Everyday AI Podcast – An AI and ChatGPT Podcast

Ep 511: The Mad Dash To Cash in On AI. Is AI overhyped AND underhyped?


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AI is both overhyped and underestimated. Yeah, read that again shorties. 

Everyone’s screaming about AI like it’s magic. Spoiler: It’s not.

But here’s the twist—what’s coming is way bigger than y'all are ready for.

Gary Rivlin’s been here before. He covered the dotcom frenzy in the ‘90s, and now he’s seeing history repeat itself. 

The PR fluff? Thick. The stakes? Higher.

He’s calling out the BS, breaking down what actually matters, and showing why the smartest people are using AI to amplify—not replace—human smarts.

Miss this, and you’ll miss the trillion-dollar wave.

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Topics Covered in This Episode:

  1. AI Hype: Overrated or Underrated Debate
  2. Gary Rivlin's AI Valley Insights
  3. Generative AI's Impact on Industries
  4. Startups: Silicon Valley AI Innovations
  5. AI Business Strategy: Lessons from .com Era
  6. AI Venture Capital Investments Surge
  7. Generative AI Tools for Cost Reduction
  8. Big Tech's Multibillion AI Investments


Timestamps:
00:00 AI Hype

02:00 Daily AI News

05:45 Intro to Gary Rivlin

07:02 Unexpected Email from Reid Hoffman

12:44 Startups' Long-Term Transformative Impact

14:07 AI's Transformational Impact on Society

19:35 Investing Big in Tech's Future

20:46 "Adapting to AI's Rapid Pace"

26:38 High-Stakes Venture Capital Decisions

28:58 "AI: Rising Intelligence Concerns"

31:40 Big Tech's Impact on AI Ownership

34:15 AI: Overhyped or Underhyped?


Keywords:
Generative AI, Overhyped AI, Underhyped AI, Mad dash to cash in, AI Valley, Gary Rivlin, Reid Hoffman, LinkedIn, ChatGPT, Silicon Valley, Everyday AI, Rise of the Internet, AI development, Transformative AI, Neural networks, ChatGPT launch, OpenAI, Adobe Firefly, Microsoft Copilot, Image generation, Text to video, Large-scale investment, Venture capital, Big tech, Trust and safety, AI adoption, Frontier AI labs, Personal agent, AI agents, AI in business, AI breakthroughs, AI future, Video generation, Cost savings, AI transformation, AI limitations.

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