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EP 278 Peter Wang on AI, Copyright, and the Future of Intelligence

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Manage episode 459024655 series 2569859
Contenido proporcionado por The Jim Rutt Show. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente The Jim Rutt Show o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Jim has a wide-ranging conversation with recurring guest Peter Wang on AI copyright frameworks and the rapidly changing tech landscape. They discuss "the Chattening" (ChatGPT's release in November 2022) & its impact, parallels between current AI & the invention of science, humans as narrow-band sensors, cybernetics & control systems, the unbearable slowness of being, the Platonic Representation Hypothesis, language & intelligence, why eyeballs are white, copyright challenges with AI, the Anaconda ML Public License framework for AI rights & usage permissions, AI's impact on various industries, impacts on software engineering careers, giant frontier models vs specialty models, AI models' convergence on underlying reality, representation complexity, evaluation frameworks, and much more. Episode Transcript JRS EP16 - Anaconda CTO Peter Wang on The Distributed Internet JRS Currents 092: Peter Wang on The Meaning Crisis and Consequentiality "The Unbearable Slowness of Being: Why do we live at 10 bits/s?" by Jieyu Zheng & Markus Meister "The Platonic Representation Hypothesis," by Minyoung Huh, Brian Cheung, Tongzhou Wang, & Phillip Isola "Selling Wine Without Bottles: The Economy of Mind on the Global Net," by John Perry Barlow Bluesky Qwen2.5 Instruct (model) Peter Wang is the Chief AI and Innovation Officer and Co-founder of Anaconda. Peter leads Anaconda’s AI Incubator, which focuses on advancing core Python technologies and developing new frontiers in open-source AI and machine learning, especially in the areas of edge computing, data privacy, and decentralized computing.
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394 episodios

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Manage episode 459024655 series 2569859
Contenido proporcionado por The Jim Rutt Show. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente The Jim Rutt Show o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Jim has a wide-ranging conversation with recurring guest Peter Wang on AI copyright frameworks and the rapidly changing tech landscape. They discuss "the Chattening" (ChatGPT's release in November 2022) & its impact, parallels between current AI & the invention of science, humans as narrow-band sensors, cybernetics & control systems, the unbearable slowness of being, the Platonic Representation Hypothesis, language & intelligence, why eyeballs are white, copyright challenges with AI, the Anaconda ML Public License framework for AI rights & usage permissions, AI's impact on various industries, impacts on software engineering careers, giant frontier models vs specialty models, AI models' convergence on underlying reality, representation complexity, evaluation frameworks, and much more. Episode Transcript JRS EP16 - Anaconda CTO Peter Wang on The Distributed Internet JRS Currents 092: Peter Wang on The Meaning Crisis and Consequentiality "The Unbearable Slowness of Being: Why do we live at 10 bits/s?" by Jieyu Zheng & Markus Meister "The Platonic Representation Hypothesis," by Minyoung Huh, Brian Cheung, Tongzhou Wang, & Phillip Isola "Selling Wine Without Bottles: The Economy of Mind on the Global Net," by John Perry Barlow Bluesky Qwen2.5 Instruct (model) Peter Wang is the Chief AI and Innovation Officer and Co-founder of Anaconda. Peter leads Anaconda’s AI Incubator, which focuses on advancing core Python technologies and developing new frontiers in open-source AI and machine learning, especially in the areas of edge computing, data privacy, and decentralized computing.
  continue reading

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