YHK - yet another hacker news clone

So I guess everyone uses LLMs to think now

61 points xyzeva 2 hours ago 77 comments

yunnpp 1 hour ago | parent

Some of us capitalize the first letter of every sentence. Wild.

refactor_master 1 hour ago | parent

I guess we’re so used to autocorrect doing that, so that disabling it is a flex now?

MrMetric 1 hour ago | parent

You guys are using autocorrect?

__del__ 1 hour ago | parent

more or less, but a lot of people have been doing this for decades. to do it sanely on a phone requires adding lowercased words to your dictionary like i'm, i'd, i'll, and i've. a lot of us also leave off the trailing period

nomel 1 hour ago | parent

Let's say the average sentence is 17.5 words, with the average word length being 4.5 characters. Not capitalizing the first word is only a 1.27% character error rate, on average. Not too bad. ;)

katdork 1 hour ago | parent

it's an intentional display of informality by the writer, i imagine. i do the same a lot of the time.

RadiozRadioz 1 hour ago | parent

It's grammatically incorrect and annoying.

flir 1 hour ago | parent

prescriptivisT!

(said in the same tone as "splitter!" in Life of Brian)

hasmolo 1 hour ago | parent

Legitimate curiosity, what about capitalization selection annoys you? It feels like a stylistic choice that has no meaningful effect on readability.

pretzellogician 1 hour ago | parent

Deliberately making sentences harder to parse (by, e.g., bad grammar, bad spelling, lack of capitalization, lack of vowels, leet speak) is annoying.

Non-capitalization may not seem like a huge decrease in readability, but every little bit counts.

gray_-_wolf 1 hour ago | parent

It makes visually scanning the sentences harder, capital letter is bigger than period. I mean, sure, it is readable, but I do prefer regular text, you know, like in a book or newspaper.

__del__ 1 hour ago | parent

something that does meaningfully affect readability is WRITING IN ALL CAPS. you're almost guaranteed to have encountered the visually distinct shapes of lowercased words thousands more times than you've encountered the shapes of their uppercased counterparts

whateveracct 1 hour ago | parent

no it's not :)

at least, i don't think so heh

fasterik 1 hour ago | parent

I feel like the AI backlash is creating a rise in "authenticity signaling", cheap public displays of not using AI. Much like virtue signaling, it's lacking in substance and presents as an annoying affectation to people outside of the target in-group.

Grimblewald 57 minutes ago | parent

Good quality well organised and accessible knowledve on a staggering array of topics is at everyones fingertips via wikipedia. Yet, still, I frequently find myself discussing things in depth with friends and collegues that we could easily just lookup and confirm. We dont do this though, because in the process of trying to establish truth using only what is known to us as a group, often creates far more interesting lines of inquery and insight. These are frequently far more potent and useful than anything we can lookup and sometimes are novel enough we cannot find anything like it online. This can only happen because we all applied ourselves and the cognitive varient we embody.

So, the problem with AI is that it is a regression to some mean of minds + corporate bias introduced. It contributes at best one person worth of input variance and is wholly incapable of contributing efficiently or effectively. AI does not contribute effectively and units of insight offered per word read is abysmal for AI text, and so carries enormoys cognitive burden to refine the slop into the simole coherent point actually made, if there even is one, which you often don't know until the effort in refining has been expended. So, we introduce a lot of labor to discussuons by including AI when best case it may offer about as much variance a single person who is not willfully ignorant can offer.

So, I imagine I am not alone in this, and when I talk with humans, what I want is their mental model of the world to contribute, not some corporate mouthpiece i could query directly if that's what I wanted. AI is not exactly inaccessible.

So, i think most are hypervigilant in pointing out AI in their communities for a variety of reasons , but a common theme will be that those who use AI to do their thinking are a single entity in terms of what they actually add to the discussion, and spread over many people it is the age old spam problem, a single mind having disproportionate signal strength in a discussion where all voices should carry equal energy.

margalabargala 1 hour ago | parent

The journal is about a thing this person does privately for fun.

