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| <h1>Tinman Lab</h1> | |
| <h3>Autonomous Machines. Second-Order Systems.</h3> | |
| <div class="sub">AGENT MEMORY · ADVERSARIAL SAFETY · AGENTIC ECONOMY · PERCEPTION SYSTEMS · APPLIED RESEARCH</div> | |
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| <hr /> | |
| <p>We build on-device AI systems that reason, remember, and self-correct — small models designed to run autonomously at the edge with calibrated uncertainty and adversarial robustness.</p> | |
| <h2>Research Areas</h2> | |
| <ul> | |
| <li><strong>Agent Memory</strong> — Encrypted semantic memory infrastructure for persistent agent context</li> | |
| <li><strong>Adversarial Safety</strong> — Multi-agent stress-testing and trust verification for autonomous systems</li> | |
| <li><strong>Perception Systems</strong> — On-device vision, voice, and multimodal understanding</li> | |
| <li><strong>Disposition Distillation</strong> — Training behavioral tendencies (planning, uncertainty acknowledgment, self-verification) into sub-billion parameter model weights via all-MIT multi-teacher distillation</li> | |
| </ul> | |
| <h2>Research Releases</h2> | |
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| <tr><th>Model</th><th>Size</th><th>Description</th></tr> | |
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| <td><a href="https://huggingface.co/Tinman-Lab/tinman-code-0.6B">tinman-code-0.6B</a></td> | |
| <td>418 MB</td> | |
| <td>Research release — Disposition Distillation proof-of-concept on Qwen3-0.6B</td> | |
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| <h2>Links</h2> | |
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| <a href="https://tinmanlab.com">Website</a> | |
| <a href="https://github.com/tinmanlabsl/">GitHub</a> | |
| <span style="color: #888;">Research Paper — coming soon</span> | |
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