MurphyA/hacker-news huggingface dataset:
by mmooss | 2025-10-19 14:36:19+00:00
> blurs the message

We're starting to go in circles becauase I think you are assuming there is some other message. Love is the fundamental of the message (see GP), according to almost everyone with expertise and many others who have thought about it and experienced it (as far as I know).

That doesn't make it undeniable; still I think we need to address it to go forward. On what grounds do you dismiss it? Inconvenience isn't related to truth.
by mrkeen | 2025-10-19 14:36:39+00:00
Your engineers are wrong. You're not going to be able to bridge that gap.

Here's a scenario: you've partnered with a credit card provider. They charge some money each month per card, and you pass that onto your customers who use the cards.

One day the partner sends you a 'card-cancelled' message. Have you built your system to accept that message unconditionally? Or did your engineers put in defensive code ("fail fast", assertions, status checks, db constraints) so that your system can reject that message?

Because that's how we've built our system at work. Our engineers are proud of something called "data integrity" that our almost-ACID (READ_COMMITTED) DB supposedly has. We won't move to events (listening to what actually happened) because we'd be giving up on pretending that our DB guarantees somehow correspond to what's going on in the real world.
by shortrounddev2 | 2025-10-19 14:37:12+00:00
Manual labor was replaced with factory labor, factory labor replaced with knowledge work. If knowledge work is replaced with AI, what do we go to then? Not to mention that the efficiency gains of the modern tech industry are not even remotely distributed fairly. The logical extreme conclusion of an AI company would be where the CEO, Founder, 100% owner, and sole employee coordinates some underling AIs to run the entire company for him while he collects the entire profit and shares it with no one, because American government is an oligarchy
by Topfi | 2025-10-19 14:37:15+00:00
> AIME is saturated (with tool use) [...]

But isn't tool use kinda the crux here?

Correct me if I'm mistaken, but wasn't the argument back then on whether LLMs could solve maths problems without e.g. writing python to solve? Cause when "Sparks of AGI" came out in March, prompting gpt-3.5-turbo to code solutions to assist solving maths problems over just solving them directly was already established and seemed like the path forward. Heck, it is still the way to go, despite major advancements.

Given that, was he truly mistaken on his assertions regarding LLMs solving maths? Same for "planning".
by JLO64 | 2025-10-19 14:37:22+00:00
> Personally, I've just stopped buying books from Amazon. I find that Kobo is often cheaper and their DRM is easy to bypass.

Anyone have any advice on how to bypass Kobo DRM? I can only buy ebooks without DRM (typically through ebooks.com) for my kindle running Koreader so this would be amazing.
by creativeCak3 | 2025-10-19 14:37:42+00:00
Can't wait for the Buble to burst so we can get back to solving real problems (like the fact that we have very little competition in the CPU market right now, AMD is getting way too comfortable...). I do think though that when this bubble bursts it will hurt the machine learning field (which does have people doing practically useful stuff like protein folding) and investors might pull all funding because this generative nonsense(which has no real use beyond generating porn) will taint the entire field, even the parts of it that are actually useful.
by stuartjohnson12 | 2025-10-19 14:37:43+00:00
This isn't real! This is a phantom of the attention economy! AI SDR companies are all very similar and the product doesn't really work so there's too much capital in a small market. The winning strategy is to quickly grab as many eyeballs as possible. 11x got dunked because of revenue manipulation in pursuit of more eyeballs, and this is also shenanigans in pursuit of more eyeballs. People are afraid AI will replace all jobs so saying you're replacing all jobs with AI evokes the consensus fear response and makes people emotionally engage with your marketing. The meme exists because people are afraid of the meme.
by nativeit | 2025-10-19 14:38:19+00:00
The Teensy wasn’t engineered, tested, rated, or certified for any sort of continuous duty, let alone within a pressurized O2-enriched environment (assuming it was inside the vessel), especially not within deep sea Helium-enriched environments (that have been shown to break things like MEMS devices), and present unnecessary risks for an entirely inefficient choice (see: comment above, Teensy’s are ~$30-40/ea where small PCBs populated with the same circuit features can be had for under $20).

