The AI-powered Era of Scientific Discovery Is Here - Ep. 25 with Dr. Bradley Love

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Jul 10, 2024

Dr. Bradley Love, a UCL professor and creator of BrainGPT, explores the revolutionary potential of AI in neuroscience. He reveals how his tool predicts research outcomes better than human experts, challenging traditional ways of understanding complex systems. Love discusses the implications of AI on scientific discovery and the need for advanced tools to keep pace with expanding knowledge. He also critiques oversimplified scientific narratives and suggests a shift towards computational skills to enhance research complexity.

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INSIGHT

Predictive Neuroscience

BrainGPT predicts outcomes of neuroscience studies, potentially outperforming human experts.
This predictive capability aids in designing more informative studies and addressing reproducibility issues.

INSIGHT

Perplexity over Prompting

Accessing model weights and calculating perplexity scores improves prediction accuracy.
This approach offers a more effective way to evaluate scientific abstracts than traditional prompting.

INSIGHT

Shifting Focus from Explanation to Prediction

Clean scientific explanations might become less relevant due to the increasing complexity of systems.
Prediction could take precedence, with explanations becoming more general and less equation-like.

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Dr. Bradley Love is building a tool that can predict the future.

Dr. Bradley Love is transforming neuroscience research with AI.

He's the creator of BrainGPT, a large language model that can predict the results of neuroscience studies—before they’re conducted. And it performs better than human experts.

We spent 90 minutes exploring how AI is reshaping scientific research and our understanding of the brain.

Bradley argues that as scientific knowledge grows exponentially, we need new tools to make sense of it all. BrainGPT isn't just summarizing existing research—it's predicting future discoveries.

We get into: • How BrainGPT outperforms neuroscience professors • Why clean scientific explanations may be a thing of the past • The challenges of interpreting complex biological systems • How AI could change the way we approach scientific research • The limitations of our intuitive understanding of the brain

This is a must-watch for anyone interested in the future of science, AI, and how we understand the human mind.

If you found this episode interesting, please like, subscribe, comment, and share! Want even more? Sign up for Every to unlock our ultimate guide to prompting ChatGPT here. It’s usually only for paying subscribers, but you can get it here for free. To hear more from Dan Shipper: • Subscribe to Every: https://every.to/subscribe • Follow him on X: https://twitter.com/danshipper

Timestamps: 00:00:00 - Teaser 00:01:00 - Introduction 00:01:58 - The motivations behind building a LLM that can predict the future 00:11:14 - How studying the brain can solve the AI revolution’s energy problem 00:13:32 - Dr. Love and his team have developed a new way to prompt AI 00:18:27 - Dan’s take on how AI is changing science 00:22:54 - Why clean scientific explanations are a thing of the past 00:29:49 - How our understanding of explanations will evolve 00:37:31 - Why Dr. Love thinks the way we do scientific research is flawed 00:40:42 - Why humans are drawn to simple explanations 00:45:03 - How Dr. Love would rebuild the field of science

Links to resources mentioned in the episode: Dr. Bradley Love: https://bradlove.org/; https://twitter.com/ProfData BrainGPT: https://braingpt.org/ Thomas Nagel’s book on the philosophy of science that Dr. Love recommends: The View From Nowhere The essay that Thomas Nagel is famous for: What is it like to be a bat?