{"podcast":{"title":"Training Data","slug":"training-data","podcast_index_feed_id":null,"rss_url":"https://feeds.megaphone.fm/trainingdata","website_url":"https://www.sequoiacap.com/","image_url":"https://megaphone.imgix.net/podcasts/8ca8a61c-08b4-11ef-97ab-9fe273d59030/image/4a16fd33b06708003827556209cd42b7.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress","author":"Sequoia Capital","episode_count":104,"summary":"Join us as we train our neural nets on the theme of the century: AI. Sonya Huang, Pat Grady and more Sequoia Capital partners host conversations with leading AI builders and researchers to ask critical questions and develop a deeper understanding of the evolving technologies—and their implications for technology, business and society. The content of this podcast does not constitute investment advice, an offer to provide investment advisory services, or an offer to sell or solicitation of an offer to buy an interest in any investment fund.","last_synced_at":"2026-08-02T15:06:49.231983+00:00","page_url":"https://stenobird.com/podcast/training-data"},"episode":{"title":"How Google’s Nano Banana Achieved Breakthrough Character Consistency","slug":"how-google-s-nano-banana-achieved-breakthrough-character-consistency","published_at":"2025-11-11T17:25:00+00:00","page_url":"https://stenobird.com/podcast/training-data/how-google-s-nano-banana-achieved-breakthrough-character-consistency","show_page_url":"https://stenobird.com/podcast/training-data","url":"https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI7583811947.mp3","audio_url":"https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI7583811947.mp3","summary":"When Google launched Nano Banana, it instantly became a global phenomenon, introducing an image model that finally made it possible for people to see themselves in AI-generated worlds. In this episode, Nicole Brichtova and Hansa Srinivasan, the product and engineering leads behind Nano Banana, share the story behind the model’s creation and what it means for the future of visual AI. Nicole and Hansa discuss how they achieved breakthrough character consistency, why human evaluation remains critical for models that aim to feel right, and how “fun” became a gateway to utility. They explain the craft behind Gemini’s multimodal design, the obsession with data quality that powered Nano Banana’s realism, and how user creativity continues to push the technology in unexpected directions—from personal storytelling to education and professional design. The conversation explores what comes next in visual AI, why accessibility and imagination must evolve together, and how the tools we build can help people capture not just reality but possibility. Hosted by: Stephanie Zhan and Pat Grady, Sequoia Capital","meta_description":"When Google launched Nano Banana, it instantly became a global phenomenon, introducing an image model that finally made it possible for people to see them…","key_points":[],"chapters":[],"topics":[],"duration_seconds":2618,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/training-data/episodes/how-google-s-nano-banana-achieved-breakthrough-character-consistency/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/training-data/how-google-s-nano-banana-achieved-breakthrough-character-consistency.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}