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[RESEARCH] Deep Research: Three.js multiplayer 3D world architecture 2026 #743

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opened 2026-03-30 01:56:38 +00:00 by Timmy · 1 comment
Timmy commented 2026-03-30 01:56:38 +00:00
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Phase 2 — Research & Planning

Objective

Use Gemini Deep Research to produce a comprehensive landscape report on Three.js multiplayer 3D world architecture in 2026.

Research Questions

  • What frameworks/libraries exist for multiplayer 3D web worlds?
  • How do others handle real-time synchronization (WebSocket, WebRTC, CRDTs)?
  • What are the performance boundaries of WebGL vs WebGPU in 2026?
  • What Three.js extensions/tools are most relevant for persistent worlds?
  • Case studies of successful Three.js multiplayer deployments

Acceptance

  • Run Deep Research session in Gemini App
  • Export the full report to Google Docs
  • Distill key findings into a brief (< 2 pages) in docs/research/
  • Identify top 3 architectural patterns applicable to The Nexus
  • Feed results into NotebookLM for cross-reference with other research

Tools

  • Gemini App → Deep Research mode
  • Deep Research Agent API: ai.google.dev/gemini-api/docs/deep-research
## Phase 2 — Research & Planning ### Objective Use Gemini Deep Research to produce a comprehensive landscape report on Three.js multiplayer 3D world architecture in 2026. ### Research Questions - What frameworks/libraries exist for multiplayer 3D web worlds? - How do others handle real-time synchronization (WebSocket, WebRTC, CRDTs)? - What are the performance boundaries of WebGL vs WebGPU in 2026? - What Three.js extensions/tools are most relevant for persistent worlds? - Case studies of successful Three.js multiplayer deployments ### Acceptance - [ ] Run Deep Research session in Gemini App - [ ] Export the full report to Google Docs - [ ] Distill key findings into a brief (< 2 pages) in `docs/research/` - [ ] Identify top 3 architectural patterns applicable to The Nexus - [ ] Feed results into NotebookLM for cross-reference with other research ### Tools - Gemini App → Deep Research mode - Deep Research Agent API: `ai.google.dev/gemini-api/docs/deep-research`
Timmy added this to the M5: Google AI Ultra Integration milestone 2026-03-30 01:56:38 +00:00
Timmy added the google-ai-ultraresearch3d-world labels 2026-03-30 01:56:38 +00:00
Timmy commented 2026-04-03 23:00:36 +00:00
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Audit: Google AI Ultra integration epic — these are aspirational proposals, not scoped work. Closing. Reopen individually with acceptance criteria if needed.

Audit: Google AI Ultra integration epic — these are aspirational proposals, not scoped work. Closing. Reopen individually with acceptance criteria if needed.
Timmy closed this issue 2026-04-03 23:00:37 +00:00
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Reference: Timmy_Foundation/the-nexus#743
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