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Open Internet Pod · September 6 · 59 min

Crypto vs AI Bubble

The AI boom is starting to look a lot like the crypto bubble, and the warning signs are getting harder to ignore. Alex and Richard unpack how overpromising, circular financing, inflated valuations, and a flood of hype can turn a promising technology into a market built on stories instead of fundamentals. They start with the latest tech and product updates from Soto, including the revised website and what’s changing before launch, then move into the bigger question: why do bubbles keep forming around the same playbook? From crypto’s collapse to today’s AI gold rush, this episode connects the dots between hype cycles, VC incentives, and the pressure to scale before the actual use case is proven. You’ll discover: why AI hallucinations are more than just a technical flaw and why “hallucination” may be a polite word for lying how LLMs can be genuinely useful for coding while still falling far short of AGI claims why biometric KYC and age-verification systems are easier to bypass than regulators admit how Sony’s “you don’t own your games” email reveals the shrinking meaning of ownership in digital platforms why the most dangerous bubbles are the ones that need you to believe the future will pay for the present If you care about AI, crypto, digital ownership, privacy, or the next bubble everyone is pretending not to see, this one is essential listening. Timestamps: 0:00 — Introduction and Stream Check 0:00 — Latest Developments in the Soto Project 0:00 — The Vision of Soto as a Network, Not Just a Platform 0:00 — Disintermediation and Peer-to-Peer Technology 0:41 — The Current State of the AI Bubble and Overpromising 5:39 — AI Capabilities and Limitations 11:24 — Ownership, Privacy, and Surveillance in Digital Goods 14:23 — The Problem with Digital Identity Verification 17:11 — The Shift from Ownership to Licensing in Digital Goods 23:23 — The Overvaluation of Tech Companies and Market Hype 30:29 — The Race for AI Valuations and Market Dominance 34:43 — The VC Model and Incentives in Tech Bubbles 42:33 — Subsidies, Costs, and the Economics of AI 49:32 — Fundamentals and Obfuscation in Tech Projects 54:02 — Simplifying Complex Systems and Incentives 57:44 — The Decline of Trust and Reliance on State and Platforms 59:11 — Conclusion and Next Steps

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transcript

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show notes

The AI boom is starting to look a lot like the crypto bubble, and the warning signs are getting harder to ignore. Alex and Richard unpack how overpromising, circular financing, inflated valuations, and a flood of hype can turn a promising technology into a market built on stories instead of fundamentals.

They start with the latest tech and product updates from Soto, including the revised website and what’s changing before launch, then move into the bigger question: why do bubbles keep forming around the same playbook? From crypto’s collapse to today’s AI gold rush, this episode connects the dots between hype cycles, VC incentives, and the pressure to scale before the actual use case is proven.

You’ll discover:

why AI hallucinations are more than just a technical flaw and why “hallucination” may be a polite word for lying

how LLMs can be genuinely useful for coding while still falling far short of AGI claims

why biometric KYC and age-verification systems are easier to bypass than regulators admit

how Sony’s “you don’t own your games” email reveals the shrinking meaning of ownership in digital platforms

why the most dangerous bubbles are the ones that need you to believe the future will pay for the present

If you care about AI, crypto, digital ownership, privacy, or the next bubble everyone is pretending not to see, this one is essential listening.


Timestamps:
0:00 — Introduction and Stream Check

0:00 — Latest Developments in the Soto Project

0:00 — The Vision of Soto as a Network, Not Just a Platform

0:00 — Disintermediation and Peer-to-Peer Technology

0:41 — The Current State of the AI Bubble and Overpromising

5:39 — AI Capabilities and Limitations

11:24 — Ownership, Privacy, and Surveillance in Digital Goods

14:23 — The Problem with Digital Identity Verification

17:11 — The Shift from Ownership to Licensing in Digital Goods

23:23 — The Overvaluation of Tech Companies and Market Hype

30:29 — The Race for AI Valuations and Market Dominance

34:43 — The VC Model and Incentives in Tech Bubbles

42:33 — Subsidies, Costs, and the Economics of AI

49:32 — Fundamentals and Obfuscation in Tech Projects

54:02 — Simplifying Complex Systems and Incentives

57:44 — The Decline of Trust and Reliance on State and Platforms

59:11 — Conclusion and Next Steps