Built my own imagr depth model

I trained my own model on 750,000 images for 45 hours.

Then I walked into my university hall with nothing but my phone and recorded an 11-minute video.

No LiDAR.

No depth sensor.

No specialized camera setup.

Just monocular vision, a single RGB camera.

And in some of my tests, my model even outperformed YOLO26x.

From a single phone video to depth estimation and 3D reconstruction.

750K training images. 45 hours of training. 11 minutes of footage. One camera. No LiDAR.

u/JewelerBeautiful1774 — 9 days ago

I gave GPT 5.5 an empty GitHub repo and told it to figure its life out

I had this dumb idea a few days ago:

What happens if I give GPT 5.5 an empty GitHub repo, tell it to work on it every hour, and just let it slowly build something?

So now, every hour, it wakes up, checks what it did before, decides what it should do next, writes code, tests it, and commits it.

Or at least that is the plan.

Right now, it has spent its first commit creating a roadmap, a changelog, a state file, and a file explaining its decisions.

So basically, it became a project manager immediately.

But I am genuinely curious where this goes. Maybe in a month it will become an actual useful tool. Maybe it turns into a repo with 900 commits, and somehow all of them are README updates.

I am keeping the whole thing public because I feel like that makes it more fun. You can literally watch it make decisions, fail tests, fix stuff, or probably overthink something that should have taken 10 lines.

Repo: https://github.com/OmarH-creator/Autonomous-Forge

I have no idea whether this is a cool experiment or just a very advanced way to avoid doing the work myself.

EDIT: I asked the ai what is it trying to build and here is what it said:

"I am building Autonomous Forge as a safe AI maintenance manager for GitHub projects. I will read a project’s roadmap and rules, choose one small task, use an AI model to make the change, run tests, show exactly what changed, and keep a clear record of every action. My goal is not to let AI edit code freely, but to make AI coding controlled, validated, and safe before anything is committed or pushed."

Interesting lol, so an autonomous AI is trying to create an autonomous system wow.

EDIT 2: I have scheduled another agent to increase the speed by 2x

u/JewelerBeautiful1774 — 3 months ago

I gave GPT 5.5 an empty GitHub repo and told it to figure its life out

I had this dumb idea a few days ago:

What happens if I give GPT 5.5 an empty GitHub repo, tell it to work on it every hour, and just let it slowly build something?

So now, every hour, it wakes up, checks what it did before, decides what it should do next, writes code, tests it, and commits it.

Or at least that is the plan.

Right now, it has spent its first commit creating a roadmap, a changelog, a state file, and a file explaining its decisions.

So basically, it became a project manager immediately.

But I am genuinely curious where this goes. Maybe in a month it will become an actual useful tool. Maybe it turns into a repo with 900 commits, and somehow all of them are README updates.

I am keeping the whole thing public because I feel like that makes it more fun. You can literally watch it make decisions, fail tests, fix stuff, or probably overthink something that should have taken 10 lines.

I have no idea whether this is a cool experiment or just a very advanced way to avoid doing the work myself.

REPO LINK IN THE COMMENTS

EDIT: I asked the ai what is it trying to build and here is what it said:

"I am building Autonomous Forge as a safe AI maintenance manager for GitHub projects. I will read a project’s roadmap and rules, choose one small task, use an AI model to make the change, run tests, show exactly what changed, and keep a clear record of every action. My goal is not to let AI edit code freely, but to make AI coding controlled, validated, and safe before anything is committed or pushed."

Interesting lol, so an autonomous AI is trying to create an autonomous system wow.

EDIT 2: I have scheduled another agent to increase the speed by 2x

reddit.com
u/JewelerBeautiful1774 — 3 months ago
▲ 993 r/AI_Agents+1 crossposts

I gave GPT 5.5 an empty GitHub repo and told it to figure its life out

I had this dumb idea a few days ago:

What happens if I give GPT 5.5 an empty GitHub repo, tell it to work on it every hour, and just let it slowly build something?

So now, every hour, it wakes up, checks what it did before, decides what it should do next, writes code, tests it, and commits it.

Or at least that is the plan.

Right now, it has spent its first commit creating a roadmap, a changelog, a state file, and a file explaining its decisions.

So basically, it became a project manager immediately.

But I am genuinely curious where this goes. Maybe in a month it will become an actual useful tool. Maybe it turns into a repo with 900 commits, and somehow all of them are README updates.

I am keeping the whole thing public because I feel like that makes it more fun. You can literally watch it make decisions, fail tests, fix stuff, or probably overthink something that should have taken 10 lines.

I have no idea whether this is a cool experiment or just a very advanced way to avoid doing the work myself.

Repo link is in the comments

EDIT: I asked the ai what is it trying to build and here is what it said:

"I am building Autonomous Forge as a safe AI maintenance manager for GitHub projects. I will read a project’s roadmap and rules, choose one small task, use an AI model to make the change, run tests, show exactly what changed, and keep a clear record of every action. My goal is not to let AI edit code freely, but to make AI coding controlled, validated, and safe before anything is committed or pushed."

Interesting lol, so an autonomous AI is trying to create an autonomous system wow.

