Mainly AI Transistor (https://transistor.fm) https://feeds.transistor.fm/mainly-ai Welcome to Mainly AI — the show where artificial intelligence meets real-world impact. Join your host Dan Mitchell as he and guests explore the latest breakthroughs in AI and other emerging technologies, and how they’re changing business, science, and your everyday life. From startup founders to academic minds, we bring in the experts shaping the future — and break it all down in a way that's smart, sharp, and seriously fun. There's nothing to fear. AI can help humanity in so many ways! It's an exciting time to be alive. (C) 2026 Mainly AI 8f9306b5-550e-53e8-9ec8-a7a39bf5af52 yes Dan Mitchell en Wed, 05 Aug 2026 13:14:29 -0400 Wed, 05 Aug 2026 13:15:06 -0400 https://mainlyaipodcast.com https://img.transistorcdn.com/tEs5uTEA7asPjoByXsS2lHNhcI0j50BQ1EuwtjGZy9Q/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83YWFl/MTZmZDlmMzYxOTRi/YzEzZjA2MzEyODBk/OTc1Ni5wbmc.jpg Mainly AI https://mainlyaipodcast.com episodic Dan Mitchell Welcome to Mainly AI — the show where artificial intelligence meets real-world impact. Join your host Dan Mitchell as he and guests explore the latest breakthroughs in AI and other emerging technologies, and how they’re changing business, science, and your everyday life. From startup founders to academic minds, we bring in the experts shaping the future — and break it all down in a way that's smart, sharp, and seriously fun. There's nothing to fear. AI can help humanity in so many ways! It's an exciting time to be alive. Welcome to Mainly AI — the show where artificial intelligence meets real-world impact. AI, Artificial Intelligence, LLMs, Quantum Computing Dan Mitchell No No Mainly AI Episode 3: Models Are Just Math - The Economics of AI at Scale 3 3 Mainly AI Episode 3: Models Are Just Math - The Economics of AI at Scale full 649cece9-b2e5-426b-9365-2fb7dcc32ac1 https://share.transistor.fm/s/741eb890 MIT’s Manya Ghobadi on AI Economics: Why Token Pricing Misses the Point

Host Dan Mitchell interviews Manya Ghobadi, MIT CSAIL associate professor and founder/CEO of Systalyze, about making AI practical, efficient, and economically viable at scale. Ghobadi explains that AI “models are just math,” with prompt cost driven by model architecture and matrix multiplications, and offers a simple view of LLMs as next-token probability predictors. She argues efficiency should be a first-principles focus, critiques token-based pricing as a flawed proxy for value, and advocates resource-based thinking centered on GPU requirements, deterministic performance, and self-hosted open-source models for enterprises. Drawing on conversations with over 1,000 Fortune 500 AI leads, she notes organizations struggle to measure ROI and maintain efficient GPU clusters as models and libraries change. She contrasts academia’s long-term innovation with industry’s resource-driven progress, calls agentic AI overhyped, and highlights performance and energy efficiency as underestimated, urging listeners to challenge the status quo and choose tools wisely.

00:00 Mainly AI Episode 3 - Models Are Just Math: The Economics of AI at Scale

01:26 AI Is Just Math

04:59 The Economics of AI

14:14 Academia vs. Industry

21:34 Most Overhyped AI Trend

24:19 Most Underestimated AI Trend

27:25 5-Year Prediction


]]> MIT’s Manya Ghobadi on AI Economics: Why Token Pricing Misses the Point

Host Dan Mitchell interviews Manya Ghobadi, MIT CSAIL associate professor and founder/CEO of Systalyze, about making AI practical, efficient, and economically viable at scale. Ghobadi explains that AI “models are just math,” with prompt cost driven by model architecture and matrix multiplications, and offers a simple view of LLMs as next-token probability predictors. She argues efficiency should be a first-principles focus, critiques token-based pricing as a flawed proxy for value, and advocates resource-based thinking centered on GPU requirements, deterministic performance, and self-hosted open-source models for enterprises. Drawing on conversations with over 1,000 Fortune 500 AI leads, she notes organizations struggle to measure ROI and maintain efficient GPU clusters as models and libraries change. She contrasts academia’s long-term innovation with industry’s resource-driven progress, calls agentic AI overhyped, and highlights performance and energy efficiency as underestimated, urging listeners to challenge the status quo and choose tools wisely.