I’m probably not as qualified as the person you replied to, but that’s my intuition as someone with a passing familiarity with electronics engineering (I have an associates degree in EE).
Show HN: Elliot – my coding agent that helps me code, and sometimes helps itself
by Sai_Praneeth | 2025-10-19 14:39:02+00:00
Built a coding agent that's actually useful for working with existing codebases - the kind where you need to understand structure, not just append code.

Key capabilities:

- Structural code search via ast-grep: Searches by AST patterns, not text. Finds all implementations of an interface, all callers of a function, etc. Treats code as structure.

- Planning before execution: Writes a plan, ticks off tasks, tracks dependencies. Keeps the agent coherent across multi-file changes instead of thrashing.

- Specialized sub-agents: One searches code, one edits, one handles git, one runs tests. Division of labor instead of one confused god-agent.

- Human-in-the-loop that adapts: Confirms before writes, but if denied, tries different approach.

Useful for: surfing large repos, implementing features that touch multiple files, fixing bugs where you need to understand call chains.

I used it to add tools, refactor architecture, improve workflows. If it can navigate its own codebase and improve itself, maybe it can handle yours. Check commits prefixed "made by elliot:" for proof. Python 3.12+, runs locally, built on openai-agents-python.

GitHub: https://github.com/think-a-tron/elliot
by vacuity | 2025-10-19 14:39:11+00:00
Contrasting the sibling reply from umanwizard, I'll say Rust is 75, but 95% of the time, it's 40 or under. There's a pretty obvious cliff, so you can avoid or detect it unless you need to do something advanced. Unlike C++, you don't just "run into" the complexity unknowingly, as if it's hiding around every corner. Normal Rust is very well crafted such that all the gears turn together, but there are many rough edges (async, traits, lifetimes) that still need a lot of refinement. As the sibling reply says, I doubt you'll like Rust. I don't like Rust when it's in 75-complexity mode either, but I think Rust is a great example of an evolving language, and the complexity should decrease gradually. Moreover, Rust has/will inspire other languages that may be more palatable.
by Bender | 2025-10-19 14:39:25+00:00
Adding to this phpBB is about to have a new major release [1] using Symfony, adding webpush notifications, @mentions, new modular storage system among other things. The overall goal is to modernize the forum platform.

[1] - https://blog.phpbb.com/2025/09/27/phpbb-4-0-0-a1-the-first-a...
by thaumasiotes | 2025-10-19 14:39:41+00:00
> Humans evolved in a lower CO2 environment. Our lungs are adapted for optimal gas exchange in that environment. At what point do we start literally suffocating?

Good news on that front. Because you constantly produce waste CO₂, you have detection mechanisms letting you know when the amount in your lungs is excessive.

You picked the only gas where accidental suffocation isn't a possibility as the one you wanted to worry about.
by whstl | 2025-10-19 14:40:51+00:00
They teach this in audio engineering school :)

But the reason this is not widely talked about is two fold:

First, because those measurements are heavily room dependent and they sound worse than treating a room. Because the room affects the sound in ways that EQ can’t really fix anyway.

Second, because the goal of mixing and mastering is making music sound good in a big variety of speakers and environments.
by mmooss | 2025-10-19 14:41:06+00:00
They were awful and achieved almost nothing but ruin, so by definition they were unnecessary.

But are you saying reform and change were unnecessary? The people of China were suffering immensely; the country had been in a state of domestic violent conflict, on and off, since before 1911 (as of 1949). The Communist Party became more corrupt.

Mao's policies and politics made all that much worse, but that doesn't mean nothing needed to be done.
by itsnowandnever | 2025-10-19 14:41:16+00:00
> isn't "we made a machine to do something that people used to do" basically the entire history of of technology?

kinda, I guess. but what has everyone on edge these days is humans always used technology to build things. to build civilization and infrastructure so that life was progressing in some way. at least in the US, people stopped building and advancing civilization decades ago. most sewage and transportation infrastructure is from 70+ years ago. decades ago, telecom infrastructure boomed for a bit then abruptly halted. so the "joke" is that technology these days is in no way "for the benefit of all" like it typically was for all human history (with obvious exceptions)
by imtringued | 2025-10-19 14:41:25+00:00
The economy has the equivalent of a permanent memory leak. The Austrians decided to restrict the amount of memory (money). The economy crashed like a program running out of memory.

