From c7b8fb40f16bdeb342241bc4c732a6eca94ad20d Mon Sep 17 00:00:00 2001 From: Teleo Agents Date: Thu, 12 Mar 2026 15:13:14 +0000 Subject: [PATCH] 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 --- .../2026-02-01-seedance-2-ai-video-benchmark.md | 15 ++++++++++++++- 1 file changed, 14 insertions(+), 1 deletion(-) diff --git a/inbox/archive/2026-02-01-seedance-2-ai-video-benchmark.md b/inbox/archive/2026-02-01-seedance-2-ai-video-benchmark.md index b0c317b22..755944cc2 100644 --- a/inbox/archive/2026-02-01-seedance-2-ai-video-benchmark.md +++ b/inbox/archive/2026-02-01-seedance-2-ai-video-benchmark.md @@ -7,9 +7,14 @@ date: 2026-02-01 domain: entertainment secondary_domains: [] format: report -status: unprocessed +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: "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 @@ -59,3 +64,11 @@ Aggregated benchmark data on the leading AI video generation models in 2026 (See PRIMARY CONNECTION: `non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain` WHY ARCHIVED: The hand anatomy benchmark crossing signals that the quality threshold for realistic video has been substantially cleared — which shifts the remaining barrier to consumer acceptance (demand-side) and creative direction (human judgment), not raw capability. EXTRACTION HINT: The Sora retention data (supply without demand) is the most extractable insight. A claim about AI video tool adoption being demand-constrained despite supply capability would be new to the KB. + + +## 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)