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DP

Dwarkesh Patel Cast

05/23/25

@ Dwarkesh Patel

We often underutilize models, expecting them to solve tasks quickly without giving them enough time to iterate and improve.

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

DP

Dwarkesh Patel Cast

05/23/25

@ Dwarkesh Patel

We tend to give up on AI models much faster than we would on human employees, despite the need for patience in both cases.

A

Anthropic Cast

02/13/25

@ Anthropic

If your product's success depends solely on the models getting smarter, you're likely building the wrong thing. Instead, create something that improves as the models advance.

DH

Diana Hu

04/22/23

@ Y Combinator

Common mistakes in prototyping include overbuilding and not engaging with users early enough to gather feedback.

AJ

Amit Jain

05/16/25

@ EO

With large models, you can't predict how users will interact with them, so it's crucial to observe their usage to understand successes and failures.

A

Anthropic Cast

09/06/24

@ Anthropic

Treating the model as capable and giving it complex instructions can lead to better outcomes than simplifying the task.

Gf

Google for Developers Cast

05/23/25

@ Google for Developers

Developers should be agile and continuously experiment with technology, as many ideas may not work initially but could succeed in future iterations of the models.

AA

Amanda Askell

09/06/24

@ Anthropic

As models improve, it's often more effective to communicate the specific task directly rather than using metaphors or role-based prompts.

A

Anthropic Cast

04/24/25

@ Anthropic

There's a risk of overcomplicating prompts by trying to anticipate every possible issue the model might face, which can lead to ineffective results.

YC

Y Combinator Cast

02/09/24

@ Y Combinator

Using large language models as prototyping tools can be effective; they allow for rapid development and testing of ideas before creating more specialized models tailored to specific tasks.