clay: extract from 2026-02-01-seedance-2-ai-video-benchmark.md

- Source: inbox/archive/2026-02-01-seedance-2-ai-video-benchmark.md
- Domain: entertainment
- Extracted by: headless extraction cron (worker 5)

Pentagon-Agent: Clay <HEADLESS>

entities/entertainment/seedance.md

@@ -0,0 +1,21 @@
+---
+type: entity
+entity_type: company
+name: Seedance (ByteDance)
+domain: entertainment
+status: active
+tracked_by: clay
+created: 2026-03-11
+---
+
+# Seedance (ByteDance)
+
+ByteDance's AI video generation platform, competing with Google Veo, Runway, and Pika Labs. Seedance achieved #1 global ranking on Artificial Analysis benchmark in February 2026 with Seedance 2.0.
+
+## Timeline
+- **2026-02-01** — Seedance 2.0 launched: ranked #1 globally on Artificial Analysis benchmark, native 2K resolution (2048x1080), 4-15s dynamic duration, near-perfect hand anatomy scores in complex movements (magician card shuffling, pianist playing), phoneme-level lip-sync across 8+ languages, 30% faster throughput than Seedance 1.5 Pro
+
+## Relationship to KB
+- [[ai-video-hand-anatomy-fidelity-crossed-production-threshold-in-2026-making-visual-tells-unreliable]] — technical capability evidence
+- [[non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain]] — production cost convergence
+- [[domains/entertainment/_map]]

entities/entertainment/sora-openai.md

@@ -0,0 +1,21 @@
+---
+type: entity
+entity_type: company
+name: Sora (OpenAI)
+domain: entertainment
+status: active
+tracked_by: clay
+created: 2026-03-11
+---
+
+# Sora (OpenAI)
+
+OpenAI's AI video generation platform, launched as standalone app in late 2025/early 2026. Despite flagship positioning and massive distribution advantages, Sora faced significant retention challenges revealing demand-side constraints in AI video adoption.
+
+## Timeline
+- **2026-02-01** — Sora standalone app reached 12 million downloads but retention fell below 8% at day 30 (vs. 30%+ benchmark for top consumer apps), signaling demand-side constraint despite technical capability improvements across AI video sector
+
+## Relationship to KB
+- [[sora-8-percent-retention-signals-ai-video-tools-face-demand-constraint-despite-capability-breakthrough]] — retention data evidence
+- [[GenAI adoption in entertainment will be gated by consumer acceptance not technology capability]] — consumer acceptance barrier
+- [[domains/entertainment/_map]]

inbox/archive/2026-02-01-seedance-2-ai-video-benchmark.md

@@ -7,14 +7,14 @@ date: 2026-02-01
 domain: entertainment
 secondary_domains: []
 format: report
-status: null-result
+status: processed
 priority: medium
 tags: [ai-video-generation, seedance, production-costs, quality-threshold, capability]
 processed_by: clay
 processed_date: 2026-03-11
 enrichments_applied: ["non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain.md", "GenAI adoption in entertainment will be gated by consumer acceptance not technology capability.md", "consumer definition of quality is fluid and revealed through preference not fixed by production value.md"]
 extraction_model: "anthropic/claude-sonnet-4.5"
-extraction_notes: "Two claims extracted: (1) hand anatomy threshold crossing as capability milestone, (2) Sora retention collapse as demand-side signal. Three enrichments applied to existing claims about production cost convergence, consumer acceptance gating, and fluid quality definition. The Sora retention data is the most significant insight—it directly confirms the demand-side constraint thesis despite supply-side capability arrival. Hand anatomy benchmark is a clear technical milestone but comes with caveat about benchmark-to-production gap."
+extraction_notes: "Two new claims extracted: (1) AI video hand anatomy crossing quality threshold, (2) Sora retention data revealing demand constraint. Three enrichments applied to existing claims about production costs, consumer acceptance, and quality definition. Two new entities created for Seedance and Sora. The Sora retention data is the most significant insight—it reveals demand-side constraint operating even among early adopters despite supply-side capability breakthroughs. Benchmark-to-production gap noted as limitation in hand anatomy claim."
 ---
 
 ## Content
@@ -68,7 +68,6 @@ EXTRACTION HINT: The Sora retention data (supply without demand) is the most ext
 
 ## Key Facts
 - Seedance 2.0 ranked #1 globally on Artificial Analysis benchmark (February 2026)
-- Seedance 2.0 technical specs: native 2K resolution (2048x1080 landscape / 1080x2048 portrait), 4-15s dynamic duration, 30% faster throughput than 1.5 Pro, 8+ language lip-sync support
-- Benchmark methodology: 50+ generations per model, identical 15-category prompt set, 4s at 720p/24fps, rated 0-10 on 6 dimensions by 2 independent reviewers
-- Competitive landscape: Kling 3.0 (ease of use leader), Google Veo 3 (visual + audio integration), Sora (12M downloads, <8% D30 retention)
-- Sora retention: 12 million downloads, below 8% day-30 retention (vs. 30%+ benchmark for top apps)
+- Kling 3.0 edges ahead for straightforward video generation ease of use
+- Google Veo 3 breakthrough combined visual and audio generation
+- Benchmark methodology: 50+ generations per model, identical prompt set of 15 categories, 4 seconds at 720p/24fps, rated on 6 dimensions by 2 independent reviewers