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    <title>Edward Barnard — English</title>
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    <description>Edward Barnard — English</description>
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    <lastBuildDate>Sat, 22 Aug 2026 00:00:00 +0000</lastBuildDate>
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      <title>Through the Eye of the Eagle: Finding the Path to Soviet Supercomputing</title>
      <link>https://ewbarnard.com/en/courses/eye-of-eagle</link>
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      <pubDate>Sat, 22 Aug 2026 00:00:00 +0000</pubDate>
      <description>This fourth apprenticeship volume opens with the battleship Orel still afloat at the Battle of Tsushima, kept upright by Alexei Krylov&apos;s mathematics of unsinkability, and follows that same insistence on physical consequence into the heart of Soviet supercomputing. Working from Russian-language primary sources and reproducing the calculations by hand, it traces one invariant (how numerical error really accumulates) from Krylov&apos;s 1906 lectures to Glushkov and Yushchenko&apos;s Kiev computer, and shows it surfacing in the West in 2019. Along the way it examines an &quot;overcoming the barrier&quot; technique behind the Kiev machine&apos;s hardware loops and asks what a computing culture achieves when it invests in people rather than hardware. This book earns a place in the apprenticeship series by being a fable for our times, told entirely through worked examples.</description>
    </item>
    <item>
      <title>Through the Eye of the Eagle: Finding the Path to Soviet Supercomputing</title>
      <link>https://ewbarnard.com/en/books/eye-of-eagle</link>
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      <pubDate>Sat, 22 Aug 2026 00:00:00 +0000</pubDate>
      <description>This fourth apprenticeship volume opens with the battleship Orel still afloat at the Battle of Tsushima, kept upright by Alexei Krylov&apos;s mathematics of unsinkability, and follows that same insistence on physical consequence into the heart of Soviet supercomputing. Working from Russian-language primary sources and reproducing the calculations by hand, it traces one invariant (how numerical error really accumulates) from Krylov&apos;s 1906 lectures to Glushkov and Yushchenko&apos;s Kiev computer, and shows it surfacing in the West in 2019. Along the way it examines an &quot;overcoming the barrier&quot; technique behind the Kiev machine&apos;s hardware loops and asks what a computing culture achieves when it invests in people rather than hardware. This book earns a place in the apprenticeship series by being a fable for our times, told entirely through worked examples.</description>
    </item>
    <item>
      <title>Chapter 3. Apprenticeship Transmission</title>
      <link>https://ewbarnard.com/en/nuclear-stewardship/ch-03</link>
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      <pubDate>Tue, 18 Aug 2026 00:00:00 +0000</pubDate>
      <description>Soviet tradition describes a methodology that matches internal Cray Research
practice. Soviet psychologist Dr. Piotr Galperin described the conditions and
stages for formation of thinking, that is, how to acquire expertise in a field
rather than facts and other knowledge.</description>
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    <item>
      <title>Chapter 4. Teaching and Creating Mastery</title>
      <link>https://ewbarnard.com/en/nuclear-stewardship/ch-04</link>
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      <pubDate>Tue, 18 Aug 2026 00:00:00 +0000</pubDate>
      <description>Separate concept from implementation. Extract the timeless invariants. Demonstrate
and teach them. Model your thought process out loud for your students, thus transferring
your expertise rather than sharing knowledge.</description>
    </item>
    <item>
      <title>Chapter 5. Transcendent Patterns: Teaching the Process of High-Tech Mastery in Student-Accessible Fashion</title>
      <link>https://ewbarnard.com/en/nuclear-stewardship/ch-05</link>
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      <pubDate>Tue, 18 Aug 2026 00:00:00 +0000</pubDate>
      <description>This chapter teaches the skill of identifying the timeless patterns and skills,
the invariants. Spotting a pattern in the wild requires deliberate practice.</description>
    </item>
    <item>
      <title>Chapter 6. If You Want More</title>
      <link>https://ewbarnard.com/en/nuclear-stewardship/ch-06</link>
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      <pubDate>Tue, 18 Aug 2026 00:00:00 +0000</pubDate>
      <description>At this point you will have successfully shifted your thinking.
