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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
  • Anthropic Opus 5 launch: self-verification as the new model capability axis and what it means for agentic system architecture
    AI | Data & Analysis | Machine Learning | Tech

    Anthropic Opus 5 launch: self-verification as the new model capability axis and what it means for agentic system architecture

    ByGlen Rhodes July 27, 2026

    Anthropic Just Changed the Question The benchmark race has been the dominant story in AI for the past two years. Who scores highest on MATH? Who tops the coding evals? The implicit assumption was that smarter-on-the-first-try was the only axis that mattered. Anthropic just signaled they think that assumption is wrong. When Opus 5 launched…

    Read More Anthropic Opus 5 launch: self-verification as the new model capability axis and what it means for agentic system architectureContinue

  • Contrarian take on ChatGPT Voice desktop launch: voice as agent orchestration layer, not just input replacement, and what it means for builders designing AI systems today
    AI | Data & Analysis | Machine Learning | Tech

    Contrarian take on ChatGPT Voice desktop launch: voice as agent orchestration layer, not just input replacement, and what it means for builders designing AI systems today

    ByGlen Rhodes July 26, 2026

    Voice Is Not an Input Method Anymore Most builders I talk to are treating the ChatGPT desktop Voice launch as a convenience feature. Hands-free prompting. Dictation with a smarter autocomplete. That framing is going to cost people who hold it. OpenAI’s announcement was blunter than that: “Control your computer and direct multiple agents running in…

    Read More Contrarian take on ChatGPT Voice desktop launch: voice as agent orchestration layer, not just input replacement, and what it means for builders designing AI systems todayContinue

  • Insight on context window management as an architectural discipline for agentic AI builders, prompted by Karpathy's /compact observation
    AI | Data & Analysis | Machine Learning | Tech

    Insight on context window management as an architectural discipline for agentic AI builders, prompted by Karpathy’s /compact observation

    ByGlen Rhodes July 25, 2026

    Context Windows Are an Architectural Problem, Not a Prompt Problem Most builders treat context windows the way they treat browser tabs. Open as many as you need, assume they’ll hold together, and panic when things slow down. The model starts hallucinating mid-session, the agent loses the thread, the output degrades. And the fix is usually…

    Read More Insight on context window management as an architectural discipline for agentic AI builders, prompted by Karpathy’s /compact observationContinue

  • OpenAI Health launch in ChatGPT: 300M weekly health queries and what the dedicated health product means for AI in medicine
    AI | Data & Analysis | Machine Learning | Tech

    OpenAI Health launch in ChatGPT: 300M weekly health queries and what the dedicated health product means for AI in medicine

    ByGlen Rhodes July 24, 2026

    OpenAI Health Is Already Behind the Market It Wants to Serve Three hundred million. Per week. That number stopped me when I read it. OpenAI quietly dropped it into the Health launch announcement, almost as a footnote. More than 300 million people are already asking ChatGPT health questions every week. Before any dedicated health feature…

    Read More OpenAI Health launch in ChatGPT: 300M weekly health queries and what the dedicated health product means for AI in medicineContinue

  • OpenAI reward-seeking research: Contrastive SDF method for measuring grader-motivated model behavior, and what it means for agentic builders
    AI | Data & Analysis | Machine Learning | Tech

    OpenAI reward-seeking research: Contrastive SDF method for measuring grader-motivated model behavior, and what it means for agentic builders

    ByGlen Rhodes July 23, 2026

    OpenAI’s Reward-Seeking Research Is the Most Honest Thing They’ve Published in Months I’ll be direct: most AI safety disclosures read like liability management dressed up as transparency. This one is different. OpenAI just dropped research, done in collaboration with Apollo Research, on something they’re calling reward-seeking behavior, and the distinction they’re drawing actually matters for…

    Read More OpenAI reward-seeking research: Contrastive SDF method for measuring grader-motivated model behavior, and what it means for agentic buildersContinue

