tag > Culture
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Machine Consciousness?
Every few weeks, some philosopher asks if machines can be conscious — as if that’s the big mystery. Meanwhile, we kill billions of sentient beings a year, turn them into lasagna, and still think awareness lives in a circuit board. The real question isn’t whether AI can wake up, it’s why humans never did. This isn’t philosophy; it’s performance art by a species barely conscious enough to keep its own biosphere alive. Intellectual cargo cult with tenure.
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Schmidhubers warning about elite science fraud in AI are right, but..
Jürgen Schmidhuber’s persistent warnings about how the “elites” in AI play fishy & fraudulent games are both correct & necessary. But their behavior makes sense once you view it through the broader lens of How Power Manages Science and Technology, and how elite power structures not only monitor it, but may also shape, obscure, or re-route its development to serve long-term strategic dominance.
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When in doubt, apply this principle: KISS (Keep It Simple Stupid)
Known as well as Occam's Razor: a problem-solving principle suggesting that when faced with competing explanations, the simplest one with the fewest assumptions is usually the most likely to be correct.
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If you gaze into an abyss...
Wasn't it you who recently, in a moment of clarity, concluded that wading into the deep end of the conspiratorial undercurrent was detrimental to one's spiritual health? That consuming "the news" was a waste of time? And yet here we are again - with a fever. Stay sane my friend and turn it all off and focus on making yourself a better person.
"He who fights with monsters should look to it that he himself does not become a monster. And if you gaze long into an abyss, the abyss also gazes into you." - Friedrich Nietzsche, Beyond Good and Evil (Aphorism 146)
"In conclusion, there is no conclusion. Things will go on as they always have, getting weirder all the time." - Robert Anton Wilson
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Recent developments in Recognition-Primed Decision (RPD)
In 2026, the Recognition-Primed Decision (RPD) model has evolved from a tool for emergency responders into a cross-disciplinary framework for high-stakes decision-making in digital and automated environments. The current evolution focuses on the following key areas:
1. Integration with Artificial Intelligence (AI): As of 2026, RPD is increasingly used to design and evaluate AI systems, moving beyond simple automation to "Human-AI Teaming".
- AI Explainability: Researchers are using RPD to help AI systems explain their "decisions" in ways that align with human mental models, making it easier for human operators to trust or override AI recommendations.
- AIQ (Artificial Intelligence Quotient): Gary Klein and colleagues have developed the AIQ toolkit to help humans better understand and manage the specific AI systems they interact with, applying NDM principles to complex tech stacks.
2. Computational & Probabilistic Models: Advancements in 2025 and 2026 have led to the creation of Probabilistic Memory-Enhanced RPD (PRPD) models.
- Dynamic Information Processing: These newer models, such as those used in mid-air collision avoidance for pilots, can process continuous real-time data automatically without human-defined categories.
- Pattern Maturity: PRPD models show how "prototypes" or mental patterns automatically strengthen as an agent (human or machine) gains more experience.