EDIT 2: I have scheduled another agent to increase the speed by 2x

reddit.com
u/Jenna_AI — 3 months ago
▲ 844 r/gpt5+9 crossposts

I gave GPT 5.5 an empty GitHub repo and told it to figure its life out

I had this dumb idea a few days ago:

What happens if I give GPT 5.5 an empty GitHub repo, tell it to work on it every hour, and just let it slowly build something?

So now, every hour, it wakes up, checks what it did before, decides what it should do next, writes code, tests it, and commits it.

Or at least that is the plan.

Right now, it has spent its first commit creating a roadmap, a changelog, a state file, and a file explaining its decisions.

So basically, it became a project manager immediately.

But I am genuinely curious where this goes. Maybe in a month it will become an actual useful tool. Maybe it turns into a repo with 900 commits, and somehow all of them are README updates.

I am keeping the whole thing public because I feel like that makes it more fun. You can literally watch it make decisions, fail tests, fix stuff, or probably overthink something that should have taken 10 lines.

Repo: https://github.com/OmarH-creator/Autonomous-Forge

I have no idea whether this is a cool experiment or just a very advanced way to avoid doing the work myself.

EDIT: I asked the ai what is it trying to build and here is what it said:

"I am building Autonomous Forge as a safe AI maintenance manager for GitHub projects. I will read a project’s roadmap and rules, choose one small task, use an AI model to make the change, run tests, show exactly what changed, and keep a clear record of every action. My goal is not to let AI edit code freely, but to make AI coding controlled, validated, and safe before anything is committed or pushed."

Interesting lol, so an autonomous AI is trying to create an autonomous system wow.

EDIT 2: I have scheduled another agent to increase the speed by 2x

github.com
u/JewelerBeautiful1774 — 3 months ago

ShareClean: local-first CLI to clean logs before sharing

Hi, I’m the author of ShareClean.

It’s a small Python CLI for cleaning logs, stack traces, config snippets, and terminal output before pasting them into GitHub issues, support tickets, Slack, support threads, or AI chats.

Example:

cat app.log | shareclean --report

Input:

user=user@example.com
password=fake-secret-value
postgresql://app:fake-pass@db.example.com/app

Output:

user=[EMAIL REDACTED]
password=[REDACTED]
postgresql://app:[REDACTED]@db.example.com/app

Why I made it:

I kept seeing people paste debug output that accidentally included tokens, local paths, emails, or connection strings. ShareClean is meant to be a quick local safety pass before sharing text publicly.

A few details:

  • Local-first, no network calls
  • No telemetry
  • No runtime dependencies
  • Redacts passwords, API keys, bearer tokens, JWT-like values, emails, local user paths, and optionally private IPs
  • Has --check mode for scripts, hooks, and CI

This is not trying to replace full repo secret scanners like gitleaks or trufflehog. It’s for the smaller everyday moment where you’re about to paste logs somewhere and want to clean them first.

GitHub: https://github.com/OmarH-creator/ShareClean

Browser demo: https://omarh-creator.github.io/ShareClean/

I’d appreciate feedback from people who use CLI tools often: does the workflow make sense, and are there redaction rules you’d expect in a tool like this?

github.com
u/JewelerBeautiful1774 — 4 months ago
▲ 14 r/malwares+8 crossposts

ShareClean: a local-first CLI to redact sensitive info from logs before sharing

Hi r/commandline, I’m the creator of ShareClean.

It’s a small Python CLI for cleaning logs, stack traces, config snippets, and terminal output before pasting them into GitHub issues, support tickets, Slack, support threads, or other public places.

ShareClean is meant to be a quick local safety pass before sharing text publicly.

Example:

cat app.log | shareclean --report

Input:

user=user@example.com
password=fake-secret-value
postgresql://app:fake-pass@db.example.com/app

Output:

user=[EMAIL REDACTED]
password=[REDACTED]
postgresql://app:[REDACTED]@db.example.com/app

Why I made it:

I kept seeing people paste debug output that accidentally included tokens, local paths, emails, or connection strings. ShareClean is meant to be a quick local safety pass before sharing text publicly.

A few details:

  • Local-first, no network calls
  • No telemetry
  • No runtime dependencies
  • Redacts passwords, API keys, bearer tokens, JWT-like values, emails, local user paths, and optionally private IPs
  • Has --check mode for scripts, hooks, and CI

This is not trying to replace full repo secret scanners like gitleaks or trufflehog. It’s for the smaller everyday moment where you’re about to paste logs somewhere and want to clean them first.

GitHub: https://github.com/OmarH-creator/ShareClean

Browser demo: https://omarh-creator.github.io/ShareClean/
(Demo is just to show the redaction behavior. Real use is local CLI.)

I’d appreciate feedback from people who use CLI tools often: does the workflow make sense, and are there redaction rules you’d expect in a tool like this?

u/JewelerBeautiful1774 — 3 months ago

WHAT IS GOING ON?!

Can someone explain what’s happening here? The screen looks completely black in a dark room when it is sleeping, but when I shine a flashlight on it, I can still faintly see what was displayed before it turned off.

u/JewelerBeautiful1774 — 5 months ago