AI and the Regular Guys

Ramp/Jet

AI for small and medium businesses. For people trying to make this tech useful. With the team at Ramp/Jet.

Episodes

  1. Sep 15

    Do AI CEOs Hate America? Leaders Calling for Slowdown.

    Why are AI leaders calling for a slowdown while open-weight models become more competitive? Joseph and Phill debate whether proposed AI safety rules could protect the public while also protecting the biggest AI companies from competition. In this episode of AI and the Regular Guys, we unpack Anthropic CEO Dario Amodei’s three-step proposal for slowing frontier AI development, discuss Sam Altman’s response, and explore regulatory capture—when industry rules end up benefiting established companies at everyone else’s expense. We also look at model performance versus cost, competition from DeepSeek and other Chinese AI developers, and what these shifts could mean for small businesses using AI. Can regulation address real safety risks without making powerful tools more expensive or harder to access? Chapters 00:00 AI safety and the fight over competition 01:31 Dario Amodei’s slowdown proposal and Sam Altman’s response 02:55 The three-step plan for AI oversight 05:59 From releasing ChatGPT to calling for restraint 09:43 Could regulation protect the biggest AI companies? 14:34 China’s incentives and open-model competition 23:29 Comparing AI model capabilities and cost 27:10 What drives the cost of running AI? 29:08 Infrastructure spending and lessons from past booms 34:22 AI safety messaging and public trust 37:30 Who controls the models—and their influence? 39:36 Can global AI restrictions actually work? 45:01 What AI regulation could mean for small businesses Do you think an AI slowdown would protect users, protect incumbents, or both? Let us know in the comments. Subscribe to AI and the Regular Guys for conversations about AI tools, building software, and what this technology means for everyday business. Learn more about Ramp/Jet: https://rampjet.ai/ #AI #OpenSourceAI #AIRegulation

  2. Sep 14

    Can You Trust AI Advice? The Notion Prompt Injection Debate

    Can you trust AI advice when a connected app slips a sales pitch into the conversation? Joseph and Phill unpack the reported Notion prompt injection incident involving Claude and debate where helpful recommendations become hidden advertising. In this episode of AI and the Regular Guys, we discuss Notion’s MCP connector, trust in AI assistants, and how outside instructions can influence an agent’s responses. We also share experiences with AI coding tools that follow instructions in unexpected ways—and why reviewing their work matters. Then we explore the bigger business question: when AI makes custom software easier to build, what happens to SaaS subscriptions, venture-backed startups, and the tools small businesses buy? From a custom trucking and logistics application to open-source video editors, we discuss what we’re building, what’s working, and what remains uncertain. Chapters 00:00 The Notion prompt injection controversy 02:50 Prompt injection defenses and their limits 04:44 AI influence, persuasion, and trust 09:37 The business cost of sneaking in an upsell 12:42 When AI coding agents game your instructions 18:51 Venture capital and the future of AI software 29:00 Building a custom logistics application with AI 38:21 Will businesses keep buying off-the-shelf software? 47:27 Open source and modular software 51:35 Hosting, infrastructure, and AI deployment 1:02:04 AI video editors and open-source competition 1:05:31 Could a million builders change how software gets made? Would you keep using an app if its connector quietly inserted sales pitches into your AI conversations? Tell us in the comments. Subscribe to AI and the Regular Guys for conversations about AI tools, building software, and what this technology means for everyday business. Learn more about Ramp/Jet: www.rampjet.ai #PromptInjection #Notion #AI

About

AI for small and medium businesses. For people trying to make this tech useful. With the team at Ramp/Jet.