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      <title>AI Watermarking Just Changed the Rules, and Open Models Make It Messy</title>
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      <description>Anthropic now embeds an invisible watermark in Claude&apos;s output at generation time, hidden in word choice rather than metadata. Here&apos;s how it works, what it means for AI content and SEO, and why open-weight models can&apos;t be forced to carry the same signal.</description>
      <pubDate>Wed, 12 Aug 2026 00:00:00 GMT</pubDate>
      <author>Atish Raina</author>
      <category>AI Watermarking</category>
      <category>LLM</category>
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      <title>What&apos;s Actually Inside an AI Agent</title>
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      <description>An AI agent is a tool-calling while loop, nothing more, until real users show up. Here&apos;s what&apos;s actually inside one: tool calls, the agent loop, memory, tracing, retries, and guardrails, layer by layer.</description>
      <pubDate>Tue, 11 Aug 2026 00:00:00 GMT</pubDate>
      <author>Atish Raina</author>
      <category>AI Agents</category>
      <category>System Design</category>
      <category>LLM</category>
      <category>Observability</category>
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      <title>What Is CUDA, and Why Does GPU Programming Create Vendor Lock-In?</title>
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      <description>What CUDA actually is, how kernels, blocks and threads work, and why deep CUDA usage creates real vendor lock-in against AMD ROCm and Intel oneAPI.</description>
      <pubDate>Wed, 05 Aug 2026 00:00:00 GMT</pubDate>
      <author>Atish Raina</author>
      <category>CUDA</category>
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      <title>Building a Cache-Augmented Generation System From Scratch</title>
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      <description>How cache-augmented generation actually works, built from scratch with PyTorch and Hugging Face Transformers by prefilling a KV cache once and reusing it across questions.</description>
      <pubDate>Mon, 03 Aug 2026 00:00:00 GMT</pubDate>
      <author>Atish Raina</author>
      <category>AI Agents</category>
      <category>CAG</category>
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      <title>What RAG Actually Is (and Why Your LLM Doesn&apos;t Know Your Company Data)</title>
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      <description>How does RAG actually work? It doesn&apos;t retrain your LLM, it changes what the LLM sees at query time by combining indexing, embeddings, vector search, and generation over your private data.</description>
      <pubDate>Sat, 01 Aug 2026 00:00:00 GMT</pubDate>
      <author>Atish Raina</author>
      <category>AI Agents</category>
      <category>RAG</category>
      <category>LLM</category>
      <category>Vector Databases</category>
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      <title>Tokens! What They Actually Are</title>
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      <description>What are tokens in AI, really? Not words — they&apos;re subword units a tokenizer learns from raw text. Here&apos;s how tokenization, BPE, and token IDs actually work, and why it affects cost.</description>
      <pubDate>Thu, 30 Jul 2026 00:00:00 GMT</pubDate>
      <author>Atish Raina</author>
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