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TB

Trenton Bricken

05/23/25

@ Dwarkesh Patel

Teaching models to write effectively requires careful selection of human writers to avoid encouraging poor quality outputs.

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

SA

Sam Altman

09/25/24

@ David Perell

Teaching writing should focus on storytelling, as beautiful writing without an engaging story fails to captivate readers.

SA

Sam Altman

09/25/24

@ David Perell

Many of us will write differently in the future, not just relying on large language models to generate content for us, but using them as tools to discover new ideas.

A

Anthropic Cast

09/06/24

@ Anthropic

Reading model outputs closely is essential; it helps identify misunderstandings and refine prompts for better performance.

MB

Matt Biilmann

03/08/25

@ a16z

The skill of prompting AI models is crucial; those who understand how to communicate effectively with these models can create more sophisticated and creative outputs.

A

Anthropic Cast

09/06/24

@ Anthropic

Reading prompts and model outputs closely helps improve prompting skills; experimentation is key.

TB

Trenton Bricken

05/23/25

@ Dwarkesh Patel

The challenge of reducing 'slop' in model outputs involves teaching models to produce more elegant and effective solutions, especially in coding.

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.

EK

Ezra Klein

05/28/25

@ David Perell

The most important thing for a writer is to trust their editor's judgment on what is good and what isn't.

HC

Harrison Chase

05/28/25

@ LangChain

Using LLMs as judges for evaluating outputs is promising, but it requires careful prompt engineering to ensure accurate grading of responses.