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Week 2025-W50

Status: COMPLETE · 2025-12-08 to 2025-12-14 · generated 2026-10-28T19:00:09

All in-scope sources for this week are transcribed and summarised, and passed the automatic transcript checks (no failed chunks, Sinhala script check). Summaries are machine-made from raw transcripts and have not been reviewed by a person.

Sources

Source File Date Length Transcript Documented
src-bb1e0e327c 114 recording 11-12-2025.mp3 2025-12-11 (date from the file name) 44 min done yes (notes)

Summary

114 recording 11-12-2025.mp3 (2025-12-11)

The discussion introduces a new contributor, [name withheld], who will work on uncovering the Dhamma meaning in musical tracks for the Inner Realm project. The team reviews progress with [name withheld] on video animation blending and frame-to-frame prompt generation using vision and LLM models. [name withheld] discusses progress on the Cittakara project, which models cittas and cetasikas, and addresses difficulties with OCR on a 900-page Dhamma book by Maggavihari Thero. [name withheld] also shares the status of the front-end visualisation and discusses issues with Cursor token limits and Playwright MCP bugs alongside [name withheld]'s payment inquiries. The lead speaker recommends moving towards direct API usage (e.g., Claude Code, Qwen, or DeepSeek) within a monthly budget of around $40 instead of hitting IDE subscription limits. Finally, [name withheld] is assigned to extract Dhamma meanings and musical patterns across approximately 220–230 tracks using fine-tuned system prompts in Claude, and [name withheld]/[name withheld] are asked to teach [name withheld] basic Git workflow.

Content mix: About 60% system engineering and AI tooling for Machine World/Inner Realm/visualisations, 30% Dhamma/Abhidhamma domain modelling, and 10% onboarding and team coordination.

Topics discussed

  • Onboarding of [name withheld] and Team Roles (src-bb1e0e327c @ 00:00:00): Speaker 1 introduces [name withheld] to the team, explaining his role in extracting Dhamma meanings from songs. He outlines the responsibilities of [name withheld] (visualisation/AI), [name withheld] (Cittakara / Abhidhamma visualisations), and [name withheld] (system engineering / Inner Realm).
  • Animation Blending and Video Generation Workflow (src-bb1e0e327c @ 00:05:00, 00:10:00): [name withheld] and Speaker 1 discuss video transitions and frame blending using tools like Veo. They discuss structuring multi-dimensional prompts (frame transitions, headers, color variations) and using advanced models like Claude Opus 4.5 or MCP tools.
  • Abhidhamma Data Ingestion and OCR Challenges (src-bb1e0e327c @ 00:10:00, 00:15:00): [name withheld] reports on converting a Dhamma book authored by Maggavihari Thero into text for the Cittakara project. Due to poor OCR results with Unicode and vision models on 900 pages, they plan to ask [name withheld] to obtain the original digital copy from the author monk.
  • Cittakara Interactive Visualisation and Cursor/API Pricing (src-bb1e0e327c @ 00:15:00, 00:20:00, 00:25:00): [name withheld] presents updates on the 89 cittas visualisation. They discuss showing cause-and-effect (paccaya) relationships and cetasikas interactively, followed by troubleshooting Cursor token limits, Playwright MCP issues, and alternative API budgets ($40/month via DeepSeek, Qwen, or Claude Code).
  • LLM Prompting Strategy and Abhidhamma Specificity (src-bb1e0e327c @ 00:30:00): Speaker 1 explains that prompting an LLM on Abhidhamma requires domain-specific terminology and precise conceptual framing to avoid hallucinations and maintain high output accuracy.
  • Inner Realm Track Analysis and Git Workflow for [name withheld] (src-bb1e0e327c @ 00:35:00, 00:40:00): Speaker 1 assigns [name withheld] to process roughly 220-230 songs, generating both Dhamma meaning interpretations and musicological pattern descriptions using system prompts in Claude. [name withheld] will receive Git training from [name withheld] or [name withheld] to commit his work to the repository.

Plans

  • PLANNED: [name withheld] will generate English and Sinhala Dhamma analyses and musical descriptions for approximately 220 to 230 songs using Claude prompts. (src-bb1e0e327c @ 00:35:00)

Proposals

  • PROPOSED: Set up a centralized API token pool with a $40 monthly budget and shift to tools like Claude Code, DeepSeek, or Qwen models rather than paying for Cursor seats. (src-bb1e0e327c @ 00:25:00)

Action items

  • PLANNED: [name withheld] will contact [name withheld] to ask Venerable Maggavihari Thero for the original digital text of his 900-page book. (src-bb1e0e327c @ 00:15:00)
  • PLANNED: [name withheld] or [name withheld] will schedule a screen-sharing session to teach [name withheld] basic Git and repository commit workflows. (src-bb1e0e327c @ 00:35:00)

Problems

  • CONFIRMED: Sinhala Unicode text extraction from the PDF fails across multiple OCR solutions and vision models. (src-bb1e0e327c @ 00:10:00)
  • CONFIRMED: A bug in Playwright MCP currently disrupts the ability to read browser or Drive content via Cursor. (src-bb1e0e327c @ 00:20:00)
  • CONFIRMED: Cursor locked access to premium models despite a recent payment, claiming token limits were exceeded until the cycle resets on the 22nd. (src-bb1e0e327c @ 00:20:00)

Features mentioned

  • IMPLEMENTED: [name withheld] implemented navigation linking the 89 cittas back to the Citta-Cetasika table on the site. (src-bb1e0e327c @ 00:15:00)

Technical details

  • PROPOSED: Prompts for video animation transitions should define multiple dimensions including start-to-end frame transition, header shifts, and color variation mappings. (src-bb1e0e327c @ 00:05:00)
  • PROPOSED: Claude Opus 4.5 is recommended for writing consistent model prompts. (src-bb1e0e327c @ 00:10:00)
  • PROPOSED: The visualisation should dynamically highlight causal antecedent factors and subsequent resultant cittas when a user selects a specific mind state. (src-bb1e0e327c @ 00:20:00)
  • PROPOSED, medium confidence: Qwen 4.2 is noted as a strong model alternative. (src-bb1e0e327c @ 00:25:00)

Continues from earlier weeks