The writing style is clearly not meant for others to read either. They just did stream of consciousness out of their brain and didn't proofread. It's not meant for external consumption.

Capitalization is something you do out of respect for your reader, to make things easier for them. If you aren't intending others to read your writing, then there's no one to disrespect, so why bother?

steve_taylor 1 hour ago | parent

> It's not meant for external consumption.

The blog author and HN user who posted are the same person. It was meant for external consumption.

michelangelo 1 hour ago | parent

I guess it's a way to convey informality and rejection of "the norm" sacrificing legibility.

It's probably a way to express freedom, like the freedom of just refusing to consume unreadable walls of text that disrespect the reader. Freedom goes both ways.

attila-lendvai 1 hour ago | parent

not OP, but it's much simpler for me: when i edited/reordered a sentence, i hated when i had to fix the capitalization. and it's also faster to type without messing with the shift key.

eventually it became a habit and started to leak into more and more of my writing, including public writing. if i wrote something like a blog post, i would still capitalize it, though.

dcwca 1 hour ago | parent

that's model talk! get 'im boys!

gnabgib 26 minutes ago | parent

What makes you think Erica is an 'im?

attila-lendvai 1 hour ago | parent

.and some are putting the dot at the beginning of sentences with all lower case, like in Lojban .it makes much more sense if you think about it

(but i'm half joking here. normally i just don't capitalize, only the names.)

card_zero 48 minutes ago | parent

Hmm, that does compensate somewhat.

dist-epoch 1 hour ago | parent

> eMudhra. you know, the company who had their CA private key as the number Four. this wasn't found by an ai, but just a human using a old ass library made by google called paranoid_crypto to scan through keys for fun out of curiosity

https://github.com/google/paranoid_crypto

> The goal is to increase the confidence in cryptography use cases inside and outside Google. With Paranoid, any cryptographic artifact can be tested, but its primary motivation is to detect the usage of weak third party hardware or software black boxes.

So google didn't use their own paranoid_crypto lib to check the key before adding it to the Chrome trusted certs.

masfuerte 1 hour ago | parent

The bad keys weren't added to the Chrome trusted certs. They were intermediate keys, signed by a key that was trusted.

tayo42 1 hour ago | parent

> don't know how more people don't experience this, but staring at an llms output be confidently wrong eventually to get there in the process, or looking at the commands its running and see some really stupid things its doing drives me crazy to the point i will just stop it before it answers, i cannot handle something being that confidently wrong (even though it'll probably still get there in the end)

They do? Internet is filled with people complaining about it

lazyasciiart 1 hour ago | parent

> i cannot handle something being that confidently wrong

I don’t know how these people have stayed so oblivious to it happening all around them for decades. LLMs didn’t invent it.

rnd0 1 hour ago | parent

> (even though it'll probably still get there in the end)

Burning up tokens/credits needlessly as it does so. That might be a non-issue for people using LLMs through their work but as someone doing AI on a limited budget that's an issue that drives me up a tree!

Joker_vD 1 hour ago | parent

Two local models I've tried were dead sure that "How Much Is the Fish" was a 1956 song by Dave Brubeck. When asked why they thought so, both just kinda shrugged. At least that was sort of free but seriously — that's the basic knowledge recall scenario, how did it get this garbled? What else gets so horrendously garbled? How can we even know?

__del__ 1 hour ago | parent

i highly recommend asking for terse or concise responses in whatever your chosen LLM calls its system prompt. you can give a brief explanation of your areas of expertise and say that you don't need those things explained to you. there are limits to how much this stuff works, but it's worth a shot

hdndjsbbs 1 hour ago | parent

My work pays me the same if I kick off a Codex session and go practice guitar. My workflow now is like, prompt LLM, answer some emails or review some code, get a coffee, see what it barfed out.

denkmoon 1 hour ago | parent

Must be nice to not have been forced back into the office. Might as well watch paint dry on the walls while I wait for the LLM barf.

hdndjsbbs 34 minutes ago | parent

I've seen people in the office watching live streams while coding. It seems fine to me if the work is getting done, I like some background noise anyways.

pona-a 1 hour ago | parent

Except in that case, your employer eventually catches up with that and forces you to supervise 10x agents, as you're gradually RLHFing your complete replacement.

