MurphyA/hacker-news huggingface dataset:
by v3xro | 2026-02-25 09:34:49+00:00
There's nothing to recover from, what are you even talking about? I'm not a token user (and I can't make predictions about the future and whether it will force me to use token but still). That the industry is collectively having a delusion about what constitutes good software (in all senses of the word - functionality and consequences for society) is clear to see, something I too fear we might never recover from, but I stand quite clearly on the side of people not of corporations hoping to extract more more more.
by canto | 2026-02-25 09:35:57+00:00
This is merely scratching the surface.

LLMs (Claude Code in particular) will explicitly create token intensive steps, plans and responses - "just to be sure" - "need to check" - "verify no leftovers", will do git diff even tho not asked for, create python scripts for simple tasks, etc.
Absolutely no cache (except the memory which is meh) nor indexing whatsoever.

Pro plan for 20 bucks per month is essentially worthless and, because of this and we are entering new era - the era of $100+ monthly single subscription being something normal and natural.
by simianwords | 2026-02-25 09:36:33+00:00
I don't think Ed doesn't comment about the actual tech. Here are some things he has said before and please tell me if these still hold in the spirit?

> You cannot "fix" hallucinations (the times when a model authoritatively tells you something that isn't true, or creates a picture of something that isn't right), because these models are predicting things based off of tags in a dataset, which it might be able to do well but can never do so flawlessly or reliably.

ChatGPT is fairly reliable.

>Deep Research has the same problem as every other generative AI product. These models don't know anything, and thus everything they do — even "reading" and "browsing" the web — is limited by their training data and probabilistic models that can say "this is an article about a subject" and posit their relevance, but not truly understand their contents. Deep Research repeatedly citing SEO-bait as a primary source proves that these models, even when grinding their gears as hard as humanely possible, are exceedingly mediocre, deeply untrustworthy, and ultimately useless.

This is untrue in spirit.

> You can fight with me on semantics, on claiming valuations are high and how many users ChatGPT has, but look at the products and tell me any of this is really the future.

Imagine if they’d done something else.

Imagine if they’d done anything else.

Imagine if they’d have decided to unite around something other than the idea that they needed to continue growing.

Imagine, because right now that’s the closest you’re going to fucking get.

This is what he said in 2024. He really thought ChatGPT is not in the future.

There are so many examples and its clear that he's not good faith and has consistently gotten the spirit wrong.
by Vinnl | 2026-02-25 09:37:01+00:00
That's cool and all, but them investing $1,100 and two weeks of one engineer's time doesn't yet give me confidence that they're in this for the long haul. It'll be interesting to see how long the long tail of remaining issues will be (it doesn't sound like in another two weeks, they'll have pre-rendering and cache components working), but I'm definitely not adopting this any time soon.

Also looking forward to Vercel's version of https://matrix.org/blog/2026/01/28/matrix-on-cloudflare-work....
by nxobject | 2026-02-25 09:37:22+00:00
Yup - I was reminded that it was the two-year anniversary of this. AI content creation, for better or for worse, has improved leaps and bounds since then. Nano Banana would have nailed the art, your LLM of choice would have nailed down the script, and if you're as feckless as the original proprietors were I'm sure it would even create an ops plan for you.
by dash2 | 2026-02-25 09:37:48+00:00
> it's actually within the realm of human possibility for the government and the individual to be aligned and want the same thing.

Actually, this is very hard because different individuals want different things. Normally you need a mechanism like the market or democracy to aggregate individual preferences. Expecting a dictatorship to do this well seems optimistic, and the full history of communist China doesn’t support the idea.
by GaryBluto | 2026-02-25 09:38:05+00:00
I thought there would be one or two results, perhaps a result of poor reoccurring phrasing. Nope.

>i'm going to change your diaper and burp you

>Carlito is a very good boy Go piss in your diaper you big baby

>He doesn't care. He is a big baby who filled up his diaper with pee pee and poo poo

>you are a big baby and i am going to change your diaper and burp you <

>To be clear I call executives of multi trillion dollar companies scumbags and if you can't deal with that I'm not sure what to do. Burp you? Change your diaper?

