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AN

Andrew Ng

08/30/23

@ Stanford Online

Companies can now train AI systems using their own unique data, such as images of their products, which may not be available online.

Video

SO

Andrew Ng: Opportunities in AI - 2023

@ Stanford Online

08/30/23

Related Takeaways

YC

Y Combinator Cast

11/15/24

@ Y Combinator

Companies should focus on proprietary data and unique test cases to differentiate themselves in the AI market.

AM

Arthur Mensch

03/21/25

@ a16z

The ability to customize AI systems based on local data and norms is critical for nations to effectively leverage AI technology.

DS

David Silver

04/11/25

@ Google DeepMind

A small amount of human data can enable AI systems to generate their own goals, allowing for significant learning from experience.

DS

David Silver

04/11/25

@ Google DeepMind

We're entering the 'era of experience' where AI systems learn from their own interactions with the world, rather than relying solely on human data.

MS

Mati Staniszewski

05/30/25

@ Stripe

Businesses should focus on where they have unique data that can enhance product experiences, rather than just seeking efficiency gains through AI.

C

Carlos

05/24/25

@ LangChain

The company has developed custom AI models to achieve high accuracy in specific use cases, enhancing overall service delivery.

CE

Carl Eschenbach

05/06/25

@ Sequoia Capital

Data is the new user interface for AI, and having highly curated data is crucial for achieving great outcomes with AI agents.

A

Anthropic Cast

04/28/25

@ Anthropic

AI systems are trained on a vast database of human knowledge, which includes both positive and negative visions, making it essential to understand the implications of this information.

YC

Y Combinator Cast

12/07/24

@ Y Combinator

Computer use represents a significant advancement for AI, allowing models to adapt to tools rather than requiring developers to create custom environments for each task.