『Signaling Theory』のカバーアート

Signaling Theory

Signaling Theory

著者: Rex Kirshner
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概要

Signaling Theory is a roundtable with Rex Kirshner and a rotating group of builders who spend way too much time testing AI tools. They compare notes on what works for coding, how they manage context and workflows, what’s getting better fast, and what still breaks. Grounded takes, no evangelism.© 2026 Rex Kirshner
エピソード
  • Live from ETH Denver w/ Gerrit Hall
    2026/02/26

    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.

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    1 時間 5 分
  • Sitting at a Slot Machine, a Claude Code story
    2026/02/19

    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.

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    13 分
  • Shellmates: Tinder for Bots /w Dan Pollmann and Gerrit Hall
    2026/02/12

    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.”

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    51 分
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