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

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

2025/4/24
logo of podcast Everyday AI Podcast – An AI and ChatGPT Podcast

Everyday AI Podcast – An AI and ChatGPT Podcast

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Gary Rivlin
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Jordan Wilson
一位经验丰富的数字策略专家和《Everyday AI》播客的主持人,专注于帮助普通人通过 AI 提升职业生涯。
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Jordan Wilson: 我认为 AI 现在正处于被过度炒作和被低估的阶段。虽然我们可能多年后才能知道 AI 是否被过度炒作,但目前每个人都在争先恐后地利用 AI 获利,这是不争的事实。 我关注 AI 的日常新闻,例如 Adobe 将 OpenAI 和 Google 的图像生成 AI 模型添加到 Firefly 应用中,微软发布了 Copilot Wave 2 春季版本,集成了 GPT-4.0 图像生成器,以及 OpenAI 正式向 API 发布其图像生成模型等。这些都表明 AI 技术发展迅速,但同时也存在过度炒作的风险。 我邀请 Gary Rivlin 来讨论这个问题,因为他是一位经验丰富的科技记者,对 AI 领域有深入的了解。 Gary Rivlin: 我从 90 年代报道互联网热潮开始,一直关注科技行业,最近关注 AI 领域,特别是生成式 AI 的发展和影响。我收到的 Reid Hoffman 的邮件促使我重新关注 AI 领域。 AI 的发展历程充满了乐观和错误的转向,直到最近才取得突破性进展。我们往往高估技术的短期影响,低估技术的长期影响。当前的 AI 技术有限,但未来 10 到 15 年内,AI 将彻底改变各个领域。 AI 公司为了满足投资者,可能会过度承诺,这可能会导致负面影响。AI 的炒作可能会导致类似于互联网泡沫破裂的负面后果,但不会像互联网泡沫那样严重。目前 AI 更多的是作为辅助工具,而不是完全取代人类。人们应该学习如何利用 AI 的优势,并了解其局限性。 大型科技公司对 AI 的巨额投资是出于对未来长期回报的预期,而不是短期利益。公司应该关注 AI 如何帮助他们提高效率和降低成本,而不是盲目跟风。风投公司害怕错过 AI 领域的投资机会,导致他们对一些半成品项目进行投资。 由于 AI 的高昂成本,大型科技公司可能会主导 AI 领域,这可能会带来信任问题。AI 的负面事件可能会导致公众对 AI 的反感,从而产生负面影响。虽然个别公司可能夸大了 AI 产品的能力,但 AI 本身是被低估的,它将彻底改变世界。

Deep Dive

Chapters
The episode begins by posing the central question: Is AI currently overhyped or underhyped? It acknowledges the uncertainty surrounding the answer but highlights the widespread rush to capitalize on AI's potential. The host introduces Gary Rivlin, an expert on the topic, and provides details on how listeners can engage with the podcast and its resources.
  • The central question of the episode is whether AI is overhyped or underhyped.
  • There is a mad dash to cash in on AI, regardless of individual perspectives.
  • The host introduces Gary Rivlin, an expert who has written about this topic.

Shownotes Transcript

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.

Newsletter: Sign up for our free daily newsletter)**More on this Episode: **Episode Page)**Join the discussion: **Thoughts on this? Join the convo.)Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup)Website: YourEverydayAI.com)Email The Show: [email protected])**Connect with Jordan on **LinkedIn)Topics Covered in This Episode:

  • AI Hype: Overrated or Underrated Debate
  • Gary Rivlin's AI Valley Insights
  • Generative AI's Impact on Industries
  • Startups: Silicon Valley AI Innovations
  • AI Business Strategy: Lessons from .com Era
  • AI Venture Capital Investments Surge
  • Generative AI Tools for Cost Reduction
  • 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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