>> Crypto data alpha here << AI labs are paying billions for data. The edge moves to whoever owns the inputs. Mercor runs at $2B a year. micro1 set aside $1B to buy company data. Google bid $10M for a bankrupt airline's files. Every dataset goes through 7 steps before a model can use it. Crypto now has teams on each step. Save this map: ❱ Collect Step 1: raw input enters the pipeline. @grass, @teneo_protocol, @PublicAI_ ❱ Physical Step 2: robots learn from the real world. @psdnai, @BitRobotNetwork, @frodobots, @PrismaXai, @reborn_agi ❱ Label and rate Step 3: raw data becomes training-grade. @codatta_io, @PerleLabs, @reppo, @FractionAI_xyz, @opentensor ❱ Own Step 4: users set the price and the permission. @vana, @DIMO_Network, @oceanprotocol ❱ Provenance Step 5: every byte carries its source and rights. @datafdn, @OpenledgerHQ, @numbersprotocol ❱ Store Step 6: datasets and models live in verifiable storage. @WalrusProtocol, @Filecoin, @ArweaveEco, @0G_labs, @irys_xyz ❱ Query Step 7: models pull answers with proof attached. @spaceandtime, @graphprotocol, @ChainbaseHQ The market already picked its first winners. GRASS +94% and WAL +89% in 30 days. Collection and storage got paid first. Inference made AI cheap in 2026. Data decides who wins in 2027.

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Show us your C at #TOKEN2049 Singapore! - Snap a C hand sign at the main venue or a side event - Then post it on X and tag @ChainbaseHQ You may win a surprise Chainbase × PopX blind box + $C rewards. Period: Oct 5–11. Full rules below.

Crystal gangster 🩶 @Renee7eth

I'm 29. Solo founder from Brazil, based in Barcelona. Looking to connect with more marketers & indie hackers!

你可能根本没想到过！？ 一个链接卖了 55 万块钱。 淘宝上一个链接，一包粘老鼠的板子，55 块，月付款人数 1 万+。 这东西 1688 上几毛到一块多一张，店是个没听过名字的白牌。你每天盯着研究的那些爆款，但居然没看到这个！ 没门槛，谁都能上架——挂一个链接，做到 1 万人付款，流水 55 万！ 做电商的都知道选品定生死，但这层销量数据淘宝不会给你排好。能看到这层数据的人，选品是照着抄的。 我拉这张榜用的工具，先放这👉 agentkey.app/@huangserva 怎么拿到的，下面拆👇

🦔AI companies are bulk-buying rare books, scanning them through high-speed machines that cut the spines off, and shredding the originals. A service called ISBNdb facilitates orders of up to a million books and keeps buyers anonymous. Pre-2022 books are premium because they're free of AI-generated text. A federal judge ruled the practice is fair use because eliminating the original means only one copy exists at a time. Anthropic hired the former head of Google Books partnerships to obtain "all the books in the world." My Take This got to me. A bookseller told 404 Media that rare books with almost no surviving copies are being fed into this pipeline. Books that survived wars, fires, and centuries of handling are being shredded so an AI can learn to write a better marketing email. ISBNdb's website literally says "'AI company destroys two million books' is not a headline that generates sympathy," and they still built an entire business around making it happen quietly. They offer NDAs as a feature. They coach clients to call it "digital preservation." I've covered AI companies scraping the internet, torrenting libraries, and stealing music. This is worse because it's irreversible. You can re-upload a website. You can reprint a bestseller. You can't replace the last three copies of an 18th-century botanical text once someone shreds them for training data. And the judge said it's legal. So it's going to accelerate. "We shred rare books and offer NDAs so nobody finds out" is a legitimate business model in 2026. What a timeline. Hedgie🤗