Tools

Explore

Videos Channels Figures

Atmrix

Tools

Explore

Videos Channels Figures

Atmrix

GH

Geoffrey Hinton

04/26/25

@ CBS Mornings

AI will enhance productivity across almost every industry by making predictions from data more effectively than previous methods, leading to significant increases in efficiency.

Video

Full interview: "Godfather of AI" shares prediction for future of AI, issues warnings

@ CBS Mornings

Full interview: "Godfather of AI" shares prediction for future of AI, issues warnings

04/26/25

Related Takeaways

Mark Zuckerberg

05/09/25

@ Stripe

AI will significantly impact the economy by enhancing productivity, especially for knowledge workers and engineers, who will be supported by advanced AI tools.

Sundar Pichai

06/05/25

@ Lex Fridman

AI will dramatically accelerate creation itself, enabling new levels of productivity and innovation that we have never seen before.

Carl Eschenbach

05/06/25

@ Sequoia Capital

AI should enhance the productivity of existing employees, allowing them to focus on higher-value tasks rather than being replaced.

Alexander Karp

07/14/23

@ Joe Lonsdale

AI has the potential to improve productivity in critical sectors like healthcare and education, which have seen stagnation for decades.

Carl Eschenbach

05/06/25

@ Sequoia Capital

AI will enhance human productivity, allowing people to focus on developing essential interpersonal skills that have diminished in the workforce, especially post-pandemic.

Sam Altman

06/18/25

@ Uncapped with Jack Altman

AI is already helping scientists become three times more productive, indicating its potential to autonomously conduct scientific research in the future.

Sam Altman

04/12/25

@ TED

AI for science is a major focus, as it can significantly enhance productivity and lead to new scientific discoveries.

a16z Cast

06/20/25

@ a16z

AI is enhancing teachers' productivity, allowing them to be significantly more effective in their roles.

Mark Zuckerberg

05/09/25

@ Stripe

AI can enhance efficiency in various sectors, such as providing voice customer support, which was previously not cost-effective for large-scale use.