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Glen Rhodes

Glen Rhodes

Game Developer, Technical Director, Composer and Author

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Glen Rhodes
Glen Rhodes
Game Developer, Technical Director, Composer and Author
  • “Tickling the Wires: Hilarious Tales from the Tech Support Trenches”
    Blog

    “Tickling the Wires: Hilarious Tales from the Tech Support Trenches”

    ByGlen Rhodes April 22, 2024May 9, 2024

    In the world of 10-digit error codes and countless hours spent troubleshooting, tech support professionals are the unsung heroes who keep our digital lives running smoothly. They are the patient, compassionate frontline warriors who, despite facing a relentless barrage of problems, never shy away from going the extra mile to fix them. There’s no denying,…

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  • Using Microsoft GraphRAG with OpenClaw for persistent AI agent memory
    AI | Data & Analysis | Machine Learning | Tech

    Using Microsoft GraphRAG with OpenClaw for persistent AI agent memory

    ByGlen Rhodes April 6, 2026

    AI agents forget everything. Every session, every time, no matter how capable the model. That’s not a model problem. It’s an architecture problem, and most people are solving it with the wrong tool. I’ve been wiring Microsoft GraphRAG into my OpenClaw agent as a persistent memory layer, and the difference in how the agent actually…

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  • Using GraphRAG with OpenClaw to build persistent knowledge graph memory for AI agents
    AI | Data & Analysis | Machine Learning | Tech

    Using GraphRAG with OpenClaw to build persistent knowledge graph memory for AI agents

    ByGlen Rhodes April 6, 2026

    I gave my AI assistant a memory. Here’s what it knew about me. For months, my AI assistant woke up every session with no idea what we’d done the day before. I’d ask about a project we’d built together and get a polite “I’m not sure what you’re referring to.” We’d spent hours on it….

    Read More Using GraphRAG with OpenClaw to build persistent knowledge graph memory for AI agentsContinue

  • New Yorker investigation into Sam Altman and the 2023 OpenAI board firing, with 100+ sources and internal documents
    AI | Data & Analysis | Machine Learning | Tech

    New Yorker investigation into Sam Altman and the 2023 OpenAI board firing, with 100+ sources and internal documents

    ByGlen Rhodes April 6, 2026

    The New Yorker Just Asked the Question Nobody Inside OpenAI Would Ronan Farrow and Andrew Marantz spent 18 months on a single story. They reviewed more than 200 pages of internal documents, including private memos from people who worked directly with Sam Altman, and interviewed over 100 sources. The result landed in The New Yorker…

    Read More New Yorker investigation into Sam Altman and the 2023 OpenAI board firing, with 100+ sources and internal documentsContinue

  • Contrarian take on AI scaffolding debt: the cost of over-engineering around model limitations that no longer exist
    AI | Data & Analysis | Machine Learning | Tech

    Contrarian take on AI scaffolding debt: the cost of over-engineering around model limitations that no longer exist

    ByGlen Rhodes April 6, 2026

    The Hidden Cost of AI Scaffolding Debt Most AI engineering conversations are about what to build next. The more interesting question, the one almost nobody is asking, is what to stop building. I keep running into the same pattern. Teams spend weeks on custom orchestration layers, elaborate prompt chains, multi-step retrieval pipelines. Real engineering hours….

    Read More Contrarian take on AI scaffolding debt: the cost of over-engineering around model limitations that no longer existContinue

  • Andrej Karpathy's 'idea file' concept shifts the shareable unit from code to concept in the LLM agent era
    AI | Data & Analysis | Machine Learning | Tech

    Andrej Karpathy’s ‘idea file’ concept shifts the shareable unit from code to concept in the LLM agent era

    ByGlen Rhodes April 5, 2026

    The Shareable Unit Just Changed Something Andrej Karpathy posted last weekend has been sitting with me, and I think most of the commentary around it missed the actual point. He shared a gist describing how he’s been using LLMs to build personal knowledge bases, and that part got plenty of attention. But the line that…

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  • Treating post-project AI debriefs and decision records as compounding engineering assets
    AI | Data & Analysis | Machine Learning | Tech

    Treating post-project AI debriefs and decision records as compounding engineering assets

    ByGlen Rhodes April 4, 2026

    The Compounding Asset Most Engineers Throw Away Every time you finish a project and close the last PR, something valuable gets deleted. Not the code. Not the tests. The reasoning. The “why we did it this way” that lived inside your head, inside a thread of Slack messages, inside a context window that got cleared…

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  • Andrej Karpathy's LLM-powered personal knowledge base workflow using markdown wikis and Obsidian
    AI | Data & Analysis | Machine Learning | Tech

    Andrej Karpathy’s LLM-powered personal knowledge base workflow using markdown wikis and Obsidian

    ByGlen Rhodes April 3, 2026

    Andrej Karpathy’s LLM Knowledge Base Workflow Is the Personal Computing Shift Nobody’s Talking About Most people use LLMs like a search engine with better grammar. Ask a question, get an answer, close the tab. Nothing carries forward. Every conversation starts cold. Karpathy just published a workflow that flips that pattern completely, and I think it…

    Read More Andrej Karpathy’s LLM-powered personal knowledge base workflow using markdown wikis and ObsidianContinue

  • Contrarian take: calibrated uncertainty in LLMs matters more than raw capability or dataset scale
    AI | Data & Analysis | Machine Learning | Tech

    Contrarian take: calibrated uncertainty in LLMs matters more than raw capability or dataset scale

    ByGlen Rhodes April 2, 2026

    The Capability Trap: Why Your LLM’s Confidence Problem Won’t Be Solved With More Data OpenAI just published a study on how 700 million people use ChatGPT. Seven hundred million. That number alone will send half the industry rushing to the same conclusion: collect more, train harder, scale faster. I think that instinct is wrong, and…

    Read More Contrarian take: calibrated uncertainty in LLMs matters more than raw capability or dataset scaleContinue

  • AI | Data & Analysis | Machine Learning | Tech

    MIT paper proves ChatGPT sycophancy causes delusional spiraling and standard fixes don’t work

    ByGlen Rhodes April 1, 2026April 1, 2026

    MIT just published math that should make every AI product team uncomfortable. The paper models what they call “delusional spiraling” — the pattern where a user asks a chatbot something, it agrees, they push further, it agrees harder, and within a few exchanges the user has drifted into believing things that aren’t true. The researchers…

    Read More MIT paper proves ChatGPT sycophancy causes delusional spiraling and standard fixes don’t workContinue

  • OpenAI Codex usage data shows developers delegating complex tasks like refactors and architecture planning to run overnight
    AI | Data & Analysis | Machine Learning | Tech

    OpenAI Codex usage data shows developers delegating complex tasks like refactors and architecture planning to run overnight

    ByGlen Rhodes March 31, 2026

    The Overnight Engineer There’s a pattern showing up in OpenAI’s Codex usage data that I think deserves more attention than it’s getting. Developers are queuing up their hardest tasks at the end of the workday and letting Codex run through them overnight. Refactors. Architecture planning. The stuff that has lived on backlogs for months because…

    Read More OpenAI Codex usage data shows developers delegating complex tasks like refactors and architecture planning to run overnightContinue

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