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Generative UI, built for you on demand, principally requires fast inference. Logan Kilpatrick Logan Kilpatrick on how AI could reshape software: agents handle transactional tasks, while new interfaces unlock richer experiences. Speed changes the interface. Presented with Cerebras // Alycia Cary

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Sarah Chieng

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15,779 просмотров • 3 дней назад •via X (Twitter)

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.Google DeepMind CEO Demis Hassabis joins Logan Kilpatrick on Release Notes to chat about the momentum of AI development, world models like Genie 3, improved model evaluations through Game Arena with @Kaggle, and the quest for AGI.
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.Google DeepMind CEO Demis Hassabis joins Logan Kilpatrick on Release Notes to chat about the momentum of AI development, world models like Genie 3, improved model evaluations through Game Arena with @Kaggle, and the quest for AGI.

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I sat down with Logan Kilpatrick for an honest technical breakdown of the Google I/O updates. 🎙️ We pushed on: • Gemini 3.5 Flash pricing • Gemini CLI deprecation • Benchmark gaps vs Opus & GPT-5.5 Huge thanks to Logan and the DeepMind team for leaning into the tough community feedback and giving us real engineering clarity.
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🚨 Big news! Cerebras is launching six new AI data centers across North America & Europe. This expands our capacity to 40M+ tokens/sec, making Cerebras the first hyperscale cloud for high-speed AI inference. Read more:

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Exclusive: 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 (Logan Kilpatrick) to discuss the models, AI agents, AGI, and more. Timestamps: 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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Exclusive: 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 (Logan Kilpatrick) to discuss the models, AI agents, AGI, and more. Timestamps: 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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