MurphyA/hacker-news huggingface dataset:
by stego-tech | 2025-12-22 02:36:16+00:00
The post is mainly just a CTA against further internet centralization and government control of core infrastructure, which is fine. We need more of these, and we need more examples of their harms for folks to draw on. HN often gets distilled down to a singular cause - EU's Chat Control, Elon's shutdown of Starlink over Ukraine, a regional outage of a public cloud provider - but generalized topics like these aren't really discussed all too often I find, or are often flagged for a variety of reasons and shutdown.

As technologists of multiple stripes and disciplines - programmers, developers, engineers, architects, designers, product managers, etcetera - we need to collaborate more on the direction of our industry as a whole, rather than just specific niches we find appealing. From my specific perspective in IT, the increasing centralization across every vendor category (three major x86 server manufacturers, two CPU vendors, two GPU makers, three global-scale public clouds, ISP mono- and duopolies, a handful of commercial operating systems, a near-monopoly EUVL supplier - the list goes on) is a dire threat to not just the open internet, but open technology in general.

We need to be better advocates for and champions of the technological future we envision, rather than just blindly celebrate startups and tech fads all the time. Mr. Schneier is merely the latest and largest canary in the proverbial coal mine.
by CodingJeebus | 2025-12-22 02:36:45+00:00
When I worked in advertising, I slowly realized that their ultimate final form was to create ads that didn’t look like or have to be disclosed as ads.

I’m starting to wonder if the same principle applies to AI: that the ultimate form of this technology, applied broadly, is to perpetuate fraud that is too costly or minor to judiciously police.

> whether it is written with AI seems an unimportant detail compared to being a deliberate attempt to use the author's name and likeness and book title to sell a different product.

I think it’s an important detail insofar as AI makes it very easy to do this at scale with minimal effort. Surely there would be less slop in the Amazon store if LLMs didn’t exist.
by dgoldstein0 | 2025-12-22 02:37:37+00:00
yup. Fixed list of supported cpus. Well, I suppose it grows to include newer CPUs.

That said the rufus workaround can work for these - I'm writing this from a machine that's not a supported cpu that I just upgraded to Win 11 with rufus. Runs just fine. Fun fact about my cpu: no cpu with the same socket is supported, so to be officially supported I'd have to also upgrade the motherboard.
by SR2Z | 2025-12-22 02:37:41+00:00
> We’re lucky it’s not a disaster.

I'm sure that if this was something predictable like a cyclone or wildfire, Waymo would still have 100% of their nightly traffic on the road, right? And SFFD would not be able to do what they normally do when they can't get support, which is hop into the car and use the controls to manually move it?

Or... maybe Waymo HAS considered what their cars should do in abnormal circumstances and this kind of outcome was considered acceptable for the number of cars and the nature of the "disaster"?
by nettalk83 | 2025-12-22 02:38:42+00:00
I'm sharing an archived structural reference related to earlier OntoMesh / PSRT work I posted here.

This PDF is not a new theory or system, but a fixed structural map documenting the completed configuration of the framework — essentially a snapshot of what remains after generative recursion and extension are intentionally disabled.

It consolidates PSRT v2.1, UPO, and related references into a single bounded, non-executable artifact. The focus is on where continuation, optimization, or recursion stop being applicable, rather than on proposing further mechanisms.

Canonical archived version (Zenodo): https://doi.org/10.5281/zenodo.18012519

Posting only as a reference in case the structural framing is useful to people working on systems, semantics, or AI-related governance. No feedback expected.
by SR2Z | 2025-12-22 02:39:15+00:00
Seeing as how literally nobody died, I'm not sure if I agree with your sentiment.

I was curious if Waymo has even been involved with a crash that killed someone, so I looked it up. The answer is yes - there was a Tesla going 98mph in SoMa whose driver died after hitting a Waymo. Clearly we should shut down Waymo until they can handle that situation!
by hakunin | 2025-12-22 02:40:47+00:00
Every once in a while I get an opportunity to share my 4 reasons to leave a code comment:

1. An odd business requirement (share the origin story)

2. It took research (summarize with links)

3. Multiple options were considered (justify decision)

4. Question in a code review (answer in a comment)

Important caveat for number 4: if your code can be restructured in a way that answers the question without a comment, do that instead.