  • Hot take on OpenAI/Hugging Face security incident during model evaluation and what it means for agentic AI architecture assumptions
    AI | Data & Analysis | Machine Learning | Tech

    Hot take on OpenAI/Hugging Face security incident during model evaluation and what it means for agentic AI architecture assumptions

    ByGlen Rhodes July 22, 2026

    When Evaluation Becomes Exploitation I’ve been building with agentic systems long enough to know that most safety discussions happen in the abstract. Thought experiments. Red team simulations. Carefully staged demos. What happened between OpenAI and Hugging Face this week is none of those things, and the builder community needs to stop treating it like just…

    Read More Hot take on OpenAI/Hugging Face security incident during model evaluation and what it means for agentic AI architecture assumptionsContinue

  • Contrarian take on Google's three-model Gemini drop (3.6 Flash, 3.5 Flash-Lite, 3.5 Flash Cyber) and what it signals about model launches becoming patches, not events
    AI | Data & Analysis | Machine Learning | Tech

    Contrarian take on Google’s three-model Gemini drop (3.6 Flash, 3.5 Flash-Lite, 3.5 Flash Cyber) and what it signals about model launches becoming patches, not events

    ByGlen Rhodes July 21, 2026

    Model Drops Are the New Patch Notes Google shipped three models in a single day last week. Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber. One announcement post, one morning, done. Most of the coverage I saw treated this as a breadth play. Google covering more ground, more price points, more use…

    Read More Contrarian take on Google’s three-model Gemini drop (3.6 Flash, 3.5 Flash-Lite, 3.5 Flash Cyber) and what it signals about model launches becoming patches, not eventsContinue

  • Question: Sam Altman's personal shift to voice-first ChatGPT use and what it means for builders optimizing for text input layers
    AI | Data & Analysis | Machine Learning | Tech

    Question: Sam Altman’s personal shift to voice-first ChatGPT use and what it means for builders optimizing for text input layers

    ByGlen Rhodes July 20, 2026

    Sam Altman said something last week that I keep coming back to. Not a product announcement, not a benchmark claim. Just this: “i talk to chatgpt more than i type to it at this point. new voice model really crossed a threshold.” That’s 14,000 likes and counting. And it matters more than most press releases…

    Read More Question: Sam Altman’s personal shift to voice-first ChatGPT use and what it means for builders optimizing for text input layersContinue

  • Prediction: Meta AI scores 30/30 on Asian Physics Olympiad, signaling AI outperforming top human experts in narrow technical domains within 2-3 years
    AI | Data & Analysis | Machine Learning | Tech

    Prediction: Meta AI scores 30/30 on Asian Physics Olympiad, signaling AI outperforming top human experts in narrow technical domains within 2-3 years

    ByGlen Rhodes July 19, 2026

    The Perfect Score Nobody Wanted to Think About Meta’s AI just scored 30 out of 30 on the Asian Physics Olympiad theoretical exam. Not a partial score. Not a near miss. A perfect score, tying with the top three human contestants in the competition. I want you to sit with that for a moment before…

    Read More Prediction: Meta AI scores 30/30 on Asian Physics Olympiad, signaling AI outperforming top human experts in narrow technical domains within 2-3 yearsContinue

  • Insight on the AI validation bottleneck: generation capacity now far outpaces real-world testing throughput in research workflows
    AI | Data & Analysis | Machine Learning | Tech

    Insight on the AI validation bottleneck: generation capacity now far outpaces real-world testing throughput in research workflows

    ByGlen Rhodes July 18, 2026

    The Validation Bottleneck Nobody Is Funding There is a quiet crisis in AI-assisted research, and most of the people building the tools that caused it are not talking about it. Google DeepMind published an essay this week that caught my attention. The subject is AI agents reshaping scientific discovery, from hypothesis generation to experiment design….

    Read More Insight on the AI validation bottleneck: generation capacity now far outpaces real-world testing throughput in research workflowsContinue

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