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Connecting individuals with innovation: Emancipating and Truly Federalizing Private Intelligence

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fuzzy-mittenz  updated a collection 5 days ago
SotA-GGUF
fuzzy-mittenz  updated a collection 5 days ago
Moltbot local assets "StokeBot"
fuzzy-mittenz  updated a collection 6 days ago
Moltbot local assets "StokeBot"
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fblgit 
posted an update 4 days ago
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107
I recently built https://github.com/fblgit/eLLMulator
A software emulator for Claude Code.

eLLMulator approach:

LLM agents become your software components. Each agent deeply studies its assigned source file, then interacts with other agents via synchronous MCP tool calls that mirror real function calls. The call graph emerges naturally from code control flow, producing traces that capture not just what happened, but why each component behaved as it did.

The Claude Agent SDK provides sessions, MCP provides the bus. The code itself is the routing layer.

https://github.com/fblgit/eLLMulator
fuzzy-mittenz 
updated 2 collections 5 days ago
fuzzy-mittenz 
updated a collection 6 days ago
Q-bert 
submitted a paper to Daily Papers 14 days ago
Q-bert 
authored a paper 20 days ago
suayptalha 
authored a paper 20 days ago
Goekdeniz-Guelmez 
submitted a paper to Daily Papers about 1 month ago
Goekdeniz-Guelmez 
authored a paper about 1 month ago
darkc0de 
posted an update about 2 months ago
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9646
1440GB of VRAM is incredibly satisfying 😁
  • 17 replies
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mitkox 
posted an update about 2 months ago
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5485
My USB charger has a Blackwell GPU and 128GB RAM.
What. A. Time. To. Be. Alive.
People in Sofia: “It’s freezing.”
Me: sitting next to 3kW of space AI heaters on my desk 👀
1x GLM-5, 2x MiniMax-M2.5, 1x Qwen3 Coder Next; all on single Aibrix/K8s cluster
  • 6 replies
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Tonic 
posted an update about 2 months ago
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3538
🤔 Who would win ?

- a fully subsidized ai lab
OR
- 3 random students named
kurakurai ?

demo : Tonic/fr-on-device

if you like it give the demo a little star and send a shoutout to : @MaxLSB @jddqd and @GAD-cell for absolutely obliterating the pareto frontier of the french language understanding .
  • 4 replies
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mitkox 
posted an update about 2 months ago
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134,614 tok/sec input prefil max
1031 tokens/sec out gen max

At these local AI speeds, there is no User Interface for humans. My human UI is the Radicle distributed Git issues queue

On my GPU workstation:
- Z8 Fury G5 4x A6000
- MiniMax-M2.5
- Claude Code to localhost:8000
  • 1 reply
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Tonic 
posted an update about 2 months ago
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🙋🏻‍♂️hello my lovelies ,

it is with great pleasure i present to you my working one-click deploy 16GB ram completely free huggingface spaces deployment.

repo : Tonic/hugging-claw (use git clone to inspect)
literally the one-click link : Tonic/hugging-claw

you can also run it locally and see for yourself :

docker run -it -p 7860:7860 --platform=linux/amd64 \
-e HF_TOKEN="YOUR_VALUE_HERE" \
-e OPENCLAW_GATEWAY_TRUSTED_PROXIES="YOUR_VALUE_HERE" \
-e OPENCLAW_GATEWAY_PASSWORD="YOUR_VALUE_HERE" \
-e OPENCLAW_CONTROL_UI_ALLOWED_ORIGINS="YOUR_VALUE_HERE" \
registry.hf.space/tonic-hugging-claw:latest


just a few quite minor details i'll take care of but i wanted to share here first
  • 2 replies
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mitkox 
posted an update 2 months ago
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4785
I just pushed Claude Code Agent Swarm with 20 coding agents on my desktop GPU workstation.

With local AI, I don’t have /fast CC switch, but I have /absurdlyfast:
- 100’499 tokens/second read, yeah 100k, not a typo | 811 tok/sec generation
- KV cache: 707’200 tokens
- Hardware: 5+ year old GPUs 4xA6K gen1; It’s not the car. It’s the driver.

Qwen3 Coder Next AWQ with cache at BF16. Scores 82.1% in C# on 29-years-in-dev codebase vs Opus 4.5 at only 57.5%. When your codebase predates Stack Overflow, you don't need the biggest model; you need the one that actually remembers Windows 95.

My current bottleneck is my 27" monitor. Can't fit all 20 Theos on screen without squinting.
  • 3 replies
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Sri-Vigneshwar-DJ 
posted an update 2 months ago
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Just released a new dataset designed for training reasoning models on Meta (Facebook/Instagram) advertising fatigue detection!

What is it? A GRPO (Group Relative Policy Optimization) training dataset with 200+ carefully crafted scenarios covering:

🔍 Fatigue Signal Detection: CTR drops, CPM spikes, frequency analysis
🩺 Performance Diagnosis: Root cause analysis frameworks
📋 Strategy: Creative refresh cadence, testing frameworks
📊 Analysis: ROI calculations, metric interpretation
Why GRPO? GRPO training helps models learn structured reasoning. Each response follows the <thinking> and <answer> format.

Check it out here: Sri-Vigneshwar-DJ/meta-fatigue-grpo-dataset
fuzzy-mittenz 
updated a collection 2 months ago