Indexing 7,500 Sora Videos: Building a Multimodal AI Asset Retrieval System
nptacek · x · 2026-08-11
Security researcher Thomas Ptacek shared his engineering approach to managing generative AI assets. To handle the overwhelming volume of AI output, he ingested his entire Sora 2 corpus (7,500 videos) in one shot, performing deep multimodal indexing.
The indexing covers not just prompts and transcriptions, but also similarity clustering based on frames, background noise, and SFX. This system allows him to naturally search and surface all his generated characters and styles for reuse.
More from coding & agent
- Meta's Muse Glimmer-30B Beats Gemma in Arcade Game Generation but at 4x Cost — rohanpaul_ai · 2026-08-11
- Polyphonic Ships Ambient Desktop Agent with Screen Awareness and Memory — RileyRalmuto · 2026-08-11
- skrub Update: Export Data Reports for LLM Workflows in Machine Learning — pandeyparul · 2026-08-11
- Mnemon: Open-Source Persistent Cross-Session Memory for AI Agents — tom_doerr · 2026-08-11
- Anthropic Releases Free Guide: Building Enterprise-Grade AI Agents — goyalshaliniuk · 2026-08-11
- 86 Obsidian Plugins for AI and LLM Integration: A Curated GitHub List — tom_doerr · 2026-08-11