cover of episode Ep: 500 Top Takeaways of Everyday AI So Far Through 500 Episodes

Ep: 500 Top Takeaways of Everyday AI So Far Through 500 Episodes

2025/4/9
logo of podcast Everyday AI Podcast – An AI and ChatGPT Podcast

Everyday AI Podcast – An AI and ChatGPT Podcast

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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: 我在两年多前开始制作《Everyday AI》播客,当时生成式AI还处于早期阶段,ChatGPT刚刚问世。如今,生成式AI已经彻底改变了工作方式,对就业产生了深远的影响。每家企业公司都有生成式AI计划,它正在改变传统服务行业,并重新定义人类技能和价值。我个人经历了从使用早期GPT技术到见证ChatGPT爆发的过程,这让我深刻认识到生成式AI的变革潜力。我关闭了自己的公司,全身心投入到《Everyday AI》播客的制作中,每天学习和实践生成式AI,希望帮助人们更好地理解和利用这项技术。 我观察到,即使是非技术人员也开始使用生成式AI工具,并从中受益。大型科技公司纷纷转向AI,这导致了美国历史上首次出现市值最高的六家公司都来自同一行业(AI)的现象。这不仅影响了就业,也改变了商业模式。我认为,AI将会夺走许多工作,对传统的全职美国就业产生负面影响。知识工作将发生根本性变化,因为大型语言模型比人类更聪明。传统的全职工作将发生巨大变化,人们可能会拥有多份工作或副业,创业将重新兴起。 企业在实施AI时,需要解决“为什么”以及“如果AI成功会发生什么”的问题。如果企业通过AI实现50%的效率提升,可能会选择裁员而不是改善员工福利。自主代理的出现将导致传统服务行业的巨大冲击,咨询、金融、法律等高价、低效的服务行业将受到冲击。许多公司将裁员,而一些聪明的人将利用AI创办自己的公司,提供更便宜、更快捷的服务。我们需要将“人环”的概念转变为“专家环”,将合适的专业知识融入到AI系统中。 我们需要重新定义人类技能和价值,因为许多以前的工作现在可以由AI完成。我的技能不再像以前那样重要,我正在成为一个利基领域的意见领袖。我们需要培养AI素养,并学习如何将AI融入到我们的工作中。AI竞赛正在变得越来越激烈,企业需要不断评估不同模型的质量,并开发自己的领域特定评估方法。我对《Everyday AI》播客的制作初衷是自私的,但最终是为了帮助听众。我对《Everyday AI》播客的未来感到不确定,但感谢所有听众的支持。

Deep Dive

Shownotes Transcript

The world is completely different than it was before ChatGPT. 🌎GenAI has shook the world, and we've been here. Every step of the way. As we celebrate Everyday AI's 500th episode, we're taking a look back at how far the GenAI landscape has changed and talk about what's next. We'll also take a bunch of question from our livestream audience and reflect a bit on our favorite moments. Celebrating Everyday AI's 500th Episode: What we've learned about GenAI so far and where we're headed

Newsletter: Sign up for our free daily newsletter)**More on this Episode: Episode PageJoin the discussion: **Thoughts on this? Join the conversation.)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:

  • Evolution of Generative AI Since Inception of Everyday AI
  • Discussion on the Future of Work and AI's Impact on Employment
  • Jordan Wilson's Background and Decision to Focus on Everyday AI
  • Initial Skepticism and Early Use of GPT Technology
  • The Shift From GPT Technology to ChatGPT
  • The Integrations and Plans of Generative AI in Enterprises
  • The Potential for AI to Reshape Traditional Employment Models
  • AI's Influence on Service Industries and Consulting
  • Role of Nontechnical People in AI Adoption
  • Redefining Human Skill and Value with AI
  • The Concept of Human in the Loop vs. Expertise in the Loop
  • The Competitive Landscape of the AI Race

**Timestamps:**00:00 "Everyday AI: Leverage Generative AI"

09:09 Daily Commitment to Learning AI

14:03 AI Dominates Enterprise Tech

16:31 AI Adoption by Nontechnical Users

26:45 Entrepreneurship Revival Amid AI Layoffs

27:45 Generative AI's Organizational Impact

35:36 Consultancies Facing Change and Layoffs

41:02 "Redefining Human Skill with AI"

48:25 "Human Skills in AI Era"

52:35 Agent Orchestration and Expertise Integration

59:15 Evaluating AI Model Quality

01:04:00 Encouraging Gen AI Acceptance

01:08:26 "Ignoring Advice: The Birth of Everyday AI"

01:14:58 Supportive Feedback's Impact

01:15:56 Thank You for 500 Episodes

**Keywords:**Generative AI, Future of Work, AI impact on employment, AI in service industries, Redefining human skill, Human value, AI transformation, AI ethics, Nonprofit leadership, Accelerant Agency, GBT technology, ChatGPT, Large language models, Enterprise AI, AI capabilities, OpenAI, Microsoft Copilot, AI tools, Third party software, AI automation, AI research, Deep research, Multimodal generative AI, Artificial super intelligence, Agency, AI workflows, Autonomous agents, Agent orchestration, Business models, Consulting disruption, Legal industry, Financial services, AI-powered research, AI-driven s

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