Your AI isn’t limited by intelligence. It’s limited by who owns your data

<div><figure><a href="https://substackcdn.com/image/fetch/%24s_!bjO0!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F4e166416-1126-413b-b1e4-02adf7df522c_1050x656.webp" rel="nofollow"><div><picture><source><img src="https://static.fwimg.io/img/feed/e526da0515c5c0fd8a6ac9284a39eafc.jpg" alt=""></source></picture><div><div><button></button><button></button></div></div></div></a></figure></div><p>I used to know these old school computer people who would keep harping on about why local first and private data is so awesome. To be frank, I just thought they were nerds finding problems for solutions.</p><p>However, with the rise of AI, things have shifted materially.</p><p>You see, your data right now is owned by various corporate overlords. Google for emails, Apple for digital life, Meta for social stuff. Now that’s usually not a bad thing since they give you a service. However in the age of AI these services restrict your data in very specific ways that make it hard for computers to get that data. </p><p>This is an issue because when you want your AI to be able to do things on your behalf in another service, it will have limits around what it can and can’t do. Many of these companies mask the problem by giving you access to their integrated AI solutions that make you feel productive and powerful inside their walled garden.</p><p>However, when you physically have all the data you care about on your hardware (either as files or in a locally run database), your AI has full access and context around what it needs. Couple this with the fact that open source models are becoming more and more capable, you have the power to have continuous digital intelligence working for you 24x7 at no additional cost (except electricity).</p><p>In contrast, those who have their data owned by external services will be at the mercy of their digital overlords and pay a heavy rent for their heavily marked up AI services.</p><p>The calculus for owning your own data has never been higher.</p><p>As an example, I now:</p><ul><li><p>Have systems running that scrape my own data from various services</p></li><li><p>Run local databases that let my own agents crawl through whenever they want however they want</p></li><li><p>Moved off Notion so my notes can be in Obsidian which can be used by Claude Code</p></li><li><p>Utilise old hardware running various services that can plug into the rich local ecosystem I’ve built up</p></li></ul><p>Every passing quarter I reduce my reliance on external software and data traps to increase the amount of compute I can personally harness.</p><p>All this to say, start working towards owning your own data because you’re going to need to for maximal leverage in the coming future.</p>

Don’t Let Big Tech Meter Your Intelligence

你的人工智慧並非受限於智能，而是受限於誰擁有你的數據。

<div><figure><a href="https://substackcdn.com/image/fetch/%24s_!bjO0!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F4e166416-1126-413b-b1e4-02adf7df522c_1050x656.webp" rel="nofollow"><div><picture><source><img src="https://static.fwimg.io/img/feed/e526da0515c5c0fd8a6ac9284a39eafc.jpg" alt=""></source></picture><div><div><button></button><button></button></div></div></div></figure></div><p>我以前認識一些老派的計算機人士，他們總是喋喋不休地講本地優先和隱私數據有多麼棒。坦白說，我當時只覺得他們是一群書呆子，只會找問題來解決問題。</p><p>然而，隨著人工智能的興起，情況發生了實質性的變化。</p><p>你看，你現在的數據掌握在不同的巨頭企業手中。谷歌負責電子郵件，蘋果負責數字生活，Meta負責社交。通常來說，這沒什麼不好，畢竟他們為你提供服務。然而，在人工智能時代，這些服務會以非常特殊的方式限制你的數據，使得計算機很難獲取這些數據。</p><p>這是一個問題，因為當你想讓AI代表你在其他服務中執行操作時，它的功能會受到限制。許多公司通過提供集成AI解決方案來掩蓋這個問題，讓你感覺在他們的封閉生態系統中高效且強大。</p><p>然而，當您將所有重要數據實際存儲在硬件上（無論是文件還是本地數據庫）時，您的人工智能就能完全訪問所需信息並瞭解其上下文。再加上開源模型的功能日益強大，您就能擁有全天候不間斷運行的數字智能，而且無需額外成本（電力除外）。</p><p>相比之下，那些將數據所有權交給外部服務商的用戶，將受制於這些數字霸主，併為其高價人工智能服務支付高額租金。</p><p>擁有自己數據的重要性從未如此之高。</p><p>例如，我現在：</p><ul><li><p>運行一些系統，從各種服務中抓取我自己的數據。</p></li><li><p>運行本地數據庫，讓我的代理可以隨時隨地以任何方式訪問這些數據庫。</p></li><li><p>我已將筆記從 Notion 遷移到 Obsidian，這樣 Claude Code 就可以使用 Obsidian 了。</p></li><li><p>利用運行各種服務的舊硬件，將其接入我構建的豐富的本地生態系統。</p></li></ul><p>每個季度我都會減少對外部軟件和數據陷阱的依賴，以增加我個人可以利用的計算量。</p><p>總而言之，現在就開始努力掌握自己的數據吧，因為在未來，你需要這樣做才能最大限度地發揮自身優勢。</p>

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