Hook
Dave Eggers just declared war on OpenAI. His weapon? A letter. His target? The classroom.
He told their employees: ChatGPT’s impact on education is “disastrous.” Not hyperbolic. Not speculative. A direct warning from a novelist who watched the internet eat publishing, now sees AI eating the next generation’s ability to think.
But here is the part that keeps me up at night: the article wrapped this warning in a question about “cultural cost” and “crypto identity.” Why? Because the publication is Crypto Briefing. Because somewhere in the editorial chain, someone believed that decentralized identity—Soulbound Tokens, on-chain credentials, whatever the latest rebrand is—could be the antidote.
I’ve been in this space long enough to know that when a narrative pivots to “we need crypto to fix this,” you should check the smart contract. Twice.
Context
First, let’s parse the actual event. Dave Eggers—author of The Circle, a novel that eerily predicted surveillance capitalism—wrote an open letter to OpenAI employees. He didn’t tweet. He didn’t publish a Medium post. He wrote a letter. That’s weight. He warned that ChatGPT’s ability to generate essays, solve homework, and mimic student voice is destroying the fundamental contract of education: the student submits original work, the teacher evaluates thinking, and both grow.
Eggers sees a world where students outsource cognition to a machine. Teachers become detectors. Education becomes a game of evasion versus detection. The cultural cost? A generation that never learns to struggle with a blank page, never hones the muscle of argumentation, never understands that writing is thinking.
The article then raises crypto identity as a potential response. The logic: if students have a unique, non-transferable digital identity—like a Soulbound Token—their work could be cryptographically signed and verified. Cheating becomes harder because AI-generated content doesn’t match the student’s historical fingerprint.
I read that and immediately thought: This is the same crowd that promised algorithmic stablecoins would fix volatility. Look where that got us.
Core
Let me pull from my own experience. In 2020, I wrote an MEV bot to arbitrage Uniswap V1 and MakerDAO. Over 4,000 trades. $145,000 profit before Uniswap V2 killed the opportunity. The lesson? Code efficiency equals P&L. But the deeper lesson: every exploit is temporal. The window closes.
The same applies to education and AI. Right now, the exploit is open: students can use ChatGPT to cheat. Universities are scrambling with AI detectors that false-flag non-native speakers. The cost is real. But the window is closing—not because detection gets better, but because the entire model of assessment will shift. In-person exams. Oral defenses. Process portfolios.
Now, the crypto identity angle. I audited the Curve Finance pool dependency on UST three weeks before the collapse. I saw fragility. I see the same here. The idea that a Soulbound Token—a blockchain record of your academic history—could solve the AI cheating problem is structurally fragile for three reasons.
First, no one wants their credit record permanently on-chain. That’s why SBTs have been a concept for three years with zero meaningful adoption. Students don’t want a permanent record of their GPA on a public ledger. Universities don’t want liability. The regulatory angle is a minefield.
Second, the assumption that blockchain verification prevents AI cheating is false. A student could generate an essay with ChatGPT, then manually rewrite it to match their style. The SBT signs the final version, but the thinking was still outsourced. The cryptographic signature only proves ownership, not originality.
Third, the scalability problem. On-chain verification for every assignment? The gas costs alone would make school budgets weep. Layer-2 solutions help, but now you’re layering complexity on top of an already broken system.
During the 2022 Terra collapse, I saw sophisticated actors ignore my warnings because they believed “this time is different.” It wasn’t. The same cognitive bias is at play here: believing that a technology (blockchain) can solve a social problem (AI cheating) without addressing the root incentive misalignment.
What is the root incentive? Students cheat because the reward for a good grade outweighs the risk of detection. SBTs don’t change that calculus. They add friction. Friction only works if the cost of cheating is higher than the reward. Right now, the reward is immense and the friction is minimal.
In 2024, I executed a $2.1 million trade on BTC perpetual futures ahead of the ETF approval. The trade worked because I linked regulatory timelines to leverage. But I also knew that markets don’t care about your narrative—they care about liquidity. In education, liquidity is the ease of cheating. And ChatGPT has made that liquidity infinite.
No amount of blockchain identity will drain that pool until the underlying assessment model changes.
Contrarian
Here is the angle the Crypto Briefing article missed: the real threat to education is not AI cheating. It’s the centralization of knowledge production.
Right now, OpenAI controls the model. They decide what is considered “good” writing. They shape the output. Students using ChatGPT are not just cheating—they are being trained on a homogenized, American-centric, corporate-sanitized version of knowledge. The cultural cost is not that students can cheat; it’s that they stop learning how to think differently.
Crypto identity, in theory, could combat this by allowing diverse, grassroots verification of credentials. A decentralized network of educators could attest to a student’s ability without relying on a single institution. That would be a genuine innovation.
But here’s the problem: the crypto industry has failed to build anything that educators actually want to use. I’ve tested the existing SBT platforms. They require gas fees, wallet setup, and technical literacy that most teachers lack. The UX is worse than Blackboard. And that’s saying something.
The contrarian truth is that the best defense against AI in education is not technology—it’s human judgment. Smaller class sizes. More one-on-one interaction. Emphasis on process over product. These are expensive, low-tech, and politically unpopular. But they work.
Crypto identity is a narrative band-aid. It sounds good on stage. It sells tokens. But ask any teacher if they would trust a Soulbound Token over a personal recommendation, and you’ll get a blank stare.
Takeaway
The Eggers letter is a canary. But the crypto industry is looking for the wrong coal mine. Instead of pouring resources into SBTs for education, the smart money should ask: what happens to the $200 billion test prep and credentialing industry when AI makes exams meaningless? Who profits from the rebuild?
My bet is on platforms that enable non-AI-assisted skill demonstration. Think live coding interviews, proctored simulations, peer-reviewed portfolios. These are already emerging. They don’t need blockchain. They need trust.
If crypto wants to matter in education, stop building identity primitives. Start building verification protocols that reduce the friction of trust. That means zero-knowledge proofs for privacy, not permanent ledgers. That means incentives for honest feedback, not algorithmic grading.
Until then, Eggers is right. The disaster is real. But the solution is not a token—it’s a rethinking of what we value.
In DeFi, liquidity is the only truth that matters. In education, integrity is the only truth. And no smart contract can fake that.
