エピソード

  • Sports!
    2026/08/02

    Abi and Ariel discuss recent sporting events and the software that powers them. Tune in to learn about slow motion capture software, the VAR system in Soccer, and what sports Abi and Ariel have participated in.


    Resources

    https://medium.com/codex/beating-the-books-using-machine-learning-to-make-money-sports-betting-7b5195b405d2

    https://www.ibm.com/think/topics/monte-carlo-simulation

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


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    37 分
  • 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
  • What happens to engineers when AI automates coding?
    2026/05/05

    If coding can be automated, where do software engineers provide value in the workforce? Does software engineering require writing code? In this episode, Abi and Ariel talk about the future of software engineering and the “expectation vs. reality” of the demand to integrate AI. We also have a tangent about the value of Fruit Love Island. Transitions are hard. Though the day to day of the software engineer will surely change, we share hopes that the innate scarcity of human effort will provide value in the face of automation.


    References: What is “Slop” (and why it gives me hope) https://youtu.be/dT5IJExTUR4?si=LCxpvmH1D0n47pws

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    38 分
  • OMSCS - Online Masters of Science in Computer Science at Georgia Tech
    2026/04/28

    Is a masters degree in engineering worth it for everyone? We talk about our experience in the Online Masters of Science in Computer Science (OMSCS) program at Georgia Tech and the flexibility that this online education provides to full-time professionals. Motivation matters when pursuing any degree and we share our "why" for sticking with the program despite the work it tacks on to our busy schedules. We also talk about our upcoming classes and our different reasons for specializing in AI.

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    50 分
  • Ada Lovelace: The First Computer Programmer
    2025/07/20

    Ada Lovelace is well known as the first computer programmer, but is that really true? Learn about Ada from Abi and Ariel in this episode on Ada's life and controversy. Stick around to the end to hear about how Abi got to actually see Ada's letters!


    Resources:

    • https://books.google.co.uk/books?id=qsY-AAAAYAAJ&pg=PA666&redir_esc=y#v=onepage&q&f=false
    • https://commons.wikimedia.org/wiki/File:Diagram_for_the_computation_of_Bernoulli_numbers.jpg
    • https://www.amazon.com/Ada-Life-Legacy-History-Computing/dp/0262691167


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    36 分
  • Abi got Fired :(
    2025/07/13

    Abi was affected by lay-offs and needs to process. Join Abi and Ariel as they discuss what it was like to go through a lay off and what next steps to take if you are ever impacted.


    Resources:

    • https://www.indeed.com/career-advice/career-development/i-got-fired
    • https://builtin.com/articles/survive-being-fired
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    37 分