Model Drift

Preprints revealing inconsistencies, weak fits, or unexplained anomalies in dominant models—early signs of conceptual stress within the current framework.

Predictive Emotional Selfhood in Articial Minds (PESAM): A Unied and Synergistic Variational Framework

Leave a Comment / Model Drift, Research Square /

URL https://assets-eu.researchsquare.com/files/rs-7713015/v1_covered_edbb151e-5647-4e84-9b22-f21605513872.pdf Stage Model Drift Paradigm framing The preprint operates within the paradigm of the Active Inference framework and the Free Energy Principle in computational neuroscience and artificial intelligence. This paradigm posits that intelligent agents perceive, act, and learn by continuously minimizing prediction error (or surprise) about their sensory inputs. The paper specifically addresses the […]

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An Ontology-Based Analysis of Health Disorders Derived from Stress-Evoked Peripheral Immune Responses

Leave a Comment / medRxiv, Model Drift /

URL https://www.medrxiv.org/content/10.1101/2025.09.14.25335729v1.full.pdf Stage Model Drift Paradigm framing The paper operates within the established psychoneuroimmunology paradigm, which posits that chronic stress triggers peripheral immune responses and low-grade inflammation, contributing to the pathogenesis of various diseases. The research addresses the lack of a formal structure for understanding the specific immunological pathways that link stress to a diverse

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Who is Responsible When AI Fails? Mapping Causes, Entities, and Consequences of AI Privacy and Ethical Incidents

Leave a Comment / arXiv, Model Drift /

URL https://arxiv.org/pdf/2504.01029.pdf Stage Model Drift Paradigm framing The dominant paradigm in AI ethics and governance posits that the risks and harms of AI systems can be managed through structured frameworks, principles, and taxonomies that guide policy and practice. This paradigm assumes that by identifying, classifying, and understanding AI failures, practitioners and policymakers can develop effective

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Synthetic mRNA Vaccines and Transcriptomic Dysregulation: Evidence from New-Onset Adverse Events and Cancers Post-Vaccination

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URL https://blog.fdik.org/2025-07/preprints202507_2155_v1.pdf Stage Model Drift Paradigm framing The preprint operates within the dominant paradigm of molecular biology and immunology, specifically focusing on transcriptomics and immune responses related to mRNA vaccines. Highlights This preprint presents findings that challenge certain aspects of the current understanding of mRNA vaccine safety, potentially indicating a model drift. While not proposing

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Who is Responsible When AI Fails? Mapping Causes, Entities, and Consequences of AI Privacy and Ethical Incidents

Leave a Comment / arXiv, Model Drift /

URL https://arxiv.org/pdf/2504.01029.pdf Stage Model Drift Paradigm framing Socio-Technical, Governance, and Human-Computer Interaction Highlights This preprint analyzes real-world incidents related to AI systems through the lens of Thomas Kuhn's paradigm cycle. While it doesn't propose a radical shift in our understanding of AI (a paradigm shift), it does highlight significant discrepancies between existing theoretical frameworks and

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Metal Polluted White Dwarfs with 21 μm IR excesses from JWST/MIRI: Planets or Dust?

Leave a Comment / arXiv, Model Drift, Normal Science /

URL https://arxiv.org/pdf/2506.21224.pdf Stage Normal Science / Model Drift Paradigm framing The current paradigm is that metal pollution in white dwarfs arises from the accretion of planetary debris. This is supported by spectroscopic observations and abundance patterns consistent with rocky material. The paradigm includes theoretical models of tidal disruption events and planetary system evolution post-main sequence.

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Ecosystems as adaptive living circuits

Leave a Comment / arXiv, Model Drift /

URL https://arxiv.org/pdf/2506.22017.pdf Stage Model Drift Paradigm framing The current paradigm focuses on the non-equilibrium nature of biological systems, where the coupling to external energy sources is a fixed parameter. This preprint challenges this assumption by highlighting that energy dissipation is an adaptive, dynamic variable in living systems. Highlights This preprint identifies a limitation in existing

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AI in Universities: The Good, the Bot, and the Ugly Truths

Leave a Comment / Model Drift, Research Square /

URL https://www.researchsquare.com/article/rs-6883202/v1.pdf Stage Model Drift Paradigm framing The paradigm of the preprint revolves around the integration of Artificial Intelligence (AI) in higher education, specifically focusing on its impact on teaching, learning, and administrative functions. This encompasses the shift towards personalized learning, enhanced efficiency, and improved campus management through the use of AI-powered tools. Highlights The

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MARS: Processing-In-Memory Acceleration of Raw Signal Genome Analysis Inside the Storage Subsystem

Leave a Comment / arXiv, Model Drift /

URL https://arxiv.org/pdf/2506.10931.pdf Stage Model Drift Paradigm framing The preprint operates within the established paradigm of genome analysis, which traditionally involves basecalling followed by read mapping. However, it addresses the limitations of this paradigm by proposing in-storage processing of raw signals, representing a departure from the conventional approach of relying on CPU/GPU-based acceleration of individual steps

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Laser Stabilised Ionising Transitions

Leave a Comment / arXiv, Model Drift /

URL https://arxiv.org/pdf/2506.10183.pdf Stage Model Drift Paradigm framing The dominant paradigm is the Fano model of bound-to-continuum transitions and resonant fluorescence. The preprint introduces a drift by demonstrating the emergence of a novel metastable state under resonant pumping. Highlights The preprint operates within the established paradigm of Fano's theory of bound-to-continuum transitions and utilizes resonant fluorescence

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