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RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapper.

Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)

  • ai-text-detection
  • explainable-ai
  • interpretability
  • mechanistic-interpretability

Enable root SSH on BMW MGU head units (iDrive 7 / ID8 BDC3 / ID8 BCP) over ENET - flash the debug image, enroll, persistent SSH with no B7F8E5 DTC, and a unique per-car key.

  • developer-mode
  • idrive
  • idrive7
  • root

TranslatedAI live streaming room: Vidu S2 real-time digital human + danmaku (bullet comment) filtering and scheduling + wardrobe outfit changing + OBS overlay (character assets not included)

A Claude skill for directing, building and verifying code-rendered videos (HTML/Canvas → MP4): principles, gated workflow, QA scripts and evals.