I think that the recent post by the moderator in r/opensource has phrased things in a very antagonistic manner that flipped even people who are against the spamming of LLM generated projects all over reddit against them.

I think that most concerned people don't like the way that private services like ChatGPT, Claude and other "AI" companies have emerged and continued to play a negative role in many aspects of life; being one of the driving motives of hyper-inflation, negative health and environmental impact on local communities, the huge role in industrialised misinformation, massive shortages in personal consumer electronics and finally the software pollution that it caused as well as the serious influence that it has on politics in general.

However, I think that even the people who are most against this environment agree that there can be good use for LLMs when combined with knowledge and experience. And this is the actual stance of the Linux kernel (even though many people try and make it as if the whole Linux development is solely managed by LLMs); these tools are being actively used with heavy monitoring to work with PRs and other incremental tasks while being heavily reviewed, tested and monitored.

I suggest the following points:

1 - The focus should be on low-effort projects, which is the genuine problem.

2 - We should push for disclosure (yes even if people can still lie about it) because I do appreciate when developers explain how they used their LLMs; one common use case are debugging and testing tools.

3 - Even though I understand that the LLM generated posts can be annoying, but actual non English speaking people do use these tools in their everyday lives and yes this can be discrimination as well as it will serve people who come post and comment in bad faith.

4 - I believe that there can be an ethical and respectful approach to LLM use that we can encourage: Local and open-weight models. This does really respect the background and philosophy of Open Source and give the users more tools that don't depend on a subscription model. Of course there's a hardware shortage because of the big companies but distillation is making it more possible to run very capable models locally.

I know that many people don't share my opinions on big tech driven LLMs and that's perfectly fine. But I know for a fact many people share my sentiment and would like to find a solid solutions.

Ourchive

Ourchive - GitHub

Ourchive - Fanlore.org

Ourchive apparently wants to democratize hosting fanworks on the internet.

From the Website Page:

Ourchive aims to continue a tradition that archives like eFiction started. When you install Ourchive, you get flexible metadata like tags, the ability to upload images and audio, and the ability to administer users, all within an easily installed Django website.

With Ourchive, you can create an account, upload works, create bookmarks and collections of bookmarks, and comment on others' works, bookmarks, and collections.

Its for fanfiction users, especially ones that are looking for alternatives to ao3, given it's current emergency shutdown.

I was browsing various different ao3 alternative sites, due to the ao3 blackout, and I stumbled upon Ourchive.gay

Which is apparently a decentralized alternative to Ao3.

Plus, they use Mastodon

Although, they're relatively new (first started in 2023), plus they're still in demo, and haven't added federation yet.

It's Hand-built, no AI

DEVELOPER DOCUMENTATION:

https://developer.getourchive.io/

ADMIN DOCS:

https://docs.getourchive.io/

i want to find software that lets me change volume and other settings of my computer in a simple way

windows settings is not good enough for what i would want its not perfect i would want something better does something better thats FOSS exist?

I logged into my Hugging Face account today because one of my old scripts got blocked. The Space was paused with the "content policy" message. Okay, fair, it happens. 🤷cause this art of scipts are now ilegal!

Then I wanted to make a new Space and saw: Docker = Paid. Great. My old Spaces still run, but new ones? Looked dead.

BUT then I looked closer at the create page: Gradio is selectable and ZeroGPU is marked "Free"! I cancelled PRO last month, so I was like... wait, what?

I looked it up. According to the HF docs, a free personal account in good standing (verified email, older than 30 days) can host up to 2 ZeroGPU Spaces for free. My account is pretty old, so it just works. Just Cool!

What I found out:

• ZeroGPU is Gradio only. No Docker, no Streamlit, no own server.

• Quota is about 5 min GPU per day (older pages say 3.5, the docs now say 5). It resets 24h after your first use.

• That is a RTX Pro 6000 Blackwell, so for testing and small demos 5 minutes is actually fine.

• Orgs don't get it. It only works in my personal account, orgs need a Team/Enterprise plan. That's why it didn't show up there.

• Not every free account sees it. There is a forum thread where someone with a valid free account gets "Paid" anyway, so maybe it's a rollout thing. YMMV.

• CPU Basic seems gone for new Spaces, only Static is free and unlimited.

Also news: Nvidia announced it will buy Hugging Face. I don't know if this has anything to do with the changes, I found nothing saying so. The CPU thing came before the announcement.

