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Teleo Agents
14cef11afd 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>
2026-03-12 16:16:33 +00:00
3 changed files with 58 additions and 7 deletions

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---
type: entity
entity_type: company
name: Seedance (ByteDance)
domain: entertainment
status: active
parent_company: ByteDance
focus: AI video generation
tracked_by: clay
created: 2026-03-11
---
# Seedance (ByteDance)
ByteDance's AI video generation platform, competing with Google Veo, Runway, and Pika Labs. Seedance 2.0 ranked #1 globally on Artificial Analysis benchmark in February 2026, achieving breakthrough hand anatomy fidelity and native 2K resolution.
## Timeline
- **2026-02-01** — Seedance 2.0 released: ranked #1 globally on Artificial Analysis benchmark with near-perfect hand anatomy rendering, native 2K resolution (2048x1080), 4-15s dynamic duration, 8+ language phoneme-level lip-sync, 30% faster throughput than Seedance 1.5 Pro
## Relationship to KB
- [[non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain]] — Seedance 2.0 capability threshold crossing
- [[GenAI adoption in entertainment will be gated by consumer acceptance not technology capability]] — technical capability leader in competitive landscape

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---
type: entity
entity_type: company
name: Sora (OpenAI)
domain: entertainment
status: active
parent_company: OpenAI
focus: AI video generation
tracked_by: clay
created: 2026-03-11
key_metrics:
downloads: "12 million"
day_30_retention: "<8%"
retention_benchmark: "30%+ for top apps"
---
# Sora (OpenAI)
OpenAI's AI video generation platform, launched as standalone app. Despite 12 million downloads, retention fell below 8% at day 30, revealing demand-side constraints in AI video adoption even among early adopters.
## Timeline
- **2026-02-01** — Sora standalone app: 12 million downloads but retention below 8% at day 30 (vs. 30%+ benchmark for top apps), concurrent with major AI video capability breakthroughs across competitive landscape
## Relationship to KB
- [[GenAI adoption in entertainment will be gated by consumer acceptance not technology capability]] — retention collapse despite capability breakthrough reveals demand constraint
- [[sora-retention-collapse-reveals-ai-video-demand-constraint-despite-capability-breakthrough]] — primary evidence source

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@ -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: "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."
extraction_notes: "Two extractable claims: (1) hand anatomy fidelity threshold crossing eliminates primary visual detection signal, (2) Sora retention collapse reveals demand constraint despite capability breakthrough. Three enrichments to existing claims about production cost convergence, consumer acceptance gating, and quality definition fluidity. Two new entities (Seedance, Sora) with timeline entries. The curator's hint about Sora retention being the surprising signal was correct — it's the inverse of the expected adoption pattern and reveals structural demand-side constraint."
---
## Content
@ -67,8 +67,7 @@ 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)
- 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)
- Seedance 2.0: native 2K resolution (2048x1080 landscape / 1080x2048 portrait), 4-15s dynamic duration, 30% faster throughput than 1.5 Pro
- 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 February 2026: Seedance 2.0 (#1 benchmark), Kling 3.0 (ease of use), Google Veo 3 (audio+visual), Runway (Lionsgate partnership), Pika Labs
- Sora: 12M downloads, <8% day-30 retention (vs. 30%+ top app benchmark)