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Scott Alexander

04/04/25

@ Dwarkesh Patel

The rapid progress in AI could be compared to the Industrial Revolution, where significant advancements were achieved despite constraints, indicating that AI could also experience breakneck progress under certain conditions.

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2027 Intelligence Explosion: Month-by-Month Model — Scott Alexander & Daniel Kokotajlo

@ Dwarkesh Patel

2027 Intelligence Explosion: Month-by-Month Model — Scott Alexander & Daniel Kokotajlo

04/04/25

Related Takeaways

Y Combinator Cast

11/01/24

@ Y Combinator

The pace of AI improvement is unprecedented, outpacing previous technological advancements like cloud computing and processors, surprising even those within the tech industry.

Sam Altman

06/18/25

@ OpenAI

The rapid progress from earlier AI models to the latest ones demonstrates that major insights can lead to swift advancements in technology.

Y Combinator Cast

11/06/24

@ Y Combinator

The rapid advancements in AI indicate that we're not hitting a scaling wall, and the technology will continue to improve.

Josh Woodward

03/18/25

@ Sequoia Capital

The pace of AI progress is accelerating rapidly, moving on a scale of quarters rather than years.

Satya Nadella

04/17/25

@ Microsoft India

The AI revolution fundamentally accelerates innovation, transforming what was an 18-month doubling of capabilities into a six-month doubling due to breakthroughs like deep neural networks and AI accelerators.

Bob McGrew

02/01/25

@ Y Combinator

The rapid advancements in AI are attributed to combining scaling techniques with algorithmic improvements, which have led to significant progress in the field.

Anthropic Cast

04/28/25

@ Anthropic

The rapid advancement of AI technology has profound implications for society.

Scott Alexander

04/04/25

@ Dwarkesh Patel

The current pace of AI progress has been underestimated, and we believe that the speed of AI diffusion into the world is also accelerating.

Y Combinator Cast

11/06/24

@ Y Combinator

The current advancements in AI suggest that we are not near a limit; the rate of change and new models indicates ongoing improvement.