00:00 Mainly AI Episode 3 - Models Are Just Math: The Economics of AI at Scale

01:26 AI Is Just Math

04:59 The Economics of AI

14:14 Academia vs. Industry

21:34 Most Overhyped AI Trend

24:19 Most Underestimated AI Trend

27:25 5-Year Prediction


]]> Tue, 04 Aug 2026 23:30:04 -0400 Dan Mitchell Dan Mitchell 1937 MIT’s Manya Ghobadi on AI Economics: Why Token Pricing Misses the Point

Host Dan Mitchell interviews Manya Ghobadi, MIT CSAIL associate professor and founder/CEO of Systalyze, about making AI practical, efficient, and economically viable at scale. Ghobadi explains that AI “models are just math,” with prompt cost driven by model architecture and matrix multiplications, and offers a simple view of LLMs as next-token probability predictors. She argues efficiency should be a first-principles focus, critiques token-based pricing as a flawed proxy for value, and advocates resource-based thinking centered on GPU requirements, deterministic performance, and self-hosted open-source models for enterprises. Drawing on conversations with over 1,000 Fortune 500 AI leads, she notes organizations struggle to measure ROI and maintain efficient GPU clusters as models and libraries change. She contrasts academia’s long-term innovation with industry’s resource-driven progress, calls agentic AI overhyped, and highlights performance and energy efficiency as underestimated, urging listeners to challenge the status quo and choose tools wisely.

00:00 Mainly AI Episode 3 - Models Are Just Math: The Economics of AI at Scale

01:26 AI Is Just Math

04:59 The Economics of AI

14:14 Academia vs. Industry

21:34 Most Overhyped AI Trend

24:19 Most Underestimated AI Trend

27:25 5-Year Prediction


]]> AI, Artificial Intelligence, LLMs, Quantum Computing No Dan Mitchell Manya Ghobadi Mainly AI Episode 2: AI Snake Oil - are they correct? 2 2 Mainly AI Episode 2: AI Snake Oil - are they correct? full de1bcd07-7b3f-403a-b741-8e67dfd2bf77 https://share.transistor.fm/s/fd1047a2 Mainly AI Episode 2: AI Snake Oil - are they correct?


Welcome back to Mainly AI, where we dive deep into groundbreaking perspectives on mainstream technology. In this episode, we explore a thought-provoking paper that reframes artificial intelligence (AI) as a general-purpose technology, akin to electricity or the internet, rather than a mystical or terrifying force. We discuss the slow but impactful diffusion of AI into society, its business applications, societal and cultural impacts, and the necessary regulations and frameworks needed to guide its responsible use. Understanding AI's limitations and its mirrored reflection of human values is crucial for its future development. Join us as we dispel myths and promote a realistic view of AI's role in our lives.

00:00 Introduction to Mainly AI

01:07 Reframing AI: Not Magic, Just Technology

01:50 Historical Comparisons: Electricity and the Internet

03:24 AI Adoption and Diffusion

04:49 Three Layers of AI Progress

06:54 Regulation and Cultural Acceptance

10:11 Trust and Safety in AI

18:05 AI as a Mirror: Reflections and Responsibilities

21:44 Conclusion and Call to Action

]]> Mainly AI Episode 2: AI Snake Oil - are they correct?


Welcome back to Mainly AI, where we dive deep into groundbreaking perspectives on mainstream technology. In this episode, we explore a thought-provoking paper that reframes artificial intelligence (AI) as a general-purpose technology, akin to electricity or the internet, rather than a mystical or terrifying force. We discuss the slow but impactful diffusion of AI into society, its business applications, societal and cultural impacts, and the necessary regulations and frameworks needed to guide its responsible use. Understanding AI's limitations and its mirrored reflection of human values is crucial for its future development. Join us as we dispel myths and promote a realistic view of AI's role in our lives.