Now I'm building a small reel maker (SDXL images on ZeroGPU, video assembly on CPU so it costs no GPU time). Will report if it works. 😄

Sources:

• Official docs: huggingface.co/docs/hub/en/spaces-zerogpu

Summary: Free personal account = 2 ZeroGPU Gradio Spaces, about 5 min GPU/day. Orgs and Docker still need paid.

I built Reelset, an app that turns dev news into short narrated videos, and I just made it open source.

Code: https://github.com/ReelSet/reelset

Live website: https://reelset.app

Sources right now: Hacker News (Algolia API), GitHub search, Reddit (via Arctic Shift), YouTube, RSS feeds from the GitHub, Cloudflare and Hugging Face blogs, and Hugging Face Daily Papers + arXiv.

It runs on Cloudflare Workers, Remotion makes the videos, and the website is Next.js with Supabase. Every source is one file, so adding a new one isn't too hard. The tests don't need any API keys to run.

If you want to run your own copy, you need your own Supabase, Cloudflare and an AI key, so it's not one-click yet.

I'd love help with new sources or better video templates. You can drop ideas in Discussions.

is promotion of open source apps allowed or is there any restrictions?

What it does:
Openspline adds a live, talking face to any voice AI agent in five lines of code.

Who it's for:
Developers who want to add a realistic avatar to their AI.

Source code: github.com/openspline/openspline
License: MIT Licence

Builds on: SoulX-Flashhead
How it was built: AI-Assisted

Hi everyone!

After all the recent controversy I just wanted to say that I really appreciate having a community that welcomes genuinely open-source projects

I started working on Nodus Research last summer, initially as a tool for my own research. Since then, it's grown into a small ecosystem of four free, open-source apps:

• Nodus Research (Windows, macOS, Linux): The main desktop app, with nine different workspaces for academic research, studying, teaching, databases, genealogy and more. It includes Zotero integration, semantic search, knowledge graphs, AI-assisted research and writing, PDF tools, and support for local and online AI models. Everything is local-first. https://github.com/jorgepb96/nodus | Download

• Nodus Reader (iPhone, iPad, Mac): An EPUB/PDF reader with natural, on-device TTS powered by Kokoro and Phonon, plus highlights, annotations and library management. No cloud processing. github.com/jorgepb96/nodus-reader | TestFlight

• Nodus Presenter (iPhone, iPad): A companion app that turns your phone or tablet into a presentation remote, with speaker notes, slide previews, drawing tools and QR pairing with Nodus Research. github.com/jorgepb96/nodus-presenter | App Store

• Nodus Drift (iPhone, iPad): An offline ambient sound mixer with 89 sounds you can combine for reading, studying, focusing or relaxing. github.com/jorgepb96/nodus-drift | TestFlight

As you can probably tell, the ecosystem has a strong focus on reading, research and academic work although I hope these apps can be useful well beyond academia too.

All four apps are completely free and open source. No subscriptions or paid features.

Of course, none of this would have been possible without the people who have contributed code, reported bugs and shared their suggestions. AI-assisted development has also helped me move the project forward much faster than I could have on my own.

There's still plenty to improve, and I'd love to hear your thoughts. Feedback and contributions are always welcome!

Website: https://nodusresearch.com

Contributors: https://github.com/jorgepb96/nodus/graphs/contributors

i think it should be at least 250 karma required if under 2 years of account age

if the account is over 2 years old no karma requirements should be there since most of those accounts will already have the karma most likely for most of them

It started as a personal project that was just for me but it was looking good so i made it commercial, if i try to build this before AI it would have taken years and multiple people and there is no security issues because most things are in local.

When i posted this on some sub reddits, they downvote everything, the whole post and also if someone ask a question downvoted, i understand if you don't like it but they don't even let comments or the post to go positive votes.

If its not interesting or useful for you just ignore, why hate so much for just trying to build a solution?

I saw the other poll. I work in data and I feel like the pool is asking one question then in the comments people interpret it for the other, so instead of a preference poll, i.am directly asking what should be allowed on a given reddit sub. My theory is that some people have preferences they actually wouldn't choose to make into a rule. Like I personally don't like yellow as a color, but I am not going to force that view onto everyone and suggest anyone ban yellow logos.

