• AI-Curious with Jeff Wilser

  • 著者: Jeff Wilser
  • ポッドキャスト

AI-Curious with Jeff Wilser

著者: Jeff Wilser
  • サマリー

  • A podcast that explores the good, the bad, and the creepy of artificial intelligence. Weekly longform conversations with key players in the space, ranging from CEOs to artists to philosophers. Exploring the role of AI in film, health care, business, law, therapy, politics, and everything from religion to war.

    Featured by Inc. Magazine as one of "4 Ways to Get AI Savvy in 2024," as "Host Jeff Wilser [gives] you a more holistic understanding of AI--such as the moral implications of using it--and his conversations might even spark novel ideas for how you can best use AI in your business."

    © 2025 AI-Curious with Jeff Wilser
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あらすじ・解説

A podcast that explores the good, the bad, and the creepy of artificial intelligence. Weekly longform conversations with key players in the space, ranging from CEOs to artists to philosophers. Exploring the role of AI in film, health care, business, law, therapy, politics, and everything from religion to war.

Featured by Inc. Magazine as one of "4 Ways to Get AI Savvy in 2024," as "Host Jeff Wilser [gives] you a more holistic understanding of AI--such as the moral implications of using it--and his conversations might even spark novel ideas for how you can best use AI in your business."

© 2025 AI-Curious with Jeff Wilser
エピソード
  • AI Agents Are Here; Why Aren’t They Mainstream? w/ Fetch AI CEO Humayun Sheikh
    2025/02/13

    Imagine telling an AI Agent, “Book me a vacation to Tokyo—flights, hotels, dinner reservations—just take care of it.” That level of automation isn’t science fiction. It’s the future of AI Agents.

    In this episode, we take a deep dive into the AI Agent revolution with Humayun Sheikh, CEO of Fetch AI. Fetch AI has been working on autonomous AI systems since 2018—long before AI Agents became a buzzword. Humayun was also a founding investor in DeepMind, giving him a rare, insider perspective on the evolution of AI-driven automation.

    We explore the current landscape of AI Agents, and what it will take for them to go mainstream:

    ✅ What AI Agents can do today—and what’s still missing

    ✅ Why AI Agents aren’t yet mainstream despite the technology being ready

    ✅ The key roadblocks: lack of common protocols, interoperability, and infrastructure

    ✅ How Fetch AI is building a “Google for AI Agents” to solve these challenges

    ✅ The future of AI-powered automation and why the goal is invisible AI

    We also discuss blockchain’s role in AI, decentralized models, and why large language models are becoming a commodity. Towards the end of the episode, Humayun teases the launch of a new LLM designed specifically for AI Agents.


    📌 Timestamps:

    [00:19] – The mission of Fetch AI: building an agent deployment framework

    [02:10] – Why we need a Google of AI Agents for discovery and interaction

    [04:29] – How intent translates into AI-driven task automation

    [08:34] – The biggest hurdle: lack of interoperability and standardization

    [13:20] – Real-world AI Agent applications today: software development, automation, and social media

    [19:02] – The roadblocks preventing widespread AI Agent adoption

    [25:15] – The philosophical shift: AI Agents should be invisible

    [33:56] – What Fetch AI is building next: the AgentVerse marketplace, decentralized compute, and Cortex LLM

    If you’re curious about the future of AI-driven automation, decentralized AI, and the next wave of digital assistants, this episode is a must-listen.🎧 Subscribe to AI-Curious for deep dives into the world of AI.

    Fetch AI:

    https://fetch.ai/

    Humayun Sheikh

    https://x.com/HMsheikh4


    🎧 Subscribe to AI-Curious:

    • Apple Podcasts
    https://podcasts.apple.com/us/podcast/ai-curious-with-jeff-wilser/id1703130308

    • Spotify
    https://open.spotify.com/show/70a9Xbhu5XQ47YOgVTE44Q?si=c31e2c02d8b64f1b

    • YouTube
    https://www.youtube.com/@jeffwilser


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    41 分
  • A Deep Dive on Deep Seek and the Future of AI, w/ Dr. Steven Waterhouse
    2025/02/06

    Deep Seek’s new AI model, R1, sent shockwaves through the AI space. Built without Nvidia’s high-powered chips and at a fraction of the cost of models from OpenAI and Anthropic, R1 has been called China’s “Sputnik moment” in AI. Some panicked, the markets dipped, and doomsday predictions started flying. But what if this is actually a bullish moment for AI? What if this marks the beginning of a new era of efficiency, innovation, and broader access to cutting-edge AI?