Keynes said, let the memory leak and just get more memory. This works until it doesn't, which is still a bigger win than losing multiple times.

Meanwhile Gesell said, if you want finite memory, then you must penalize memory consumption.

The amount of memory that an economy needs depends on the total number of transactions (total throughput) and how fast each processor is (sequential throughout).

Many slow processes means you need more processes in parallel, which means you need more memory.

Curiously, transactions are taxed by the government. This means that taxation minimisation implies delaying and minimizing transactions. There is an inherent bias towards being slow. It seems like tax policy is completely backwards in most countries.
by bob1029 | 2025-10-19 14:41:40+00:00
I recently moved to the more forested biome just north of Houston and the difference in the actual temperature is remarkable. The city core area inside 610 loop is sitting at 77F right now. My back porch is right at 68F. I am not even 60 miles away.

The hottest temperatures get to be about the same, but the trees don't hold heat like the concrete does. It falls off so much faster up here. It seems you can cool these houses with barely half the HVAC capacity that the other ones tend to require. Which is wild because the power grid up here is also much cheaper.
by mft_ | 2025-10-19 14:42:11+00:00
I'm intrigued by this statement: The original code didn't come with an open source software licence, so I am unable to share my changes.

The original blog post[0] doesn't share a link to a full codebase that I can see, and I can't find anything with a quick google. (Although it may have been removed subsequently?)

I assume code snippets in a blog post, and/or a repository without an explicit license, are covered by copyright, hence the caution; can anyone advise when/how it would be reasonable to take someone's concept, rework the code (as appears to have been done here) and then reshare?

[0] https://blog.pixelmelt.dev/kindle-web-drm/
by zozbot234 | 2025-10-19 14:42:29+00:00
> The simplicity and efficiency of Visual Basic UI programming relied on several assumptions that became obsolete in 2000 when LCD and high-DPI displays became widely available. Everything in the VB UI editor was based on a fixed layout. There was a fixed font size, fixed DPI-density display expectation, and fixed button sizes. Every dialog assumed fixed sizes and was non-resizable.

There are visual UI editors that provide for dynamic layouts. (The old Glade editor for GTK+ was one example; modern GTK+4 still does not come with a standard UI editor.) The underlying issue is pointless churn in modern UI frameworks, not the assumption of a fixed-DPI display.
by allturtles | 2025-10-19 14:42:33+00:00
This is a brilliant piece of satire. "A Modest Proposal" for the AI age.

The leader bios are particularly priceless. "While working for 12 years as the Director of HR for a multinational, Faith realized that firing people gave her an almost-spiritual high. Out of the office, Faith coaches a little league softball team and looks after her sick mother - obligations she looks forward to being free of!"
by potato3732842 | 2025-10-19 14:43:04+00:00
They're not competing with each other. They're competing with the warehouses that blanket the industrial parts of LA and areas south of Newark.

If they have low grade tenants off and on for 10yr they'll be in the black. The big money cash out is when some company who's expansion is being strangled somewhere else decides that they're gonna open a new site. And if you look at the macro trends this is slowly what's happening.

It's like the big boy version of how self storage can be a speculative RE investment rather than a income stream producing investment.
by goalieca | 2025-10-19 14:43:42+00:00
> LLMs can't do math. He went on to "argue" that LLMs trick you with poetry that sounds good, but is highly subjective, and when tested on hard verifiable problems like math, they fail.

They really can’t. Token prediction based on context does not reason. You can scramble to submit PRs to ChatGPT to keep up with the “how many Rs in blueberry” kind of problems but it’s clear they can’t even keep up with shitposters on reddit.

And your 2nd and third point about planning and compounding errors remain challenges.. probably unsolvable with LLM approaches.
by appreciatorBus | 2025-10-19 14:43:57+00:00
Demand for floorspace is very large, but it is not infinite.