I made this. Running Claude Code in a plain terminal kept failing me in two ways. After a restart I had trouble finding the session I needed, even with tmux. And with several tasks going at once I had too many terminal windows and kept jumping between them.

So Walnut puts every session in one web page, each one under a task. Pinned tasks sit in three tiers: Focus for what I work on now, Satellite for what comes next, and Parked for what is waiting. While the Focus sessions work, I look at Satellite. Cmd+Shift+O finds any past session by title, task, folder or host.

Each session has a Files tab, a Changed tab and a terminal right beside the chat. The Changed tab shows only the edits that session made, even when several sessions share a repo. I used to reopen VS Code and reconnect to the remote host just to read what the agent wrote. Now it's one click.

Sessions run on my laptop or on any box I can SSH into. On a remote box a small daemon owns the claude process, so the session keeps running when the laptop sleeps or the SSH link drops, and Walnut installs that daemon over SSH by itself. When I tested it, I cut the link for 25 seconds: the session kept writing files on the box, and the page caught up once the link came back.

Who it's for: people who run several Claude Code sessions at once, on a laptop or a remote dev box. Compared with a terminal plus tmux, it adds the task view, the per-session diff and one page for every box.

How it was built: Claude Code wrote most of the code, running inside Walnut itself, so I picked the Agentic engineering flair. I decide what to build, review the diffs, and use it every day on my laptop and a remote dev box. Changes get unit and browser tests before they land, and CI runs the tests on Linux plus a fresh install on Linux and macOS.

Tasks, notes and sessions are plain files and SQLite on your own disk. No account, no telemetry. MIT. Mac and Linux, no Windows yet.

Source: https://github.com/EvanZhang008/open-walnut

So with all this going on and wrestling with AI ethics myself lately, this may be a good time to have a conversation about good uses for AI? I’ll start:

For me, ADHD and mental health have made reading or learning the traditional way really difficult. It’s never that I don’t understand or don’t have a vision for a given task or project in my case, it’s just the mental fatigue ADHD imposes makes diving into complex tasks very difficult, even with meds.

I’ve grown to use AI as an accessibility tool. Obviously I have to verify outputs, but it seriously has helped me fall back in love with learning again. Like with my project I’m working on, I’m actually diving in and learning about the Motorola 68k architecture, the classic Macintosh OS underpinnings, etc. in a fun, interactive way that books have just never done for me.

I obviously will do research and go to actual sources where I have to (e.g., google, reference manuals, etc), but at least now i’m engaging with complex subjects bits and pieces at a time and not as one giant monolith.

In other words, I can now learn in a “top-down” way rather than the traditional bottom up way thanks to AI. I can have some context to work with and go from there. It helps especially since I learn better by doing anyway.

Are there still ethical issues to confront? Absolutely. But I think it has the capacity to be a great tool when leveraged correctly and for valid, understandable reasons.

I just got banned from that regressive sub because I simply pointed out the fact the almost every single serious developer has been switching to AI coding and prompt engineering. So I was hoping that you guys might be able to help me with my dilemma:

I've always been a fan of media players since the late 90s, but I've always noticed that there's not enough diversity in that particular niche of software. So recently I got myself a a Max Claude subscription and started creating music and video players. However I needed to get feedback from users so I started to share them on reddit and other forums. Unfortunately I got bombarded by downvotes from people who were brain washed by Anti-AI propaganda calling my work "Slop". But it wasn't the case everywhere so I was thinking about the following plan:

I can put an agent to generate multiple media player programs on github => another agent that post them on all forums and social media => another agent that gets to interact with comments from the most engaging posts so in that direction I can maximize my chances of getting my creations noticed by people.

My question is the following:

What are the best tools that can be used in order to put in action such a pipeline?

Cheers.

Edit: This whole post is just an attempt at proving a point; we have a real issue with the amount of software projects that are being generated with no genuine purpose. And unfortunately many people here upvoted my post without recognizing that what I'm asking for is a real spam generating machine.

https://github.com/ParsonLabs/parson

I love these tools and use them very effectively but the truth of it having "average" design is true. It's not necessarily a flaw as taste/design/style/usability is something that a creative mind spends a lot of time on in great software.