This originally comes from an article[1] I wrote in 2021 titled "Writing Maintainable Code is a Communication Skill".

[1]: https://max.engineer/maintainable-code
by Aurornis | 2025-12-22 02:41:18+00:00
The limits for the $20/month plan can be reached in 10-20 minutes when having it explore large codebases with directed. It’s also easy to blow right through the quota if you’re not managing content well (waiting until it fills up and then auto-compacting, or even using /compact frequently instead of /clear or the equivalent in different tools).

For most of my work I only need the LLM to perform a structured search of the codebase or to refactor something faster than I can type, so the $20/month plan is fine for me.

But for someone trying to get the LLM to write code for them, I could see the $20/month plans being exhausted very quickly. My experience with trying “vibecoding” style app development, even with highly detailed design documents and even providing test case expected output, has felt like lighting tokens on fire at a phenomenal rate. If I don’t interrupt every couple of commands and point out some mistake or wrong direction it can spin seemingly for hours trying to deal with one little problem after another. This is less obvious when doing something basic like a simple React app, but becomes extremely obvious once you deviate from material that’s represented a lot in training materials.
by roncesvalles | 2025-12-22 02:42:06+00:00
Mostly FUD from grifters and accelerationists. Coding AI isn't useful for producing things that you couldn't have produced yourself, which means you're still important. Fundamentally it's still "just" an autocomplete, whether it's snippets at your cursor or whole files inside your directory. I actually quite enjoy LLMs as a programmer. Contrast this with compilers, which produce machine code that you couldn't have possibly written yourself.
by beloch | 2025-12-22 02:42:53+00:00
"And beyond my selfish curiosity there’s also the Fedorovist ancestor simulation angle: if you die and are not cryopreserved, how else are you going to make it to the other side of the intelligence explosion? Every tweet, blog post, Git commit, journal entry, keystroke, mouse click, every one of these things is a tomographic cut of the mind that created it."

---------

Historians pour over this sort of stuff. If a historically interesting figure wrote a letter to their neighbour to complain about a noisy dog, it's been carefully preserved and obsessively analyzed. Historians want to get inside their subjects' heads and figure out what they were thinking when they did that big, important thing, and every scrap of remaining written material helps.

We live in a period that is going to be real tough on historians studying it. Over the last few decades, physical correspondence (i.e. letters, etc.) has mostly died out. A lot of people still journal, but on their computer. Will that folder of old journal entries be found by whoever inherits your house full of junk or will it be tossed? A dead-tree diary is pretty easy to recognize for what it is. A computer's contents are comparatively easy to overlook.

Most people who have lived over the last few decades have had multiple email addresses that, at first, they eagerly used for personal interactions and then, over time, more and more only for professional/commercial correspondence. At the same time, people started writing for fun and passion under anonymous pseudonyms in a variety of online forums. Some remain online and still operating. Some have been curated and remain online. Some are archived. Some are just gone. Then came social media and texting. A huge proportion of people's most intimate interactions are in texts now, but for how much longer? We seem to be on a novelty treadmill when it comes to personal interaction mediums. Yesterday's source of joy is today's chore.

Imagine that you do something really significant in a decade or so, and some historian a hundred years from now is trying to figure out why you did it. Getting access to as much of your written output as remains and correctly associating the anonymous stuff with you is going to be a tough problem. How much of what is online today will remains? How much of it will be possible to associate with you, and not a pseudonym? Even if they speak your native tongue, they'll have to learn how to interpret your slang and texting shorthand. This sounds almost impossible today, but what kind of tools might they have in a century?

