u/Odd_Incident_7575

The US government is trying to deprive us of our local and open source AI. They are planning to pass a law that requires a permit to run local AI.

This is obviously stupid and we need to fight against it. There's an ongoing petition to protect local AI called Right to Intelligence (righttointelligence.org) with 1,000+ signatures.

I am not part of the organization, just trying to protect a valuable resource.

Sign it and spread the word!

P.S: I am aware that the website is down for some people, I have contacted the organizer and he is actively working on a fix.

The US government is trying to deprive us of our local and open source AI. They are planning to pass a law that requires a permit to run local AI.

This is obviously stupid and we need to fight against it. There's an ongoing petition to protect local AI called Right to Intelligence (righttointelligence.org) with 1,000+ signatures.

I am not part of the organization, just trying to protect a valuable resource.

Sign it and spread the word!

P.S: I am aware that the website is down for some people, I have contacted the organizer and he is actively working on a fix.

I'm currently building my own open-source and local coding agent. Right now the features I'm adding are just based off my personal preferences.

Wondering what the rest of the dev community wants out of its coding agents?

Coming soon @ gitlab.com/arjunkshah/raccoon

I ran a comparison of compression methods on about 10K prompts across different task types. Thought the results might be useful.

Methods: truncation, sliding window, LLM summarization, top-K retrieval, MMR, a ModernBERT classifier, and my own small learned policy.

Key findings:

- Truncation is worse than people think. At 50% reduction, oracle recall (does the answer miss info from dropped content?) drops to 62%. You save tokens but answers degrade noticeably.

- LLM summarization gives the best quality but the extra latency and LLM call cost eat into the savings. Only makes sense for very long prompts or batch processing.

- Query-awareness matters more than model size. Knowing what the user is asking lets you make surgical keep/drop decisions.

Full numbers: supercompress.dev/benchmarks.

https://preview.redd.it/e6fgwqjrg2bh1.png?width=1117&format=png&auto=webp&s=96b0a9542a7e05507cec208fa9ed754f12138795

A few weeks ago, OpenAI announced they were launching something that would make Codex shortcuts a whole lot better (https://x.com/OpenAIDevs/status/2071639953927438440). On June 29, at the AI Engineer World Fair, someone spotted a prototype in person (https://x.com/ai\_for\_success/status/2071846127956308441/photo/1).

I've had a Github account for the past 3 years and have been a pretty good user. One sunny day, however, my agent decided to go rogue and made like 500 PRs.

My account got hard flagged by spam bot and reported. I opened a support ticket but no one has responded and I am slowly losing hope.

This account has my life's work on it and I really need to get it back - is there any other way?

My account username is arjunkshah and the ticket ID is 4522157.

Surprising that such a massive org with practically unlimited OpenAI credits and some of the world's best engineers couldn't even make a good frontend for their mobile app.

This looks like one-shot vibe coded slop.

According to Peter it was "built by the community" (https://x.com/steipete/status/2071972239734616146) and OpenAI just sponsors the project, but I think it's still pretty crazy considering the scale and importance of the project.

https://preview.redd.it/gdisu6a32hah1.png?width=945&format=png&auto=webp&s=4bb749e64f1335209255416d5a358fe7ddfcbefa

https://preview.redd.it/kmywacw32hah1.png?width=945&format=png&auto=webp&s=ea6da44e84e6b99485c178206991dc78d9733182

My name is Arjun, I'm 14, and I've been building this project called Loopy for about two weeks now. The goal is to give teams of AI agents the ability to work fully autonomously, 24/7.

I started with just one coding agent and a Nebius-powered AI manager that tested, updated Linear, pushed to Github, and sent the user emails via Gmail.

I am currently trying to expand into a full team that finds errors, adds them to a Jira-style management system, and executes upon that, working forever rather than stopping at a certain time.

The project is fully open-source and runs entirely locally on your laptop, so no data ever comes to me. It plugs into your existing coding agents so you don't pay a penny beyond your coding subscription.

Would love to get your input on whether this is even a good idea, and if you could test the product and give me ideas that would make my day.

The link is in the top comment.

I submitted my Codex for OSS application 16 days ago, and I've gotten no response yet.

Everywhere I go on X or Reddit, I see people sharing they've been accepted. Meanwhile, I haven't gotten a response yet.

Wonder if they are facing heavy loads? Has anybody else encountered a similar issue or been accepted?

If so, how long did it take the team to get back to you?

Thanks!

Connected Alpaca to Codex and used Paper trading to give it $100,000. Told Codex it had 24 hours to double the money and that it could manage and make trades in whatever manner it pleased, so long as they were in the 1000s.

It's been about ten minutes, and the account is now down $1k. It doesn't look too good for Codex, but I'll check back at the end of the day and see if it had any luck.

https://preview.redd.it/s6ghg7jwd45h1.png?width=1566&format=png&auto=webp&s=d42ca5c1f69e19564a63939939c38c0e344ec1ac

Hi Everyone,

My name is Arjun and I'm 14. I like building websites, but due to the nature of AI-generated code, the frontends were never very nice. I tried prompting and giving site inspo, but that took a long time, wasted tokens, and didn't even work half the time.

To fix that, I built design-skill: https://github.com/arjunkshah/design-skill.git, an open-source skill that helps AI generate beautiful frontends.

Please try it out and make a PR or drop a comment with some feedback; I really want to improve it! If it seems pretty cool, then do drop a star!

Regards,
Arjun