u/Bubbly-Phone702

You can also notice that all of this is happening gradually and intensifying over time, because you are not supposed to experience it all at once. https://www.reddit.com/r/conspiracy/comments/1tjrftz/sodid_anyone_see_this_the_other_day_on_fox/

your opinion?

like there might be nothing and then a sharp, noticeable, bright, short flash.

What's even possible in occultism, considering Kabbalah and other left-handed practices. Considering real, visible projections, personally.

DELIGHT – self-hosted AI engineering autopilot: local LLM + browser farm + repo graph + P2P compute

TL;DR: Built a local "OS for AI agents" that scans your entire repo into a live graph (Worm), routes tasks between local Qwen, headless ChatGPT browser sessions via Tor/antidetect, and OpenRouter — all from one Control Room. No cloud required. Python, react + GO. later transition partially to Rust

What it does:

• Worm (Go) — scans repo into a semantic graph: files, dirs, docs, configs, run artifacts + edges (imports, depends_on, patched_by_run). LLM sidecar annotates every node with summary/intent/risk/score
• Hybrid Router — routes by task type: simple → local Qwen 3.5-9B (~200ms TTFT), complex → OpenRouter (GPT-5/Claude), web-dependent → BrowserGPT
• Browser Farm (Camoufox + Playwright + Tor) — pool of antidetect headless browsers running real ChatGPT guest sessions with rotating IPs/fingerprints. Talks to any web AI as an invisible human
• Workspace/Test Loop — Orchestrator breaks task into DAG (DOC_ANALYSIS → CODE_ANALYSIS → CODE → TEST → REVIEW → DOCUPDATE), applies patches, runs tests, feeds results back into Worm graph
• Control Room UI — React dashboard: runs, sessions, workflows, Worm impact map, route settings, compute cycles per backend
• P2P layer (roadmap) — nodes share LLM/browser/Worm slots, DAG Ledger tracks compute, DePIN-style economy

Why not just OpenHands/Devin:

• Fully local, your code never leaves your machine
• Repo-first: Worm graph knows what everything does and what a patch will break before applying it
• Browser farm bypasses API limits by talking to web AIs directly

Status: Worm kernel stable (805 nodes/1636 edges on real repo), local Qwen running, browser farm working, Control Room UI in progress.

Still in development. The website will be released soon, and the repository will be open for anyone interested to review the code. Open. Free.

MORE info about project -- https://pastebin.com/t614NcV8

be humble you bot. Or. If you play, play in such a way that you don't regret it.

question for the gifted. I'm just curious

View Poll

I know that I’m okay. But maybe because of my HSP traits, I experience these emotional swings — if I’m not deeply immersed in a process or in my own inner world, it’s hard for me to genuinely enjoy the little things around me.

DELIGHT – self-hosted AI engineering autopilot: local LLM + browser farm + repo graph + P2P compute

TL;DR: Built a local "OS for AI agents" that scans your entire repo into a live graph (Worm), routes tasks between local Qwen, headless ChatGPT browser sessions via Tor/antidetect, and OpenRouter — all from one Control Room. No cloud required. Python, react + GO. later transition partially to Rust

What it does:

• Worm (Go) — scans repo into a semantic graph: files, dirs, docs, configs, run artifacts + edges (imports, depends_on, patched_by_run). LLM sidecar annotates every node with summary/intent/risk/score
• Hybrid Router — routes by task type: simple → local Qwen 3.5-9B (~200ms TTFT), complex → OpenRouter (GPT-4o/Claude), web-dependent → BrowserGPT
• Browser Farm (Camoufox + Playwright + Tor) — pool of antidetect headless browsers running real ChatGPT guest sessions with rotating IPs/fingerprints. Talks to any web AI as an invisible human
• Workspace/Test Loop — Orchestrator breaks task into DAG (DOC_ANALYSIS → CODE_ANALYSIS → CODE → TEST → REVIEW → DOCUPDATE), applies patches, runs tests, feeds results back into Worm graph
• Control Room UI — React dashboard: runs, sessions, workflows, Worm impact map, route settings, compute cycles per backend
• P2P layer (roadmap) — nodes share LLM/browser/Worm slots, DAG Ledger tracks compute, DePIN-style economy

Why not just OpenHands/Devin:

• Fully local, your code never leaves your machine
• Repo-first: Worm graph knows what everything does and what a patch will break before applying it
• Browser farm bypasses API limits by talking to web AIs directly

Status: Worm kernel stable (805 nodes/1636 edges on real repo), local Qwen running, browser farm working, Control Room UI in progress.

Still in development. The website will be released soon, and the repository will be open for anyone interested to review the code. Open. Free.