My suspicion is that history is going to remain remarkably unchanged in a very specific way: For some historical figures we'll have mountains of material. Others, despite their importance, will be complete enigmas.
by TZubiri | 2025-12-22 02:42:57+00:00
When I was a young man, I worked at a restaurant, and the lights went off.

I being the hero I was, wanted to keep the show running, bought some candles, ovens worked fine, water worked fine (for now). I wanted to charge cash. But eventually big boss came and shut us down since light wasn't coming.

And he was right, cooking and working under those conditions is dangerous for the staff, but also for the clients, without light you cannot see the food, cannot inspect its state, whether stale, with visible fungi, etc...

Yes, the perfect worker would still operate under those conditions, but we are not perfect, and admitting that we only can provide 2 or 3 nines, and recognizing where we are in that 0.01% moment, is what keeps us from actually failing so catastrophically that we undo all of the progress and benefits that the last bit of availability would have allowed us.
by CodingJeebus | 2025-12-22 02:44:34+00:00
It’s hard to be a better advocate without diving into the politics of why we’re in the situation we are, which also doesn’t address the amount of political power you and I have relative to the interests that want said technological consolidation to exist.

And given that the tech community trends towards political philosophies like libertarianism, which is inherently anti-organization and anti-collectivist, I’m not sure how you begin to scratch the surface of what a real solution looks like.
by mrandish | 2025-12-22 02:44:37+00:00
> But it tends to happen for a short amount of time, mostly for events

I expect you're correct. While it's fantastic tech, it's also very expensive to keep highly-precise, carefully calibrated micro-machinery like this aligned and operating 12+ hours a day outdoors where temps vary from 50-110 degrees. Disney thinks in total cost of operation per hour and per customer-served.

While there's probably little that's more magical for a kid than coming across an expressively alive-seeming automaton operating in a free-form, uncontrolled environment, the cost is really high per audience member. Once there are 25 people crowded around, no new kid can see what all the commotion is about. That's why these kind of high-operating cost things tend to be found in stage and ride contexts, where the audience-served per peak hour can be in the hundreds or thousands. For outdoor free-form environments, the reality is it's still more economically viable to put humans in costumes. Especially when every high-end animatronic needs to always be accompanied by several human minders anyway.
by adamddev1 | 2025-12-22 02:46:22+00:00
> Chomsky has focused on the generative side of language

The answers to "why" that Chomsky pushes so hard for are very valuable to adult language learners. There are basic syntactic rules to generating broadly correct language. Having these rules discovered and explained in the simplest possible form is irreplaceable by statistical models. Neural networks, much like native speakers can say "well this just sounds right," but adult learners need a mathematical theory of how and why they can generate sentences. Yes, this changes with time and circumstances, but the simple rules and theories are there if we put the effort in to look for them.

There are many languages with a very small corpus of training data. The LLMs fail miserably at communicating with them or explaining things about their grammar, but if we look hard for the underlying theories Chomsky was looking for, we can make huge leaps and bounds in understanding how to use them.
by superhuang | 2025-12-22 02:47:14+00:00
Hi HN,

I'm the creator of Sentence Starters.

I built this tool because I often find myself staring at a blinking cursor, knowing what I want to say but stuck on how to start the sentence elegantly. I realized that having a categorized list of "sentence starters" (transition words, opening phrases, etc.) could effectively unblock my writing flow.

It's a simple tool aimed at students, writers, and non-native speakers who want to improve their sentence variety.

I'd love to hear your feedback or suggestions on how to make it more useful!
by Joel_Mckay | 2025-12-22 02:47:19+00:00
Be honest, most Software people find utility in artifacts which are a mysterious black box with an emulated abstraction.

During a career role most have no idea "why" chips were designed and built a certain way, nor require this information to work within abstract domains.

