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Eric Elliott, Author of The Art of Effortless Programming: Unleashing the Power of AI Driven Development

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Treść dostarczona przez Len Epp. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Len Epp lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.
Eric Elliott is the author of the Leanpub book The Art of Effortless Programming: Unleashing the Power of AI Driven Development. In this interview, Leanpub co-founder Len Epp talks with Eric about his early fascination with AI, starting from when he was six years old, writing text-based adventure games, and developing his first neural network in the late 90s. Eric shares his career journey, from pioneering AI-driven development, to his role at Adobe Firefly, focusing on generative AI. He explains key breakthroughs in AI technology, including the significance of the 2017 paper “Attention Is All You Need” that introduced the Transformer model, which revolutionized natural language processing and paved the way for large language models like GPT-3 and GPT-4. The conversation covers the concept of “functional understanding” in AI, where models exhibit an ability to solve problems, reason, and provide explanations much like humans, without necessarily being conscious. Eric clarifies the distinction between functional and conscious understanding and delves into the debate over AI’s capabilities and limitations. He emphasizes the importance of adopting a practical approach to AI development, treating it like collaborating with a human coworker. Eric also discusses the role of pseudocode languages like SudoLang, a language designed for AI-driven development. He explains how tools like SudoLang can significantly boost developer productivity, enabling even non-programmers to build complex software solutions by leveraging AI capabilities. The episode concludes with a discussion on the future of AI in software development and the broader impacts on industries, society, and the economy. Eric anticipates that AI will continue to disrupt job markets while also creating opportunities for innovation and growth. He advocates for preparing for these changes by embracing AI tools and methodologies in the software development processes. This interview was recorded on August 29, 2024. The full audio for the interview is here: https://s3.amazonaws.com/leanpub_podcasts/FM301-Eric-Elliott-2024-08-29.mp3. The Frontmatter podcast is available on our YouTube channel at https://www.youtube.com/leanpub, in Apple Podcasts here https://podcasts.apple.com/ca/podcast/frontmatter/id517117137, and almost everywhere else people listen to podcasts. This interview has been edited for conciseness and clarity.
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iconUdostępnij
 
Manage episode 440302200 series 1742612
Treść dostarczona przez Len Epp. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Len Epp lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.
Eric Elliott is the author of the Leanpub book The Art of Effortless Programming: Unleashing the Power of AI Driven Development. In this interview, Leanpub co-founder Len Epp talks with Eric about his early fascination with AI, starting from when he was six years old, writing text-based adventure games, and developing his first neural network in the late 90s. Eric shares his career journey, from pioneering AI-driven development, to his role at Adobe Firefly, focusing on generative AI. He explains key breakthroughs in AI technology, including the significance of the 2017 paper “Attention Is All You Need” that introduced the Transformer model, which revolutionized natural language processing and paved the way for large language models like GPT-3 and GPT-4. The conversation covers the concept of “functional understanding” in AI, where models exhibit an ability to solve problems, reason, and provide explanations much like humans, without necessarily being conscious. Eric clarifies the distinction between functional and conscious understanding and delves into the debate over AI’s capabilities and limitations. He emphasizes the importance of adopting a practical approach to AI development, treating it like collaborating with a human coworker. Eric also discusses the role of pseudocode languages like SudoLang, a language designed for AI-driven development. He explains how tools like SudoLang can significantly boost developer productivity, enabling even non-programmers to build complex software solutions by leveraging AI capabilities. The episode concludes with a discussion on the future of AI in software development and the broader impacts on industries, society, and the economy. Eric anticipates that AI will continue to disrupt job markets while also creating opportunities for innovation and growth. He advocates for preparing for these changes by embracing AI tools and methodologies in the software development processes. This interview was recorded on August 29, 2024. The full audio for the interview is here: https://s3.amazonaws.com/leanpub_podcasts/FM301-Eric-Elliott-2024-08-29.mp3. The Frontmatter podcast is available on our YouTube channel at https://www.youtube.com/leanpub, in Apple Podcasts here https://podcasts.apple.com/ca/podcast/frontmatter/id517117137, and almost everywhere else people listen to podcasts. This interview has been edited for conciseness and clarity.
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