Second order effects exist!

hdndjsbbs 35 minutes ago | parent

I don't know who these people are who are supervising 10 agents, but to me there are diminishing returns. There are people on my team who are producing more PRs than me but they're honestly a huge pain in the ass because half of them are nonsense.

margalabargala 1 hour ago | parent

Coding is now a lot like playing chess.

It's been decades since beating the best computer at chess was possible. But people still play, because they find it fun to get better at.

The major difference being that winning a chess game doesn't yield a permanent artifact that is useful, generally.

It's fine this person wants to journal about the things they do privately for fun. They clearly aren't writing for others to read their work.

xpct 1 hour ago | parent

> They clearly aren't writing for others to read their work.

I don't know, the prose and material is fine in my opinion. I do find the uncapitalized style a bit weird, but it's not something that stops me from reading it.

margalabargala 36 minutes ago | parent

It's a major readability issue for me. I see it periodically and generally assume that person is writing for themselves. Which is fine. The alternative is they're deliberately trying to make things harder for their reader, which I assume usually is not the case.

Gerlo 1 hour ago | parent

>They clearly aren't writing for others to read their work.

The author of the blog post and the OP who submitted the article are the same person.

skissane 1 hour ago | parent

> It's been decades since beating the best computer at chess was possible.

LLMs can do an impressive job of writing code that meets some specification-but they still can’t beat humans at deciding what that specification should be. That’s especially true when it comes to non-functional requirements, e.g. what constitutes good coding style or good architectural choices.

> The major difference being that winning a chess game doesn't yield a permanent artifact that is useful, generally.

Chess has a single clearly defined “win condition”; coding doesn’t.

black_knight 57 minutes ago | parent

This is exactly it. I do not at all feel superfluous in my coding endeavours these days, even when I don’t write any code. If left to its own devices, Opus 5.5 would still fail at the things I want to achieve. It would produce what I would call the toy rocket, when I want the real NASA design. And it requires constant effort in my part to keep it on track to success.

HWR_14 1 hour ago | parent

I still write better code than LLMs. It's just slower, and the quality difference is not usually worth the human effort.

Grimblewald 1 hour ago | parent

but also, throw a weird variation of the game at the computer and it falls apart. Need something novel? llm's wont cut it. Doubly so if what is being done goes against established conventions, even if those are demonstrably wrong, to keep an llm from undermini g everything you first need to show it all the proof and evidence before it can be trusted to help, which for a complex problem can eaisly be 30-50% of co text limits.

LLM's are good at solved problems applied to known or similar to known applications, otherwise they're not going to match humans.

IshKebab 1 hour ago | parent

The tone of this article is "I guess everyone else is stupid now", but his reason for not using LLMs is that he likes doing it the hard way.

Good for him but I don't think that justifies such a snooty position.

I will agree that it kinda sucks not being able to claim credit for your work. I've vibe coded or vibe finished several apps now that are extremely impressive, better than the existing alternatives. But I feel weird saying "I made this" because it feels like I barely did anything.

strangecasts 4 minutes ago | parent

Author goes by it/she

micromacrofoot 1 hour ago | parent

I have the same thought on all these "I don't use AI" posts: I would like to not use an LLM too, but I'd soon be out of a job if I didn't. It's an exhausting place to be and I wish I were closer to retirement.

eleventen 1 hour ago | parent

Being told that trying to keep your career afloat is a personal moral failing has indeed grown tiresome.

gonzalohm 13 minutes ago | parent

In which ways are you forced to use it though?

