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: shortclick.lin...
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
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[@jesahnorrin]

This was not the release I was expecting. Very excited for it.

[@ryanmadden752]

How good is 1.5pro002 compared to pro experimental 08/27 on ai studio

[@lolo6795]

Where are the benchmarks ?

[@karthage3637]

Will have to test it but my last attempt with the gemini series API was disapointing Gpt 4o-mini was still way more interesting than Gemini flash as a small fast and cheap model And sonnet 3.5 than Gemini pro for a bigger cutting edge one

[@TheDutchDev_]

Humanoids is the final form of agentic...

[@marwin4348]

Google continuining to trail behind.

[@marma6937]

Disappointing