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Demis Hassabis

05/23/25

@ Google for Developers

To maximize improvement in AI, we need to scale existing techniques to their limits while also investing in future innovations that could lead to significant advancements.

Video

Demis Hassabis on the frontiers of AI

@ Google for Developers

Demis Hassabis on the frontiers of AI

05/23/25

Related Takeaways

Mati Staniszewski

05/30/25

@ Stripe

In AI, every approach has performed better when more scale is applied, especially as foundational problems are addressed over time.

Sam Altman

08/02/19

@ Khosla Ventures

To achieve significant progress in AI, we need one more major breakthrough and about ten additional improvements in existing algorithms.

Dan Roberts

05/09/25

@ Sequoia Capital

We need to develop scaling science alongside our compute scaling efforts to ensure effective advancements in AI capabilities.

Sergey Brin

05/23/25

@ Google for Developers

Both algorithmic improvements and computational advancements, such as better chips and larger data centers, are essential for progress in AI.

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.

Satya Nadella

04/17/25

@ Microsoft India

The scaling laws in AI are still valid, but as we scale, challenges such as data management and system complexity become more pronounced, necessitating innovative solutions.

Y Combinator Cast

01/24/25

@ Y Combinator

If the old scaling laws are beginning to lose their edge, we need to consider what comes next for AI development.

Demis Hassabis

05/24/25

@ Hard Fork

Hassabis emphasizes the importance of both incremental improvements and potential breakthroughs in AI development, suggesting that both paths are necessary for progress.

Y Combinator Cast

11/15/24

@ Y Combinator

The scaling laws in AI research are being explored alongside advancements in reasoning models, which could lead to significant breakthroughs in various fields.