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Researchers propose 'dark stack' for governing self-optimizing factories

A group of researchers, including Marek Poliks, Roberto Alonso Trillo, Tyler Dunn, Hugh Scott-Douglas, and Jay Springett, have proposed the "dark stack" and the concept of a "superdark factory." This framework outlines principles for building and governing highly automated factories that operate beyond human comprehension and control. The core idea involves an initial setup that enables learning, measures performance rather than identity, uses adversarial evaluation, and establishes a charter for governance, ultimately positioning human architects as strategic players rather than direct controllers. AI

IMPACT Proposes a framework for governing highly autonomous systems, potentially influencing future AI development and control paradigms.

RANK_REASON The item discusses a conceptual framework for future automated systems, presented as a proposal or idea rather than a product release or research breakthrough.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Researchers propose 'dark stack' for governing self-optimizing factories

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3 / 100
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Commentary
The item discusses a conceptual framework for future automated systems, presented as a proposal or idea rather than a product release or research breakthrough.
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other
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    “The future is dark, which is, on the whole, the best thing the future can be, I think”*… Further (and in some ways, contra) to yesterday’s post , Marek Poliks

    “The future is dark, which is, on the whole, the best thing the future can be, I think”*… Further (and in some ways, contra) to yesterday’s post , Marek Poliks , Roberto Alonso Trillo , Tyler Dunn , Hugh Scott-Douglas , and Jay Springett ponder one extrapolation of AI… Imagine th…