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MBP #146 Andrew Gerrand AKA enneff

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Manage episode 414542034 series 2540967
Inhalt bereitgestellt von Bill Day. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Bill Day oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

Bio:

nf (aka enneff aka Andrew) lives on the east coast of Australia. As a programmer, he has built Open Source Software at Google Australia for the last 14 years. Originally part of the team that built the Go programming language (go.dev), he went on to co-create the Upspin storage system (upspin.io), and lead the team behind Open Source Insights (deps.dev). As a musician he uploads clips to Instagram and sometimes produces dreamy IDM tunes. His new single 'Andromeda' is out now on streaming services.

Summary: In this conversation, Andrew discusses his background as a programmer and his work on the programming language Go. He also talks about his involvement in securing supply chain issues and his role on the board of a wildlife hospital. The conversation then shifts to the topic of developing programming languages and the process involved. Andrew explains the evolution of programming languages from machine code to more abstract concepts and the role of compilers. The conversation also touches on the impact of AI on programming and the limitations of language models in writing code. The discussion concludes with a conversation about the ethical implications of using data to train AI models. The conversation explores the power requirements and environmental costs of compute farms, the potential for AI-generated music, the role of AI in the creative process, the importance of the artist in music, the ethical considerations of using AI-generated content, the impact of technology on society and capitalism, and the potential pitfalls of AI. enneff links

Mr. Bill's Links

Chapters:

00:00 Introduction and Background 05:23 The Development of Programming Languages 25:43 Ethical Implications of Using Data to Train AI Models 31:19 The Power Requirements and Environmental Costs of Compute Farms 32:45 Exploring the Potential of AI-Generated Music 38:22 The Role of the Artist in Music Creation 43:59 Ethical Considerations of AI-Generated Content 49:48 The Impact of Technology on Society and Capitalism 53:19 The Pitfalls of AI and the Need for Human Connection

  continue reading

158 Episoden

Artwork
iconTeilen
 
Manage episode 414542034 series 2540967
Inhalt bereitgestellt von Bill Day. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Bill Day oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

Bio:

nf (aka enneff aka Andrew) lives on the east coast of Australia. As a programmer, he has built Open Source Software at Google Australia for the last 14 years. Originally part of the team that built the Go programming language (go.dev), he went on to co-create the Upspin storage system (upspin.io), and lead the team behind Open Source Insights (deps.dev). As a musician he uploads clips to Instagram and sometimes produces dreamy IDM tunes. His new single 'Andromeda' is out now on streaming services.

Summary: In this conversation, Andrew discusses his background as a programmer and his work on the programming language Go. He also talks about his involvement in securing supply chain issues and his role on the board of a wildlife hospital. The conversation then shifts to the topic of developing programming languages and the process involved. Andrew explains the evolution of programming languages from machine code to more abstract concepts and the role of compilers. The conversation also touches on the impact of AI on programming and the limitations of language models in writing code. The discussion concludes with a conversation about the ethical implications of using data to train AI models. The conversation explores the power requirements and environmental costs of compute farms, the potential for AI-generated music, the role of AI in the creative process, the importance of the artist in music, the ethical considerations of using AI-generated content, the impact of technology on society and capitalism, and the potential pitfalls of AI. enneff links

Mr. Bill's Links

Chapters:

00:00 Introduction and Background 05:23 The Development of Programming Languages 25:43 Ethical Implications of Using Data to Train AI Models 31:19 The Power Requirements and Environmental Costs of Compute Farms 32:45 Exploring the Potential of AI-Generated Music 38:22 The Role of the Artist in Music Creation 43:59 Ethical Considerations of AI-Generated Content 49:48 The Impact of Technology on Society and Capitalism 53:19 The Pitfalls of AI and the Need for Human Connection

  continue reading

158 Episoden

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