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Y Combinator Cast

07/01/17

@ Y Combinator

Google Brain exemplifies how large organizations can leverage advancements in machine learning to enhance their applications and reduce costs, effectively generating revenue without needing to sell more products.

Video

IPFS, CoinList, and the Filecoin ICO with Juan Benet and Dalton Caldwell

@ Y Combinator

IPFS, CoinList, and the Filecoin ICO with Juan Benet and Dalton Caldwell

07/01/17

Related Takeaways

Sundar Pichai

05/16/25

@ All-In Podcast

Google's infrastructure advantage allows it to deliver AI models at a cost-effective price point, enhancing performance and product quality.

Jeff Dean

08/08/17

@ Y Combinator

The Google Brain team's mission is to make machines intelligent and use that capability to improve people's lives in various ways.

Y Combinator Cast

06/07/24

@ Y Combinator

As AI models improve, B2B companies can leverage these advancements to upsell features and enhance customer value without the end user needing to understand the underlying technology.

Sundar Pichai

05/27/25

@ The Verge

Google is confident in its AI advancements, with a focus on bringing deep computer science research into practical products.

Sundar Pichai

05/27/25

@ The Verge

The investment in AI technology will eventually yield significant returns, similar to how Gmail evolved into a major revenue source for Google.

Josh Woodward

03/18/25

@ Sequoia Capital

Google Labs is focused on building new AI products that people love, whether they are consumer, B2B, or developer products, emphasizing a culture of rapid development and experimentation.

Andrew Ng

08/30/23

@ Stanford Online

The majority of financial value from AI today comes from supervised learning, which can generate over 100 billion US dollars a year for companies like Google.

Sergey Brin

05/24/25

@ Google for Developers

Google has always been an AI company at its core, focusing on large-scale data and analysis, which positions it well for the current shift towards AI innovation.

Jeff Dean

08/08/17

@ Y Combinator

Deep learning applications at Google include Google Photos, which effectively utilizes computer vision to understand the content of images.