Update CHIMERA Crucible organization card entry

README.md

@@ -24,7 +24,7 @@ GestaltLabs is the research home for the **Nemostein**, **Ornstein**, **Harmonic
 ## Current Focus
 - **Nemostein** — Nemotron/Nemotron-Omni reasoning and tool-use fine-tunes, including GGUF releases for local inference
 - **Ornstein** — multimodal and MoE reasoning models (Qwen/Gemma-derived) optimized for local deployment and agentic workflows
-- **CHIMERA** — reasoning-oriented models and datasets emphasizing self-correction, chain-of-thought supervision, and agent traces
+- **CHIMERA / Crucible** — Conditional Reward-Utility Coreset by Iterative Bayesian Learnability Estimation, a private data pipeline for reasoning and agent-trace curation
 - **SABER / RYS** — post-training experiments around capability preservation, refusal boundaries, KLD drift, and model behavior editing
 - **Acta / Talos** — curated agentic tool-use and coding-assistant traces for SFT and evaluation
 - **Local inference** — GGUF, quantized, and deployment-friendly builds for llama.cpp and MLX workflows
@@ -56,8 +56,8 @@ Multimodal and MoE reasoning line across 27B–35B scales, shipped in formats fo
 **Ornstein-27B-v2** — earlier 27B revision
 - [GGUF](https://huggingface.co/DJLougen/Ornstein-27B-v2-GGUF)
 
-### CHIMERA
-*Coming soon* — reasoning-focused models with explicit self-correction and agent trace supervision.
+### CHIMERA / Crucible
+[Crucible](https://github.com/DJLougen/crucible) is the private CHIMERA data pipeline: Conditional Reward-Utility Coreset by Iterative Bayesian Learnability Estimation. It is used for reasoning-oriented data selection, self-correction supervision, and agent-trace curation.
 
 ### SABER / RYS
 Experimental post-training branches studying refusal boundaries and capability-preserving edits.