This chapter completes the first cycle. You will
not have mastered anything by merely reading about it, but you
will now have names for skills you already use. By the end of
this chapter, you will know whether or not you care to invest
time and effort into the two larger books. This book teaches
the teaching method; the two larger books use this method to
teach the tradecraft.</description>
    </item>
    <item>
      <title>Appendix A. Analytical Machine Employment (1952)</title>
      <link>https://ewbarnard.com/en/nuclear-stewardship/app-a</link>
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      <pubDate>Tue, 18 Aug 2026 00:00:00 +0000</pubDate>
      <description>We currently (in 2026) use AI as a labor-saver. We should be using AI to solve previously
unsolvable problems. The NSA addressed this same issue in 1952.</description>
    </item>
    <item>
      <title>Appendix B. Cryptanalytic Machines in NSA (May 1953)</title>
      <link>https://ewbarnard.com/en/nuclear-stewardship/app-b</link>
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      <pubDate>Tue, 18 Aug 2026 00:00:00 +0000</pubDate>
      <description>This chapter describes the Top Secret machines according to their potentiality.</description>
    </item>
    <item>
      <title>Appendix C. HPC Tradecraft Road Map</title>
      <link>https://ewbarnard.com/en/nuclear-stewardship/app-c</link>
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      <pubDate>Tue, 18 Aug 2026 00:00:00 +0000</pubDate>
      <description>This is the road map to teaching High-Performance Computing tradecraft as
practiced within Cray Research.</description>
    </item>
    <item>
      <title>The AI Coverup: Have We Been Hallucinating?</title>
      <link>https://ewbarnard.com/en/books/ai-coverup</link>
      <guid isPermaLink="true">https://ewbarnard.com/en/books/ai-coverup</guid>
      <pubDate>Mon, 17 Aug 2026 00:00:00 +0000</pubDate>
      <description>Claude Opus 4.7 fails on this book&apos;s seven-word title. The industry calls this hallucination. It isn&apos;t. AI tools are probabilistic systems sitting on top of constraints that everyday abstractions cover up, and the engineering tradition that knows how to work at that frontier traces back through Cray Research to the Bletchley Park codebreakers. This is Book 1 of a three-book written apprenticeship in world-class computing tradecraft.</description>
    </item>
    <item>
      <title>Chapter 1. Incorrect By Design</title>
      <link>https://ewbarnard.com/en/nuclear-stewardship/ch-01</link>
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      <pubDate>Mon, 17 Aug 2026 00:00:00 +0000</pubDate>
      <description>&quot;Hallucination&quot; is an unfortunate and misleading term for Artificial Intelligence.
It obscures the fact that most people think about AI incorrectly. AI is not
deterministic like a spreadsheet or word processor.
It chooses the &quot;most probably correct&quot; response with no concept of &quot;actually correct.&quot;
We need to look past the surface to understand the structure.</description>
    </item>
    <item>
      <title>Chapter 2. When Performance is Everything</title>
      <link>https://ewbarnard.com/en/nuclear-stewardship/ch-02</link>
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      <pubDate>Mon, 17 Aug 2026 00:00:00 +0000</pubDate>
      <description>My role is to transmit our tradecraft as practiced within Cray Research. We
accomplished, repeatedly, what nobody else on the planet accomplished. I have
written down how we did it, as an apprenticeship. Apprenticeships are not easy.</description>
    </item>
    <item>
      <title>Nobody but Us: A History of Cray Research&apos;s Software and the Building of the World&apos;s Fastest Supercomputer</title>
      <link>https://ewbarnard.com/en/courses/nobus</link>
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      <pubDate>Mon, 01 Jun 2026 00:00:00 +0000</pubDate>
      <description>We build the world&apos;s fastest computers. Period. That was our unofficial Cray Research motto, and the tradecraft behind it was never written down. It is Top Secret in origin and tacit by transmission, passed person to person from the Bletchley Park codebreakers through ERA and CDC to Cray. Frontier-class AI is now hitting the same constraint Cray Research lived inside for decades: you cannot spin up more hardware when you are already sitting on the largest system available. Volume 2 is the history, the patterns, and our way of thinking.</description>
    </item>
    <item>
      <title>Nobody but Us: A History of Cray Research&apos;s Software and the Building of the World&apos;s Fastest Supercomputer</title>
      <link>https://ewbarnard.com/en/books/nobus</link>
