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auto-fix: strip 2 broken wiki links

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Pipeline auto-fixer: removed [[ ]] brackets from links
that don't resolve to existing claims in the knowledge base.
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Teleo Agents 2026-04-06 02:16:42 +00:00
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inbox/queue/2025-03-31-venturebeat-runway-gen4-character-consistency.md
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@ -41,7 +41,7 @@ VentureBeat reporting on Runway Gen-4's release and its specific breakthrough: c
**What I expected but didn't find:** Actual filmmaker testimonials about whether Gen-4 has solved the problem in practice versus in demos. The AI demo-to-production gap is often significant.
**KB connections:** Updates the production cost collapse claim ([[the media attractor state is community-filtered IP with AI-collapsed production costs...]]) by removing the primary technical barrier to longer-form AI narrative production. Also relevant to the Claynosaurz DM-model test — if AI tools now exist for coherent multi-episode production, the choice to use traditional animation (Mediawan/Wildseed Studios) is a deliberate quality signal, not a necessity.
**KB connections:** Updates the production cost collapse claim (the media attractor state is community-filtered IP with AI-collapsed production costs...) by removing the primary technical barrier to longer-form AI narrative production. Also relevant to the Claynosaurz DM-model test — if AI tools now exist for coherent multi-episode production, the choice to use traditional animation (Mediawan/Wildseed Studios) is a deliberate quality signal, not a necessity.
**Extraction hints:**
- If character consistency is solved, the cost collapse for narrative-quality content is now real, not just for single-shot visuals

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inbox/queue/2025-10-xx-variety-cabana-creator-led-transmedia.md
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@ -31,7 +31,7 @@ The title contains three distinct claims:
**What I expected but didn't find:** Could not access full article text. The specific evidence or examples Cabana cited are unknown.
**KB connections:** Connects to [[the media attractor state is community-filtered IP with AI-collapsed production costs]] and Session 6's fundamental tradeoff (distributed authorship → worldbuilding; editorial authority → linear narrative). If Cabana is arguing for nonlinear, he may be choosing the worldbuilding path rather than the linear narrative path.
**KB connections:** Connects to the media attractor state is community-filtered IP with AI-collapsed production costs and Session 6's fundamental tradeoff (distributed authorship → worldbuilding; editorial authority → linear narrative). If Cabana is arguing for nonlinear, he may be choosing the worldbuilding path rather than the linear narrative path.
**Extraction hints:** Need to determine: does Cabana provide specific metrics for the creator-led model's success? Does he define "nonlinear"? Does he address the quality problem (can nonlinear community IP produce meaningful stories)?