CamperBob2 1 hour ago | parent

i don't know how more people don't experience this, but staring at an llms output be confidently wrong eventually to get there in the process, or looking at the commands its running and see some really stupid things its doing drives me crazy to the point i will just stop it before it answers, i cannot handle something being that confidently wrong (even though it'll probably still get there in the end)

Let's talk about being "confidently wrong." I don't know if the original author is reading comments here, but if so: how long has it been since you had the experience above?

Have you noticed it happens less and less often as time goes on? And that the models take less time and fewer trials to "get there in the end?"

Because the rate of change is the important part, not the state of the art at the particular moment in time when you formed your opinion.

danpalmer 1 hour ago | parent

I'd argue the improvement has come not so much from fixing hallucinations, but more in getting LLMs to successfully run for longer, which lets them more effectively fix their own hallucinations. This is still an improvement, but at the cost of bigger models, with more tokens, running for longer.

I'd be interested to see benchmarks for this sort of thing plotted against cost, power usage, and elapsed time. If these are all sub-linear then that's great, but if some aren't that could be a real problem for LLMs in the long run.

pona-a 58 minutes ago | parent

No? LLMs have been outputting more text ever since chain of thought became a thing, and multiple researchers shown thinking traces are outright confabulations, only serving as more memory for latent processing. The tool calls too I believe have gotten more frequent since labs reward tool use regardless of practical value. The net effect is more total intermediate bullshit, even with more results.

OpenAI's harness can solve frontier math problems but the model alone is still a clofabulation machine. Its "intuition" did for a while get better from sheer scale, but we reached the optimum frontier for non-thinking models years ago.

rolosa 1 hour ago | parent

> i truly have tried to use llms before, just to try it out. nothing i was going to publish as research, but i really couldn't and it left me never wanting to use an llm again

>

> i don't know how more people don't experience this, but staring at an llms output be confidently wrong eventually to get there in the process, or looking at the commands its running and see some really stupid things its doing drives me crazy to the point i will just stop it before it answers, i cannot handle something being that confidently wrong (even though it'll probably still get there in the end)

When people say stuff like this, that they've used LLMs before and hated it, and then list off a bunch of stuff about how they're confidently wrong and all this other stuff, my only question is when? When was the last time that they used an LLM? three months ago, six months ago, one year ago, two years ago?

xpct 1 hour ago | parent

Why does that matter? The argument still stands, they are still dumb. We learned some ways to bypass the dumbness and automate some major workflows, and we still see them fail at random things.

two_handfuls 1 hour ago | parent

They are improving quickly

adamddev1 1 hour ago | parent

But not getting past the forefront of what's known and written by humans, right? (Aside from filling in math proofs by broad searching and brute forcing known lemmas?)

sejje 52 minutes ago | parent

Peak humans? The best we have to offer?

Or my coworkers?

smugtrain 1 hour ago | parent

“They are still dumb” “We learned some ways to bypass the dumbness”

card_zero 1 hour ago | parent

"We learned some ways to bypass the dumbness" "They are still dumb"

9dev 1 hour ago | parent

It matters the same way saying “solar panels are super expensive” has been historically true not too long ago, but prices have fallen so rapidly it’s simply no longer a correct statement - even if you will occasionally come across an overpriced offer here and there.

xpct 37 minutes ago | parent

I feel like we're arguing over semantics. What op quoted, referring to what I imagine were things like: confidently running wrong commands, answering something without looking it up, getting stuck on long scripts and not self-correcting all absolutely still happen, so the statement isn't incorrect.

I would also wager that OOP knows LLM limits quite well, and a more interesting discussion would be for why someone perceives LLMs as dumb as opposed to speculating whether they're aware of the frontier or not.

black_knight 1 hour ago | parent

It matters because they used to be just dumb, but now they are at the same time smart and dumb.

I can work on ideas with LLMs, even within my own area of expertise. They know quite a lot, and can take an idea I have and run with it. I would never trust them to be correct, but if I give them a new idea and ask them to work out details and raise any issues they find, I can quickly evaluate their findings, and take them into account when developing the idea further.

I do not do this on all ideas, not even most. Most of the time it is still me, a sheet of paper or some code. But still, comparing to how it was a year ago, it is night and day!

A year ago I would just close the window after the first reply, shaking my head at its stupidity. I can still get that experience by using anything but Opus 5.5 or Fable. I tried the $20 ChatGPT tier last week and was immediately thrown back to that old annoyance! (I am sure the best OpenAI models are fine)

LPisGood 1 hour ago | parent

They are still confidently wrong often. It’s harder to spot with Opus 5.5 effort medium+ but AI search overview is rife with this

adamddev1 1 hour ago | parent

Last week and tonight I tried asking a frontier model a couple of basic questions about a language with 60-70 million speakers with that I'm an expert on. It gave absolutely brutal, confidently wrong answers. It was completely confused and about the basic structure of the language.

bscphil 1 hour ago | parent

I think the places the average person starts out with AI do look like this. Most people are not paying a $20 a month Anthropic subscription just to try it out. They're using free chat apps, reading the garbage llm summary Google puts at the top of every search page, dealing with the low quality tools foisted on them in their email app or word processor.

Have all these gotten a lot better in the last year? Sure! But there's still a several-orders-of-magnitude difference in quality between whatever garbage tier of GPT-6 Luna you can use for free on `duck.ai` (just for one example) and Opus 5.5. Or even GLM 5.3 Flash. It's a way bigger difference than the improvement in ~free models has made up for in the last year, even though those improvements have been substantial.

I think a certain sort of person, if they do try to use something better along with a coding harness, as also immediately inclined to read along with the reasoning traces - and understandably gets freaked out by the nonsense it contains. That's a mistake, I think; not just because models behaving "reasonably" doesn't depend on the rationality of their reasoning traces, but also because I think if you transcribed my brain activity into a serial stream of text, I'm not convinced it would be more coherent.

Calavar 1 hour ago | parent

This is always the first response to criticism of LLMs, and it's starting to feel banal, because it's a counter that you can pull reflexively from your back pocket at any time without engaging with the actual content of the criticism. I'm not saying it's wrong necessarily, but rather that the added information value of "have you tried GPT Cosmica 15" in a discussion on LLMs is approaches zero. Because it's such a generically applicable response.

sejje 54 minutes ago | parent

Well, it's just a rephrasing of "I don't share this experience at all."

And it's an easy explanation for why one person can be getting "confidently wrong" results still, and another person hasn't experienced it in a long time.

I'm one who hasn't experienced it lately. I haven't even thought about it in quite some time. Maybe a domain thing, maybe I'm not doing fancy enough work, maybe that guy is using some shitty model.

Aurornis 55 minutes ago | parent

Every time I get pulled into a conversation with someone who is an extreme AI skeptic in this latter half of 2026, it’s eventually revealed that their only experience is one of:

1. The AI box at the top of Google

2. The voice assistance on their phone when they tried it a long time ago. Some question they asked Siri in 2025 and got a bad answer for.

3. ChatGPT free tier.

For a while you’d find someone who got assigned an AI tool at work but their administrator limited them to the cheapest model for cost savings, but most companies are wising up.

I also talked to a developer last month whose company had never let them use anything beyond Sonnet. When I told him I used Opus for everything his eyes went wide because he assumed I was spending thousands of dollars per month. However now that the latest Sonnet is very good, even this category of exposure is decreasing.

I think in 2027 as advanced models become more common we’ll see less of these claims about AI not working well when they tried it. There will be holdout group of people who refuse to try anything new, but the world is moving on.

valiant55 50 minutes ago | parent

I'll call myself a late adopter. I tried early models and wasn't impressed, work has made some things available but wasn't forcing us so Ive been keeping my fingers on the pulse for a bit but watching from the sidelines. In October I decided to give it another shot and Opus 5.5 has blown me away, I've written a whole PR for a sparsely documented project and was like write the PR description for me with like one sentence of background, no Claude.md, no context other than the repo and it completely nailed the description. Most of my apps are in the tens of thousands of lines, so nothing huge but still the capabilities of the frontier models is crazy good. They've come a long way from even a year ago.

