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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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  • Amazon's mandatory meeting on AI-caused high-blast-radius production incidents and what it means for engineering teams
    AI | Data & Analysis | Machine Learning | Tech

    Amazon’s mandatory meeting on AI-caused high-blast-radius production incidents and what it means for engineering teams

    ByGlen Rhodes March 11, 2026

    Amazon’s Wake-Up Call Is Everyone’s Wake-Up Call I’ve been watching AI-assisted engineering mistakes compound in slow motion for about two years now. Smaller companies, smaller blast radii, easier to sweep under the rug. But when Amazon, one of the most sophisticated engineering organizations on the planet, has to call a mandatory company-wide meeting about AI…

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  • Microsoft open-sources BitNet, enabling 100B parameter LLM inference on a single CPU using 1.58-bit ternary weights
    AI | Data & Analysis | Machine Learning | Tech

    Microsoft open-sources BitNet, enabling 100B parameter LLM inference on a single CPU using 1.58-bit ternary weights

    ByGlen Rhodes March 11, 2026

    The End of the GPU Tax I’ve spent years watching the AI hardware conversation circle the same drain. More VRAM. Bigger clusters. Faster interconnects. The implicit assumption baked into every serious LLM deployment is that you need specialized, expensive hardware just to run inference. Microsoft just kicked that assumption in the teeth. BitNet is an…

    Read More Microsoft open-sources BitNet, enabling 100B parameter LLM inference on a single CPU using 1.58-bit ternary weightsContinue

  • Microsoft open-sources BitNet, enabling 100B parameter LLM inference on a single CPU using 1.58-bit ternary weights
    AI | Data & Analysis | Machine Learning | Tech

    Microsoft open-sources BitNet, enabling 100B parameter LLM inference on a single CPU using 1.58-bit ternary weights

    ByGlen Rhodes March 11, 2026

    BitNet and the End of the GPU Requirement I’ve been watching quantization research for years. The pattern has always been the same: you shrink the model, you pay for it in accuracy. The tradeoff felt like physics. You want a model that fits in memory? Fine, but expect your benchmarks to slide. Running inference on…

    Read More Microsoft open-sources BitNet, enabling 100B parameter LLM inference on a single CPU using 1.58-bit ternary weightsContinue

  • MatAnyone 2 eliminates the green screen with real-time AI video background removal
    AI | Data & Analysis | Machine Learning | Tech

    MatAnyone 2 eliminates the green screen with real-time AI video background removal

    ByGlen Rhodes March 11, 2026

    The Green Screen Is Dead. MatAnyone 2 Just Buried It. For decades, video production has carried around a piece of infrastructure that exists purely because software wasn’t good enough. The green screen. Entire studios built around it. Entire workflows warped by it. Lighting rigs, fabric panels, spill suppression techniques, trained operators. All of it, just…

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  • AI-generated code velocity mismatch creating high blast radius production incidents, and why review burden should increase not decrease with AI assistance
    AI | Data & Analysis | Machine Learning | Tech

    AI-generated code velocity mismatch creating high blast radius production incidents, and why review burden should increase not decrease with AI assistance

    ByGlen Rhodes March 10, 2026

    The Blast Radius Problem Nobody Wants to Talk About Amazon is holding mandatory meetings. The internal briefing describes a trend of production incidents caused by “Gen-AI assisted changes” with what it calls “high blast radius.” And buried in that same briefing is a phrase that should make every engineering leader sit up straight: “best practices…

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  • AI-generated code velocity mismatch creating high blast radius production incidents, and why review burden should increase not decrease with AI assistance
    AI | Data & Analysis | Machine Learning | Tech

    AI-generated code velocity mismatch creating high blast radius production incidents, and why review burden should increase not decrease with AI assistance

    ByGlen Rhodes March 10, 2026

    The Blast Radius Problem Nobody Wants to Talk About Amazon is holding mandatory internal meetings about AI-generated code causing production incidents. The briefing note, surfaced publicly this week, describes a pattern of incidents with “high blast radius” caused by “Gen-AI assisted changes” and includes this sentence: “best practices and safeguards are not yet established.” That…

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  • Anthropic releases 33-page Claude Skills playbook, positioning Claude as a composable AI operating system with repeatable workflow encoding
    AI | Data & Analysis | Machine Learning | Tech

    Anthropic releases 33-page Claude Skills playbook, positioning Claude as a composable AI operating system with repeatable workflow encoding

    ByGlen Rhodes March 10, 2026

    Anthropic Just Told Us What Claude Is Actually For Most people read the release of a 33-page technical playbook and think “documentation update.” I read it and thought: this is a positioning move. Anthropic just told us, in explicit terms, how they want engineers to think about Claude going forward. Not as a chat interface….

    Read More Anthropic releases 33-page Claude Skills playbook, positioning Claude as a composable AI operating system with repeatable workflow encodingContinue

  • Model routing as a deliberate engineering habit: matching task type to model capability instead of defaulting to one model for everything
    AI | Data & Analysis | Machine Learning | Tech

    Model routing as a deliberate engineering habit: matching task type to model capability instead of defaulting to one model for everything

    ByGlen Rhodes March 10, 2026

    Model Routing Is an Engineering Decision, Not an Afterthought Most engineers pick a model the way they pick a code editor. Once. Then they stop thinking about it. Maybe they upgrade when a new version drops, but the mental model stays the same: one tool, all tasks, forever. I’ve been doing this differently for about…

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  • AI | Data & Analysis | Machine Learning | Tech

    Seedance 2.0: AI Video Quality Just Crossed the Production Threshold

    ByGlen Rhodes March 9, 2026

    ByteDance just dropped Seedance 2.0, and the short films being made with it are genuinely difficult to distinguish from real production footage. That’s the news. Here’s what I actually think. We crossed a threshold somewhere in the last 90 days where AI video stopped being a party trick and started being a production pipeline. The…

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  • Hot take: automated ML experiment loops change the skill profile of researchers, not the need for them, and the real risk is engineers who never learned what questions to ask
    AI | Data & Analysis | Machine Learning | Tech

    Hot take: automated ML experiment loops change the skill profile of researchers, not the need for them, and the real risk is engineers who never learned what questions to ask

    ByGlen Rhodes March 9, 2026

    The Part of ML Research Nobody Talks About Most of the commentary around Andrej Karpathy’s new autoresearch repo is missing the point entirely. The repo, roughly 630 lines of code on a single GPU, runs LLM training in an autonomous loop. The agent picks architectures, tunes hyperparameters, commits code, and iterates again without a human…

    Read More Hot take: automated ML experiment loops change the skill profile of researchers, not the need for them, and the real risk is engineers who never learned what questions to askContinue

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