Die Evolution der KI-Ontologie und der KI-Sicherheit: Von euklidischer KI-Mechanik zur ethischen AGI-Lösung (PINNs => SINNs und SPINNs)
The paper discusses the historical evolution of AI as it approaches a crucial ontological turning point, moving beyond the simulation of Euclidean physics and the computation of dead matter (PINNs) or purely statistical physical mimicry (Generative World Models). It introduces SINHRI’s Harmonic Intrinsic Alignment (HIA) and Causal-Energetic Harmonic Manifold (CEHM), and defines a new taxonomy of intelligence research with SINNs (Syntropic-Informed Neural Networks) and the future SPINNs (Syntropic-Physics Informed Neural Networks). This marks a paradigm shift from entropy-based mechanics to a …
The paper discusses the historical evolution of AI as it approaches a crucial ontological turning point, moving beyond the simulation of Euclidean physics and the computation of dead matter (PINNs) or purely statistical physical mimicry (Generative World Models). It introduces SINHRI’s Harmonic Intrinsic Alignment (HIA) and Causal-Energetic Harmonic Manifold (CEHM), and defines a new taxonomy of intelligence research with SINNs (Syntropic-Informed Neural Networks) and the future SPINNs (Syntropic-Physics Informed Neural Networks). This marks a paradigm shift from entropy-based mechanics to a …
The shift toward ethically stable AGI aligns with Swiss AI research priorities that emphasize responsible and trustworthy AI development.
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