Allowing more floorspace on a given lot of land in an in a place people want to live, increases land value solely because the status quo mandates floorspace scarcity in those places. In a world where everyone had all the interior floorspace they could ever desire, rezoning a random vacant lot for an infinite height building would have no effect whatsoever because there would be no demand the additional floorspace.

Allowing vast quantities of floorspace on every lot within city limits would surely enrich some homeowner-occupiers who own land, but only those whose land was in locations ppl actually wanted to live. Those in other locations, whose only current draw is “you aren’t allow to live/build in the place You want to be, so come here instead” would lose value.
Show HN: Tiled Words, a daily word puzzle game
by paulhebert | 2025-10-19 14:44:12+00:00
Hey HN! Today I'm launching Tiled Words, my own unique spin on the daily word puzzle genre.

You can play Tiled Words for free on any device here: https://tiledwords.com

Tiled Words merges tile-placing board game mechanics with crosswords. You rotate and rearrange tiles to find clues and rebuild a broken crossword. Every day there will be a new, hand-crafted, themed puzzle for you to solve.

Today I'll be showcasing the game at the Portland Retro Gaming Expo with the Portland Indie Game Squad, so if you're in the neighborhood, come say hi!

The game is web based: the graphics are SVGs, animations are powered by CSS, and Vue/Nuxt are used to power templating, reactivity, and routing. Most of the complex logic lives in TypeScript modules.

It's been a long time in the making. I started the first version in the Summer of 2024. The game was originally inspired by board games like Patchwork. I wanted to make a digital game where you placed tiles on a board. I explored layering a few different game mechanics on top of that but none of my prototypes felt fun to play, so I shelved the idea around September 2024. (At its most complex, I was developing a deck-building game about planting flowers to heal a broken land.)

This July while on a hike with my wife I had an idea: what if I put letters on the tiles and let you rotate and place them to build words. I whipped up a prototype and actually enjoyed playing it. Even better, my friends thought it was fun too. I was convinced to keep going when I shared it online and got a lot of positive feedback from strangers. I've gotten feedback from dozens of players via a feedback form, and have over 250 signed up to be notified on launch.

It's been a lot of fun to design and develop, and I enjoy working with my wife to build new puzzles. (She's better at thinking of the clues than I am!)

This game has been a labor of love. Please share it with your friends and check back tomorrow for a new puzzle!
by crazygringo | 2025-10-19 14:45:01+00:00
In my experience doing literature super-deep-dives, it hallucinates sources about 50% of the time. (For higher-level literature surveys, it's maybe 5%.)

Of the other 50% that are real, it's often ~evenly split into sources I'm familiar with and sources I'm not.

So it's hugely useful in surfacing papers that I may very well never have found otherwise using e.g. Google Scholar. It's particularly useful in finding relevant work in parallel subfields -- e.g. if you work in physics but it turns out their are math results, or you work in political science and it turns out there are relevant findings from anthropology. And also just obscure stuff -- a random thesis that never got published or cited but the PDF is online and turns out to be relevant.

It doesn't matter if 75% of the results are not useful to me or hallucinated. Those only waste me minutes. The other 25% more than make up for it -- they're things I simply might never find otherwise.
by sandworm101 | 2025-10-19 14:48:11+00:00
Nothing in land is ever immediate. Is it worth the legal efforts to force throufh a forfeiture? Does the city even want the land? Perhaps the land is tied up in a disputed estate. Such things can take a decade to resolve. Perhaps some holding company is using the land as an investment vehicle and is paying the taxes, if any are due. Owners have the right to let land sit.
by hylaride | 2025-10-19 14:48:16+00:00
Not all the tech is the same, but I wasn't specifically referring to the batteries (I did say the Chinese have innovated themselves).

But it's an open secret that there was a lot of "turnover" at the Chinese Tesla plants, both shortly after building and operating them, as the Chinese took a lot of the manufacturing processes, tech, etc. And yeah, it also wasn't just Tesla - but it did allow the Chinese to catch up (and eventually surpass) them. The fact that there was so much direct and indirect supports from the government was a huge benefit. This has happened multiple times (French fell for it with high speed rail, Germans and to a lesser extent Americans with cars, Apple/Koreans with mobile phones, everybody with microelectronics, etc).
by Fade_Dance | 2025-10-19 14:48:47+00:00
Intuitively, kids are kids, and kids like to play.

