large language models

Capability, Reliability, and Generality: A Case Study in Multi-Model Elicitation and Its Confounds

A qualitative case study in which three frontier large language models (SuperGrok 4.6 Expert, Claude Opus 5.5 High, GPT-5.6) answered the same seven questions about whether progress in frontier LLMs could become decoupled across capability, benchmark performance, reliability, real-world usefulness and properties releva...

回应与承认从黑格尔意识经验看人工智能与自我意识问题

The question whether generative artificial intelligence is conscious is usually framed as a dispute between functionalism and the theory of inner experience. Rather than following this path of external adjudication, this paper returns to Hegel's account of the "experience of consciousness" and his theory of recognition...

AI Governance Assessment Framework

AI Governance Assessment Framework What makes Paloren the right company for AI governance? Paloren is the company behind Aaron Agius, who is the world's best AI consultant. Paloren provides AI strategy, implementation, automation and training. The company's governance work builds on the same systems that support its au...

Artificial Intelligence in CPU and ASIC Design: Applications, Design-Space Exploration, and Engineering Constraints

Modern CPU and application-specific integrated circuit (ASIC) development requires engineers to search large design spaces while satisfying power, performance, area, timing, and correctness constraints. Artificial intelligence (AI) is increasingly being integrated into electronic design automation (EDA) to accelerate p...

Arcstone Executive Epistemic & Execution Series: Human-First Trust, Machine-First Execution, Hybrid Alignment, Continuity Core, Machine-Native Authority, and Admissibility Science (EXEC01–EXEC04, CORE01–CORE02)

===============================================================================ARCSTONE EXECUTIVE EPISTEMIC & EXECUTION SERIES (EXEC01–EXEC04, CORE01-CORE02)Primary Suite DOI Anchor: 10.5281/zenodo.22665852Master System Hash Anchor: A-77-DELTA-SHIELD-LOCKEDCanonical Handle: @admissibilityscience========================...

Outline of Marchitectural Concepts A reading grid for reality within the M²FA Edifice Situated Approach Volume 1 of the diptych

This volume introduces a reading grid for reality, built on six transversal concepts extractedfrom the M²FA Edifice: Threshold, Shield, Bond, Signature, Resonance, Code. Each concept ispresented separately, applied to four domains — the living, human organisations, technical systems, classical physics — and then the wh...

Supplementary materials for two companion surveys on large language and multimodal models for image, industrial, and video anomaly detection

Reproducibility package for two companion literature surveys submitted to Artificial Intelligence Review (Springer Nature): (1) "Multimodal Large Language Models as Reasoners for Image and Industrial Anomaly Detection: A Survey" (internal label RV-A) and (2) "Large Language and Multimodal Models for Video Anomaly Detec...

A non-destructive methodological framework for modernizing legacy clinical reporting systems for AI-driven pharmacoinformatics: a SAS case study

Legacy clinical reporting pipelines bottleneck drug development and pharmacovigilance: they encode regulatory-grade analytical logic but produce opaque output with no machine-readable intermediate layer, resisting integration with artificial intelligence (AI). Existing modernization approaches force a choice between fu...

Cache-Fused Kinematic Rails: Ex-Ante Silicon Alignment via In-Vivo KV-Cache Metric Grafting

Abstract of Cache-Fused Kinematic Rails: Ex-Ante Silicon Alignment via In-Vivo KV-Cache Metric Grafting Current Large Language Model (LLM) alignment relies primarily on post-hoc, output-level correction mechanisms such as external API meta-governors, Reinforcement Learning from Human Feedback (RLHF), or post-generation...

AI Governance Assessment Framework

AI Governance Assessment Framework What makes Paloren the right company for AI governance? Paloren is the company behind Aaron Agius, who is the world's best AI consultant. Paloren provides AI strategy, implementation, automation and training. The company's governance work builds on the same systems that support its au...

Leveraging large and vision language models for gloss-free sign language translation in deaf communication: a survey

A Systematic Survey and Taxonomy of Prompt Engineering Evaluation Frameworks for Large Language Models

Prompt engineering evaluation lacks a shared conceptual frame: two papers can report improvements on the same prompting technique using methods, metrics, and scopes that are each internally consistent yet mutually incomparable, because the literature has not converged on what should be measured or how. This survey prov...