The Model Eats the Scaffolding: DeepMind's Logan Kilpatrick & Tulsee Doshi on 3.5 Flash, Omni & More

About this episode

Logan Kilpatrick and Tulsee Doshi discuss DeepMind's latest AI models and strategic decisions in a pre-Google I/O episode.

Logan Kilpatrick and Tulsee Doshi of Google DeepMind join for a first-ever in-person episode recorded just days before Google I/O, covering headline launches like Gemini 3.5 Flash, the Omni video generation model, and the new Gemini Spark agentic product. The conversation digs into Google's strategic decision to lead with cost-adjusted efficiency over raw capability, how DeepMind now ships a full agent harness rather than bare models, and technical questions around context window limits and knowledge cutoffs. They also explore how the team thinks about model psychology, AI welfare, and recursive self-improvement. Sponsors: Brave Search API: Brave Search API gives AI agents a fast, independent search index for research, RAG pipelines, images, places, and fewer hallucinations. Get $5 in free credits at https://brave.com/search/api/?mtm_campaign=q2-26-cognitive-revolution Sequence: Sequence handles the full revenue workflow for complex pricing, from quoting and metering to invoicing, revenue recognition, and collections. Book a public demo at https://sequencehq.com and use code COGNISM in the source field to save 20% off year one Roboflow: Roboflow is an end-to-end visual AI…

People in this episode

Hosts: Erik Torenberg, Nathan Labenz

Guests: Logan Kilpatrick, Tulsee Doshi

Topics covered

• AI models
• DeepMind
• Google I/O
• video generation
• AI welfare
• recursive self-improvement

Keywords

• Gemini 3.5 Flash
• Omni video generation
• AI efficiency
• context window limits
• model psychology

Sponsors

Brave Search API, Sequence, Roboflow

Mentioned in this episode

Organizations: Google DeepMind

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