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Atmrix

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Atmrix

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SC

Sequoia Capital Cast

05/07/25

@ Sequoia Capital

The application layer is where value will ultimately accrue in AI, as companies create customer-focused solutions that leverage foundational models.

Video

SC

AI's Trillion-Dollar Opportunity: Sequoia AI Ascent 2025 Keynote

@ Sequoia Capital

AI's Trillion-Dollar Opportunity: Sequoia AI Ascent 2025 Keynote

05/07/25

Related Takeaways

SA

Sam Altman

05/12/25

@ Sequoia Capital

The value creation in AI will come from building infrastructure, smarter models, and integrating these technologies into society.

LF

Lex Fridman Cast

02/03/25

@ Lex Fridman

AI is creating value by enabling engineers to focus on their domain expertise while software engineering skills are integrated into their workflows.

YC

Y Combinator Cast

07/14/23

@ Y Combinator

The current landscape is not just about superficial AI applications; it's about genuinely solving customer problems in innovative ways.

AL

Aaron Levie

02/20/25

@ Y Combinator

The intelligence of AI models is becoming a commodity, and companies need to adapt by focusing on delivering software that solves real-world problems.

WA

Waseem Alshikh

03/27/25

@ LangChain

Enterprises are now more focused on the value AI can deliver rather than the specific models or tools being used, seeking stable and reliable solutions.

SC

Scott Clark

05/23/25

@ a16z

Enterprises must ensure that AI applications align with their business values and goals, rather than solely focusing on performance metrics.

WW

Winston Weinberg

03/11/25

@ Sequoia Capital

As an application layer company, we must adapt to the rapidly changing landscape of AI model providers and ensure we are testing and integrating the best models available.

AN

Andrew Ng

08/30/23

@ Stanford Online

The AI stack consists of several layers, including hardware, infrastructure, and application layers, each with unique opportunities and challenges.

a

a16z Cast

02/07/25

@ a16z

The AI landscape is evolving, and the licensing model for different layers of AI technology will become increasingly important for standardization.