温馨提示：本站仅提供公开网络链接索引服务，不存储、不篡改任何第三方内容，所有内容版权归原作者所有
AI智能索引来源：http://www.bee.com/id/66062.html
点击访问原文链接

The End of Tokenization Illusion: How Vitalik’s Four Quadrants Rewrite the AI×Crypto Script | Bee Network

进入原网站 导航首页
The End of Tokenization Illusion: How Vitalik’s Four Quadrants Rewrite the AI×Crypto Script | Bee Network Login Berita Trending Meme Launchpad Agen AI DeSci Penjelajah Rantai Atas Untuk Newbee 100x Koin Permainan Lebah Situs Web Penting APLIKASI yang Harus Dimiliki Selebriti Kripto DePIN Pemula Penting Detektor Perangkap Alat Dasar Situs Web Tingkat Lanjut Pertukaran Alat NFT Hai, Keluar Alam Semesta Web3 permainan DApp Sarang lebah Platform Berkembang IKLAN Mencari Bahasa inggris Isi Ulang Koin Gabung Unduh Universitas Web3 permainan DApp Sarang lebah IKLAN rumah-Analisis-The End of Tokenization Illusion: How Vitalik’s Four Quadrants Rewrite the AI×Crypto Script The End of Tokenization Illusion: How Vitalik’s Four Quadrants Rewrite the AI×Crypto ScriptAnalisis2 minggu yang lalu发布Wyatt 6,564 38 After two years, Vitalik has posted on Twitter again. Following up on the research report from two years ago, I’d like to share some thoughts. Even the date is exactly the same, February 10th.

Two years ago, Vitalik actually implicitly expressed that he wasn’t very optimistic about the various “Crypto Helps AI” trends that were popular at the time. The three major narratives in the circle back then were computing power assetization, data assetization, and model assetization. My research report two years ago mainly discussed some observed phenomena and doubts regarding these three narratives in the primary market. From Vitalik’s perspective, he was more bullish on “AI Helps Crypto”.

The examples he gave at the time were:

AI as a participant in games; AI as a game interface; AI as game rules; AI as a game objective; Over the past two years, we have made many attempts in “Crypto Helps AI”, but with little effect. Many sectors and projects ended up just – issuing a token and calling it a day, lacking real Product-Pasar Fit (PMF). I call this the “tokenization illusion”.

1. Computing Power Assetization – Most cannot provide commercial-grade Service Level Agreements (SLAs), are unstable, and frequently go offline. They can only handle simple, small-to-medium model inference tasks, mostly serving niche markets. Revenue is not linked to the token…

2. Data Assetization – High friction, low willingness, and high uncertainty on the supply side (retail users). The demand side (enterprises) requires structured, context-dependent professional data suppliers with trust and legal liability. It’s difficult for DAO-led Web3 projects to provide this.

3. Model Assetization – Models themselves are non-scarce, replicable, fine-tunable, rapidly depreciating process assets, not final-state assets. Hugging Face itself is a collaboration and dissemination platform, more like “GitHub for ML” rather than an “App Store for models”. Therefore, projects attempting to tokenize models via a “decentralized Hugging Face” have mostly ended in failure.

Additionally, over these two years, we have tried various forms of “verifiable inference”, which is a classic case of a solution looking for a problem. From ZKML to OPML to Game Theory, etc., even EigenLayer shifted its Restaking narrative to Verifiable AI.

But it’s largely similar to what happened in the Restaking sector – few AVSs (Actively Validated Services) are willing to pay continuously for extra verifiable security.

Similarly, verifiable inference is mostly about verifying “things that nobody really needs verified”. The threat model on the demand side is extremely vague – who exactly are we defending against?

AI output errors (model capability issues) far outnumber cases of AI output being maliciously tampered with (adversarial problems). As we’ve seen from various security incidents on platforms like OpenClaw and Moltbook recently, the real problems stem from:

Incorrect policy design Excessive permissions granted Unclear boundaries Unexpected interactions from tool combinations  … Scenarios like “the model being tampered with” or “the inference process being maliciously rewritten” are almost non-existent, imagined nails for the verifiability hammer.

I posted this chart last year, not sure if any old-timers remember.

The ideas Vitalik presented this time are clearly more mature than two years ago, also due to the progress we’ve made in various directions like privacy, X402, ERC8004, prediction markets, etc.

We can see that the four quadrants he outlined this time, half belong to “AI Helps Crypto” and the other half to “Crypto Helps AI”, no longer leaning heavily towards the former as it did two years ago.

Top-left and bottom-left – Utilizing Ethereum’s decentralization and transparency to solve AI’s trust and economic collaboration problems

 1.Enabling trustless and private AI interaction (Infrastructure + Survival): Using technologies like ZK, FHE to ensure the privacy and verifiability of AI interactions (not sure if the verifiable inference I mentioned earlier counts).