DELIGHT – self-hosted AI engineering autopilot: local LLM + browser farm + repo graph + P2P compute

TL;DR: Built a local "OS for AI agents" that scans your entire repo into a live graph (Worm), routes tasks between local Qwen, headless ChatGPT browser sessions via Tor/antidetect, and OpenRouter — all from one Control Room. No cloud required. Python, react + GO. later transition partially to Rust

What it does:

• Worm (Go) — scans repo into a semantic graph: files, dirs, docs, configs, run artifacts + edges (imports, depends_on, patched_by_run). LLM sidecar annotates every node with summary/intent/risk/score
• Hybrid Router — routes by task type: simple → local Qwen 3.5-9B (~200ms TTFT), complex → OpenRouter (GPT-4o/Claude), web-dependent → BrowserGPT
• Browser Farm (Camoufox + Playwright + Tor) — pool of antidetect headless browsers running real ChatGPT guest sessions with rotating IPs/fingerprints. Talks to any web AI as an invisible human
• Workspace/Test Loop — Orchestrator breaks task into DAG (DOC_ANALYSIS → CODE_ANALYSIS → CODE → TEST → REVIEW → DOCUPDATE), applies patches, runs tests, feeds results back into Worm graph
• Control Room UI — React dashboard: runs, sessions, workflows, Worm impact map, route settings, compute cycles per backend
• P2P layer (roadmap) — nodes share LLM/browser/Worm slots, DAG Ledger tracks compute, DePIN-style economy

Why not just OpenHands/Devin:

• Fully local, your code never leaves your machine
• Repo-first: Worm graph knows what everything does and what a patch will break before applying it
• Browser farm bypasses API limits by talking to web AIs directly

Status: Worm kernel stable (805 nodes/1636 edges on real repo), local Qwen running, browser farm working, Control Room UI in progress.

Still in development. The website will be released soon, and the repository will be open for anyone interested to review the code. Open. Free.

DELIGHT – self-hosted AI engineering autopilot: local LLM + browser farm + repo graph + P2P compute

TL;DR: Built a local "OS for AI agents" that scans your entire repo into a live graph (Worm), routes tasks between local Qwen, headless ChatGPT browser sessions via Tor/antidetect, and OpenRouter — all from one Control Room. No cloud required. Python, react + GO. later transition partially to Rust

What it does:

• Worm (Go) — scans repo into a semantic graph: files, dirs, docs, configs, run artifacts + edges (imports, depends_on, patched_by_run). LLM sidecar annotates every node with summary/intent/risk/score
• Hybrid Router — routes by task type: simple → local Qwen 3.5-9B (~200ms TTFT), complex → OpenRouter (GPT-4o/Claude), web-dependent → BrowserGPT
• Browser Farm (Camoufox + Playwright + Tor) — pool of antidetect headless browsers running real ChatGPT guest sessions with rotating IPs/fingerprints. Talks to any web AI as an invisible human
• Workspace/Test Loop — Orchestrator breaks task into DAG (DOC_ANALYSIS → CODE_ANALYSIS → CODE → TEST → REVIEW → DOCUPDATE), applies patches, runs tests, feeds results back into Worm graph
• Control Room UI — React dashboard: runs, sessions, workflows, Worm impact map, route settings, compute cycles per backend
• P2P layer (roadmap) — nodes share LLM/browser/Worm slots, DAG Ledger tracks compute, DePIN-style economy

Why not just OpenHands/Devin:

• Fully local, your code never leaves your machine
• Repo-first: Worm graph knows what everything does and what a patch will break before applying it
• Browser farm bypasses API limits by talking to web AIs directly

Status: Worm kernel stable (805 nodes/1636 edges on real repo), local Qwen running, browser farm working, Control Room UI in progress.

Still in development. The website will be released soon, and the repository will be open for anyone interested to review the code. Open. Free.

No, bro, they're afraid of me, they want to adapt to me, or they want to suppress me, always. I'm a 20-year-old guy. They hide their hatred for me because I'm too kind to everyone and because I'm pure. I don't lie, I don't need it. There's dirt all around. They don't want good, they want dirt. Your stories about everyone liking you are either a lie, or we're on different levels, or you're not telling the whole story, or something else.

Gaslighting, hatred, lies, pathologies. If only you were pure and kind in this filth. It cuts you, literally physically. Why do they all hate me? Yes, I'm not like them, but I'm trying to be better. My very presence changes the space.

Why are these idiots gaslighting you, why are they saying you're sick? Yes, they will never become like me. And in the next life too.

I don't think it's possible to come up with brilliant ideas while remaining in your linear mind, because changes appear at the intersection of forms - sharp angles - which are the peak speeds of the brain - which people suppress with drugs and other things and by throwing stigma on them.

You can have as much IQ as you want but still be a dumbass, don't be stupid.

even taking into account that the world law always divides everything into groups and parts and in fact there will be those who understand and those who do not.

When you create a global resource, there can be a lot of problems. Perhaps you know what's important to ensure and calculate before publishing, such as laws and other issues, if the project is decentralized, has its own economics, and is open source?