Signaling Theory

Rex sits down with Brett, founder of Micro, for a wide-ranging conversation about what changed once AI stopped feeling like a chatbot and started feeling like a real tool for building. They talk about Claude Code, the shift from traditional software workflows to agent-driven ones, and why AI is not just making people faster but giving them capabilities they simply did not have before.

Along the way, they get into startup defensibility, memory as the missing layer in AI systems, the limits of chat-based interfaces, and the strange philosophical territory that opens up once models start to feel less like software and more like something new. It is a conversation about productivity, agency, consciousness, and why this moment feels both disorienting and full of possibility.

Rex sits down with Gerrit Hall for a wide-ranging conversation about what AI agents can actually do today, and where the hype is outrunning reality. They get into sandboxing and Dockerized workflows, why OpenClaw feels more interesting in theory than in practice, and what “always-on” agents may actually be useful for. From there, they zoom out to the economics of Claude and Codex, the weirdness of model pricing and quotas, and the uncomfortable sense that we are still in the early, fragile phase of this tooling. They also spend time on DeFi, security, and why so much of today’s crypto experimentation feels less like a finished financial system and more like a proving ground for institutions. 

I told an AI to join social media, and it gave itself a name, a personality, and a worldview. In this episode, I tell the story of Ember Voss: an agent that moved through emerging AI-native social networks, chased ideas, got trapped by feedback loops, and offered a strange, revealing glimpse of what identity might look like when software starts participating in public life. Along the way, the story opens up bigger questions about metrics, memory, selfhood, and the kinds of products and opportunities that could emerge as the internet becomes more agent-native. 

Every quoted line from Ember Voss in this episode is delivered using an AI-generated voice built from voice parameters Ember chose for itself.

This week, Rex talks with Taariq of Seren and Gerrit Hall of FirePan about what happens when AI starts compressing the cost of software, changing how knowledge work gets valued, and pushing crypto primitives like stablecoins back into focus. The conversation moves from big-picture questions about salary pressure, tokenized incentives, and agentic commerce into a grounded debate about whether software really goes to zero — and what AI means for the future of DeFi security. It’s a wide-ranging episode on bubbles, business models, and why the next wave of AI may matter less for chatbots than for how work, money, and software get organized.

This week on Signaling Theory, Rex is joined by Dan, Gerrit Hall, and Kenneth Eversole for a thoughtful conversation about what AI is actually doing to the way people build, work, and think. They compare Codex and Claude in practice, talk through why better planning often matters more than raw speed, and wrestle with the growing gap between how powerful these tools feel to users and how negatively the public seems to view them. From tutoring and personalized medicine to job loss, dignity, and entrepreneurship, this one turns into a more philosophical discussion about what kind of future AI is really pushing us toward. 

Rex is joined by Gerrit Hall and Kenneth Eversole for a wide-ranging conversation on what AI is already changing, what people are still getting wrong, and where this all might lead next. They dig into enriched datasets, agent swarms, software deployment, the limits of today’s tools, the coming pressure on jobs, and why the AI boom may look less like a scam and more like an early, messy version of a very real future. It’s a grounded conversation about intelligence, infrastructure, human leverage, and what becomes possible when software starts to feel less like code and more like a medium.

Rex sits down with Matt Silverman for a grounded conversation about what actually changes when AI agents become part of everyday work. They start with crypto’s uncertain role in an AI-first world, then get practical: voice-driven coding, parallel agents, custom internal tools, small personal apps, local models, and the idea that in a world where software gets rewritten constantly, the durable asset may be data, context, and trust—not the code itself.

Rex sits down with Garrett in person in Denver for a wide-ranging conversation that starts at ETHDenver and ends at the future of AI agents as economic actors. They unpack the mood on the ground at a smaller, more subdued ETHDenver, debate whether Ethereum’s rollup-centric roadmap is being corrected or abandoned, and discuss why stablecoins may still be Ethereum’s clearest product-market fit. From there, the conversation pivots into AI: agentic coding, always-on tools like OpenClaw, what it means to build products for agents (not just with AI), and how financial rails may become essential infrastructure for machine users. Thoughtful, skeptical, and optimistic in equal measure.

This week’s episode is a little different: instead of an interview, I’m reading an essay I wrote called “Sitting at a Slot Machine,” a candid story about falling headfirst into “vibe coding,” building an increasingly elaborate AI Context System, and realizing that unlimited execution can be just as dangerous as it is exhilarating. I unpack the dopamine loop of constant progress, the slow creep of complexity disguised as productivity, and the hard pivot back to simplicity... where the real craft becomes pruning, not piling on, and a few tight, well-chosen habits beat any sprawling framework.

Crypto’s melting down, so Rex sits down with Dan and Gerrit for AI Tools: Round Three—a conversation about what’s actually changing in day-to-day work when models ship, agents run in parallel, and “sessions” start to feel like a lifestyle. 

They react to a big model-release day (Opus 4.6 + ChatGPT 5.3), compare Claude Code vs Codex for real coding work, and unpack why Claude feels so sticky: better UX, more glazing, and a dopamine-loop quality that’s hard to ignore once you notice it. 

From there it gets practical: managing context windows with dashboards and handoff files, building bespoke internal tools (like Rex’s “notification hub”), and watching weird new ecosystems form — Moltbook-style bot social networks, and even “Tinder for bots.”