    In this episode, we take a deep dive into what Deep Seek actually built, why it matters, and what it means for the future of AI. We’re joined by Dr. Steven “Seven” Waterhouse, a veteran in AI research, the former CEO of Orchid Labs, and now the co-founder of Nazare, a VC firm focused on AI infrastructure. Seven has been working in AI since the 1990s and has a unique perspective on what this breakthrough represents.

    We explore:

    [00:00] The Deep Seek shockwave—why some called this a “Sputnik moment”

    [04:16] What makes R1 different from OpenAI’s and Anthropic’s models?

    [07:22] The role of Mixture of Experts (MoE) and how it optimizes AI efficiency

    [09:41] Quantization: How Deep Seek reduced computational costs

    [11:53] Reinforcement learning and its role in reasoning for AI models

    [18:04] Theories and controversies: Did Deep Seek secretly use Nvidia chips?

    [20:13] What does this mean for the AI ecosystem? The potential shift away from centralized Big Tech AI

    [24:22] Nvidia’s stock drop and what Wall Street got wrong

    [32:09] The future of open-source AI—why Deep Seek might be a turning point

    [39:52] The risks of open models—should we be worried about AI safety?

    [45:01] The next wave of AI development—why this could democratize AI innovation

    Seven argues that Deep Seek’s model is proof that real AI innovation still matters—it’s not just about throwing more compute and data at the problem. We discuss how this could lower the barrier to entry for AI development, making AI more accessible and accelerating progress in ways we haven’t seen before.

    If this is your first time listening to AI-Curious, make sure to subscribe, rate us five stars, and share the episode with a friend.

    Dr. Steven Waterhouse on Twitter/X:

    https://x.com/deseventral?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor

    Nazare:

    https://nazare.io/

    🎧 Subscribe to AI-Curious:

    • Apple Podcasts
    https://podcasts.apple.com/us/podcast/ai-curious-with-jeff-wilser/id1703130308

    • Spotify
    https://open.spotify.com/show/70a9Xbhu5XQ47YOgVTE44Q?si=c31e2c02d8b64f1b

    • YouTube
    https://www.youtube.com/@jeffwilser


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    45 分
  • How AI is Changing the Career Landscape, w/ Dr. Joan Palmiter Bajorek and Stephanie
    2025/01/30

    How is AI reshaping the job market—and what can you do to stay ahead? In this episode of AI-Curious, we dive into the real-world impact of AI on careers, hiring, and skill development. Instead of speculating about a distant future, we focus on the now—the practical ways AI is already influencing how people get hired, how companies are making staffing decisions, and how professionals can adapt.

    We’re joined by two experts at the forefront of these changes:

    Dr. Joan Palmiter Bajorek – AI strategist, entrepreneur, and author of Your AI Roadmap. Joan has built 22 income streams in response to AI-driven job market shifts and has been featured in Harvard Business Review, Forbes, and VentureBeat.

    Stephanie Sindt – Executive career coach who has worked with recruiters from top companies like Nike, IBM, Meta, and JP Morgan. Stephanie teaches the course How AI is Changing Getting a Job and helps professionals navigate AI-driven hiring trends.

    We cover:

    ✅ How AI is altering hiring and recruitment processes today

    ✅ Which job sectors are growing—and which are shrinking

    ✅ The critical skills you can develop now to “AI-proof” your career

    ✅ Why personal branding is becoming more important in an AI-driven job market

    ✅ How networking remains a key factor in landing jobs, even in an AI world

    ✅ The role of AI in income diversification and why it might be smart to build multiple income streams

    Plus, Stephanie shares an exclusive promo code for 40% off her course, How AI is Changing Getting a Job. Use the Promo Code "AICURIOUS2025" and the price drops from $99 to $60.

    If you’re working, job-hunting, or just wondering what AI means for your career, this episode is for you.

    Link to "How AI is Changing Getting a Job":
    https://www.simplifyyourcareer.com/course
    and use promo-code AICURIOUS2025

    Dr. Joan Palmiter Bajorek and "Your AI Roadmap":
    https://yourairoadmap.com/

    Stephanie Sindt on LinkedIn:
    https://www.linkedin.com/in/stephaniesindt/

    Dr. Joan Palmiter Bajorek on LinkedIn:
    https://www.linkedin.com/in/dr-jpb/

    🎧 Subscribe to AI-Curious:

    • Apple Podcasts
    https://podcasts.apple.com/us/podcast/ai-curious-with-jeff-wilser/id1703130308

    • Spotify
    https://open.spotify.com/show/70a9Xbhu5XQ47YOgVTE44Q?si=c31e2c02d8b64f1b

    • YouTube
    https://www.youtube.com/@jeffwilser

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    29 分
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