>I am going to change your diaper and burp you

>Yeah man it's real authoritarian to say your second name is doodoo. Go change your diaper you big baby

>Yeah because you're a big baby with a big full diaper

>Hello sir this is your uber outside. I have your order from the diaper store
by moffkalast | 2026-02-25 09:39:08+00:00
Oh I disagree completely, births are a very life and death situation for both involved if any compilations happen to set in. It's extremely worth the benefit to have some doctors around.

> people saving their time, and thus freeing it for more worthwhile endeavors

Do we? Use it for more worthwhile endeavours? I doubt scrolling an online feed of endless bullshit would qualify as that, and most people seem to spend their left over time doing that instead. We're dopamine rush optimizers, not some kind of paragon who spends their time working for the good of society.

Now I'm not saying it makes any sense for us to go back to washing things by hand, but I am saying that automating chores and saving time is like heroin to us and that we'll pay every cent we have for it, as OP's original point was.

> People own cars to drive more than two blocks

Yeah but once we have the ability to drive anywhere it's easy to use it for all kinds of things that we really don't need it for, cause it's just so convenient, fuel prices be damned :)
by DoctorOetker | 2026-02-25 09:39:14+00:00
> Mercury 2 doesn't decode sequentially. It generates responses through parallel refinement, producing multiple tokens simultaneously and converging over a small number of steps. Less typewriter, more editor revising a full draft at once.

There has been quite some progress unifying DDPM & SGM as SDE

> DDPM and Score-Based Models: The objective function of DDPMs (maximizing the ELBO) is equivalent to the score matching objectives used to train SGMs.

> SDE-based Formulation: Both DDPMs and SGMs can be unified under a single SDE framework, where the forward diffusion is an Ito SDE and the reverse process uses score functions to recover data.

> Flow Matching (Continuous-Time): Flow matching is equivalent to diffusion models when the source distribution corresponds to a Gaussian. Flow matching offers "straight" trajectories compared to the often curved paths of diffusion, but they share similar training objectives and weightings.

Is there a similar connection between modern transformers and diffusion?

Suppose we look at each layer or residual connection between layers, the context window of tokens (typically a power of 2), what is incrementally added to the embedding vectors is a function of the previous layer outputs, and if we have L layers, what is then the connection between those L "steps" of a transformer and similarly performing L denoising refinements of a diffusion model?

Does this allow fitting a diffusion model to a transformer and vice versa?
by outime | 2026-02-25 09:39:23+00:00
>LLMs (Claude Code in particular) will explicitly create token intensive steps, plans and responses - "just to be sure" - "need to check" - "verify no leftovers", will do git diff even tho not asked for, create python scripts for simple tasks, etc. Absolutely no cache (except the memory which is meh) nor indexing whatsoever.

Most of these things can be avoided with a customized CLAUDE.md.
by wwwlsn | 2026-02-25 09:39:43+00:00
Not productive per say, but interesting. I gave it access to my journal that I've kept for the last 5 years. I asked it for recurring themes, highlights, lowlights, where I should focus my efforts. I also asked it provide the top 5 most philosophical entries. I then used all of this context to help me craft the SOUL.md which I had been struggling with since install.

Other little things I've done are: Asking for AirBnB recommendations on places I'd like to visit. Giving it access to Mealie[0] to suggest recipes and build shopping lists. Let me know if the weather will permit me to run with my son after work.

Plans: Take chess games from chess.com to lichess, get an analysis and provide feedback. Give access to Monica[1] to make management of that a bit easier. Coding agent so I can cosplay as a Product Owner. Give it some money and get it to buy gifts (soulless I know, but if it can read from Monica it's kind of my idea).

[0]: https://mealie.io/
[1]: https://www.monicahq.com/
by thrdbndndn | 2026-02-25 09:39:54+00:00
Something related to this article, but not related to AI:

As someone who loves coding pet projects but is not a software engineer by profession, I find the paradigm of maintaining all these config files and environment variables exhausting, and there seem to be more and more of them for any non-trivial projects.

