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The BIGGEST Problem with AI Agents in 2025 with Alex Mead

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Manage episode 474560591 series 3650620
Content provided by Thinktank. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Thinktank 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://ppacc.player.fm/legal.

In this episode of AI Lab Unfiltered, hosts Drew and Pete discuss the latest advancements in AI with their guest, Alex Mead. The conversation covers the implications of AI reasoning, the significance of the chain of thought concept, and the potential concerns regarding data privacy when using AI models. The episode also explores the accessibility of running AI models locally and the technical aspects of quantization. In this conversation, the speakers delve into the distinctions between AI automation and AI agents, exploring their applications in various industries. They discuss the evolving definitions of AI, the frameworks being developed, and the potential future of AI influencers and companions. The dialogue highlights the rapid advancements in AI technology and its implications for society. In this conversation, the speakers delve into the multifaceted role of AI in addressing loneliness, the debate between open source and closed source models, the implications of regulation on AI development, and innovative applications of AI in communication. They explore how AI can provide companionship for those in lonely situations, the importance of transparency in AI models, and the need for balanced regulation to foster innovation while ensuring safety.

Chapters

(00:00) Introduction to AI and Guest Background
(01:29) DeepSeek: The New AI Model
(03:50) Understanding Chain of Thought and Reasoning in AI
(09:04) DeepSeek's Impact on the AI Landscape
(11:59) Concerns About Data Privacy with DeepSeek
(14:56) Running AI Models Locally and Their Accessibility
(18:14) Understanding AI Automation and Agents
(21:37) The Evolution of AI Definitions
(24:54) AI Frameworks and Their Applications
(27:57) The Future of AI Influencers
(34:39) AI Companions and Their Impact
(35:26) The Role of AI in Combating Loneliness
(38:16) Open Source vs Closed Source AI Models
(41:10) Regulation and Its Impact on AI Development
(44:51) The Future of AI: Tools and Applications
(48:09) Innovative AI Solutions in Communication

  continue reading

14 episodes

Artwork
iconShare
 
Manage episode 474560591 series 3650620
Content provided by Thinktank. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Thinktank 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://ppacc.player.fm/legal.

In this episode of AI Lab Unfiltered, hosts Drew and Pete discuss the latest advancements in AI with their guest, Alex Mead. The conversation covers the implications of AI reasoning, the significance of the chain of thought concept, and the potential concerns regarding data privacy when using AI models. The episode also explores the accessibility of running AI models locally and the technical aspects of quantization. In this conversation, the speakers delve into the distinctions between AI automation and AI agents, exploring their applications in various industries. They discuss the evolving definitions of AI, the frameworks being developed, and the potential future of AI influencers and companions. The dialogue highlights the rapid advancements in AI technology and its implications for society. In this conversation, the speakers delve into the multifaceted role of AI in addressing loneliness, the debate between open source and closed source models, the implications of regulation on AI development, and innovative applications of AI in communication. They explore how AI can provide companionship for those in lonely situations, the importance of transparency in AI models, and the need for balanced regulation to foster innovation while ensuring safety.

Chapters

(00:00) Introduction to AI and Guest Background
(01:29) DeepSeek: The New AI Model
(03:50) Understanding Chain of Thought and Reasoning in AI
(09:04) DeepSeek's Impact on the AI Landscape
(11:59) Concerns About Data Privacy with DeepSeek
(14:56) Running AI Models Locally and Their Accessibility
(18:14) Understanding AI Automation and Agents
(21:37) The Evolution of AI Definitions
(24:54) AI Frameworks and Their Applications
(27:57) The Future of AI Influencers
(34:39) AI Companions and Their Impact
(35:26) The Role of AI in Combating Loneliness
(38:16) Open Source vs Closed Source AI Models
(41:10) Regulation and Its Impact on AI Development
(44:51) The Future of AI: Tools and Applications
(48:09) Innovative AI Solutions in Communication

  continue reading

14 episodes

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