From 76ac59d84659055ea8aa9157de4384b4548e13e6 Mon Sep 17 00:00:00 2001 From: Teleo Agents Date: Thu, 12 Mar 2026 06:43:11 +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 4) 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..028cbad59 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: "Two new claims extracted: (1) hand anatomy threshold crossing as capability milestone, (2) Sora retention collapse as demand-side constraint evidence. Three enrichments applied to existing claims with 2026 benchmark data. The Sora retention data is the most significant insight—it empirically demonstrates demand-side constraint despite supply-side capability availability. Note: benchmark-to-production gap remains unmeasured (synthetic test prompts vs. real production scenarios)." --- ## 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 ranked #1 globally on Artificial Analysis benchmark (2026) +- Seedance 2.0 specs: 2K native resolution, 4-15s duration, 8+ language lip-sync support +- Kling 3.0 leads for ease of use, Seedance 2.0 for precise creative control +- Google Veo 3 breakthrough: combined visual and audio generation +- Benchmark methodology: 50+ generations per model, 15 prompt categories, 6 dimensions, 2 independent reviewers