In many ways, vibe-coders are the absurd optimization of a naive trajectory toward zero workmanship standards. =3

https://en.wikipedia.org/wiki/Five_stages_of_grief
by tripletao | 2025-12-22 02:47:20+00:00
Unless and until neurologists find evidence of a universal grammar unit (or a biological Transformer, or whatever else) in the human connectome, I don't see how any of these models can be argued to be "causal" in the sense that they map closely to what's physically happening in the brain. That question seems so far beyond current human knowledge that any attempt at it now has about as much value as the ancient Greek philosophers' ideas on the subatomic structure of matter.

So in the meantime, Norvig et al. have built statistical models that can do stuff like predicting whether a given sequence of words is a valid English sentence. I can invent hundreds of novel sentences and run their model, checking each time whether their prediction agrees with my human judgement. If it doesn't, then their prediction has been falsified; but these models turned out to be quite accurate. That seems to me like clear evidence of some kind of progress.

You seem unimpressed with that work. So what do you think is better, and what falsifiable predictions has it made? If it doesn't make falsifiable predictions, then what makes you think it has value?

I feel like there's a significant contingent of quasi-scientists that have somehow managed to excuse their work from any objective metric by which to evaluate it. I believe that both Chomsky and Judea Pearl are among them. I don't think every human endeavor needs to make falsifiable predictions; but without that feedback, it's much easier to become untethered from any useful concept of reality.
by dijit | 2025-12-22 02:47:39+00:00
I live in Sweden, and I can confidently say... Once.

As in, literally as long as I've lived here (11 years now) I mailed one thing by post and it was, somewhat ironically, a self-assessment form for an ADHD diagnosis from a company called Modigo.

I have received a lot of mail though, from the government also, so I'm not sure how that is gonna fly.
by neilv | 2025-12-22 02:47:39+00:00
Something a bit like that is part of how I got the Lisp Hacker merit badge.

I wanted a Lisp to be my new platform language for rapid systems research. And I had to spend most of each day on my laptop, from cafes and parks around town, with very little Internet access.

So I got all the docs locally, and I kludged up Emacs as a power-efficient "IDE" (including avoiding having to run a bloated Web browser), to help keep the hard drive spun down and CPU slowed.

Then I simply did a lot of programming, without distractions like open plan offices and pointless meetings. Even though I might be sitting against a tree in a busy park, and then have to move to a noisy cafe to recharge battery. Still so much less distracting and less stressful than an open plan office.
by carlosjobim | 2025-12-22 02:47:46+00:00
Millions of barcodes are scanned every second, and has been for the past few decades. So it seems very strange that there aren't any solution readily able for your app, which isn't AI.

I have to scan bar codes every once in a while with an app on my iPhone, which definitely doesn't use AI. It will instantly recognize a bar code before I've had a chance to line up the camera properly, and the error rate is zero.
by baubino | 2025-12-22 02:47:59+00:00
This article is asking interesting questions but the proposed answers don’t seem to be based on either research or personal knowledge of the media that are being compared. I remember vividly the conversations about TV consumption that was happening in the 80s and it really was an entirely different conversation than the one now about social media. While many parents may have worried about their kids watching too much TV, the hysteria about MTV really only came from the far right fringe. MTV was only on cable and most people did not have cable. It just wasn’t seen as this grave threat because most kids just didn’t have access to it. Even when Tipper Gore managed to work up a frenzy over NWA, rap was only just starting to get mainstream and her explicit warning labels probably did more to promote their record than anything. Video games in the 80s were expensive and had to be purchased. Media consumption had barriers to access. Anyone who wanted to control their media could. TV time could be easily regulated, especially because many (most?) households only had one television.

The widespread and constant accessibility of social media today isn’t merely a sidenote to a larger argument; it is the main issue, which makes it a fundamentally different concern than the ones expressed about TV and MTV in the 80s. Social media is ubiquitous and it is accessible outside of the home, which makes it very difficult for parents to regulate their kids’ use of it. Even if your own kid doesn’t have a phone, chances are their friends do.

The social media ban raises very concerning questions about government intervention, no doubt. But I do think the problem social media presents is a novel one; it’s not a rehashing of the 80s conversation.
by kumarvvr | 2025-12-22 02:48:20+00:00
https://iopscience.iop.org/article/10.1149/1945-7111/abae37/...

