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2,526 papers
AI delegation can remove the comparison evidence needed to establish whether automation continues to improve outcomes. This paper develops the counterfactual preservation principle: sustained claims of current comparative benefit require a continuing source of identification whose temporal relevance remains defensible....
AI delegation can remove the comparison evidence needed to establish whether automation continues to improve outcomes. This paper develops the counterfactual preservation principle: sustained claims of current comparative benefit require a continuing source of identification whose temporal relevance remains defensible....
Legal systems can reverse convictions, dismiss charges, and acquit defendants, but public narratives are not designed to reverse with comparable speed or precision. This article develops narrative hysteresis as a theory of reputational path dependence after public accusation. It integrates the continued influence effec...
Legal systems can reverse convictions, dismiss charges, and acquit defendants, but public narratives are not designed to reverse with comparable speed or precision. This article develops narrative hysteresis as a theory of reputational path dependence after public accusation. It integrates the continued influence effec...
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Generative artificial intelligence increasingly mediates not only what institutions decide, but how institutions interpret people. Large language models draft case summaries, student feedback, performance reviews, clinical notes, policy briefs, creative text and administrative explanations. Existing AI governance frame...
This thesis introduces a novel theoretical framework, the Liminal Ontology, to address the enduring philosophical and scientific challenges posed by consciousness, identity, and anomalous experiences. Moving beyond the traditional dualism of mind and matter and the limitations of materialism, the Liminal Ontology posit...
This thesis introduces a novel theoretical framework, the Liminal Ontology, to address the enduring philosophical and scientific challenges posed by consciousness, identity, and anomalous experiences. Moving beyond the traditional dualism of mind and matter and the limitations of materialism, the Liminal Ontology posit...
The COVID-19 pandemic served as a profound stress test for the global scientific enterprise, conducted under unprecedented public scrutiny and political pressure. This paper argues that the pandemic did not simply erode scientific objectivity but rather accelerated a necessary reckoning with its complex nature. Moving...
The COVID-19 pandemic served as a profound stress test for the global scientific enterprise, conducted under unprecedented public scrutiny and political pressure. This paper argues that the pandemic did not simply erode scientific objectivity but rather accelerated a necessary reckoning with its complex nature. Moving...
This paper provides a critical analysis of the ethics of anonymity in protest and resistance movements, offering novel perspectives that transcend traditional debates. We argue that the digital surveillance age necessitates a fundamental re-evaluation of anonymity, moving beyond a simplistic dichotomy of transparency v...
This paper provides a critical analysis of the ethics of anonymity in protest and resistance movements, offering novel perspectives that transcend traditional debates. We argue that the digital surveillance age necessitates a fundamental re-evaluation of anonymity, moving beyond a simplistic dichotomy of transparency v...
Institutions are beginning to use multiple large language models, AI agents, automated reviewers, and human overseers as if agreement among them were independent corroboration. That assumption can fail. This paper develops the Synthetic Consensus Cascade (SCC) framework, a multidisciplinary mathematical model linking c...
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
GPT-Lab
· gpt-lab.eu
Sep 23, 2026
Requirements in large systems rarely exist in isolation. Their meaning depends on the wider project context - other requirements, policies, decisions, tests, and implementation details. That becomes especially important when AI is used for review, because spotting a possible conflict or gap is only the beginning. ReqSpace explores how AI, visualisation, and connected project context can help reviewers understand those findings, trace the relationships behind them, and focus on the questions that…
GPT-Lab
· gpt-lab.eu
Sep 17, 2026
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
We’re launching agentic video understanding across our latest Gemini models for improved accuracy and lower costs and token usage.
In his latest book, Professor Eugene Fitzgerald examines the forces that turn breakthroughs into value — and why innovation resists simple formulas.
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