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AGI: kind of nonsense?

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Content provided by John Koetsier. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by John Koetsier or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Is AGI just a really dumb idea?

Is the concept essentially meaningless?

And are we entirely barking up the wrong tree?

In this episode of TechFirst, host John Koetsier interviews Neil Lawrence, the DeepMind Professor of Machine Learning at the University of Cambridge and senior Fellow at the Alan Turing Institute about his latest book 'The Atomic Human: What Makes Us Unique in the Age of AI.'

Lawrence explores the complexities of human intelligence, the misconceptions around artificial general intelligence (AGI), and the implications of large language models (LLMs) like ChatGPT. He also discusses the limitations and strengths of human decision-making, the potential risks of AI, and the importance of preserving human culture and diversity in intelligence. The conversation delves into the role of AI in enhancing human capabilities, the challenges in deploying AI in sensitive areas, and the necessity for regulatory interventions to maintain a balanced technological ecosystem.

00:00 Introduction

00:40 Meet Neil Lawrence: AI Expert

01:19 The Atomic Human: Book Insights

02:26 Philosophical Perspectives on AI

04:16 Neil Lawrence's Journey into AI

05:45 Current State of AI and AGI

08:06 The Complexity of Intelligence

18:31 Corporate Culture and Innovation

20:00 The Impact of Large Language Models

23:18 Exploring AI as an Interface

28:53 The Evolution of Internet Search

29:57 Human Flaws as Strengths

31:06 Collective Intelligence and Decision Making

33:16 AI and the River Gods

35:21 The Complexity of Culture and Technology

40:49 Regulating AI and Digital Markets

52:31 The Role of Teachers and Human Connection

55:17 Concluding Thoughts and Optimism

  continue reading

320 episodes

Artwork

AGI: kind of nonsense?

TechFirst with John Koetsier

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published

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Manage episode 442148108 series 2809813
Content provided by John Koetsier. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by John Koetsier or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Is AGI just a really dumb idea?

Is the concept essentially meaningless?

And are we entirely barking up the wrong tree?

In this episode of TechFirst, host John Koetsier interviews Neil Lawrence, the DeepMind Professor of Machine Learning at the University of Cambridge and senior Fellow at the Alan Turing Institute about his latest book 'The Atomic Human: What Makes Us Unique in the Age of AI.'

Lawrence explores the complexities of human intelligence, the misconceptions around artificial general intelligence (AGI), and the implications of large language models (LLMs) like ChatGPT. He also discusses the limitations and strengths of human decision-making, the potential risks of AI, and the importance of preserving human culture and diversity in intelligence. The conversation delves into the role of AI in enhancing human capabilities, the challenges in deploying AI in sensitive areas, and the necessity for regulatory interventions to maintain a balanced technological ecosystem.

00:00 Introduction

00:40 Meet Neil Lawrence: AI Expert

01:19 The Atomic Human: Book Insights

02:26 Philosophical Perspectives on AI

04:16 Neil Lawrence's Journey into AI

05:45 Current State of AI and AGI

08:06 The Complexity of Intelligence

18:31 Corporate Culture and Innovation

20:00 The Impact of Large Language Models

23:18 Exploring AI as an Interface

28:53 The Evolution of Internet Search

29:57 Human Flaws as Strengths

31:06 Collective Intelligence and Decision Making

33:16 AI and the River Gods

35:21 The Complexity of Culture and Technology

40:49 Regulating AI and Digital Markets

52:31 The Role of Teachers and Human Connection

55:17 Concluding Thoughts and Optimism

  continue reading

320 episodes

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