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    <copyright>Copyright 2026 Serverlessvc.com</copyright>
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      <title>The Compound Startup Sandwich</title>
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      <pubDate>Wed, 16 Sep 2026 00:00:00 +0000</pubDate>
      <dc:creator>Mohinish Shaikh</dc:creator>
      <category>Blog</category>
      <category>Compound Startups</category>
      <category>AI Agents</category>
      <category>Data Infrastructure</category>
      <description>Own the data foundation below SaaS and the agents above it, and the product surface in the middle stops being a moat. With primary figures from Salesforce FY26 results, the Zylo 2026 SaaS Management Index, Epoch AI inference price data, Gartner, Rippling and Rox, plus four charts, eight tables and the counter-case.</description>
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      <title>Alpha Without Prediction</title>
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      <pubDate>Mon, 14 Sep 2026 00:00:00 +0000</pubDate>
      <dc:creator>Pragadeesh VS</dc:creator>
      <category>Blog</category>
      <category>AI Investing</category>
      <category>Agent Evaluation</category>
      <category>Quant Research</category>
      <description>The 2026 evidence on language-model agents in markets. No agent-discovered strategy passed certification once search intensity was counted, a live fleet lost $217,000 across 7.5 million model calls, and the value that survives is breadth rather than forecasting skill. Eleven signal families graded durable, decaying, unproven or illusory.</description>
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      <title>What If a Movie No Longer Needed to Cost Millions?</title>
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      <pubDate>Tue, 08 Sep 2026 00:00:00 +0000</pubDate>
      <dc:creator>Serverlessvc.com</dc:creator>
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      <category>AI Media</category>
      <category>Film Economics</category>
      <description>A line-by-line cost model of AI-native film production, benchmarked against Hanuman Ansh, the Rs 2 crore film that grossed Rs 72 crore. A film is a project management problem wearing an art form's clothes: attack coordination rather than generation and a $10M feature falls dramatically.</description>
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      <title>Build the Environments, Not the Workforce</title>
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      <pubDate>Mon, 07 Sep 2026 00:00:00 +0000</pubDate>
      <dc:creator>Mohinish Shaikh</dc:creator>
      <dc:creator>Pragadeesh VS</dc:creator>
      <category>Blog</category>
      <category>Market Research</category>
      <category>RL Environments</category>
      <category>AI Data Economy</category>
      <description>Six high-value AI data categories assessed, with one recommendation for a two-person engineering team: reinforcement-learning environments with working verifiers. Includes price anchors, incumbent mapping, jurisdictional constraints, and a twelve-month entry plan.</description>
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      <title>Paper summary: Automated Researchers Can Reliably Mitigate Alignment Failures</title>
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      <pubDate>Wed, 02 Sep 2026 00:00:00 +0000</pubDate>
      <dc:creator>Serverlessvc.com</dc:creator>
      <category>Papers</category>
      <category>AI Safety</category>
      <category>Alignment</category>
      <description>Summary of Anthropic's August 2026 paper showing that Claude Opus 4.8 agents can reliably post-train models to mitigate ten alignment failures, generalize to held-out benchmarks and larger models, and outperform ideas from 28 experienced human researchers.</description>
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