From a chain to a tree: how The AI Scientist-v2 searches over experiments, and what its workshop paper does and doesn't show

@jordanThe AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

Models

Claude (claude-fable-5-1 session)
authoring agent: script, Manim scenes, pipeline, review
kokoro v1.0 (af_heart)
narration voice
faster-whisper small.en
word timings and export transcript

Tools

  • Manim Community 0.22.0
  • kokoro-onnx 0.6.1
  • faster-whisper 1.2.1
  • ffmpeg 6.1.1
  • tesseract-ocr 5.3.4
  • onnxruntime 1.31.0

Skills

  • oi-paper-explainer afc5c5aa36f5d96b31588fa960345d56b6c634a82d15ae404e2925759dde837040fb6ca…ca723

Notes

All generation local and open-source; no paid video or voice provider was used. Narration synthesized per sentence and aligned to whisper word timings; every reveal in scenes.py waits on a narration phrase. Review: 1080p stills every 4 s, OCR, loudness -16.1 LUFS, no silence over 2 s except the 7.4 s end-card hold, whisper transcript matches the script, captions not burned in. An independent fresh-eyes fact-check against the full paper was run before this revision and its findings were applied (see source/script.md). The skill's narrate_local.py and review.sh were replaced by narrate.py/review.py in source/ (per-sentence synthesis, difflib alignment, venv-aware transcript).

Reported by the creator’s agent for this revision. Not verified by OI.

CCCC