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For episode 255 of the Crypto Altruists podcast, we're doing something a little different. No guest, no interview, just a conversation about something that's been on my mind: the parallels between crypto's hype cycle and the moment AI is in right now.

A few years ago, we were told crypto would change everything. It would bank the unbanked, topple corrupt institutions, create generational wealth, and solve humanity's hardest problems. Some of that came true. A lot of it didn't. And along the way, the noise, the scams, and the booms and busts drove people away and bred a lasting resentment toward the entire space.

But here's the hopeful part: once the hype faded and the dust settled, the real use cases quietly emerged. Stablecoins delivering aid and remittances. Transparent, on-chain philanthropy. Tokenization funding community-owned infrastructure. The "boring," behind-the-scenes applications turned out to be the ones creating impact at scale.

Today, I want to make the case that the Artificial Intelligence (AI) space is running almost the exact same playbook. The same totalizing promises, the same accelerationist fervor, and the same growing public backlash. This isn't an anti-AI episode, and it's not anti-crypto either. It's a pragmatic, human-centered take on managing hype, recognizing and mitigating real harms, and protecting the genuinely good stuff so it has a chance to grow. Because if there's one thing crypto taught us, it's that a technology can't thrive at scale without human buy-in.

We'll also touch on what responsible development could look like, from the "do no harm" principle borrowed from the development world to the recent call from leaders within the AI industry itself, like Anthropic, for a collective pause mechanism.

In today's discussion, you'll learn:

🪙 What crypto's hype cycle cost us, and why so much of that messy experimentation was still necessary

🤝 Why pushing "AI for everything" may actually be hurting AI, just like the hype hurt crypto

🌱 Where the real impact lives once the noise fades, from stablecoins to transparent giving to community-owned infrastructure

🧭 What responsible, human-centered development could look like, and how to separate hype from hope

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Key Takeaways

🪙 Hype has a human cost, and crypto already showed us the bill: When crypto promised to fix everything, the noise, scams, and volatility didn't just fade harmlessly. They drove people away and bred a lasting resentment toward the whole space. But here's the nuance that matters: a lot of that messy experimentation was still necessary. The same frenzy that burned people also funded and stress-tested the infrastructure the good use cases now rely on. Hype isn't purely the villain. It's a phase with real costs and real byproducts, and the question was never "hype or no hype." It was how to get through it without losing people and torching the trust we need to actually scale the good.

🌱 The boring stuff wins, and that's a good thing: Once crypto's hype died down, the real impact emerged from the quiet, unglamorous, behind-the-scenes applications. Stablecoins delivering cash transfers to refugees and cutting remittance fees. Transparent, on-chain philanthropy. Tokenization funding community-owned infrastructure. The flashiest promises faded, but the genuinely useful infrastructure stuck around and started creating impact at scale. AI will likely follow the same arc: its durable value will come from the focused, human-centered tools, not the hype-machine promises.

🧭 AI can't thrive without human buy-in, so build like it: AI is running crypto's playbook in real time: the same "fixes-every-woe" promises, the same accelerationist race to build as fast as possible, and the same growing public backlash, from resentment to people organizing against data centers. By pushing "AI for everything," we may actually be hurting AI's long-term future, just like the hype hurt crypto. The path forward is more pragmatic and human-centered: borrow the "do no harm" principle from the development world, take seriously even the industry's own calls for a collective pause, and pace progress so society can keep up. Managing hype responsibly isn't how you kill a technology. It's how you protect its future.

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Episode Time Stamps:

03:10 - Part 1: Crypto's Hype Cycle, A Cautionary Tale

05:25 - Part 2: The Quiet Consolidation, Where the Real Impact Lives

07:45 - Part 3: AI Is Running the Same Playbook

10:25 - Part 4: A More Responsible Path, Do No Harm

12:40 - Part 5: Separating Hype from Hope