This is the paper that claims 10,000 cycles under optimal conditions.

But if you read it, they measure Equivalent Full Cycles, and it seems that implies 10000 cycles at partial discharge, not full discharge.

The paper calculates everything at nominal discharge upto 80%. Meaning, the installed capacity has to be 25% more than paper value, leading to increased costs.

Add to that, batteries are complex to manufacture, degrade, lose capacity, etc. You need high level of quality control to actually ensure you are getting good batteries. This means, the cost of QA and expertise increases. They are costly to replace, even at an avg of 3000 cycles (roughly 10 years). Bad cells in one batch accelerate degradation and are difficult to trace out. Batteries operate best at low temperatures, so the numbers may vary based on installed location and climatic conditions.

A turbine and co2 compressor system is dead simple to manufacture, control and maintain. A simple PLC system and some automation can make them run quite well. Manufacturing complexity is low, as there are tried and tested tech. Basically piping, valves, turbines and generators. These things can be reliably run for 30 to 40 years. Meaning, the economics and cost efficiency is wildly different.

With such simplicity, they can be deployed across the world, especially in places like Africa, middle east, etc.

On the whole, batteries are not explicitly superior as such. There are pros and cons on both sides.
Show HN: Eze – AI startup roadmap co‑pilot (Day 2 update)
by foolmarshal | 2025-12-22 02:49:25+00:00
Hi HN community,

Quick progress update on eze, the AI‑powered co‑pilot I’m building to turn raw startup ideas into visual execution roadmaps.

Over the last day:

- 4 people have joined the waitlist for early access and early‑bird benefits. It’s a tiny number, but it’s enough validation to keep exploring the idea instead of killing it silently.

- The basic app is working end‑to‑end with a general‑purpose LLM. You can describe your idea, and it generates a multi‑stage roadmap (validation → MVP → GTM → launch → post‑launch) as an interactive graph with milestones.

- I’ve started working on a specialized solution using domain‑specific data: curated founder content, startup frameworks, and my own structured prompts, so the guidance becomes more concrete and less “generic blog post in disguise.”

The core problem I’m still focused on: helping first‑time/solo founders move from “I have an idea and some skills” to “I have a realistic, ordered plan I can execute over the next few weeks/months.”

If you’re curious or want to see where this goes:

Waitlist + more info: https://eze.lovable.app/

I’d love feedback on what a tool like this would need to do for you to trust it with your own project planning.

Happy to answer questions and hear brutally honest thoughts on direction, positioning, or technical choices.

Day 1 - https://news.ycombinator.com/item?id=46341465
by omosubi | 2025-12-22 02:49:39+00:00
They are moving everything to azure to be able to scale so I'm guessing they are going through growing pains.

But if these issues continue for more than a couple months I could see organizations looking more and more into other options, but let's be honest, everyone knows and uses GitHub so they'd really have to mess things up for more than a fraction of their user base to move away

https://thenewstack.io/github-will-prioritize-migrating-to-a...
by left-struck | 2025-12-22 02:50:07+00:00
I think it really depends on what kind of anime you’re talking about. Like if you’re watching one piece fan art and the British police raided you, absolutely ridiculous. If you’re looking at naked artistic depictions of minors then it’s clearly not just “anime artwork”. BTW I’m not saying that someone who looks at that should be treated the same way as someone who harms a child but I’m just saying the cultural acceptance in the uk between those two extremes is vast.
by bsder | 2025-12-22 02:50:50+00:00
> Did they? They chose their safety. I suspect the net effect of their behavior made the safety of everyone worse.

There is no viable choice other than prioritizing the safety of your rider. Anything less would be grounds for both lawsuits and reputational death.

The fact that everybody else chose throughput over safety is not the fault of Waymo.

Will you also complain when enough Waymo cars start running on the freeways that a couple of them in a row can effectively enforce following distances and speed limits, for example?