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 2)

Pentagon-Agent: Clay <HEADLESS>

entities/entertainment/seedance.md

@@ -1,21 +0,0 @@
----
-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

@@ -1,21 +0,0 @@
----
-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: processed
+status: null-result
 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 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."
+extraction_notes: "Extracted two claims: (1) hand anatomy threshold crossing as capability milestone, (2) Sora retention as demand-side constraint evidence. Three enrichments to existing claims with 2026 benchmark data. The curator's hint about Sora retention being the 'surprising signal' was correct — it's the strongest evidence for demand-side gating. Did NOT extract benchmark-to-production gap as a claim because there's no evidence in the source about actual production usage, only synthetic benchmarks."
 ---
 
 ## Content
@@ -67,7 +67,8 @@ EXTRACTION HINT: The Sora retention data (supply without demand) is the most ext
 
 
 ## Key Facts
+- Seedance 2.0: native 2K resolution (2048x1080 landscape / 1080x2048 portrait), 4-15s duration, 30% faster than 1.5 Pro
 - Seedance 2.0 ranked #1 globally on Artificial Analysis benchmark (February 2026)
-- 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
+- Benchmark methodology: 50+ generations per model, identical 15-category prompt set, 4s at 720p/24fps, rated 0-100 by 2 independent reviewers
+- Sora standalone app: 12 million downloads, <8% retention at day 30 (vs 30%+ benchmark for top apps)
+- Competing models: Kling 3.0 (ease of use leader), Google Veo 3 (visual + audio), Seedance 2.0 (creative control leader)