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TB

Trenton Bricken

05/23/25

@ Dwarkesh Patel

In medical diagnostics, models can demonstrate impressive reasoning capabilities, mapping symptoms to correct medical cases effectively.

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

TB

Trenton Bricken

05/23/25

@ Dwarkesh Patel

OpenAI's recent paper shows that models can effectively grade medical answers based on specific criteria, indicating their potential in other domains.

PH

Patrick Hsu

04/15/25

@ Sequoia Capital

The model can interpret genetic mutations and provide insights into their functional consequences, which is state-of-the-art in computational biology.

JB

Joelle Barral

05/09/25

@ Google DeepMind

Large language models can significantly improve healthcare by providing access to a wealth of knowledge, potentially changing the way rare conditions are treated.

JB

Joelle Barral

05/09/25

@ Google DeepMind

AI can help create a new gold standard in medical diagnosis by providing consistent results where human experts may disagree.

JD

Jeff Dean

08/08/17

@ Y Combinator

Neural networks have the potential to significantly impact healthcare by analyzing vast amounts of patient data to provide accurate diagnoses based on similar cases.

JB

Joelle Barral

05/09/25

@ Google DeepMind

AI can analyze medical images, but establishing a reliable ground truth for diagnoses can be challenging due to differing opinions among experts.

JD

Jeff Dean

08/08/17

@ Y Combinator

In domains like healthcare, providing interpretable predictions is crucial, as users need to understand the reasoning behind machine learning recommendations.

JB

Joelle Barral

05/09/25

@ Google DeepMind

The AMIE project explores how large language models can engage in diagnostic conversations, asking the right questions like a physician would during patient interactions.

YC

Y Combinator Cast

09/22/23

@ Y Combinator

AI systems struggle to accurately verify information, which can lead to significant issues in critical fields like medicine, where incorrect diagnoses can have serious consequences.