Into the Impossible With Brian Keating

How to train ChatGPT to serve you | AI Legend Terry Sejnowski [Ep. 475]

Jan 19, 2025

Terry Sejnowski, a leading computational neuroscientist and AI pioneer from the Salk Institute, joins the conversation to unravel the complexities of artificial intelligence and human reasoning. He discusses the innovative use of ChatGPT in writing and the importance of clear prompts. The 'mirror hypothesis' reveals how AI reflects human intentions and emotions. Sejnowski also explores AI's potential to enhance productivity while addressing ethical dilemmas, the balance of reliance on technology, and the future trajectory of AI development.

01:01:09

Episode guests

Terry Sejnowski

AI Summary

AI Chapters

Episode notes

Podcast summary created with Snipd AI

Quick takeaways

AI tools like ChatGPT reflect the intelligence of users, requiring thoughtful engagement for meaningful interactions and outcomes.

Prompt engineering is crucial for effective communication with AI, as refining queries significantly impacts the quality of generated responses.

While AI can enhance productivity, its reliance may inhibit the development of human cognitive skills, raising important ethical considerations.

Deep dives

The Nature of AI as a Tool

AI, such as ChatGPT, functions as a tool that reflects the input it receives, similar to a mirror, interpreting the intelligence behind the questions posed. This adaptability demonstrates how AI generates responses based on the complexity of the prompts, suggesting that users must engage with it thoughtfully for meaningful results. The analogy likens AI to a shovel, emphasizing the need for proper technique to extract deeper insights than one could achieve manually. The discussion clarifies that AI should not be compared directly to human thought processes but viewed as an engineering solution that enhances our problem-solving capabilities.

Intro

3min

AI and the Writing Revolution

6min

The Dual Edge of Technology

8min

Capabilities and Limits of Language Models in Science

6min

The Evolution of AI Processing Architectures

2min

Foundations of Neural Networks

6min

Revolutionizing Language Learning Through Neural Networks

2min

AI Limitations and Potential Breakthroughs

10min

Exploring Dimensions and the Mathematics of AI

5min

10.

Exploring AI's Reflection of Human Desires

9min

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Can AI tools like ChatGPT actually "think," or is it just really good at mimicking human conversation? How much of what AI spits out is a reflection of our own ideas and intentions? And where's all this tech headed in the future?

Today, I’m joined by Terry Sejnowski, a renowned computational neuroscientist and pioneer in AI and deep learning. Based at the Salk Institute for Biological Studies and the University of California, San Diego, he bridges neuroscience and AI to explore how biological brains and artificial systems learn and process information.

Terry is also the co-creator of the Boltzmann Machine, a game-changing algorithm that has shaped today’s AI and is a foundation for modern neural networks. He has also written some incredible books, including The Deep Learning Revolution” and “ChatGPT and the Future of AI.

In our conversation, we discuss the current state of AI, what’s next, the ins and outs of prompt engineering, the mirror hypothesis (how AI reflects us), its impact on productivity, and the ethical challenges we must tackle.

Tune in to discover the truth about AI!

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Key Takeaways: