A context-sensitive response curve can be well defined yet unidentifiable from its controller's observations, and an identifiable curve may not merit recalibration before a resource-limited task. This paper builds the terrain-contingent gain interface of the Affective Gain Module (AGM) on these distinctions. Version 1'...
Bin Seol· Zenodo (CERN European Organi...· 0 citations
A readable internal state need not be manipulable, and a manipulable state need not improve governance. This paper specifies the affective-state interface of the Affective Gain Module (AGM), separating readout, physical intervention, proposal, admitted action and feedback. Coordinate covariance identifies the transform...
Bin Seol· Zenodo (CERN European Organi...· 0 citations
A load-to-reserve quotient can mark a boundary without determining failure time or an executable rescue. Quotient Critical Geometry (QCG) specifies this reduced interface for the Affective Gain Module (AGM). Conditional reciprocal-drain results give crossing times, approximation error, omitted-drift bounds and a moving...
Bin Seol· Zenodo (CERN European Organi...· 0 citations
Adaptive systems can preserve a reserve yet lose access to a required change. AGM-CL couples response proposals, source-bound residual history, guarded model repair and executed action through a shared resource ledger and fixed task contract. Conditional one-step results separate response, information and affordability...
Bin Seol· Zenodo (CERN European Organi...· 0 citations
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Version 2 proposed that sustained success raises rigidity, suppresses alarms and ends in silent failure. This version tests the links. Beyond Paper E, conditional results specify rigidity accumulation, positive never-alarm probability, closure of a paid recovery route and affordable maintenance. A finite reference, F-M...
Bin Seol· Zenodo (CERN European Organi...· 0 citations
Generative artificial intelligence (GenAI) confronts educational psychology with sharply heterogeneous evidence: meta-analyses report positive average effects on learning alongside prediction intervals spanning harm to benefit, and experiments document gains in some configurations and learning penalties in others. This...
With the diffusion of generative AI, AI emotional companion apps have emerged as a new domain of digital consumption in which users may pay to extend relationship-like experiences. This study examines how loneliness and actual-ideal self-discrepancy are associated with experience-enhancing consumption intention and con...
Pei Yao, Zirong Tian, J. Kim· Frontiers in Public Health· 0 citations
AI is no longer confined to laboratories or private enterprise; it is increasingly embedded within the institutions of public governance. From predictive systems in welfare and justice to large language models shaping policy processes, AI now mediates decisions that affect lives and democratic legitimacy alike. Yet the...
Marc T.J Elliott· Research Portal (Queen's Uni...· 0 citations
The rapid advancement of generative artificial intelligence (GenAI) has created new opportunities and challenges for teachers, leading to a growing body of research on its educational applications. AI has become increasingly integrated into instructional processes, supporting teachers in tasks such as lesson planni...
Oğuz Cincioğlu, Duygu Mutlu-Bayraktar, Tuğba Altan· Frontiers in Education· 0 citations
Evaluation of the perceived usefulness of the framework suggests that a programme-level approach to assessing reflection, which considers moments of reflection as data points in the ongoing development of reflective practice, could support skill development and meaningful reflection in the age of AI.
Carmen Sapsed, Claire Palermo, I. D'Souza et al.· The Clinical Teacher· 0 citations
Military documentation plays a central role in training and operational practice, yet its quality is rarely evaluated from the perspective of actual use. Documents tend to prioritise completeness and regulatory compliance over clarity. This results in materials that are information dense, cognitively demanding, and pro...
Antoni Przeperski, Mateusz Pyśk, Nowak Bartosz et al.· Zenodo (CERN European Organi...· 0 citations
Military documentation plays a central role in training and operational practice, yet its quality is rarely evaluated from the perspective of actual use. Documents tend to prioritise completeness and regulatory compliance over clarity. This results in materials that are information dense, cognitively demanding, and pro...
Antoni Przeperski, Mateusz Pyśk, Nowak Bartosz et al.· Zenodo (CERN European Organi...· 0 citations
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
