Summary

In this episode, Dalton discusses two major topics: Alpha Fold 3 and Chat GPT 4.0. Alpha Fold 3 is a protein structure prediction model that uses machine learning to outperform physics-based models in drug research and DNA research. It has significant improvements over its predecessor, Alpha Fold 2, and has the potential to accelerate drug discovery and testing. Chat GPT 4.0 is a multimodal AI model that allows users to interact with chatbots using voice, vision, and screen sharing capabilities. Dalton highlights the importance of integrating AI into the human world and the commercialization opportunities for these models.

Keywords

Alpha Fold 3, Chat GPT 4.0, protein structure prediction, drug discovery, DNA research, machine learning, AI model, multimodal, commercialization

Takeaways

Alpha Fold 3 is a protein structure prediction model that outperforms physics-based models in drug research and DNA research.
Chat GPT 4.0 is a multimodal AI model that enables users to interact with chatbots using voice, vision, and screen sharing capabilities.
Integrating AI into the human world allows for more natural and interactive experiences.
These models have significant commercialization opportunities in the fields of drug discovery, pharmaceutical licensing, and strategic partnerships.

Sound Bites

"Alpha Fold 3 becomes the first model that has beat a physics-based model, which is huge."
"Alpha Fold 3 can predict dynamics that would normally take weeks or even months to do testing on in a couple hours."
"Google has solidified itself as the leader in drug discovery using AI."

Chapters

00:00 Introduction and Overview
01:24 Alpha Fold 3: Revolutionizing Drug Discovery
15:06 Chat GPT 4.0: The Future of AI Interaction

Show Links

https://blog.google/technology/ai/google-deepmind-isomorphic-alphafold-3-ai-model/

https://golgi.sandbox.google.com/

https://openai.com/index/hello-gpt-4o/