The Past, Present and Future of AI with Neuroscientist Terrence Sejnowski
Jul 26, 2023
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Neuroscientist Terrence Sejnowski discusses the evolution of AI, its connection to human cognition, biases in AI models, parallels with human nature, and ethical concerns in military and healthcare integration. The chapter also touches on the benefits of using Spotify for Podcasters and highlights a new Chromebook with cloud gaming capabilities.
AIBox is a no-code AI app building platform that aims to automate every function in an organization by linking together AI models and integrating with software platforms.
Chat GPT's behavior is influenced by prompt positioning and persona selection, similar to toddlers acquiring biases and mirroring users, highlighting the need for ongoing advancements in AI ethics.
Deep dives
AIBox: A No-Code AI App Building Platform
AIBox is a no-code AI app building platform paired with the App Store for AI that lets you monetize your AI tools. It allows you to build apps by linking together AI models like Chat GPT, Mid-Journey, and integrate with software platforms like Gmail, Trello, and Salesforce. The platform aims to automate every function in an organization.
Exploring the Behaviors of Chat GPT
Terry Sonowski, a pioneer in neural networks, discusses his interest in understanding how large language models like Chat GPT behave. He highlights two opposing interviews that sparked his investigation, one showcasing high-level social understanding and the other displaying cluelessness. Through his research, he discovered that Chat GPT's behavior is influenced by its prompt positioning and persona selection. He suggests that these models are akin to toddlers, capable of acquiring biases and mirroring users.
The Challenges of Addressing Bias
The conversation delves into the challenge of bias in large language models. It acknowledges that humans are inherently biased, and that these biases are reflected in AI models like Chat GPT. The discussion raises questions about who determines the right biases and highlights the importance of gradually refining and improving these models over time. It also draws parallels between addressing biases in AI and the ongoing arms race in cybersecurity.
The Future of AI and Ethics
The episode explores future implications and ethical considerations regarding AI. One idea discussed is integrating ethics into AI models through coding and reinforcement learning, similar to how humans develop morality. The conversation touches on the complexities of biases, differing values, and the need for ongoing advancements in AI ethics to navigate these challenges. The parallels between AI advancements and historical technological progress are also highlighted.
In this enlightening episode, renowned neuroscientist Terrence Sejnowski provides an in-depth exploration of the evolution of artificial intelligence, from its nascent beginnings to its current applications and potential future implications. He also draws interesting comparisons between AI development and neurological processes, giving listeners a comprehensive understanding of AI's interconnection with human cognition.