01284a7e 1 hour ago | parent

When as an industry you are collectively doing a trillion in CapEx every year, you are just going to do your best to brainwash the living hell out of everyone to adopt your crap because you really want your money back. Everyone (and their agency and their ability to think even) be damned. The consequences for society? Whatever. There's money you need to make. It's all about the Benjamins, baby. And so, all day long spam, spam, spam. All we do here at Hacker News is talk about these companies. Even worse in other sides of the Internet, there are practical death cults that have formed around all this. It's madness.

Sytten 1 hour ago | parent

So I guess everyone uses IDE to code now. I consider anybody not using vim to be a complete moron. Auto complete and syntax highlighting are for the weak minded. /s

pona-a 1 hour ago | parent

Even if we're in the same boat, I'm now actually cheering for AI replace my job, purely so people like you will be out on the streets with me and my "I told you so".

emaro 56 minutes ago | parent

If you think it's more fun that way, sure. Sometimes (often?) satisfaction is about friction.

And I've seen the /s, but your comment seems to mock OP's point more than just trying to be funny.

danpalmer 1 hour ago | parent

The people I work with outsourcing their research to LLMs are doing wonders. The people I work with outsourcing the line-by-line level of coding to LLMs are hugely productive. It's honestly amazing to see what is possible.

The people I work with outsourcing their thinking to LLMs are struggling, and if I'm not careful they're creating more work for me in review and feedback. The people I work with outsourcing their codebases entirely to LLMs are producing some of the worst software I have ever used.

sega_sai 1 hour ago | parent

"for me, at least, the process of getting somewhere is more interesting then the end product." -- that's perfectly fine for a hobby, but not for an engineer job.

gnabgib 1 hour ago | parent

Not at all. We have lots of products (corrugated steel, yoghurt, microwave ovens) that were part of the process of getting somewhere (else) and became the end product. Lots of engineers involved.

adamddev1 58 minutes ago | parent

The people who have this "hobby" attitude of really appreciating the well made steps are the ones that are making deep advances and truly solid things that are used in the long term.

Aurornis 1 hour ago | parent

I think there is a lot of interesting discussion around the topic of offloading thinking to AI and the consequences, but blogs like this don’t scratch that itch. This falls more into the category of virtue signaling and pick-a-side division that does well on social media but has little relevance to real life.

The core piece of this blog post is that the author doesn’t use LLMs for fun work because they do the fun work to have fun. Okay. Nothing new there. I some times grow vegetables myself and eat them instead of buying them from the store because I think it’s fun. I don’t feel the need to go around sneering at people who offloaded all of their vegetable growing to someone else. I also don’t like associating with people who get smugly superior and condescending about their personal gardening.

In fact, even though I enjoy gardening and nerding out about it, I don’t like talking to the gardening snobs who have turned it into a part of their personality and who think it makes them superior to the lowly people who don’t garden.

And that’s the exact vibe I get from the articles like this, where the topic drifts into virtue signaling and criticizing the LLM users.

There have been an exhausting supply of these articles for the past few years, and there’s frequently a section like this in each of them:

> i truly have tried to use llms before, just to try it out. nothing i was going to publish as research, but i really couldn't and it left me never wanting to use an llm again

I won’t judge anybody for not using LLMs or for using LLMs for their fun work. Do whatever you want for fun! Don’t let virtue signaling posts like this one shame you into thinking there’s a right way or wrong way to enjoy your fun project time.

That said, I find that to get good discussion about the pros and cons of AI on our thinking you have to look beyond these people who just don’t get LLMs at all. You can’t really understand this topic until you’ve seen both sides.

I wouldn’t find it interesting to read an article on this topic from someone who never learned to program but only uses LLMs to write code because they do not understand the other side. Imagine seeing “I tried to learn how to code once but it didn’t really click for me. It left me never wanting to write code again.” Then they went on to talk about the brilliance of vibecoding with some collected examples of hand-written code causing problems. This article is essentially that, but from the other perspective.