『Recompiled』のカバーアート

Recompiled

Recompiled

著者: Abi Lovelace and Ariel Magyar
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Welcome to Recompiled - A podcast where we break down complex topics impacting software engineering and recompile them with diverse perspectives and a touch of humor.Abi Lovelace and Ariel Magyar
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  • Tackling Coding Interviews
    2026/06/07

    Coding interviews are weird. We’re here to learn the patterns, expose the nonsense, and hopefully get jobs without sacrificing our sanity.

    Join Abi and Ariel as we work through interview questions, share tips and tricks, talk about the tech industry, and share our interview horror stories.

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    59 分
  • I read the 84-page Claude Constitution so you don’t have to
    2026/05/29

    (but you probably should anyway). Abi and Ariel continue their Anthropic interrogation with a critical analysis of the Claude Constitution. Is this document protecting against harmful AI or encouraging it? We discuss the advantages and dangers of training AI chatbots to act like close personal friends. We also explore what we owe our community in terms of helpfulness and emotional support.


    References:

    https://www.anthropic.com/constitution

    https://www.anthropic.com/news/claude-new-constitution

    https://reddit.com/r/claudeexplorers

    https://youtu.be/VRjgNgJms3Q?si=N_XenlOu5kRPgTba

    https://en.wikipedia.org/wiki/Allegory_of_the_cave


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    56 分
  • Anthropic's attempt at ethical AI and how Claude is built
    2026/05/21

    If humanity can’t agree on a code of ethics, can we really expect AI to behave responsibly? Abi and Ariel discuss Anthropic’s mission of safe AI development and the negative impacts caused by harmful AI. We also examine how Anthropic is using Constitutional AI, Reinforcement Learning From AI Feedback (RLAIF), and scale supervision to reduce harmfulness while maintaining helpfulness in its generative AI models.


    We strongly believe that as AI use becomes more prominent, it is our responsibility as engineers to learn about how the models generating our code are developed so that we can better understand risks when creating software.


    References:

    ⁠https://arxiv.org/pdf/2212.08073⁠

    ⁠https://www.anthropic.com/research⁠

    ⁠https://github.com/anthropics/ConstitutionalHarmlessnessPaper⁠

    ⁠https://www.reuters.com/technology/anthropic-weighs-fundraising-near-1-trillion-valuation-ft-reports-2026-05-08/⁠

    ⁠https://www.documentcloud.org/documents/27777984-nbc-news-march-2026-poll-03-08-2024-release-final/⁠

    ⁠https://techcrunch.com/2023/05/09/anthropic-thinks-constitutional-ai-is-the-best-way-to-train-models/⁠

    ⁠https://blog.udemy.com/anthropic-vs-openai/⁠

    ⁠https://suozzi.house.gov/media/in-the-news/groks-antisemitic-rants-result-unintended-update-company-says-letter-lawmakers⁠

    ⁠https://www.cnn.com/2026/01/07/business/character-ai-google-settle-teen-suicide-lawsuit⁠


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    51 分
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