Published Jun 15, 2020

The long road to AGI

Dive into the ethical challenges and advancements in AI as Chris Benson and Daniel Whitenack discuss how bias, transparency, and System 2 learning propel us toward AGI, while exploring reinforcement learning's impact across industries and DARPA's ambitious vision for AI's future.

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Dexa/Practical AI

The long road to AGI

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Understanding Consciousness

Advancements in AI

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Snake Rescue Story

Consciousness and AGI

Reinforcement Learning Basics

Fast vs Slow Thinking

Evolution of Reinforcement Learning

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Evolution of Deep Learning

Diverse Learning Resources

AI World Update

AI Evolution Waves

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Ethics in AI

Reinforcement Learning

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Ethics in AIChris Benson and Daniel Whitenack explore the evolution of AI ethics and the challenges of bias and fairness in AI systems. They discuss the regulatory frameworks and the importance of transparency in AI development.

Ethics in AI

Reinforcement Learning

Future AI TrendsThe podcast explores the evolution of AI towards System 2 learning, emphasizing logical and sequential thinking. It examines DARPA's vision for AI's future and the role of attention and consciousness in advancing towards AGI.

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