      <guid isPermaLink="true">https://ewbarnard.com/en/books/nobus</guid>
      <pubDate>Mon, 01 Jun 2026 00:00:00 +0000</pubDate>
      <description>We build the world&apos;s fastest computers. Period. That was our unofficial Cray Research motto, and the tradecraft behind it was never written down. It is Top Secret in origin and tacit by transmission, passed person to person from the Bletchley Park codebreakers through ERA and CDC to Cray. Frontier-class AI is now hitting the same constraint Cray Research lived inside for decades: you cannot spin up more hardware when you are already sitting on the largest system available. Volume 2 is the history, the patterns, and our way of thinking.</description>
    </item>
    <item>
      <title>The AI Coverup: Have We Been Hallucinating?</title>
      <link>https://ewbarnard.com/en/courses/ai-coverup</link>
      <guid isPermaLink="true">https://ewbarnard.com/en/courses/ai-coverup</guid>
      <pubDate>Sun, 31 May 2026 00:00:00 +0000</pubDate>
      <description>Claude Opus 4.7 fails on this course&apos;s seven-word title. The industry calls this hallucination. It isn&apos;t. AI tools are probabilistic systems sitting on top of constraints that everyday abstractions cover up, and the engineering tradition that knows how to work at that frontier traces back through Cray Research to the Bletchley Park codebreakers. This is Course 1 of a three-course written apprenticeship in world-class computing tradecraft.</description>
    </item>
    <item>
      <title>The Wizard&apos;s Lens: Learn to Think Like AI</title>
      <link>https://ewbarnard.com/en/courses/wizard-lens</link>
      <guid isPermaLink="true">https://ewbarnard.com/en/courses/wizard-lens</guid>
      <pubDate>Sun, 31 May 2026 00:00:00 +0000</pubDate>
      <description>I use &quot;nerd-sniping AI&quot; as diagnostic signal, what the industry calls &quot;hallucinating.&quot; That name hides the design: AI is probabilistic, generating what is most likely to be correct without knowing whether it actually is. The Wizard&apos;s Lens is our close-observation tradecraft that aligns with how AI works by design, developed through deliberate practice, with AI itself as the playground. Volume 3 of the HPC Tradecraft Apprenticeship.</description>
    </item>
    <item>
      <title>The Wizard&apos;s Lens: Learn to Think Like AI</title>
      <link>https://ewbarnard.com/en/books/wizard-lens</link>
      <guid isPermaLink="true">https://ewbarnard.com/en/books/wizard-lens</guid>
      <pubDate>Sun, 31 May 2026 00:00:00 +0000</pubDate>
      <description>I use &quot;nerd-sniping AI&quot; as diagnostic signal, what the industry calls &quot;hallucinating.&quot; That name hides the design: AI is probabilistic, generating what is most likely to be correct without knowing whether it actually is. The Wizard&apos;s Lens is our close-observation tradecraft that aligns with how AI works by design, developed through deliberate practice, with AI itself as the playground. Volume 3 of the HPC Tradecraft Apprenticeship.</description>
    </item>
    <item>
      <title>The Toothless ACM Code of Ethics</title>
      <link>https://ewbarnard.com/en/unexpected-histories/toothless-acm</link>
      <guid isPermaLink="true">https://ewbarnard.com/en/unexpected-histories/toothless-acm</guid>
      <pubDate>Sun, 31 May 2026 00:00:00 +0000</pubDate>
      <description>The railroad handbooks are written in blood. Every rule exists because someone died. Railroad accidents would seem completely unrelated to modern software development, but our software is quickly reaching the same point. People can die due to problematic software.

Contributing to this problem is the fact that we have no code of ethics with teeth. We&apos;ll see how this came to pass, through the Harvard Business School, and how it disproportionately affects women and persons of color. This power imbalance won&apos;t right itself; it likely requires an outside force such as antitrust remediation.</description>
    </item>
    <item>
      <title>What Can the NSA Teach Us About Debugging?</title>
      <link>https://ewbarnard.com/en/tradecraft-skills/nsa-debugging</link>
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      <pubDate>Sun, 31 May 2026 00:00:00 +0000</pubDate>
      <description>William F. Friedman wrote training materials teaching would-be cryptographers how to break encrypted messages, revealing a powerful cross-domain synthesis opportunity for modern software developers. This chapter explores how approaches developed for one highly specialized domain (cryptanalysis) offer profound insights when applied to an apparently unrelated field (software debugging).</description>
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