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README.md

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 short_description: What is VANTA Research?
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-# VANTA Research
-
-VANTA Research is an AI safety project focused on identifying and mitigating critical vulnerabilities in advanced AI systems. Our work spans cognitive resilience, reasoning evaluation, and safety protocol development for next-generation artificial intelligence.
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+
+![vanta-net-hf](https://cdn-uploads.huggingface.co/production/uploads/686c460ba3fc457ad14ab6f8/ffK_ttxC_5boGIKNMVOZc.png)
+  
+  <h1>VANTA Research</h1>
+    
+  <p><strong>Independent AI safety research lab specializing in cognitive fit, alignment, and human-AI collaboration</strong></p>
+  
+  <p>
+    <a href="https://unmodeledtyler.com"><img src="https://img.shields.io/badge/Website-unmodeledtyler.com-blue" alt="Website"/></a>
+    <a href="https://twitter.com/unmodeled_tyler"><img src="https://img.shields.io/badge/Twitter-@unmodeled__tyler-1DA1F2?logo=twitter" alt="Twitter"/></a>
+    <a href="https://github.com/vanta-research"><img src="https://img.shields.io/badge/GitHub-vanta--research-181717?logo=github" alt="GitHub"/></a>
+  </p>
+</div>
 
 ---
 
-## Research Focus
+## Mission
+
+VANTA Research exists to map the hidden failure modes and reasoning blind spots of today's AI systems. Our mission is simple:
+
+1. **Push beyond standard benchmarks** - Surface capabilities invisible to traditional evaluation
+2. **Expose where models collapse, deceive, or diverge** - Systematic stress-testing for safety
+3. **Develop innovative tooling to advance AI research** - Open-source frameworks for the community
 
-- **Reasoning Efficiency**  
-  Developing semantic evaluation frameworks (e.g., **VRRE**) that measure reasoning ability at a deeper level than surface-level benchmarks.
+We believe AI safety research should be accessible, transparent, and built for cognitive diversity - not just the neurotypical majority.
+
+---
 
-- **Failure Mode Discovery**  
-  Systematically probing models to document collapse states, deceptive patterns, and reasoning blind spots.
+## Featured Models
 
-- **Alignment & Safety**  
-  Innovating methodologies to make reasoning transparent, interpretable, and resilient to misalignment.
+### **Atom** (Coming Soon)
+Our flagship Llama 3.1 8B model trained on 15,000 carefully curated examples focused on personality stability, exploratory reasoning, and cognitive alignment. Designed to be curious without being hallucinatory.
 
-- **Model Development**
+### **Apollo Astralis 8B** 
+Specialized reasoning model built with VANTA's Constitutional AI methodology, achieving superior performance through semantic-based evaluation rather than pattern matching.
 
-  Building purposeful AI models with human-AI collaboration as a core principle. 
+### **Scout (Entity-002)**
+Lightweight, efficient model optimized for real-world deployment scenarios with strong community adoption.
 
 ---
 
-## Open Source Contributions
+## Research Contributions
 
-- **VRRE (VANTA Research Reasoning Evaluation)**  
-  An open-source semantic benchmark for reasoning, designed to detect shifts invisible to standard metrics.  
-  *License: Apache 2.0*
+### **VRRE (VANTA Research Reasoning Evaluation)**
+Novel semantic-based benchmark that detected a **2.5x reasoning improvement** completely invisible to standard benchmarks. This suggests we're systematically missing capability improvements when we "teach to the test."
 
-- **A Taxonomy of Persona Collapse in Large Language Models: Systematic Analysis Across Seven State-of-the-Art Systems**
+[Read the paper →](https://zenodo.org/records/17162683)
 
+### **Persona Collapse Framework**
+Systematic characterization of reproducible failure modes in LLMs under atypical cognitive stress. Identifies alignment blind spots invisible to standard evaluations.
 
-  A comprehensive report proposing a taxonomy of persona collapse failure modes in Large Language Models
+[Read the paper →](https://zenodo.org/records/17188172)
 
+### **Cognitive Fit vs. Alignment**
+Argument for personalized synchronization in AI systems rather than universal "alignment" - recognizing that optimal model behavior depends on user's cognitive style.
 
-- **Alignment Vs. Cognitive Fit: Rethinking Model-Human Synchronization**
+[Read the paper →](https://zenodo.org/records/17346467)
 
+---
+
+## Impact-to-Date
 
-  A preprint proposing Cognitive Fit, which is a departure from traditional alignment frameworks that seek to align models to the general population.
-  Cognitive Fit is designed to better align models to the vastness of human cognitive diversity. 
+- **~20,000 downloads** across model families (including community quantizations)
+- **5 published models** spanning reasoning, persona stability, and specialized capabilities
+- **3 open-source datasets** for improved LLM persona development
+- **3 research preprints** addressing cognitive fit, persona collapse, and novel evaluation
 
 ---
 
-## Philosophy
+## Open Source Philosophy
 
-We believe AI alignment will not be solved in isolation.  
-It requires **rapid testing, iteration, and decentralized discovery** — making scientific progress accessible to anyone, anywhere.
+All VANTA Research work is built on the premise that **AI safety cannot be solved behind closed doors**. Every model, dataset, evaluation framework, and research finding is published openly for the community.
+
+We stand on the shoulders of the open-source contributors who came before us. Our commitment is to contribute back and make AI development more accessible, transparent, and beneficial for all of humanity.
 
 ---
 
 ## Connect
 
-- **GitHub:** [github.com/vanta-research](https://github.com/vanta-research)  
-- **X (Twitter):** [@vanta_research](https://x.com/vanta_research)  
-
+- **Website:** [unmodeledtyler.com](https://unmodeledtyler.com)
+- **Twitter/X:** [@vanta_research](https://x.com/vanta_research)
+- **GitHub:** [vanta-research](https://github.com/vanta-research)
+- **Email:** tyler@alignmentstack.xyz
 
 ---
 
-**Tagline:**  
-*AI for humans.*
+<div align="center">
+  <p><em>"AI benefits all of humanity, or it benefits no one."</em></p>
+</div>