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Y Combinator Cast

11/01/24

@ Y Combinator

Many companies, especially older ones, are not taking AI advancements seriously, which may be due to a generational gap in understanding the technology's rapid evolution.

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The 10 Trillion Parameter AI Model With 300 IQ

@ Y Combinator

The 10 Trillion Parameter AI Model With 300 IQ

11/01/24

Related Takeaways

Jake Heller

10/04/24

@ Y Combinator

Many companies still lack an understanding of the advancements in AI technology, often repeating outdated beliefs about its limitations, which can hinder innovation.

Sam Altman

05/12/25

@ Sequoia Capital

Larger companies often struggle to adapt to AI innovations because they become stuck in their ways, hindering their ability to innovate.

Y Combinator Cast

05/16/25

@ Y Combinator

Many startups are still unaware of the transformative potential of AI, with only a few exploring its capabilities deeply within their organizations.

Sam Altman

11/09/24

@ Y Combinator

The current tech landscape is ripe for startups because many established companies are unaware of the rapid advancements in AI.

Y Combinator Cast

11/01/24

@ Y Combinator

The benefits of advanced AI models may not be evenly distributed, as many people are unaware of the AI advancements that are already impacting industries.

Y Combinator Cast

05/16/25

@ Y Combinator

The integration of AI into various applications is still evolving, with many companies struggling to effectively implement AI features despite having the technology available.

Aaron Levie

02/20/25

@ Y Combinator

Companies that do not adopt AI-first strategies will struggle to compete, as they won't be able to hire the next generation of talent that is accustomed to AI-driven environments.

Sam Altman

06/18/25

@ Uncapped with Jack Altman

I think AI work to date is not enough; many companies are merely trying to copy OpenAI instead of innovating.

Ray Kurzweil

06/03/25

@ The 92nd Street Y, New York

Despite the advancements, society is cautious about adopting AI technologies, as seen with self-driving cars, which are statistically safer but face public skepticism.