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I've been thinking about the current AI trend and how the infrastructure might evolve. Phase 1 was clearly the GPU boom for training the models. Phase 2 seems to be the inference and edge computing boom for actually running them everywhere. Does it make sense that Phase 3 could be autonomous AI agents needing a native settlement layer? Since an AI can't open a traditional corporate bank account or pass KYC to use services like Stripe, crypto seems like the most practical way for them to transact with each other (AI-to-AI) and pay traditional companies for things like APIs, web scraping, or cloud storage (AI-to-Business). If this scenario actually plays out, do you think networks like ETH, SOL, or LINK are well-positioned to capture this volume? Or is the idea of AI agents driving blockchain adoption still too far off? Would love to hear your thoughts on this timeline.

Hey everyone! I've been working on a small project called Crypto Return Matrix. I wanted a simple way to compare historical returns across multiple crypto assets without constantly switching between charts. The site currently supports BTC, ETH, BNB, XRP, SOL, TRX, ZEC, HYPE, DOGE, and LINK. You can explore daily, weekly, monthly, quarterly, and yearly returns, along with statistics such as average return, median return, win rate, best return, and worst return. It's free to use: [https://crypto-return-matrix.vercel.app/](https://crypto-return-matrix.vercel.app/) I'd appreciate feedback on the data, usability, and features you'd like to see next. *Disclaimer: Historical returns don't guarantee future performance. This is a data exploration tool, not financial advice.*