Yash Datta

Yash Datta — Read the Source

Read the Source takes one mechanism behind modern AI at a time and works it all the way down: the theory in full, a runnable implementation, the safety and alignment properties, and what it takes to run it in production. Reading one of these should leave you understanding the mechanism: why it works, and where it breaks.

I work at the intersection of AI and cybersecurity, building AI safety models and agent control fabric at Highflame. At vibz.art I build Sanskrit-first AI infrastructure for Indic knowledge corpora. Agent Almanac is my publication of recurring, rigorous benchmarks of AI agents on real-world tasks.

Featured piece

Long sessions without compaction

How codeoid keeps month-long agent sessions inside a small context window: rotate the window instead of summarizing it, page verbatim history back through MCP tools, and fork the same conversation onto a different backend.

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  1. Jul 24, 2026 Long sessions without compaction How codeoid keeps month-long agent sessions inside a small context window: rotate the window instead of summarizing it, page verbatim history back through MCP tools, and fork the same conversation onto a different backend. AI agents
  2. Jun 23, 2026 Codeoid: cross-session memory and identity for Claude Code An open-source Bun daemon that adds verbatim cross-session memory, three-layer context reduction, and per-agent ZeroID identity to Claude Code. Plus codeoid-ui: a native Rust/Ratatui cockpit. AI agents
  3. Jun 16, 2026 Three layers above your coding agents A map of the layer forming on top of Claude Code and Codex (single harnesses, parallel-run UIs, and the meta-harness), and why governance, not orchestration, is the part that decides whether a company can adopt any of it. Agent security
  4. Jun 10, 2026 The rotation that rescues a 2-bit KV cache Naive 2-bit quantization destroys the key cache at 0.95 relative error. One Hadamard rotation cuts it to 0.41 without touching a single attention score, measured on real KV and reproducible on a laptop CPU. LLM inference

Papers

  1. JavelinGuard: Low-Cost Transformer Architectures for LLM Security Yash Datta, Sharath Rajasekar · arXiv, 2025

    First author. Low-cost transformer architectures for detecting malicious intent in LLM interactions.

  2. DeepContext: Stateful Real-Time Detection of Multi-Turn Adversarial Intent Drift in LLMs Justin Albrethsen, Yash Datta, Kunal Kumar, Sharath Rajasekar · arXiv, 2026

    Originated the core idea; led and executed by Justin Albrethsen.

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