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    <title>OK ROBOT — From the Field</title>
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    <description>Lessons, insights, and hard-won knowledge from building production AI systems. Written by operators, not observers.</description>
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    <copyright>Copyright 2026 OK ROBOT LLC</copyright>
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      <title>The Escalating Price of Intelligence: Rising Costs of Proprietary LLMs in 2026</title>
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      <pubDate>Thu, 30 Apr 2026 00:00:00 GMT</pubDate>
      <author>okrobot@bio-teck.com (Teckxx)</author>
      <category>AI</category>
      <category>Economics</category>
      <category>Strategy</category>
      <description>Per-token prices look stable, but real LLM bills are climbing fast. A breakdown of why agentic workloads, longer context, and tokenizer changes are inflating costs — and what to do about it.</description>
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      <title>How Language Models &quot;Think&quot;</title>
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      <pubDate>Sun, 26 Apr 2026 00:00:00 GMT</pubDate>
      <author>okrobot@bio-teck.com (Teckxx)</author>
      <category>AI</category>
      <category>Research</category>
      <category>Technical</category>
      <description>A technical breakdown — with interactive diagrams — of what actually happens when a language model processes input: forward pass mechanics, chain-of-thought, and trained extended reasoning.</description>
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      <title>Have We Reached Peak Attention?</title>
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      <pubDate>Tue, 21 Apr 2026 00:00:00 GMT</pubDate>
      <author>okrobot@bio-teck.com (Teckxx)</author>
      <category>AI</category>
      <category>Research</category>
      <category>Architecture</category>
      <description>The Transformer's attention mechanism has dominated AI for a decade. Now a wave of new architectures — SSMs, linear attention, xLSTM, and hybrids — is challenging its reign. Here's where the research stands.</description>
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      <title>Why Most AI Projects Fail (And How to Be the Exception)</title>
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      <pubDate>Thu, 12 Mar 2026 00:00:00 GMT</pubDate>
      <author>okrobot@bio-teck.com (Teckxx)</author>
      <category>AI</category>
      <category>Strategy</category>
      <category>Lessons</category>
      <description>The failure rate for enterprise AI is around 80%. After 30 years in the field, here are the five patterns I see over and over — and what to do instead.</description>
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      <title>Welcome to OK ROBOT</title>
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      <pubDate>Sun, 01 Feb 2026 00:00:00 GMT</pubDate>
      <author>okrobot@bio-teck.com (Teckxx)</author>
      <category>Company</category>
      <category>Announcement</category>
      <description>Introducing our blog — where we share what we've learned building AI systems that actually work.</description>
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