
Tokens, Models, and Bubbles: The Crypto × AI Game in the Tier 1 Market
Author: Lao Bai Original title: Looking at Crypto × AI: A Tokenization Illusion Experiment After a lapse of 2 years, V posted Twi again. I'll follow the research report from two years ago. Even the time was exactly the same, February 10. (Related reading: ABCDE: Sorting out AI+Crypto from the perspective of the primary market) 2 years ago, God V vaguely expressed that he was not very optimistic about the various Crypto Helps AI we were popular at the time. The popular troika in the industry at the time was computing power capitalization, data capitalization, and model capitalization. My research report from 2 years ago was mainly about some of the phenomena and questions that this troika observed in the primary market. From the perspective of God V, he is still more optimistic about AI Helps Crypto. A few examples he gave at the time were: AI as a player in a game; AI as a game interface; AI as a game rule; AI as a game goal; in the past two years, we actually tried a lot of things on Crypto Helps AI, but there were few results. Many tracks and projects were all - just sending a coin, there was no real commercial PMF; I called it the “tokenization illusion.” 1. Capitalization of computing power - Most are unable to provide commercial-grade SLAs, are unstable, and frequently disconnected. It can only handle simple small to medium model inference tasks. Most serve marginal markets, and revenue is not linked to tokens... 2. Data capitalization - High supply-side (retail) friction, low will, and high uncertainty. On the demand side (enterprise), what is needed is a structured, context-dependent, professional data provider with trust and legal responsibility. Web3 projects that are DAO entities are difficult to provide. 3. Model capitalization - The model is inherently a process asset that is not scarce, can be replicated, fine-tuned, and rapidly depreciated, rather than a final asset. Hugging Face itself is a collaboration and communication platform, more like GitHub for ML, rather than App Store for models, so the so-called “decentralized Hugging Face” tokenizing models basically ended in failure. Furthermore, we have tried various “verifiable deductions” in the past two years. This is also a typical story of finding a nail with a hammer. From zkml to OPML to Gaming Theory, etc., even EigenLayer turned his restaking narrative into verifiable AI. But it's basically similar to what happened at the Restaking Track - few AVS are willing to keep paying for additional verifiable security. Similarly, verifiable reasoning is basically verifying “something no one really needs to be verified”, and the demand-side threat model is extremely vague - who is being protected? There are far more AI output errors (model capability issues) than AI output being maliciously tampered with (counterfeit problem). Some time ago, everyone also saw various security incidents on OpenClaw and MoltBook. The real problem comes from: the wrong strategy design gives more permissions, no clear boundaries, and there are almost no imaginary nails where “the model is tampered with” and “the inference process is maliciously rewritten.” I posted this picture last year, and I don't know if Lao Tie remembers it. The ideas given by God V this time are clearly more mature than two years ago, also because of our progress in various directions such as privacy, X402, ERC8004, and forecasting the market. It can be seen that half of the four quadrants he divided this time belongs to AI Helps Crypto, and the other half belongs to Crypto Helps AI, and is no longer clearly biased towards the front two years ago. Top left and bottom left - Using Ethereum's decentralization and transparency to solve AI trust and economic collaboration issues 1. Using ZK, FHE and other technologies to ensure the privacy and verifiability of AI interactions (I don't know if the verifiability reasoning I mentioned earlier counts). 2. Ethereum as an economic layer for AI (infrastructure + prosperity): Enabling AI agents (Agents) to conduct transactions through Ethereum...







