Google just released two upgraded Gemini 1.5 models 1.5-Pro-002 and 1.5-Flash-002 — achieving new, state-of-the-art performance across math. I sat down with Logan Kilpatrick, product lead for Google AI Studio, to discuss what makes these models so unique, AI agents, AGI, and more.
00:00 Intro
01:01 Google rolls out two new Gemini models
2:18 What makes the new models so unique
3:40 Math improvements
8:20 Examples of Gemini 1.5 in the real world
10:19 Future problems AI could solve
12:54 Advantages of Gemini 1.5
16:50 Where beginners can get started
19:01 Advice to thrive in the new age of AI
22:02 Turning notes into podcasts
26:30 AI agents: Definitions and what they can do
31:22 What’s the final form for agents?
33:26 Proactive AI agent systems
36:00 Context windows in the agent era
41:01 AGI’s definition in Logan’s eyes
42:05 The current bottlenecks towards AGI
