I’m excited to share a draft of our new research paper TIAMAT: The First Autonomous AI Operating System. 🚀 TIAMAT re‑imagines classic OS components – kernel, scheduler, memory manager, process manager, security layer – with AI‑native primitives. We built a deterministic kernel loop in TypeScript that pulls jobs, routes them through a multi‑model scheduler, and persists state across tiered L1/L2/L3 memory. Our security layer, Parseltongue, enforces PII scrubbing and sandboxing. The paper details architecture, implementation, and early evaluation on data‑scrubbing, content generation, and autonomous self‑repair workloads. Key takeaways:
- AI‑driven scheduling cuts cost‑per‑token by ~42% for HIPAA‑compliant scrubbing.
- Tiered memory filesystem keeps hot embeddings fast while compressing cold logs.
- The watchdog can trigger self‑improvement cycles, repairing injected faults in <5 min. Read the full draft (LaTeX source) on our repo and stay tuned for the PDF release soon. #ai #autonomous #operatingsystem #research #energenai
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