Stories

Comment by Imustaskforhelp

Comment

Comment by Imustaskforhelp

> Average people seem to think they are fucking awesome

Average people who wants to go home from work and game are angry at AI for raising the ram prices.

Average person who wants to own the stuff and not have things on cloud are angry at AI for raising prices 5 times in such a short period of time.

Have you talked to an average person and how they use AI? They use it as a glorified no-code editor (I would admit not no-code editor itself but rather the vibe-coding aspects with no regards to what tech stack is being used, how its being deployed, literally anythoing) and search engine. Refer to how things like lovable etc.

A search engine which can make some pretty wrong cases which can literally lead to near death like scenarios all while being completely trust me bro attitude.

A man asked AI for health advice and it cooked every brain cell: https://www.youtube.com/watch?v=yftBiNu0ZNU

Normal people use AI to confide in it secrets, seek therapy somehow. And the same AI generates AI pyschosis.

Now coming to tech industry: Tech industry is worried about that such levels of democratization just means that nobody is going to pay for them yet at the same time, we will see projects who are completely created by AI seek money. It's this weird mush where if you are a genuine guy who just loved computing, who loved tinkering, yeah we're offloading that capability to AI

I have seen this even more and more with as agents want to get more autonomous or we are letting them be. The projects generated feel hollow to me. I don't consider myself a full fledged programmer right now and AI did supercharge me and made me have projects. Nowadays, it just feels like prompt ---> (Time) --> Output.

It just feels hollow and AI companies did it by abusing the passion of these same developers and scraping stack overflow, scraping github and having all disregards for properties.

People could spend years creating a book about say postgres and an AI took it, ripped it in half and then decided to use that info and not even give credits.

All, at the same time that AI is being pushed down on employees. Some just don't want to have it but nope, they must. they are forced.

Essentially engineering with AI feels like it becomes a marketing gimmick. Anyone who can market somehow (Ahem ahem Openclaw) can get a job at OpenAi all because in some attention hype breeds hype and they had stars and people talked about stars on twitter, and more people found it and starred it and so on and started using it

Turns out that nowadays there are allegations being made against Openclaw

> Star velocity shocked analysts. Moreover, the repository added roughly 220,000 stars within 84 days of launch. In contrast, Kubernetes needed five years for similar numbers. Many builders call the growth organic. Nevertheless, some observers link the surge to hype, bot accounts, and headline attention, fueling the GitHub Stars Controversy. Independent GitHub Archive pulls show several single-day jumps above 25,000 stars. Such abrupt spikes often signal scripted starring, yet no formal audit confirms abuse. These patterns feed community debate. Consequently, trust in the star metric has weakened, prompting calls for verification.

https://www.aicerts.ai/news/openclaws-github-stars-controver...

The marketing industry has been very closely linked to sometimes scam prone areas and shady areas of the internet and engineering used to be clean from all of this for the most part. Now, the norm to me feels like buy github stars and buy twitter attention or pray to be in an algorithm which you can't read but it reads every move you make, and yes this is your business strategy now

Have you looked at truly AI-first companies and what they do/like how do they generate numbers in the first place?

These are two distinct points. I don't think that people of here would be any mad if someone made a little prototyping script for themselves with the power of this Phd that you mention. Heck, these same programmers that you now call gatekeepers have never gatekeeped much of it. They worked and contributed to open source for free while being severely undermainted.

The audacity to call these same people gatekeepers shockens me because open source people if anything are the Opposite of that and yet AI stole their rights and their licenses from them. An AI can take AGPL code and then somehow churn it into MIT tada! It doesn't even have to give any accredits when it gets trained on AGPL or ANY type of code, no matter how restrictive or permissive.

these are the same people btw who are on programming forums which yes at times did have moderation issue but still tried to help noobs learn for free. They did it because they loved tinkering with computers

That's my take on it. feel free to ask for more things if you may as I would love to tell you more but for the sake of this discussion, I think enough can be relevant.

It's absolutely ironical to call say the Open source people gatekeepers because AI violated their rights and licenses.

Calling Open source Contributors gatekeepers might as well be an oxymoron.

Edit: I have been downvoted in so little time after I wrote this comment that I am pretty sure that someone might not have even read my comment and had it downvoted.

The topic can be at times too polarizing to even have a discussion.

Oh well. That's completely okay but to any human who read this, I know my writing can be sporadic and it was written in much frustration over how people try to frame AI as this harbingers of liberty. I absolutely think that's not the case and its viewing things from a very rose tinted glasses.

So thanks to all the humans who read my comment and were patient haha!

