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Logan Kilpatrick on Google’s new Gemini Models, AI Agents, AGI, and more
Manage episode 454007766 series 3621669
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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 benchmarks.
Rowan Cheung (https://x.com/rowancheung) sat down with Logan Kilpatrick (https://x.com/OfficialLoganK), product lead for Google AI Studio, to discuss what makes these models so unique, AI agents, AGI, and more.
Listen to the full interview on YouTube: https://www.youtube.com/watch?v=WQvMdmk8IkM
Try the new models on Google AI Studio: https://shortclick.link/djojib
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فصول
1. Intro (00:00:00)
2. Google rolls out two new Gemini models (00:01:01)
3. What makes the new models so unique (00:02:18)
4. Math improvements (00:03:40)
5. Examples of Gemini 1.5 in the real world (00:08:20)
6. Future problems AI could solve (00:10:19)
7. Advantages of Gemini 1.5 (00:12:54)
8. How beginners can get started (00:16:50)
9. Advice to thrive in the new age of AI (00:19:01)
10. Turning notes into podcasts (00:22:02)
11. Definitions and what they can do (00:26:30)
12. What’s the final form for agents? (00:31:22)
13. Proactive AI agent systems (00:33:26)
14. Context windows in the agent era (00:36:00)
15. AGI’s definition in Logan’s eyes (00:41:01)
16. The current bottlenecks towards AGI (00:42:05)
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