Category: Artificial Intelligence
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Infrastructure as Intelligence: Huang and Fink on AI’s Platform Shift, the Energy–Compute Stack, and the Political Economy of Broad Participation
Convened at the World Economic Forum in Davos, the conversation stages a highly legible problem-space: how a set of technical claims about artificial intelligence, computational architecture, and industrial capacity can be translated into a public account of economic development that remains intelligible to non-specialists while still functioning as a justification for an immense redirection of…
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Scaling the Candle: Engineering Optimism, Energy Constraint, and the Public Justification of Abundance in the Davos Musk–Fink Dialogue
The Davos conversation between Laurence D. Fink and Elon Musk is structured as a public exercise in justified optimism under institutional conditions that demand legibility, investability, and procedural civility. Its central problem-space concerns the possibility of presenting a single, integrated orientation toward “AI, robotics, energy, and space” as a coherent engineering project and, simultaneously, as…
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AI as a Truth-Procedure: Davos, Alex Karp, and the Exposure of Institutional Reality
The recorded exchange at the World Economic Forum Annual Meeting 2026 in Davos, framed as a “conversation” between Laurence D. Fink and Alex Karp, stages artificial intelligence as a problem of institutional judgment rather than a mere problem of computational capability. Across a compact sequence of prompts and answers, the event concentrates on how sovereign…
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Entrepreneurship After Repeatability: Peter Thiel at USC Annenberg on Uniqueness, Monopoly, and the Search for Secrets
The USC Annenberg event titled “Zero to One: Peter Thiel speaks at USC Annenberg” presents itself as a public exercise in how entrepreneurial discourse tries to claim conceptual seriousness without turning itself into a repeatable recipe. Within a format that begins as an institutional welcome, shifts into a semi-prepared lecture, and then is reworked by…
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Stagnation, Founders, and the New Machine Intelligence: Peter Thiel at Aspen on Risk, Power, and the American System
In a wide-ranging conversation at the Aspen Ideas Festival, investor and entrepreneur Peter Thiel presented a composite view of Silicon Valley that joins venture practice, institutional critique, and a set of political and cultural interpretations about the United States’ present trajectory. Interviewed by Andrew Ross Sorkin, Thiel framed his central investment thesis around a particular…
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Artificial General Intelligence: An Introduction
Artificial General Intelligence: An Introduction presents itself as a primer, yet in practice it occupies a more intricate space: it is at once an entry point and a provocation, a clarified map of canonical distinctions and a deliberately unsettled itinerary through the philosophical and political stakes of building minds. George Adamopoulos writes from a first-principles…
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Artificial General Intelligence | 13 Volumes
Artificial General Intelligence is a monumental collection here in 13 volumes, each corresponding to the proceedings of the AGI conferences held annually since 2008. Edited by luminaries such as Pei Wang, Ben Goertzel, Stan Franklin, Jürgen Schmidhuber, Kristinn R. Thórisson, Moshe Looks, Joscha Bach, Matthew Iklé, Aleksandr I. Panov, Alexey Potapov, Roman Yampolskiy, Denis Ponomaryov,…
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Artificial Intelligence and Symbolic Computation | 9 Volumes
The Artificial Intelligence and Symbolic Computation series represents a look through the evolving landscape of computational intelligence and symbolic reasoning over the course of several decades. This collection of nine volumes encapsulates the proceedings of nine international conferences, each serving as a milestone in the convergence of artificial intelligence (AI) and symbolic mathematical computation. The…
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Agents and Artificial Intelligence | 13 Volumes
Agents and Artificial Intelligence is an extensive compendium that encapsulates over a decade of pioneering research and philosophical inquiry into the realms of artificial intelligence and agent-based systems. Spanning 13 volumes derived from the International Conference on Agents and Artificial Intelligence (ICAART) held annually from 2009 to 2021, this collection represents a curation of the…
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Hybrid Artificial Intelligent Systems | 6 Volumes
Hybrid Artificial Intelligent Systems is a comprehensive anthology spanning six volumes, encapsulating the proceedings of the 13th to the 18th International Conferences on Hybrid Artificial Intelligent Systems (HAIS) held in Spain from 2018 to 2023. Edited by a distinguished group of scholars including Hilde Pérez García, Lidia Sánchez González, Manuel Castejón Limas, Héctor Quintián, Emilio…
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Explainable and Transparent AI and Multi-Agent Systems | 3 Volumes
The anthology Explainable and Transparent AI and Multi-Agent Systems is a monumental compilation that encapsulates the forefront of research and philosophical inquiry into the realms of explainable artificial intelligence (XAI) and multi-agent systems (MAS). Spanning three significant international workshops—EXTRAAMAS 2021, held virtually due to the global pandemic; EXTRAAMAS 2022, also conducted virtually; and EXTRAAMAS 2023…
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Explainable Artificial Intelligence: First World Conference, xAI 2023 | 3 Volumes
Explainable Artificial Intelligence: First World Conference, xAI 2023, edited by Luca Longo, represents a monumental compilation of cutting-edge research that goes into the burgeoning field of explainable artificial intelligence (XAI). This three-volume set emerges from the proceedings of the inaugural xAI 2023 conference held in Lisbon, Portugal, and encompasses a comprehensive spectrum of 94 rigorously…
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xxAI – Beyond Explainable AI
xxAI – Beyond Explainable AI represents a significant milestone in the ongoing mission to bridge the gap between complex machine learning models and human interpretability. Edited by Andreas Holzinger, Randy Goebel, Ruth Fong, Taesup Moon, Klaus-Robert Müller, and Wojciech Samek, this volume encapsulates the forefront of research in explainable artificial intelligence (xAI), extending its boundaries…
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Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning
Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning by Uday Kamath and John Liu is a seminal work in the evolving landscape of artificial intelligence, particularly in the critical domain of explainable AI (XAI). As AI systems become increasingly integrated into the fabric of society, influencing decisions in healthcare, finance, justice, and beyond, the…
Simon Gros 