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  <title>Art of Cyber AI — Research Feed</title>
  <subtitle>Field notes on reinforcement learning, LLM post-training, agent evaluation, and efficient inference.</subtitle>
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  <updated>2026-08-16T12:00:00-07:00</updated>
  <author>
    <name>Vikram Kharvi</name>
    <uri>https://artofcyberai.com/</uri>
  </author>
  <entry>
    <title>One machine. Two different jobs.</title>
    <link href="https://trainrl.com/post-evals-rl-environments.html" rel="alternate" type="text/html"/>
    <id>https://trainrl.com/post-evals-rl-environments.html</id>
    <published>2026-08-15T12:00:00-07:00</published>
    <updated>2026-08-15T12:00:00-07:00</updated>
    <summary>Why post-training evaluation and reinforcement-learning environments need different abstractions, even when they run on the same machine.</summary>
  </entry>
  <entry>
    <title>Inference begins with a service contract</title>
    <link href="https://inference.artofcyberai.com/inference-service-contract.html" rel="alternate" type="text/html"/>
    <id>https://inference.artofcyberai.com/inference-service-contract.html</id>
    <published>2026-08-13T12:00:00-07:00</published>
    <updated>2026-08-16T12:00:00-07:00</updated>
    <summary>Define time to first token, inter-token latency, throughput, availability, workload shape, and cost before choosing serving hardware.</summary>
  </entry>
  <entry>
    <title>Pre-training a language model</title>
    <link href="https://pre-trained.artofcyberai.com/tech-tokenization-model-design.html" rel="alternate" type="text/html"/>
    <id>https://pre-trained.artofcyberai.com/tech-tokenization-model-design.html</id>
    <published>2026-08-13T12:00:00-07:00</published>
    <updated>2026-08-16T12:00:00-07:00</updated>
    <summary>A research runbook connecting corpus design, tokenization, Transformer training, distributed execution, checkpoints, and reproducible evidence.</summary>
  </entry>
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