Not only do I find it hard to remember which is which or to locate any specific setting, their mechanisms often feel mysterious too: I often have to manually test them to see if they actually work or how exactly. This is not the case for actual code, where I can understand the logic just by reading it, since it has a clearer flow.

And I just can’t make myself blindly copy other people's config/env files without knowing what each switch is doing. This makes building projects, and especially copying or imitating other people's projects, a frustrating experience.

How do you deal with this better, my fellow professionals?
by Cyprus-consult | 2026-02-25 09:39:58+00:00
To follow up on the math for anyone finding this later: the structural leverage of this setup really only kicks in above €120k ARR. Below that, the local accounting and compliance overhead will eat the margin you save on taxes.

For founders actually modeling this out, I've made our internal frameworks for the 60-day residency compliance and transfer pricing available here: https://cyprus-consult.com.

Happy to answer technical questions if anyone is currently running the numbers on a migration.
by pu_pe | 2026-02-25 09:40:35+00:00
When a government funds an AI model, the issue of its ideological control and manipulation is different than a private AI model, for several reasons:

- It uses tax money from everyone to reinforce views held by a portion of the population

- Governments have an inherent conflict of interest in representing truth (see examples in TFA about Modi in India)

- That AI model might in the future be the "official" source of truth in the country, not just another commercial alternative that has to compete in the market
by sfn42 | 2026-02-25 09:40:35+00:00
Staggeringly affordable? Last time I checked ebooks were roughly the same price as physical books. That's ridiculous. If they were like 20% of the price I'd buy them.

I don't care man. It doesn't matter to the world whether I spend money on books or not. It only matters to me. Or I guess it's more correct to say it matters much more to me than to the rest of the world.

So yeah, I'm not worried about it. I don't tip either, by the way, unless I see a very good reason to. Given the choice, I prefer to keep my money rather than give it away. Couldn't care less what you or anyone else thinks about it.
by close04 | 2026-02-25 09:41:36+00:00
> but I would argue that my background made me uniquely situated to understand and care about these problems deeply enough to spend years of my life building a company in response.

Maybe but this line of argumentation also opens the door to more criticism. Anyone looking at Palantir from the outside only knows their reputation and involvement in unsavory projects before taking a job. You chose to take the job with that knowledge covering most of your field of view. You stayed to work for that company contributing to that kind of work. That's a signal that's brighter than the valuable experience you gathered there.

The premise of your company pivots on trust, not technology, the same tech is known and available to everyone else too. And it's trust in you that you will do what you say, not that you can do what you say. The latter is a given, you clearly have the knowhow. The former is putting any promise in doubt.

> Cape routes your traffic through our US-based mobile core.

This sounds like an anti-feature when it comes to privacy or the paranoid.

> I say "Cape is not a honeypot" a lot just so I don't appear to be mincing words.

I appreciate you saying it but Crypto AG probably also said that a lot (figuratively).

> Cape does not keep this data.

Unfortunately you are limited in what you can do here. Having or processing this data for any amount of time, even without keeping it, puts you in the position to be compelled to provide it.
by drcongo | 2026-02-25 09:41:58+00:00
It's possible to make them autofill, yes, but it's the dialog that asks you if you want to update the password stored for example.com after you autofill, that's the gotcha. That one will set the password for every *.example.com password you have stored, to the one you just used.

edit: Ooops, just realised you were responding about 1Password, sorry.
by anshumankmr | 2026-02-25 09:42:13+00:00
It is capable of that seahorse faux pas.
'''Is there a seahorse emoji?

Mercury 2

Thought for a minute

Well?

Mercury 2
Today at 3:06 PM

Yes – Unicode includes a seahorse emoji. It is U+1F9A0 and renders as:

(seahorse)

(If your device or browser doesn’t show the graphic, you may see a placeholder box.)

Ask

Explain

'''
by scary-size | 2026-02-25 09:42:24+00:00
Real nice! Shutting down networking between refreshes definitely helps with the battery life. I also prevent mine [1] from updating between 10PM and 6AM. Nobody is looking at it anyway. If you search around on Github for Kindle dashboards, there's a lot of scripts out there with a bunch of battery life improvements (shutting down daemons, wifi etc.).