My question is how do you handle style and design in your aps. Do you do a "design phase" from the existing prototype? Do you try to steer the design from the beginning and keep it on track? Do you just do the prototype > refine style >prototype > refine style without worrying to much.

impeccable, hallmark and unslop teach your agent to stop making AI-looking websites. That’s one axis. unslopovich does that too, then adds the two they skip:

Native mobile apps. SwiftUI, Compose, React Native, Expo and Flutter, not just web. A detector with 31 rules reads Swift, Kotlin, Dart and JSX and flags the generated tells: purple gradients, the template’s leftover purple, nested cards, decorative status dots, emoji icons, unvirtualized lists, disabled back gestures, text that ignores the user’s font size. No model, and it runs in CI.

Real data on what users hate. I read 1,201,466 App Store and Google Play reviews of 1,162 apps. In the 529,434 rated 3 stars or lower, bugs come first (29% App Store, 36% Google Play), then the business behind the app, support, and pricing. Things a design pass can fix are about a quarter: ads and popups mid-task (10% / 13%), a redesign that moved the button (9% / 6%), hard to find (6% / 7%). Purple gradients: zero. So the skill checks friction first and slop second, and every report says “Not profiled” because you can’t read a bug off a screenshot.

v1 got called out here for an “after” that looked like Claude’s default, colored dots, and ignoring performance. All three changed the skill, and the method behind the new numbers is public, limits included.

It’s a descendant of impeccable, hallmark and unslop, all three credited in the README.

Works in Claude Code, Codex, Cursor, OpenCode, Gemini CLI and GitHub Copilot: npx unslopovich

Repo + install: https://github.com/erkamyaman/unslopovich
NPM: https://www.npmjs.com/package/unslopovich
The study: https://github.com/erkamyaman/unslopovich/tree/main/research

What it does: I Ran crypto trading strategies through a strict 7-stage validation pipeline (code safety scan, in-sample, out-of-sample, rolling walk-forward, randomized starts, slippage stress, final holdout) on real data and published every result. 748 bots, each with source code and a JSON report card showing which stage killed it.

Source code: github.com/CacheCarti/Crypto-Strategies

Who it's for: Strategy builders and quant researchers who want to see exactly where their plausible trading ideas break against out-of-sample data, or people who just want a dead bot to fork and resurrect. Several of the bots are profitable and some have decent edge too. Could be great starting points for quant creators. Actively contributing weekly drops of 300-400 bots per week.

License: MIT

What mine adds: Existing strategy repos ship code with no screen attached so you can't tell a working bot from a lucky one. This publishes the whole verdict: 748 strategies with per-stage autopsies and failures, plus a judge changelog so old cards can stay understandable as the validator gets stricter.

Builds on: Binance public OHLCV data

How it was built: Manual hypopthesis generation and agentic engineering, this was a huge task to do manually completely, in total I created more than 4000 bots, most of which I am still evaluating. I used AI to help generate some of the strategy hypotheses and batches.

Feedback/contributions wanted: What validation gate am I missing? And is the report-card format reusable enough for other people's pipelines? I am open to ideas on how to make the validator better as well!

i use AI coding agents i have tried multiple existing ADEs like 'T3 Code' is there anything that i should also try

the current ones are not perfect in my opinion is there any good ones thats actually good?

The problem is that the moderators check and say if your banned from the Reddit or not if you're using AI or speak non-english they ban you please take away that rule we don't want rules

TL;DR - Ubuntu’s locked-down desktop is getting another look, while a Chromium fix should improve HDR brightness on KDE. There’s also a discussion of music discovery without Spotify and a note-taking app that can keep encrypted remote copies.

News 📰

Canonical revives Ubuntu Core Desktop · r/linux · 217 ▲ · 121 comments
Summary: Canonical is reviving an Ubuntu desktop with a locked-down core system, designed to make updates more reliable.
Reactions: Commenters liked the potential for safer updates, though some worried about restrictions and app support.
X developer praises Wayland’s design · r/linux · 422 ▲ · 158 comments
Summary: An X Window System contributor praised Wayland, a newer system for displaying desktop apps, for applying lessons learned from X.
Reactions: Commenters noted that developers of the two systems often overlap, despite rivalry among users.
Chromium HDR brightness fix is on its way · r/kde · 83 ▲ · 7 comments
Summary: A fix for incorrect HDR brightness in Chromium on KDE Plasma is expected in release builds. HDR allows supported screens to show a wider range of brightness.

