Logan Kilpatrick on Google’s new Gemini Models, AI Agents, AGI, and more
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. Try the new models on Google AI Studio: https://shortclick.link/wa4vas Listen to the interview on Spotify: https://open.spotify.com/episode/5DOG9vrKHt32NEOZeSEWSr 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 Follow me on Twitter/X: https://x.com/rowancheung Follow me on LinkedIn: https://www.linkedin.com/in/rowan-cheung-6309b01bb/ Follow me on Instagram: https://www.instagram.com/rowancheung/ Follow me on Threads: https://www.threads.net/@rowancheung Listen on Spotify: https://open.spotify.com/show/2zQpIc96gbruTylpzo9dVY?si=0cab7cb4091040ee Listen on Apple Podcasts: https://podcasts.apple.com/ca/podcast/the-ai-news-rundown/id1689006106 Get 5-minute daily updates on the latest AI news: https://www.therundown.ai/subscribe Join the AI University: https://rundown.ai/ai-university/ #google #gemini #ai #artificialintelligence
