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LF

Lex Fridman Cast

02/03/25

@ Lex Fridman

Gemini Flash is evolving quickly, and its training stack is being improved with reasoning capabilities.

Video

LF

DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459

@ Lex Fridman

DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459

02/03/25

Related Takeaways

DH

Demis Hassabis

05/21/25

@ Google

Gemini is evolving into a universal AI assistant that understands context and can plan and take action on your behalf across devices.

Gf

Google for Developers Cast

05/23/25

@ Google for Developers

The Gemini models are fundamentally trained to know when to use search, enabling them to act like agents that can reason and utilize tools effectively.

Gf

Google for Developers Cast

05/23/25

@ Google for Developers

The investment in the Gemini program has focused on integrating various capabilities quickly, allowing the model to handle tasks like coding, text generation, and image generation all in one place.

Gf

Google for Developers Cast

05/23/25

@ Google for Developers

Gemini was built to be natively multimodal, meaning it can take in images, audio, video, and more, which is essential for progressing towards Artificial General Intelligence (AGI).

LF

Lex Fridman Cast

02/03/25

@ Lex Fridman

Google's Gemini Flash Thinking is both cheaper and better than R1, yet it hasn't received much attention.

DH

Demis Hassabis

05/21/25

@ Google

We're introducing a new mode called Deep Think for Gemini 2.5 Pro, which enhances model performance by allowing more time for reasoning and thinking.

JW

Josh Woodward

03/18/25

@ Sequoia Capital

The Gemini model is being leveraged to enhance AI capabilities in projects like Mariner, focusing on long context and memory.

DH

Demis Hassabis

05/21/25

@ Google

We're integrating advanced capabilities into Gemini Live, including video understanding and memory, to enhance user experience.

YC

Y Combinator Cast

06/07/24

@ Y Combinator

Gemini 1.5 is notable for being a true mixture of experts, activating specific paths for different data types, making it more energy efficient compared to models that use modular approaches.