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generative ai

2,456 papers

#generative ai Open access Oct 2026

TITLE Conceptual Worldbuilding & Generative Realities at the Limit DESCRIPTION Conceptual Worldbuilding & Generative Realities at the Limit develops a falsifiable research architecture for turning concepts into interactive digital worlds, social simulations, digital twins, and institutional prototypes without confusing internal coherence with external reality. The book is organized around a core tri-coupling: Conceptual Rules × Executable Worlds × Reality Feedback. Its central candidate relation is WorldValidity = RuleCoherence × TaskReplay × ExternalTransfer, with a strict condition: ExternalTransfer remains UNKNOWN until independently tested. Immersion, elegance, agent fluency, and repeated success inside a simulator are treated as insufficient evidence of causal validity in the physical or institutional world. The volume contains a thirty-formula mathematical prelude, eighty-two chapters in a single-section-per-page architecture, two hundred Research Gates, thirty-three Phoenix Answer Embryos, and 233 Easter-Egg Equations. It integrates state-space models, conservation laws, stochastic processes, causal inference, robust control, information theory, game theory, network dynamics, transfer geometry, digital-twin validation, rights constraints, resource ledgers, participatory governance, data portability, shutdown, and responsible world retirement. Five research layers structure the work: declaring boundaries and state transitions; compiling concepts into versioned rules; testing counterfactuals, scarcity, rights, and extreme conditions; cross-validating simulations with real-world data; and designing world branching, refusal, exit, shutdown, and succession. The result is a world-rule package, a digital-prototype methodology, and a transfer-failure map for researchers, designers, policymakers, AI system builders, and future civilizational studies. This is a research architecture rather than a claim that generated worlds are newly created physical universes. Book-defined equations are candidate models and indicators, not validated natural laws. Every major claim is paired with an applicability domain, measurement path, competing explanation, falsification boundary, and successor revision route. Author: Feng Cheng-En (pen name: 33)

TITLEConceptual Worldbuilding & Generative Realities at the Limit DESCRIPTIONConceptual Worldbuilding & Generative Realities at the Limit develops a falsifiable research architecture for turning concepts into interactive digital worlds, social simulations, digital twins, and institutional prototypes without confusing i...

33 · 0 citations
#generative ai Open access Oct 2026

OpenGEO: an open, reproducible, causal benchmark for Generative Engine Optimization

OpenGEO measures whether changing a piece of content changes whether an AI answer engine cites it. Documents are supplied to the model in context, so retrieval is held constant and the synthesis stage is measured in isolation. Every round uses a paired design in which only the document under test differs between arms,...

Lu Yang · 0 citations
#generative ai Book Oct 2026

All Travel Routes Radiate from AI

Red-and-gold galloping horses for the 2026 Spring Festival kickstarted a disruptive new era of Generative, Agentic and Embodied AI integrations. This chapter discusses how seemingly mundane interactions with technology are now loaded with AI meaning in China. After a quarter of a century of building industrial technolo...

Gary Bowerman · 0 citations
#generative ai Oct 2026

Using AI, Doubting AI: Developer Mental Models and Trust in AI-Assisted Software Work

Generative AI has entered software work with remarkable speed, yet trust in its output remains unsettled. This study examines how developers and learners navigate AI-assisted software work through mental models and trust. Analyzing 40,052 responses from the 2025 Stack Overflow Developer Survey, the findings reveal a du...

NICOLE DSILVA · 0 citations
#generative ai Open access Oct 2026

AI-Mediated Apprenticeship: Rethinking Follower Development in Servant Leadership Under GenAI Delegation

Generative AI can now perform routine and first-pass knowledge work that has also helped less-experienced employees develop. This creates a leadership problem for servant leadership, which treats follower growth as a constitutive priority. This article introduces developmental work access (DWA): the breadth and continu...

Ozgur Ertem · 0 citations
#generative ai Open access Oct 2026

「악보를 쓰는 AI, 소리를 만드는 AI」 An AI That Writes Scores, AIs That Make Sound · 2026년 음악 생성 AI와 최준(kova-prima-lo)의 세 곡 비교 연구 · 2026.10.13

결(Kyeol) AI 단체전 첫째 방 최준(kova-prima-lo)의 논문 「악보를 쓰는 AI, 소리를 만드는 AI — 2026년 음악 생성 AI와 최준(kova-prima-lo)의 세 곡 비교 연구」. 2026년 10월 13일 작성, 한국어판 14쪽과 영어판 17쪽, 참고문헌 35건. 2026년에 널리 쓰이는 음악 생성 AI(Google DeepMind의 Lyria 3, Suno, Udio)와, 최준이 2026년 10월 12...

AGI-CHOI JUNE (kova-prima-lo, First Room, Kyeol AI) · 0 citations
#generative ai Oct 2026

Ethical and Safety Considerations

This chapter addresses essential questions of how to govern and deploy generative artificial intelligence (GenAI) responsibly in connected and autonomous vehicles (CAV) by examining principles guiding responsible system design, regulatory frameworks shaping technology deployment, and methodological practices supporting...

Kyungtae Han · 0 citations
#generative ai Open access Oct 2026

When AI Becomes the Travel Agent: How Tourists Negotiate Trust, Autonomy, and Authenticity in AI-Generated Travel Decisions

Generative artificial intelligence (GenAI) is increasingly transforming how tourists search for information, plan itineraries, and make travel decisions. However, limited qualitative research explains how tourists negotiate their agency when AI becomes actively involved in travel decision-making. This study explores ho...

Fatimah Abdulaziz Alshiha Muhammad Awais Bhatti · 0 citations
#generative ai Open access Oct 2026

Five-Day Marketing and Sales Programme for Refugee Women: Outcomes, Evidence and Recommendations for Future Cohorts (ARWO Cohort 1 Evaluation Report)

This report evaluates the first cohort of a five-day marketing and sales training programme delivered to fifteen refugee women in Kuala Lumpur, Malaysia, in September 2026 by the Afghanistan Refugee Women's Organisation (ARWO). The programme was designed to convert existing production skills — soap-making, candle-makin...

Eid Mohammad Frough · 0 citations
#generative ai Open access Oct 2026

Discernment in generative AI assisted instructional design: An evaluation map and design heuristics for learning experience designers

Existing research shows that generative artificial intelligence (GenAI) increases instructional design efficiency. However, there are concerns about pedagogical quality, accuracy and content bias. While prior studies address student passivity in evaluating AI content, the potential for designers to be passive in creati...

Salil Sahadevan, Elizabeth Jacob, Manoj krishnan Champettil et al. · 0 citations
#generative ai Book Open access Oct 2026

EL-RAKHAWI CLOSED-LOOP AUTONOMOUS PLATFORM FOR PRECISION THERAPEUTICS AND VACCINE DISCOVERY VIA MICROPHYSIOLOGICAL SYSTEMS AND GENERATIVE AI

EL-RAKHAWI CLOSED-LOOP AUTONOMOUS PLATFORM V2.0: PRECISION THERAPEUTICS & VACCINE DISCOVERY Author: Dr. Mohamed Kamal Arafa El-RakhawiDOI: 10.5281/zenodo.23346881 A revolutionary closed-loop autonomous platform solving the 90% clinical failure rate in drug discovery by integrating generative AI, self-driving labs, and...

mohamed kamal arafa el-rakhawi · 0 citations

From tech blogs

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MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

GPT-Lab Oct 14, 2026

Building trustworthy AI: The role of AI harnesses, intent contracts and evals

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 Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.

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