The collective crisis of humanity as a path to genuine "superintellect": why the affective reality of humans cannot be reduced to algorithmic and neuromorphic processes

In the era of rapid development of artificial neural networks, the philosophy of J. Simondon offers a radically new perspective on the nature of "superintelligence" (ASI). Unlike popular technocratic concepts such as R. Kurzweil's "singularity," F. Heylighen's "global brain," I.J. Good's "intelligence explosion," or D. Chalmers' "computational functionalism," which reduce "superintelligence" to computational power and algorithmic complexity, Simondon reveals it as an emergent and dynamic result of the mental and collective phases of individuation, namely as a process that always requires affective tension, existential crises, and transformation of the entire "human-machine" ecology. This article is relevant as a response to the deadlock of modern artificial neural networks, which, despite impressive results in recursive self-improvement, remain "operators of metastuctures," devoid of consciousness and creative depth, confined to the framework of the "dynamic scheme" of the technical phase of individuation. The methodological approach of the research is based on the sequential application of four complementary methods: phenomenological analysis, hermeneutic analysis, synergistic approach, and biosocial-semiotic analysis. The proposed methodology allows for a comprehensive approach to this complex process: from individual experience (phenomenology) through understanding and communication (hermeneutics) to the dynamics of systemic transitions (synergetics), with constant consideration of the biosocial and semiotic rootedness of humanity (biosocial-semiotic analysis). The novelty of Simondon's approach lies in the radical rethinking of the path to "superintelligence": not through algorithmic breakthroughs, but through the existential overcoming of the civilizational crisis, where technology becomes not a replacement for humanity, but a new "organ" of its collective intelligence. Analyzing the fundamental limitations of artificial neural networks and promising developments (from AGI to neuromorphic artificial chips), the article argues that true "superintelligence" is only possible as a metamorphosis of the human based on affective depth, rather than as its algorithmic simulation. Contrary to technocratic utopias, Simondon interprets "superintelligence" not as an engineering product, but as an emergent outcome of a global evolutionary turning point – ecological, meaningful, and technological, where humanity, transforming disunity into solidarity, makes a leap into a new transindividual (technosocial) phase of individuation. The main conclusion of the article: without spontaneous affectivity and crisis as the "fuel" of transformation, even the most advanced artificial neural networks will remain "blind" operators of "metastructures."