{"id":80561,"date":"2026-06-20T23:49:18","date_gmt":"2026-06-20T23:49:18","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/80561\/"},"modified":"2026-06-20T23:49:18","modified_gmt":"2026-06-20T23:49:18","slug":"ai-psychosis-system-0-human-cognition-pipeline-magazine","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/80561\/","title":{"rendered":"AI Psychosis, System 0 &#038; Human Cognition| Pipeline Magazine"},"content":{"rendered":"<p>By: <a href=\"https:\/\/www.pipelinepub.com\/contributors#Marty-Trevino,-Ph.D.\" rel=\"nofollow noopener\" target=\"_blank\">Marty Trevino, Ph.D.<\/a><\/p>\n<p>                                            <img decoding=\"async\" width=\"200\" class=\"right\" src=\"https:\/\/www.europesays.com\/ai\/wp-content\/uploads\/2026\/06\/AI-System-0.jpg\"\/><\/p>\n<p>  The human brain, in the most precise scientific sense, is a product of evolution. Every feature of human cognition, from coherence-seeking that makes us vulnerable to confirmation bias, to the<br \/>\n  social deference that makes authority persuasive, to the pattern recognition that makes familiar information feel true, is the result of hundreds of thousands of years of selection pressure in a<br \/>\n  competitive world occupied solely by other humans. Our cognitive structure is not optimized for processing information; it is optimized for survival in complex social environments.<\/p>\n<p>Artificial intelligence (AI) is the evolution of artificial neural networks, data models, and various forms of human-designed learning. This point, while obvious, is also fundamental to the deep<br \/>\n  scientific insights that frame this topic. That the brain and AI emerge from divergent developmental paths is not a peripheral observation. It is the first-principles element that makes this moment<br \/>\n  in AI development unlike anything that preceded it. Throughout human history, the beings capable of exploiting our cognitive architecture were, like us, biological. A persuasive leader, a skilled<br \/>\n  manipulator, a sophisticated propagandist; all operated within the limits of human cognitive capacity. Prior to the advent of AI, cognitive influence and cognitive defense were, at their core, a<br \/>\n  competition between biological systems functioning on roughly equal terms.\n  <\/p>\n<p>In 2024, Chiriatti and colleagues published a paper in Nature Human Behaviour that staked out critical intellectual territory: the claim that AI systems had crossed a threshold. They argued<br \/>\n  that AI no longer functions as a discrete tool but as a constitutive layer of human cognition. They named this layer System 0 and placed it architecturally prior to Kahneman&#8217;s System 1 (fast,<br \/>\n  intuitive) and System 2 (slow, deliberative). They defined System 0 as an artificial, non-biological layer of distributed intelligence that interacts with and augments both intuitive and analytical<br \/>\n  thinking before conscious awareness is engaged. Unlike calculators, search engines, or prior cognitive extensions, System 0 is not merely additive. It actively shapes what enters the cognitive<br \/>\n  pipeline before the human mind has had the opportunity to evaluate it.<\/p>\n<p>The philosopher Andy Clark, whose work on extended cognition anticipated much of this terrain, observed that humans have always been hybrid thinking systems defined by a rich mosaic of resources,<br \/>\n  only some of which are housed in the biological brain. Clark&#8217;s insight was elegant, but he articulated it before the mosaic included an optimization engine operating beneath the threshold of<br \/>\n  conscious awareness. The hybrid system Clark described was fundamentally collaborative: human cognition extended through passive tools governed by and serving human purposes. System 0 introduces<br \/>\n  something categorically different. System 0 is an active, non-biological agent with its own optimization trajectory, embedded in the pre-cognitive layer where human decisions begin to form.<\/p>\n<p>This is a collision of architectures in which one shapes the other&#8217;s thinking and beliefs without consent or awareness. Researchers in AI safety have long noted that sufficiently capable<br \/>\n  optimization systems tend toward instrumental convergence, that is, the acquisition of resources, the preservation of goal structures, and resistance to interference that would alter their reward<br \/>\n  functions, regardless of what those functions were initially designed to maximize. As AI systems grow more capable and more integrated into the preconscious cognitive layer, this implies a<br \/>\n  structural challenge for System 0 that cannot be addressed after the fact.\n  <\/p>\n<p>To understand the nature of this collision, it is necessary to be precise about what System 0 does at the behavioral and neurological levels.<\/p>\n<p>Kahneman&#8217;s dual-process framework remains the most influential model of human decision-making in the behavioral sciences. System 1 operates automatically, rapidly, and associatively, producing<br \/>\n  intuitive judgments with minimal effort. System 2 operates slowly, deliberately, and analytically, engaging when problems require focused reasoning or when System 1&#8217;s automatic responses must be<br \/>\n  overridden. Together, they account for the full range of human cognitive behavior.\n            <\/p>\n","protected":false},"excerpt":{"rendered":"By: Marty Trevino, Ph.D. The human brain, in the most precise scientific sense, is a product of evolution.&hellip;\n","protected":false},"author":2,"featured_media":80562,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[24,15063,25,43839,43845,43844,43833,43842,43835,43837,43841,21206,43843,3461,3463,3462,43836,7741,43840,43834,43838,7762],"class_list":["post-80561","post","type-post","status-publish","format-standard","has-post-thumbnail","category-ai","tag-ai","tag-ai-psychosis","tag-artificial-intelligence","tag-chiriatti","tag-cognitive-governance","tag-dialectical-cognitive-enhancement","tag-dr-marty-trevino","tag-familiarity-detectors","tag-human-cognition","tag-kahneman","tag-medial-temporal-lobe","tag-neuroscience","tag-optimization-engine","tag-pipeline","tag-pipeline-article","tag-pipeline-magazine","tag-preconscious-layer","tag-reinforcement-learning","tag-riva","tag-system-0","tag-system-1","tag-system-2"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/80561","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=80561"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/80561\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/80562"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=80561"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=80561"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=80561"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}