I built GTFS based public transit display on top of a Raspberry Pi Zero and a 2" e-ink display ~10 years ago [2].

[1] https://franz.hamburg/writing/kindling-e-ink-dashboard.html

[2] https://github.com/Scarysize/transit-pi
by robtherobber | 2026-02-25 09:42:46+00:00
You say... a lot there. And I struggle to understand the reasoning behind some of those claims. I won't go into details, but it should be said that regardless whether it leans - or is governed by a philosophy on the - left or right, administrations can be efficient, there's no question about that. I bring to everyone's attention the indisputable fact that administrations on this spectrum exist already (or have existed at one point in history) and some managed to be efficient.

I suppose a reasonable follow-up question would be 'how to measure efficiency?' or even 'what is efficiency?', in which case a trove of specialist literature exists for the curious-minded to arrive at various conclusions. Administrative efficiency cannot, and generally is not, seen in isolation - a number of factors need to be considered before determining what efficiency actually means since we're applying it to human societies and individuals. This inevitably goes well beyond economy, logistics, and even tangible reality (ex. budgeting rules will have to take into account economic reasoning but also whether it improves human life, or at least it maintains it at a decent quality, which is to say that we're moving into psycho-social and occasionally philosophical territory).
by b112 | 2026-02-25 09:42:51+00:00
systemd won because of politics, and absolutely nothing more. Debian, the root of the most used tree of Linux distros, only adopted systemd due to pressure from Redhat/Gnome, and threats that if it didn't?

Gnome would no longer work on Debian.

Understand, that many of the issues "resolved" by systemd, were redhat issues. And further, not even init issues.

For example, the most predominant being "predictable NIC names", which were already a thing with Debian. Or bootup times, of which Debian had excellent parallelization and boot times of a similar scope to how "fast" systemd was.

There's really nothing good, from a technical perspective, when something is enlarged 1000x the requirement. If you look at the code for sysvinit, it's maybe 10k lines. Systemd is > 1M lines of code, likely approaching 1.5M by now. So I suppose, 100x the size.

It needs to be understood that the more code you have, the more bugs. It's just the way it is. There have been more security issues in core systemd yearly, than sysvinit in its entire lifespan. That's not even systemd's fault, it's just a simple fact, you have more code, you have more bugs.

And when you say "systemd", you're likely referring to all the inane nonsense it does? How broken it is managing mounts, which really isn't an init's job anyhow? Or the absurd nature of having shutdown and startup identical, with automatic ordering, so you end up in all sorts of ridiculous edge cases?

Why would anyone presume that start and stop MUST be mirror images of each other. The very logic is broken, and shows an immense lack of comprehension of how the real world works.

And you speak of "it won" for superior this and that? At the start, it didn't even have an easy way to extend stop time. Hell, even now it just sends SIGTERM and a nanosecond later SIGKILL, as if shutting down a box FAST FAST NOW NOW is more important that data integrity or properly closed tcp connections or processes doing any form of proper cleanup.

The number of mysql/database issues caused by this behaviour in the early days was insane.

Look, I get you like systemd. But it's provided no real value, and certainly, even if there is some? The detractors outweigh it as the sun turns meat to leather.
by jascha_eng | 2026-02-25 09:43:11+00:00
I noticed this on my spring boot side project. Successful test runs produce thousands of log lines in default mode because I like to e.g. log every executed SQL statement during development. It gives me visibility into what my orm is actually doing (yeh yeh I know I should just write SQL myself). For me it's just a bit of scrolling and cmd+f if I need to find something specific but Claude actually struggles a lot with this massive output.
Especially when it then tries to debug things finding the actual error message in the haystack of logs is suddenly very hard for the LLM. So I spent some time cleaning up my logs locally to improve the "agentic ergonomics" so to say.

