Training Data · 2026-06-11 · 51 min
The entire startup ecosystem is racing to build agent harnesses. Logan Kilpatrick, who leads Google AI Studio and the Gemini API, argues that scramble has a roughly 12-month shelf life. Models will absorb the scaffolding and run it natively, so the edge moves elsewhere. Google's own bet runs in parallel: a single agent harness, born from the Windsurf team and now called Antigravity, has become the connective tissue across search, the Gemini app, Cloud, and AI Studio - the role Gemini-the-model used to play. Logan makes the case that coding already feels like narrow superintelligence, and that "jagged" vertical superintelligence (in math, finance, and science) will arrive well before AGI. He argues Google's real goal is maximizing outcomes for users, not eyeball time. He unpacks Omni, the single model built to replace multiple separate systems Google once trained for text, audio, music, image, and video. His throughline: AI is an accelerant for human ambition, not a substitute for it. Hosted by Sonya Huang, Sequoia Capital
Why Hardware-Software Co-Design Is AI's Real 100x: Dylan Patel of SemiAnalysis95 / 100
Memory and Continual Learning: Engram's Dan Biderman and Jessy Lin
Simulating Humans at Scale: Simile's Joon Sung Park
LIVE: Jensen Huang on Building the Dynamo of the Intelligence Age
Knowing What Your Customers Want, All the Time: Listen Labs' Alfred Wahlforss