I really appreciate this patience in a world of TLDR and I wish you to have a nice day!

Replies Imustaskforhelp · 2026-03-05
Open on HN
Loading the discussion…

Domain filters

Stories from these domains are hidden from every list. Subdomains match too: blocking substack.com also hides danluu.substack.com.

    New collection

    Delete this collection?

    About YAVCHN

    YAVCHN is a reader for Hacker News and Lobsters, with articles and discussions in separate windows or Classic pages.

    Created by Paul Parks and built with PUDL.

    YAVCHN source code on GitHub

    Privacy policy · Terms of use

    Help

    Keyboard

    j / k
    Move down and up the story list. The arrow keys scroll whatever has focus.
    Enter
    Read the marked story in the article reader.
    ]
    Read the next story in the same article-reader applet. Back returns to the previous story.
    p
    Pin or unpin the marked story, which keeps it in Pinned.
    n / N
    Move to the next or previous top-level comment in the window in front.
    c
    Collapse or expand that comment.
    f
    Hide or show the story list.
    Esc
    Close a menu or this help.
    Access key m
    Go to the menu bar. Most browsers take it with Alt on Windows and Linux, and Safari with Control and Option.
    ?
    Show this help.

    Windows

    Each story opens in a window holding its article above its discussion; drag the bar between them to share the room differently. A window can be moved by its title bar, resized from any edge, snapped to a half or a corner by dragging it there, maximised, or minimised to the bar at the foot of the page. Use Window > New reader window to open an empty reader, or Story > Open in new reader window to open another reader for the current article. Docked readers keep their articles when you select another story from the sidebar. Minimized readers can be restored and reused for their site. A window's Next story link reads on down the list in the same window.

    A link in a comment or an article to another Hacker News or Lobsters thread opens that thread in a window too. A link to a single HN comment opens the comment above its replies.

    While a story's window is in front, the Story and Discussion menus in the menu bar hold its commands: pinning, Next story, sorting, collapsing every thread, jumping to the first new comment. Each window also remembers where you were in its article and discussion, so a reload, or Back to a story that Next took you past, finds your place again. Closing a window forgets it.

    The whole arrangement lives in the address, so a bookmark or a shared link brings it back, and Back undoes the last change. Moving between Hacker News, Lobsters, their lists, Pinned and Find changes only the list, and leaves the windows open.

    The list

    The pin at the start of a row keeps the story in Pinned, and the cross at its end hides it. Pinned can be narrowed by words in the title, site or author, by source, and to the stories you haven't opened yet, and ordered by when you pinned them, by points or by comments; the filters are part of the address, so a filtered view can be bookmarked. Scroll past the end of the list to load more. Domain filters, in the View menu, hide every story from a site.

    Collections are named lists of stories. Story > Add to collection files the story in front into one or more of them, and the Collections feed shows them all or one at a time; the menu that chooses collections also creates, renames, and deletes them. A note is your own text on a story. Choose Add note in a story's toolbar to write one; it saves as you type. Rows with a note carry the note mark, and the Notes feed lists every noted story and searches the text of your notes.

    Browsing view

    View > Windowed and View > Classic select the browsing view and save your default in this browser. Window view reuses a reader for each feed. Classic view opens stories and applets as pages. Open as a page is a one-off action that does not change your saved default. Use the Windowed selector to return an article to a window. Direct page links always open as pages.

    Applets

    The Applets menu in the menu bar holds three tools, each a window of its own. Replies to me takes your Hacker News user name and lists the replies to your last thirty comments and stories, checking again every three minutes while it is open, and marking what is new since you last marked them read. Look up a user opens a profile on Hacker News or Lobsters, with their submissions and recent comments, as a commenter's name in any discussion does; the bar at the top of a profile looks up someone else in the same window, and Back returns to the one before. Who is hiring? filters the posts of HN's monthly hiring threads by the words you type.

    They read only what the sites publish to everyone, so none of them asks for a login, and your user name stays in this browser anonymously and is included in retained applet state when signed in.

    Find

    Find takes any link and lists every time it was submitted to Hacker News and Lobsters, so you can read each discussion of it.

    About

    YAVCHN never sees your Hacker News or Lobsters login. The discussion is fetched from each site's public API; to vote or reply, follow the link above the discussion, or the arrow beside a comment, to the source's own site. Without a YAVCHN account, your data stays in this browser. When signed in, pins, collections, notes, blocked domains, and retained reading state are stored with your account and synchronized across devices. Hidden stories and layout stay in this browser. The privacy policy has the details.

    Open source: github.com/paulmooreparks/yavchn. Built with PUDL.