『Artificial Intelligence Podcast: ChatGPT, Claude, Midjourney and all other AI Tools』のカバーアート

Artificial Intelligence Podcast: ChatGPT, Claude, Midjourney and all other AI Tools

Artificial Intelligence Podcast: ChatGPT, Claude, Midjourney and all other AI Tools

著者： Jonathan Green : Artificial Intelligence Expert and Author of ChatGPT Profits
無料で聴く

Navigating the narrow waters of AI can be challenging for new users. Interviews with AI company founder, artificial intelligence authors, and machine learning experts. Focusing on the practical use of artificial intelligence in your personal and business life. We dive deep into which AI tools can make your life easier and which AI software isn't worth the free trial. The premier Artificial Intelligence podcast hosted by the bestselling author of ChatGPT Profits, Jonathan Green.

© 2026 Artificial Intelligence Podcast: ChatGPT, Claude, Midjourney and all other AI Tools マネジメント・リーダーシップ リーダーシップ 政治・政府 経済学
エピソード
  • Why AI Investing Is Making Markets Dumber, Not Smarter with Gary Brode

    Why AI Investing Is Making Markets Dumber, Not Smarter with Gary Brode
    2026/10/19
    Everyone now has the same AI. That should make markets smarter — Gary Brode says it does the opposite. Jonathan Green talks with Gary Brode (Managing Partner at Deep Knowledge Investing) about why AI is a terrible stock picker: it summarizes the herd, it cannot say "I don't know," it cannot disagree with the dominant narrative, and the places you actually make money are the moments when everybody else is wrong. Key Takeaways: • Access to information is not an edge — AI lets everyone read every 10-K in seconds, so that advantage is already priced in. The scarce skill is a different interpretation of the same facts. • AI cannot say "I don't know." It answers with total confidence, including when it is guessing. Gary hires interns for the opposite: the candidate who hits the edge of their knowledge and says they will come back with an answer. • AI is not objective. It is weighted toward mainstream media, Reddit, Substack, and a fairly monolithic view of politics and economics. Knowing those biases is the advantage. • The hyperscaler treadmill is the risk story: trillions in capex, token prices down 75–90%, models obsolete in months, and no clean way to stop spending without writing the last few years to zero. • Where you make real money is when the dominant narrative is incorrect. AI is built to repeat that narrative, not to challenge it. Notable Quotes: "Having better information is typically not a good way to make money in the stock market. I rarely have an information advantage, but I analyze it differently." — Gary Brode "I don't know is a really good answer. AI doesn't do that. AI will give you the wrong answer or a made-up answer confidently." — Gary Brode Connect with Gary Brode: LinkedIn: https://www.linkedin.com/in/gary-brode-deep-knowledge-investing Company: Deep Knowledge Investing — https://deepknowledgeinvesting.com X: https://x.com/Gary_Brode Subscriber coupon: Jonathan40 (40% off the first year) Enjoyed this? Follow The Artificial Intelligence Podcast and share it with someone who thinks ChatGPT is about to replace their fund manager.

    Connect with Jonathan Green

    • The Bestseller: ChatGPT Profits
    • Free Gift: The Master Prompt for ChatGPT
    • Free Book on Amazon: Fire Your Boss
    • Podcast Website: https://artificialintelligencepod.com/
    • Subscribe, Rate, and Review: https://artificialintelligencepod.com/itunes
    • Video Episodes: https://www.youtube.com/@ArtificialIntelligencePodcast
    続きを読む 一部表示
    30 分
  • Can the Power Grid Keep Up With AI? with Stephanie Cox

