-size buckets and doing address arithmetic. This makes the runtime more complex, and often requires more runtime storage space.

If your API instead accepts a size parameter, you can ignore it and still use these approaches, but it also opens up other possibilities that require less complexity and runtime space by relying on the client to provide this information.