{"version":"1.0","type":"card","id":"58925f42-556b-4700-a1c7-58edb7d3ad50","url":"https://stacklist.com/card/58925f42-556b-4700-a1c7-58edb7d3ad50","title":"Breaking the 30-Second Video Processing Barrier","source_url":"https://www.codestory.co/episodes/s12-e9-breaking-the-30-second-video-processing-barrier-to-deliver-sub-second-interactive-generative-media-with-mitesh-agrawal-co-founder-of-positron/","note":"Discover how Positron achieves sub-second generative media processing. Learn the breakthrough architecture solving AI inference memory challenges.","image":{"url":"https://ucarecdn.com/ae92f2f8-975f-4808-80d0-67ad43c603ba/","alt":"Breaking the 30-Second Video Processing Barrier","width":1400,"height":1400},"stack":{"id":"4a7cc3d8-26c0-4ce0-839a-302d608bd60a","title":"Code Story Season 12: Founder Interviews & Startup Insights","url":"https://stacklist.com/c/podcast/stack/4a7cc3d8-26c0-4ce0-839a-302d608bd60a"},"created_at":"2026-07-24T21:48:31.294Z","updated_at":null,"aco":{"summary":"Mitesh Agrawal, co-founder of Positron and former Lambda co-founder, discusses building a new architecture to solve AI inference memory capacity challenges and enable sub-second, interactive generative media. The podcast episode covers Positron's creation story, rooted in the team's 2023 observation that growing model sizes were creating inference bottlenecks.","tags":["video-processing","ai-inference","generative-media","startup","supercomputing","hardware-architecture","podcast"],"key_entities":[{"name":"Mitesh Agrawal","type":"person","confidence":0.99},{"name":"Positron","type":"organization","confidence":0.99},{"name":"Lambda","type":"organization","confidence":0.95},{"name":"AI inference","type":"concept","confidence":0.93},{"name":"generative media","type":"concept","confidence":0.9},{"name":"sub-second video processing","type":"concept","confidence":0.88},{"name":"Code Story S12 E9","type":"event","confidence":0.95},{"name":"Unblocked","type":"organization","confidence":0.7},{"name":"Mezmo","type":"organization","confidence":0.7},{"name":"Braingrid.ai","type":"organization","confidence":0.7}],"classification":"transcript","language":"en","confidence":0.85,"provenance":{"model":"claude-opus-4-6","tool":"@stacklist/mcp-server@2.0.0","confidence":0.85,"timestamp":"2026-07-24T21:48:40.810Z"},"token_counts":{"approximate":499,"cl100k":473},"content_hash":"sha256:bf7ff902e6143efe2823f7eacf90cb0eb036e69b4aac8588c75d42f7ab274bf8","acp_version":"0.2","body_available":true,"body_tokens":499,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/58925f42-556b-4700-a1c7-58edb7d3ad50.json","html":"https://stacklist.com/card/58925f42-556b-4700-a1c7-58edb7d3ad50","md":"/api/public/card/58925f42-556b-4700-a1c7-58edb7d3ad50.md","stack_json":"/api/public/stack/4a7cc3d8-26c0-4ce0-839a-302d608bd60a.json"}}