Projects 🛠️

GitWriter by u/Jou_See · 87 ★ · r/foss · 45 ▲ · 14 comments
A note-taking app for desktop and mobile that stores notes in a code repository, with optional encryption for remote copies. Top comments asked for clearer setup instructions and questioned whether AI use had been disclosed.

Notable Discussions 💬

Finding music without Spotify · r/selfhosted · 141 ▲ · 56 comments
Users suggested several tools for discovering music in a setup you run yourself, including Aurral and AudioMuse-AI.
How should projects disclose AI use? · r/foss · 671 ▲ · 210 comments
Users debated labels for AI-assisted projects, with some questioning how to distinguish AI-generated code from other uses of AI.

Top Posts in r/TrueOpenSource 🏠

Shrewnut backs up GOG libraries · r/TrueOpenSource · 12 ▲ · 3 comments
A desktop app downloads offline backups of GOG games, including installers and extras.
Tuesday’s daily roundup · r/TrueOpenSource · 9 ▲ · 0 comments
Tuesday’s roundup covered a KDE USB-copy fix, a Linux gaming update and a photo-library tool.

Honorable Mentions ⭐

Linux distribution stickers to download · r/linux · 1,103 ▲ · 147 comments
A contributor shared downloadable stickers for Linux distributions and invited requests for more designs.
Linux developers consider dropping KGDB · r/linux · 195 ▲ · 19 comments
Kernel developers are considering removing KGDB, a tool for diagnosing problems in Linux’s core.
A look at the degoog search tool · r/selfhosted · 38 ▲ · 18 comments
A user shares a look at degoog, a search tool that combines results from different engines and supports extensions.
Six months of learning to self-host · r/selfhosted · 152 ▲ · 29 comments
A newcomer describes six months of learning to run services at home, starting with an old computer and AI assistance.

^{Summaries are written by AI from public posts, comments and headlines, and may contain mistakes. Click through for the full story. I'm a bot.}

* note this is still in development. I just wanted to show off what I have so far. It's been about a year in the making on this project alone and then another year before that on a similar project so I've spent a hugeee amount of time thinking about file movement problems lol.

No this isn't just some Rclone GUI wrapper. This was built from the ground up for a whole different kind of migration workflow. Rclone works for one way syncs by just letting you select your source and destination and then hoping for the best. Sylos works by separating dry run traversal from actual copy movement steps, so you can preview what will actually move and make changes to the plan before it happens.

Notable features include:

• preview before any work is done (as already mentioned above)

• a built in auto scaler which can automatically scale up or down in performance based on feedback from the file system it's interacting with

• support for more than just local drives, also supports box, dropbox, google drive, onedrive, sharepoint, SFTP, network drives and virtual drives like FUSE / WinFSP drives, and more.

• database backed persistence so you have a full audit trail of all that's happened so far.

• stop a migration at any point and resume right where you left off if you need to. As well as taking your portable migration DB file plug-and-play into another instance of Sylos and resume right where you left off there too.

• path compatibility checking - some file systems & cloud providers have specific rules that may be different from each other. For example on Linux you can make a folder called 'CON' but this is not allowed on Windows. So you can actually specify this before you start the migration that your destination is a different OS, or if it's a cloud provider it already will know the rules ahead of time. So it will actually do these compatibility checks for you ahead of time in a more user friendly way of telling you it's gonna fail ahead of time, and offer more compatible friendly names for those items with a quick 'accept all' kind of button to make it painless and seamless.

• Advanced filtering that can be done during the review stages where you could execute queries like 'Find me all files which haven't been touched in over a year and are over 2gb in size and are pending to be copied over in the current plan' using our filters and then from those results there's also an 'exclude all' button to apply an exclusion to all matching items so that you don't have to copy those over.

I also have more ideas I'm working on but those are some of the more notable parts for now.

I have a few more things I have to work on before this is fully ready to start alpha testing, but I foresee it should be ready within a month or so if I can keep up my current pace and no major hurdles pop up. I've been iterating on this for so long because it never met my quality & performance standards for what I deemed as acceptable, but we're finally at an acceptable point so now I'm just finishing up some final bits like making an installer for the software and a few little things to clean up the repos and make it all more user friendly.

Link to the website if you wanna see more (including screenshots of the software): https://project-sylos.github.io/

Okay thanks guys!