 2. Ethereum as an economic layer for AI (Infrastructure + Prosperity): Enabling AI agents to conduct economic payments, hire other bots, post collateral, or establish reputation systems through Ethereum, thereby building a decentralized AI architecture not limited to a single giant platform.

Top-right and bottom-right – Utilizing AI’s intelligent capabilities to optimize the user experience, efficiency, and governance of the kripto ecosystem: 

3. Cypherpunk mountain man vision with local LLMs (Impact + Survival): AI as a user’s “shield” and interface. For example, local LLMs can automatically audit smart contracts, verify transactions, reducing reliance on centralized front-ends, and safeguarding individual digital sovereignty.

4. Make much better markets and governance a reality (Impact + Prosperity): AI deeply participating in prediction markets and DAO governance. AI can act as efficient participants, amplifying human judgment by processing information at scale, solving various market and governance issues like insufficient human attention, high decision-making costs, information overload, and voter apathy.

Previously, we were desperately trying to make Crypto Help AI, while Vitalik stood on the other side. Now we finally meet in the middle, though it seems unrelated to various XX tokenizations or so-called AI Layer1s. Hopefully, looking back at today’s post in two years, there will be some new directions and surprises.

Artikel ini bersumber dari internet: The End of Tokenization Illusion: How Vitalik’s Four Quadrants Rewrite the AI×Crypto Script

Analisis ## kripto# ethereumPasar ## TandaAlat ## web3© 版权声明Array 上一篇 Commercials during the American Spring Festival Gala all look like scams 下一篇 ICE, Parent Company of NYSE, Makes Major Moves with Index Futures Contracts and Predictive Market Sentiment Tools 相关文章 BaruThe War Between Stablecoins and Banking May Not Actually Exist 6086cf14eb90bc67ca4fc62b 3,782 1 With the rise of stablecoins, can Bitcoin’s “currency payment dream” still be realized? 6086cf14eb90bc67ca4fc62b 21,425 4 Vanguard Group’s $7 Billion Entry, Has MSTR Bottomed Out? 6086cf14eb90bc67ca4fc62b 8,886 Bulan Desember dimulai dengan crash kilat, dan level support utama BTC di $80.000 dalam bahaya. 6086cf14eb90bc67ca4fc62b 14,683 1 Firm belief after the security crisis: Why SUI still has the potential for long-term growth? 6086cf14eb90bc67ca4fc62b 31,180 2 When “Intent” Becomes the Standard: How Can OIF End Cross-Chain Fragmentation and Return Web3 to User Intuition? 6086cf14eb90bc67ca4fc62b 24,835 2 Tidak ada komentar Anda harus login untuk meninggalkan komentar! Segera masuk Tidak ada komentar... artikel Terbaru Did Jane Street “Manipulate” BTC? Decoding the AP System, Understanding the Power Struggle Behind ETF Creation and Redemption Pricing 14 jam yang lalu 524 Stop Comparing Bitcoin to Gold—It’s Now a High-Volatility Software Stock 14 jam yang lalu 625 Matrixport Research: $25 Billion Gamma Unwinding Imminent, Liquidity Yet to Return Behind the Rebound 14 jam yang lalu 582 ERC-5564: Ethereum’s Stealth Era Has Arrived, Receiving Addresses No Longer ‘Exposed’ 14 jam yang lalu 501 Hong Kong Regulatory Green Light: Asseto Enables DL Holdings to Achieve Compliance for Two RWA Business Implementations 14 jam yang lalu 546 Situs Web PopulerTempoLighterGAIBGliderPlanckRaylsBCPokerVooi Bee.com Portal Web3 terbesar di dunia Mitra KoinCarp binance KoinMarketCap KoinGecko hidup koin Armor Unduh Aplikasi Bee Network dan mulai perjalanan web3 Kertas putih Peran Pertanyaan Umum © 2021-2026. Semua Hak Cipta Dilindungi Undang-Undang. Kebijakan pribadi | Ketentuan Layanan Unduh Aplikasi Jaringan Lebah dan memulai perjalanan web3 Portal Web3 terbesar di dunia Mitra CoinCarp Binance CoinMarketCap CoinGecko Coinlive Armors Kertas putih Peran Pertanyaan Umum © 2021-2026. Semua Hak Cipta Dilindungi Undang-Undang. Kebijakan pribadi | Ketentuan Layanan Mencari MencariDi dalam SitusDi RantaiSosialBerita 热门推荐： Pemburu Airdrop Analisis data Selebriti Kripto Detektor Perangkap Bahasa Indonesia English 繁體中文 简体中文 日本語 Tiếng Việt العربية 한국어 हिन्दी اردو Русский Bahasa Indonesia

智能索引记录