00:00 Introduction to Mainly AI

01:07 Reframing AI: Not Magic, Just Technology

01:50 Historical Comparisons: Electricity and the Internet

03:24 AI Adoption and Diffusion

04:49 Three Layers of AI Progress

06:54 Regulation and Cultural Acceptance

10:11 Trust and Safety in AI

18:05 AI as a Mirror: Reflections and Responsibilities

21:44 Conclusion and Call to Action

]]> Mon, 28 Jul 2025 11:13:32 -0400 Dan Mitchell Dan Mitchell 1411 Mainly AI Episode 2: AI Snake Oil - are they correct?


Welcome back to Mainly AI, where we dive deep into groundbreaking perspectives on mainstream technology. In this episode, we explore a thought-provoking paper that reframes artificial intelligence (AI) as a general-purpose technology, akin to electricity or the internet, rather than a mystical or terrifying force. We discuss the slow but impactful diffusion of AI into society, its business applications, societal and cultural impacts, and the necessary regulations and frameworks needed to guide its responsible use. Understanding AI's limitations and its mirrored reflection of human values is crucial for its future development. Join us as we dispel myths and promote a realistic view of AI's role in our lives.

00:00 Introduction to Mainly AI

01:07 Reframing AI: Not Magic, Just Technology

01:50 Historical Comparisons: Electricity and the Internet

03:24 AI Adoption and Diffusion

04:49 Three Layers of AI Progress

06:54 Regulation and Cultural Acceptance

10:11 Trust and Safety in AI

18:05 AI as a Mirror: Reflections and Responsibilities

21:44 Conclusion and Call to Action

]]> AI, Artificial Intelligence, LLMs, Quantum Computing No Dan Mitchell Viby Jacob Agentic AI Everywhere: The Future of Autonomous Intelligence? 1 1 Agentic AI Everywhere: The Future of Autonomous Intelligence? full d0efeb4b-e056-49ff-8cb0-dd697a505b8a https://share.transistor.fm/s/d98c626c In this episode of Mainly AI, hosts Dan Mitchell and Viby Jacob dive into the topic of agentic AI with guests Neetu Pathak, CEO and co-founder of SkyMel, and Drew Dimmick, CTO and co-founder of Prompt 360. They discuss the necessity of check-in balances for autonomous agents, the implications for various industries, and real-world use cases for these agents, including customer support and enterprise IT management. Ethical considerations and potential ramifications such as the need for governance frameworks and liability issues are explored. The conversation also touches on the future of AI agents in enhancing day-to-day tasks, reducing menial work, and creating new types of jobs. The episode concludes with a discussion on the Model Context Protocol (MCP) and A2A (Agent to Agent) communication protocols that facilitate the cooperation between agents, making systems efficient and flexible.

]]> In this episode of Mainly AI, hosts Dan Mitchell and Viby Jacob dive into the topic of agentic AI with guests Neetu Pathak, CEO and co-founder of SkyMel, and Drew Dimmick, CTO and co-founder of Prompt 360. They discuss the necessity of check-in balances for autonomous agents, the implications for various industries, and real-world use cases for these agents, including customer support and enterprise IT management. Ethical considerations and potential ramifications such as the need for governance frameworks and liability issues are explored. The conversation also touches on the future of AI agents in enhancing day-to-day tasks, reducing menial work, and creating new types of jobs. The episode concludes with a discussion on the Model Context Protocol (MCP) and A2A (Agent to Agent) communication protocols that facilitate the cooperation between agents, making systems efficient and flexible.

]]> Wed, 23 Apr 2025 09:12:00 -0400 Dan Mitchell Dan Mitchell 4036 In this episode of Mainly AI, hosts Dan Mitchell and Viby Jacob dive into the topic of agentic AI with guests Neetu Pathak, CEO and co-founder of SkyMel, and Drew Dimmick, CTO and co-founder of Prompt 360. They discuss the necessity of check-in balances for autonomous agents, the implications for various industries, and real-world use cases for these agents, including customer support and enterprise IT management. Ethical considerations and potential ramifications such as the need for governance frameworks and liability issues are explored. The conversation also touches on the future of AI agents in enhancing day-to-day tasks, reducing menial work, and creating new types of jobs. The episode concludes with a discussion on the Model Context Protocol (MCP) and A2A (Agent to Agent) communication protocols that facilitate the cooperation between agents, making systems efficient and flexible.

]]> AI, Artificial Intelligence, LLMs, Quantum Computing No Dan Mitchell Viby Jacob Drew Dimmick Neetu Pathak