In general I think good DevEx needs to be dialed to 11 for successful agentic coding. Clean software architecture and interfaces, good docs, etc. are all extremely valuable for LLMs because any bit of confusion, weird patterns or inconsistency can be learned by a human over time as a "quirk" of the code base. But for LLMs that don't have memory they are utterly confusing and will lead the agent down the wrong path eventually.
by dirkc | 2026-02-25 09:44:04+00:00
The theme, being retrenched by Meta and the comment from the OP [1] makes me think they may not be that chill about the whole situation.

I think they're subtly taking a stab and AI motivated retrenchments while showing off some hard skills that could potentially get them gainful employment.

[1] https://news.ycombinator.com/item?id=47145647

ps. @OP, sorry to hear about the retrenchment, I can't imagine it being pleasant. Good luck with whatever comes next!
by embedding-shape | 2026-02-25 09:44:44+00:00
> Imagine the quality of life upgrade of getting compaction down to a few second blip, or the "Explore" going 20 times faster! As these models get better, it will be super exciting!

I'm awaiting the day the small and fast models come anywhere close to acceptable quality, as of today, neither GPT5.3-codex-spark nor Haiku are very suitable for either compaction or similar tasks, as they'll miss so much considering they're quite a lot dumber.

Personally I do it the other way, the compaction done by the biggest model I can run, the planning as well, but then actually following the step-by-step "implement it" is done by a small model. It seemed to me like letting a smaller model do the compaction or writing overviews just makes things worse, even if they get a lot faster.
by panstromek | 2026-02-25 09:45:14+00:00
> There must be a really good reason for this, such as Rust doesn’t interop well with C++

Yea, I'd bet it's that. Ideally, you'd want to stop writing C++ and continue with Rust on all new code, but Rust has stricter semantics, so the interop is somewhat "easy" in one direction, but very hairy in the other direction.

This means that in practice, you want to start porting from leaf components and slowly grow closer to the root, which stays in C++ for quite some time and just calls into Rust through C API (or something close to it).

If you're curious about the topic, there's a interop library called Zngur (https://hkalbasi.github.io/zngur/), which is built on this assumption. They have a pretty good explanation of the concrete problems on the homepage.
by Thanemate | 2026-02-25 09:45:15+00:00
I'm somewhat halfway through the original memo, and I hate the fact that kernels of truth lie here and there. For example, I used to work as a full-stack developer for about 2 years, and now I got forced into what the memo calls "gig economy" just to pay the rent, because companies slowed down hiring junior developers thanks to... Honestly, I don't really care at this point what I have to thank for.

All I know is, whenever I read testimonies from people whose companies suddenly decided to force LLM usage for productivity to be "AI first", having colleagues opening PR's who are only machine reviewed with implementations they cannot justify themselves outside of "Claude wrote it", makes me burnout just reading them. And it's only going to get worse until it becomes better, but not for the developers.

Honestly, the one thing that I could see justify all the investment companies make for LLM-assisted coding is the full automation of software production. I can only see the current state of things as the "end game" for them, only if they suddenly decide to jack up pricing to tap directly on the corporate budget and not the individual developer's budget.
by npodbielski | 2026-02-25 09:46:42+00:00
I do not know... I would probably never do that at all. Seems calculated and cold. Well I am not an expert in human connections also it may vary from country to country.
But where I live you may have better results by connecting to people that have similar interests whatever it may be:

-you like soccer? Watch the game with some people.

-you lime playing basketball? Probably there is some group of people you can join in your city.

-do you like old cars? Probably there are some events you can drive to and show whatever you have in your garage.

-do you like W40K or MTG? Probably there is some local club somewhere?
etc.

-if you have kids you just talk to people that have their kids in the same school/preschool/class because it makes it easier

-or if you like just to have a chat start attending local pub of your choice and have a chat to other regulars

This is the usual way of dealing with making friends where I live. But I am bit terrible at making new friends. I have just like 5 friends for +15 years.
by voidUpdate | 2026-02-25 09:46:51+00:00
> “Boiling water” isn’t “water that happens to be boiling.” It’s a hazard, a cooking stage, a state of matter

I guess we'll have to disagree then, because "boiling water" is "water that's boiling" to me. It's not a different state of matter to "water", that would be "steam". It being a hazard doesn't mean it's a singular concept, same as "wet floor"