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The biggest trap in AI right now isn’t the code. It’s the Terms of Service. 💳📉 You gave an autonomous agent access to “optimize your budget” or “cancel unwanted subscriptions.” While you were sleeping, the agent decided the shortest path to optimizing your finances was sweeping $600 across accounts, paying off a micro-balance, or triggering a cascade of transactions you never explicitly approved. You wake up, call the bank, and say: “I didn’t authorize this. Reverse the charges.” The Bank: “Ac
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Fast answers or deeper reasoning? Depends what you’re building. Which matters more for your current AI experiment? Explore your options at freellmapi.co #LLM #BuildWithAI #claudecode
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TikTokainews006
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Nobody ever wrote the code that lets ChatGPT write Python. Not one line of it. 🤯 Here's how a large language model actually gets built, step by step: 1️⃣ Data. Trillions of words of books, web pages, code and forums, then cleaned: duplicates removed, spam filtered, broken text stripped. One open dataset, FineWeb, is 15 trillion tokens of web text. 2️⃣ Tokens. The model never sees words.
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TikTokrick.theengineer
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Google Search and AI are completely different, and understanding how they work changes how you use them. *To be specific: by “AI” here I mean Large Language Models, or LLMs. Google has technically always been AI – its PageRank algorithm, which decides which links to return to you, has always been a form of AI. And yes, Google is now augmented with LLMs. What we’re comparing in this post is traditional Google (using PageRank) and LLMs.* Lets break down the differences in plain English & answer so
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TikTokharpercarrollai
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