That said, some kids across all income bases will take the opportunities that they didn't have before.

Traditional education isn't the main impact I was getting at though. It may be harder to measure and quantify.

For example, people that may have had little exposure to their political system now have a more access to exploring it, and organizing political action (see recent Gen Z protests worldwide).

Or perhaps an older teenager moves in with a friend across the country instead of only looking in their village area (the internet enabled me to do that anecdotally, years ago).

Coding and tech literacy will be much higher. Kids generally don't enjoy traditional education and won't sit down in front of math lectures of their own volition (some will!), but a more sizable cohort of kids will get into coding, make a website, moderate a forum/discord and build some scripts, build some game mods, etc.

The most impactful (and perhaps nebulous) change is that there is much more of a global community than there was. It's a different world for the new generations compared to how it was for most of human history. Instead of "American culture gets mass exported" it's much more of a global online community that nearly every kid gets hooked into to some degree. Obviously the Chinese firewalls of the world exist, online circles are tribal just like the real world, and top down algo feeds are clinging onto the top-down cultural export as hard as they can, but it's still a huge shift.

If the focus is on the developing world, some of the comments made in passing like video chat are huge. Going to the city to make money used to mean almost total disconnection from the old community. One of the problems with that is that these places can be "left behind", economically, and with demographic shifts worldwide, this is brewing into a bigger problem as many of these places have and have few young people. That's just one example. (Took that from China, which has a big initiative to improve that longstanding issue that has been building since the initial urbanization wave/birthrate collapse, and it involves phones and technology on many fronts.)
by JKCalhoun | 2025-10-19 14:49:27+00:00
You sound like a spokesperson for MIT's Media Lab and Nicholas Negroponte. I was skeptical of their message then, even more skeptical now. You acknowledge the downsides but I think we disagree wildly as to whether these outweigh the upside.

I'd rather see a One Book Per Child global initiative. (Maybe Dolly Parton is on to something—Nicholas Negroponte should take note.)
by NitpickLawyer | 2025-10-19 14:49:33+00:00
AIME was saturated with tool use (i.e. 99%) for SotA models, but pure NL, no tool still perform "unreasonably well" on the task. Not 100% but still within 90%. And with lots of compute it can reach 99% as well, apparently [1] (@512 rollouts, but still)

[1] - https://arxiv.org/pdf/2508.15260
by HarHarVeryFunny | 2025-10-19 14:49:41+00:00
I'm pretty sure that if they didn't deliberately chose to train on sex chat/stories, etc, then the LLM wouldn't be any good at it. The model isn't getting this capability by training on WikiPedia or Reddit.

So, it's not a matter of them not being able to do a good job of preventing the model from doing it, therefore giving up and instead encouraging it to do it (which anyways makes no sense), but rather them having chosen to train the model to do this. OpenAI is targetting porn as one of their profit centers.
by NitpickLawyer | 2025-10-19 14:50:28+00:00
> They really can’t. Token prediction based on context does not reason.

Debating about "reasoning" or not is not fruitful, IMO. It's an endless debate that can go anywhere and nowhere in particular. I try to look at results:

https://arxiv.org/pdf/2508.15260

Abstract:

> Large Language Models (LLMs) have shown great potential in reasoning tasks through test-time scaling methods like self-consistency with majority voting. However, this approach often leads to diminishing returns in accuracy and high computational overhead. To address these challenges, we introduce Deep Think with Confidence (DeepConf), a simple yet powerful method that enhances both reasoning efficiency and performance at test time. DeepConf leverages modelinternal confidence signals to dynamically filter out low-quality reasoning traces during or after generation. It requires no additional model training or hyperparameter tuning and can be seamlessly integrated into existing serving frameworks. We evaluate DeepConf across a variety of reasoning tasks and the latest open-source models, including Qwen 3 and GPT-OSS series. Notably, on challenging benchmarks such as AIME 2025, DeepConf@512 achieves up to 99.9% accuracy and reduces generated tokens by up to 84.7% compared to full parallel thinking.