“My hope is when you see photos of yourself you don’t see what you hate, you see the things that you love and the way God created you”
Chasing a dream takes courage and sometimes it doesn’t work out.
Full episode with Mikey Reisenberg out now
In this episode, I sit down with Joe Holmes to talk about what people get wrong about AI, how agents are changing work, and why the future is going to be more personal, powerful, and much stranger than most people realize.
Chapters:
00:00 – What most people get wrong about AI
01:41 – Why AI feels scary right now
02:18 – Who should be trusted to control AI?
05:48 – Sam Altman, OpenAI, and the New Yorker article
07:33 – OpenAI, Anthropic, Palantir, and the Department of Defense
12:44 – The problem with “lawful use” and surveillance
15:00 – Anthropic’s Mythos model and cybersecurity
18:32 – Will powerful AI only belong to corporations?
19:33 – Should you wipe your data from the internet?
21:27 – Sycophancy: why AI tells you you’re right
24:03 – Cognitive security and protecting your mind online
26:08 – Reverse alignment: how AI changes the user
27:14 – Do private companies deserve to own AI?
28:46 – AI regulation and lessons from the Gilded Age
29:47 – How to use AI instead of just fearing it
31:02 – What AI agents actually are
32:12 – Reasoning models and tool use explained
33:39 – The AI agent productivity frenzy
35:42 – OpenClaw, Claude Code, and Dispatch
37:48 – Are these the AI agents everyone is talking about?
39:06 – Making AI useful for non-technical people
40:13 – Why Claude Co-work is a big deal
42:03 – How business owners can start using AI today
43:24 – Flipped interaction: the best AI technique for anyone
46:54 – Do AI models perform better when threatened?
47:05 – The Claude Code leak
48:23 – Using AI for marketing and business strategy
51:12 – Auditing your job tasks for AI automation
52:51 – The hardest part of creating an AI course
54:07 – How to spot AI grifters and fake experts
56:51 – What Joe hopes people take from his course
57:54 – Why AI is an accelerant to creativity
59:13 – Personalizing AI education and learning by building
1:01:04 – Why people enjoy AI-generated content
1:01:27 – Using AI to refine ideas and creative projects
1:03:01 – Five new ways to think about AI
1:03:56 – Simulator theory explained
1:09:19 – Why AI is more alien than most people realize
1:10:32 – Words create worlds
1:11:41 – Adversarial poetry and AI jailbreaks
1:12:48 – Latent space explained
1:17:48 – Continual learning and the future of smarter AI
1:19:21 – Why today’s AI has “amnesia”
1:20:31 – Context windows and your life as a prompt
1:23:13 – Why your “human tokens” matter most
1:25:36 – Personalized art and media of the future
1:29:17 – The loss of shared cultural experiences
1:30:17 – Why we may need an AI New Deal
1:33:18 – AI, job loss, dignity, and meaningful work
1:35:32 – How AI could reshape democracy and society
1:37:04 – Where to find Joe