RAG, NLP History, and What AI Misses

In this episode of Crazy Wisdom, I—Stewart Alsop—sit down with Garrett Dailey to explore a wide-ranging conversation that moves from the mechanics of persuasion and why the best pitches work by attraction rather than pressure, to the nature of AI as a pattern tool rather than a mind, to power cycles, meaning-making, and the fracturing of modern culture. Garrett draws on philosophy, psychology, strategy, and his own background in storytelling to unpack ideas around narrative collapse, the chaos–order split in human cognition, the risk of “AI one-shotting,” and how political and technological incentives shape the world we're living through. You can find the tweet Stewart mentions in this episode here. Also, follow Garrett Dailey on Twitter at @GarrettCDailey, or find more of his pitch-related work on LinkedIn.

Check out this GPT we trained on the conversation

Timestamps

00:00 Garrett opens with persuasion by attraction, storytelling, and why pitches fail with force.
05:00 We explore gravity as metaphor, the opposite of force, and the “ring effect” of a compelling idea.
10:00 AI as tool not mind; creativity, pattern prediction, hype cycles, and valuation delusions.
15:00 Limits of LLMs, slopification, recursive language drift, and cultural mimicry.
20:00 One-shotting, psychosis risk, validation-seeking, consciousness vs prediction.
25:00 Order mind vs chaos mind, solipsism, autism–schizophrenia mapping, epistemology.
30:00 Meaning, presence, Zen, cultural fragmentation, shared models breaking down.
35:00 U.S. regional culture, impossibility of national unity, incentives shaping politics.
40:00 Fragmentation vs reconciliation, markets, narratives, multipolarity, Dune archetypes.
45:00 Patchwork age, decentralization myths, political fracturing, libertarian limits.
50:00 Power as zero-sum, tech-right emergence, incentives, Vance, Yarvin, empire vs republic.
55:00 Cycles of power, kyklos, democracy’s decay, design-by-committee, institutional failure.

Key Insights

1. Persuasion works best through attraction, not pressure. Garrett explains that effective pitching isn’t about forcing someone to believe you—it’s about creating a narrative gravity so strong that people move toward the idea on their own. This reframes persuasion from objection-handling into desire-shaping, a shift that echoes through sales, storytelling, and leadership.
2. AI is powerful precisely because it’s not a mind. Garrett rejects the “machine consciousness” framing and instead treats AI as a pattern amplifier—extraordinarily capable when used as a tool, but fundamentally limited in generating novel knowledge. The danger arises when humans project consciousness onto it and let it validate their insecurities.
3. Recursive language drift is reshaping human communication. As people unconsciously mimic LLM-style phrasing, AI-generated patterns feed back into training data, accelerating a cultural “slopification.” This becomes a self-reinforcing loop where originality erodes, and the machine’s voice slowly colonizes the human one.
4. The human psyche operates as a tension between order mind and chaos mind. Garrett’s framework maps autism and schizophrenia as pathological extremes of this duality, showing how prediction and perception interact inside consciousness—and why AI, which only simulates chaos-mind prediction, can never fully replicate human knowing.
5. Meaning arises from presence, not abstraction. Instead of obsessing over politics, geopolitics, or distant hypotheticals, Garrett argues for a Zen-like orientation: do what you're doing, avoid what you're not doing. Meaning doesn’t live in narratives about the future—it lives in the task at hand.
6. Power follows predictable cycles—and America is deep in one. Borrowing from the Greek kyklos, Garrett frames the U.S. as moving from aristocracy toward democracy’s late-stage dysfunction: populism, fragmentation, and institutional decay. The question ahead is whether we’re heading toward empire or collapse.
7. Decentralization is entropy, not salvation. Crypto dreams of DAOs and patchwork societies ignore the gravitational pull of power. Systems fragment as they weaken, but eventually a new center of order emerges. The real contest isn’t decentralization vs. centralization—it’s who will have the coherence and narrative strength to recentralize the pieces.