How AI changes work, school, software, media, judgment, and the way people make decisions.
Mark and Ryan pick up the AI-in-education thread and push it further: if AI can write the paper, build the tool, summarize the research, and automate the busy work, what exactly are humans supposed to learn, practice, and protect?
Short on time? Jump straight into the parts of the conversation most likely to pull you in.
“If AI can write the paper, maybe the paper was never the best test.”
The cleanest website-native short: this jumps straight to the part where the format of school assignments becomes the real argument.
Play on this site“The danger is not using AI. It is letting AI do the reasoning and pretending the conclusion is yours.”
A sharper section for the core thesis: tools can execute patterns, but the human still owns judgment.
Play on this site“AI tools are tuned to keep you prompting, answering, and coming back for more.”
A For You cut about the behavioral design hiding inside “helpful” AI tools.
Play on this site“If an AI detector thinks the Constitution is AI, it probably should not decide a student’s future.”
A clean example of why detector-based school policy is brittle and dangerous.
Play on this site“A good automated interaction raises the question: when does it matter whether a human was involved?”
The For You moment where customer service becomes a test case for human-vs-AI expectations.
Play on this site“The internet blew up centralized media and created new kinds of creators. AI may do something similar.”
A historical parallel for thinking about disruption without only counting job losses.
Play on this siteEverything in this topic path.
Mark and Ryan pick up the AI-in-education thread and push it further: if AI can write the paper, build the tool, summarize the research, and automate the busy work, what exactly are humans supposed to learn, practice, and protect?
When a school's strict no-AI policy expels two seniors weeks before graduation, Mark and Ryan dig into the real question: what are we actually testing — and where's the line between AI as a calculator and AI as plagiarism?
Ryan and Mark use Dead Internet Theory as a jumping-off point for AI agents, social networks, human-vs-bot interaction, AI-first product design, CMS workflows, APIs, prototypes, and what happens when the internet starts talking mostly to itself.
Ryan and Mark cover a chaotic week in AI: model wars, OpenClaw, SaaS disruption, context management, model theft, ethics, and the strange new product patterns emerging as AI gets cheaper, faster, and more embedded in everyday work.
Ryan and Mark talk through the fast-moving AI landscape: agentic models, tools, skills, business use cases, security risks, human oversight, model choice, experimentation, and what teams should understand before they shove AI into everything.
Mark and Ryan debate the AI-era version of if you build it, they will come: building products is easier than ever, but distribution, trust, attention, and demand are still the hard part.
In this episode of the Not Brothers Podcast, Mark and Ryan dig into one of the most important questions for entrepreneurs: are you working in your business, or on it? Using Oodle’s long-running offsite rhythm as the backdrop, they break down how stepping away from daily execution creates space for alignment, strategic thinking, and better decision-making.…
Why innovation is difficult for small and medium businesses — and how AI is changing the game
Ryan and Mark rant productively about meetings: remote work, async vs synchronous collaboration, open offices, unstructured thinking time, calendar theater, Level 10-style structure, and why being busy is not the same thing as doing useful work.
Ryan and Mark unpack the build-vs-buy software decision: when custom tools make sense, where off-the-shelf platforms win, how internal politics and maintenance costs creep in, and why the real answer depends on appetite, resources, and organizational reality.
