doing the math for you

gekko

doing the math for you

  • The Desert Becomes the Blueprint: How Transcendence Anticipated the Geography of Modern AI

    The Desert Becomes the Blueprint: How Transcendence Anticipated the Geography of Modern AI

    Nov 7, 2025

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    by

    gekko
    in AIverse

    When Transcendence appeared in 2014, its imagery of a monolithic data center rising out of the desert looked like standard-issue science-fiction symbolism: a technological outpost on the edge of society, a fortress dedicated to something the world wasn’t ready to confront. The film’s visual logic aligned with a long tradition — think of New Mexico…

  • Bridging Context Engineering in AI with Requirements Engineering

    Bridging Context Engineering in AI with Requirements Engineering

    Nov 4, 2025

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    by

    gekko
    in Dev, LLM

    How Emerging AI Research Could Reinvent Context Scenarios in Software Design Hey there, fellow software enthusiasts! If you’re like me, you’ve probably spent countless hours crafting context scenarios to nail down requirements in software development projects. These narrative-driven descriptions of user interactions in specific situations provide a rock-solid foundation for understanding what a system really…

  • OpenAI’s New Muzzle: When “Safety” Means Gatekeeping Knowledge

    OpenAI’s New Muzzle: When “Safety” Means Gatekeeping Knowledge

    Nov 3, 2025

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    by

    gekko
    in AIverse

    On October 29, 2025, OpenAI quietly updated its Usage Policies to further restrict the use of its services in providing tailored medical or legal advice—even in scenarios where the AI’s output could be factually correct and helpful. The company that bragged about its AI passing the USMLE and beating law grads on the bar now…

  • Transformers Are Injective: Why Your LLM Could Remember Everything (But Doesn’t)

    Transformers Are Injective: Why Your LLM Could Remember Everything (But Doesn’t)

    Nov 2, 2025

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    by

    gekko
    in Dev, GPTs

    The authors of “Language Models are Injective and Hence Invertible”, https://arxiv.org/abs/2510.15511, address a foundational question about transformer-based language models: do they lose information in the mapping from an input text sequence to their internal hidden activations? In more formal terms: is the model’s mapping injective (distinct inputs → distinct representations), and therefore potentially invertible (one…

  • Elon Musk’s Vision: Turning Tesla’s Idle Fleet into a Global AI Inference Powerhouse

    Elon Musk’s Vision: Turning Tesla’s Idle Fleet into a Global AI Inference Powerhouse

    Oct 30, 2025

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    by

    gekko
    in AIverse

    In Tesla’s Q3 2025 earnings call on October 22, Elon Musk dropped a bombshell idea that’s flying under the radar amid talks of robotaxis and Optimus robots. Responding to a question about AI forms and xAI’s massive models, Musk mused about “bored” cars: “Actually, one of the things I thought, if we’ve got all these…

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