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Manage episode 397781816 series 3549875
Innehåll tillhandahållet av MeshMesh, Inc.. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av MeshMesh, Inc. eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.


Episode Overview:

In this fascinating episode of the "What If We Could" podcast, host David DeVore and the MeshMesh team - Bob, Calvin, and Kevin - delve into the dynamic world of artificial intelligence and its evolving impact on technology and society.


Highlights:

  • AI's Energy Consumption: A deep dive into a Time Magazine article predicting AI trends for 2024, discussing the significant energy demands of AI data centers, and contrasting it with the environmental impact of Bitcoin.
  • The Trough of Disillusionment: An exploration of the expected downturn in AI and blockchain enthusiasm, followed by potential mainstream adoption.
  • Hyper-Automation in Business: Insights into how businesses leveraging AI can achieve significant reductions in time and costs, setting the stage for advancements in 2025.
  • Computational Ownership: A debate on who holds the reins in computing power, focusing on the roles of Nvidia and other key players in surviving the trough of disillusionment.
  • Evolution of Language Models: A discussion on the advancements in large language models, open-source developments, and their implications for future technology.
  • Democratizing AI: Examining the release of serverless models by Pinecone and its impact on making AI more accessible, including the role of retrieval augmented generation (RAG) in transforming data management.
  • Breakthroughs in Image Generation: Unveiling the potential of stream diffusion and its revolutionary impact on real-time image generation and its applications.
  • AI in Customer Service: Analyzing the role of AI in automating customer service and sales processes, and the emotional intelligence integrated into AI interactions.
  • AI, Vector Databases, and Blockchain: Discussing the intersection of AI with vector databases and blockchain technology, and its implications for businesses and legal frameworks.
  • AI and Copyright Laws: A thought-provoking conversation on the complex legal and ethical aspects of AI in the context of copyright laws.

Join us for an episode packed with expert insights, where we explore the latest trends, challenges, and breakthroughs in AI, offering a glimpse into what the future holds in this rapidly advancing field.

  continue reading

14 episoder

Artwork
iconDela
 
Manage episode 397781816 series 3549875
Innehåll tillhandahållet av MeshMesh, Inc.. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av MeshMesh, Inc. eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.


Episode Overview:

In this fascinating episode of the "What If We Could" podcast, host David DeVore and the MeshMesh team - Bob, Calvin, and Kevin - delve into the dynamic world of artificial intelligence and its evolving impact on technology and society.


Highlights:

  • AI's Energy Consumption: A deep dive into a Time Magazine article predicting AI trends for 2024, discussing the significant energy demands of AI data centers, and contrasting it with the environmental impact of Bitcoin.
  • The Trough of Disillusionment: An exploration of the expected downturn in AI and blockchain enthusiasm, followed by potential mainstream adoption.
  • Hyper-Automation in Business: Insights into how businesses leveraging AI can achieve significant reductions in time and costs, setting the stage for advancements in 2025.
  • Computational Ownership: A debate on who holds the reins in computing power, focusing on the roles of Nvidia and other key players in surviving the trough of disillusionment.
  • Evolution of Language Models: A discussion on the advancements in large language models, open-source developments, and their implications for future technology.
  • Democratizing AI: Examining the release of serverless models by Pinecone and its impact on making AI more accessible, including the role of retrieval augmented generation (RAG) in transforming data management.
  • Breakthroughs in Image Generation: Unveiling the potential of stream diffusion and its revolutionary impact on real-time image generation and its applications.
  • AI in Customer Service: Analyzing the role of AI in automating customer service and sales processes, and the emotional intelligence integrated into AI interactions.
  • AI, Vector Databases, and Blockchain: Discussing the intersection of AI with vector databases and blockchain technology, and its implications for businesses and legal frameworks.
  • AI and Copyright Laws: A thought-provoking conversation on the complex legal and ethical aspects of AI in the context of copyright laws.

Join us for an episode packed with expert insights, where we explore the latest trends, challenges, and breakthroughs in AI, offering a glimpse into what the future holds in this rapidly advancing field.

  continue reading

14 episoder

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