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TB

Trenton Bricken

05/23/25

@ Dwarkesh Patel

In the coming years, we will see more experiments on how to effectively deploy and manage multiple AI agents for complex tasks.

Video

DP

Is RL + LLMs enough for AGI? – Sholto Douglas & Trenton Bricken

@ Dwarkesh Patel

Is RL + LLMs enough for AGI? – Sholto Douglas & Trenton Bricken

05/23/25

Related Takeaways

SC

Sequoia Capital Cast

06/03/25

@ Sequoia Capital

The evolution of AI agents will lead to more complex use cases as users gain trust in their capabilities, allowing them to handle more advanced tasks.

SA

Scott Alexander

04/04/25

@ Dwarkesh Patel

We envision a scenario where hundreds of thousands to millions of AI agents are working in parallel, but the real limitations will be in taste and computational resources, not the number of agents.

SC

Sequoia Capital Cast

05/07/25

@ Sequoia Capital

As AI agents become more prevalent, the management mindset will need to adapt to understand what these agents can and cannot do, leading to more complex managerial decisions.

TB

Trenton Bricken

05/23/25

@ Dwarkesh Patel

As AI agents begin to work more with each other, the dynamics of their communication and reasoning may evolve significantly.

JD

Jeff Dean

05/12/25

@ Sequoia Capital

The future landscape of AI may involve a combination of large models and smaller, specialized models that work in parallel, leveraging different areas of expertise.

AC

Aparna Chennapragada

05/18/25

@ Lenny's Podcast

The future of product development will involve collaboration between humans and AI agents, where tasks can be delegated to agents to enhance productivity and creativity.

MZ

Mark Zuckerberg

07/30/24

@ NVIDIA

In the future, we will see a proliferation of different AI models, with companies using the largest models for performance optimization.

SA

Scott Alexander

04/04/25

@ Dwarkesh Patel

As we approach mid-2027, the key factors in AI research will be the taste of AI agents and the amount of compute available for experiments, as these will determine the effectiveness of automated AI research.

MZ

Mark Zuckerberg

07/30/24

@ NVIDIA

The future of AI will involve diverse models that allow businesses and creators to customize their AI agents for specific tasks and interactions.