    Can the Power Grid Keep Up With AI? with Stephanie Cox
    2026/10/12
    The cloud isn't actually in the sky — it runs on electricity, and AI is straining the grid like nothing before it. Jonathan Green talks with Stephanie Cox (CEO of GridEQ) about the energy reality behind the AI boom: why hyperscale data centers are a brand-new kind of load, why the real bottleneck is planning and permitting rather than power, how energy storage bridges fast-moving AI and slow infrastructure, why communities are pushing back, and where a smarter, more distributed grid goes from here. Key Takeaways: • AI data centers are a new kind of load — continuous, massive draw the grid was never designed for (it was built for peak and weather events, not 24/7 hyperscale demand). • The real bottleneck isn't power, it's planning — transmission lines, interconnection queues, permitting, water, land, and community support. Securing power now takes far more than a purchase agreement. • Energy storage is the bridge — it fills the gap while slow infrastructure (substations take years) catches up to fast-moving AI and software. • Communities are pushing back — a stat she cites: ~90% of Americans don't want hyperscalers nearby (higher costs, water and power strain, few local jobs). The tension is power to the data center vs. power to the community. • Bet on efficiency and a diversified grid — smart investors already model the decline (chips obsolete in 12–18 months, software getting leaner). The future is distributed centers, mixed generation + storage, and secondary markets for stranded equipment (GridEQ's new line). Notable Quotes: "90% of folks in the US don't necessarily want the data centers coming into play." — Stephanie Cox "My hope is for a more diversified and resilient ecosystem — relying on more than just one technology." — Stephanie Cox Connect with Stephanie Cox: LinkedIn: https://www.linkedin.com/in/stephcox-co Company: GridEQ Enjoyed this? Follow The Artificial Intelligence Podcast and share it with someone thinking about AI, energy, or infrastructure.

    Connect with Jonathan Green

    • The Bestseller: ChatGPT Profits
    • Free Gift: The Master Prompt for ChatGPT
    • Free Book on Amazon: Fire Your Boss
    • Podcast Website: https://artificialintelligencepod.com/
    • Subscribe, Rate, and Review: https://artificialintelligencepod.com/itunes
    • Video Episodes: https://www.youtube.com/@ArtificialIntelligencePodcast
    続きを読む 一部表示
    21 分
  • What Should You Never Hand Over to AI? with Joshua Wilson

    What Should You Never Hand Over to AI? with Joshua Wilson
    2026/10/09
    Joshua Wilson has done roughly 2,500 interviews and runs Oneiron Network, a podcast network built for dealmakers, capital markets and investment banking. He remembers when an hour of recording meant ten hours of work — and when that work quietly killed the only part that mattered, which was building relationships with people. So he handed the tedious half to AI early, and then drew a hard line around the rest. Jonathan Green talks with him about why he now deliberately wants the chickens in the background, how a library of transcripts becomes a deal-signal machine that quietly brokers relationships between guests who have never met, how to break a media-trained guest out of their script, and the part of this no machine gets to touch. Key Takeaways: • Over-production now costs you trust. Joshua actively wants the ums, the kids in the background, the moment a guest says "that was probably dumb." When a show looks like a movie, the audience starts wondering whether any of it is real — so he tells his own network to edit less, not more. • Your transcript archive is the asset, not the SEO. Where else do you get an hour of a billionaire's undivided attention on the record? Do a hundred of those a year, make them searchable, and then mine them for deal signals — who wants to buy, who wants to sell, who is raising — and broker introductions between two guests who have never met. • Split the calibration by format rather than by taste. Audio can run long and unedited; the video cut gets trimmed for platform rules that can cost you monetization. That way the raw human moments survive where they are allowed to, instead of being sanded off everywhere. • Break the frame on a media-trained guest. When someone keeps slipping their company name into every answer, a curveball question scratches the record they are playing — and once they suspect another one is coming, they stop reciting and start talking. • Everything technical gets outsourced eventually; the human condition does not. AI will not tell you it knew an idea was wrong and did it anyway out of love for something. So use AI for all the work before and after the conversation — and never for choosing the guest, planning the questions, or the interview itself. Notable Quotes: "It lowers the trust factor when your show looks like a movie and people are like — are you even real?" — Joshua Wilson "The challenging question we must ask ourselves is: who do I serve?" — Joshua Wilson Connect with Joshua Wilson: LinkedIn: https://www.linkedin.com/in/joshuabrucewilson Network: Oneiron Network — https://oneironnetwork.com Enjoyed this? Follow The Artificial Intelligence Podcast and send it to whoever keeps polishing their show into something nobody trusts.

    Connect with Jonathan Green

    • The Bestseller: ChatGPT Profits
    • Free Gift: The Master Prompt for ChatGPT
    • Free Book on Amazon: Fire Your Boss
    • Podcast Website: https://artificialintelligencepod.com/
    • Subscribe, Rate, and Review: https://artificialintelligencepod.com/itunes
    • Video Episodes: https://www.youtube.com/@ArtificialIntelligencePodcast
    続きを読む 一部表示
    46 分
adbl_web_anon_alc_button_suppression_t1
まだレビューはありません