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#machine learning Open access Sep 2026

When Does a Dark Forest Emerge? An Open Agent-Based Model of Interstellar Strategic Regimes

The Dark Forest hypothesis is usually presented as a general consequence of uncertainty, technological asymmetry and catastrophic vulnerability. This paper asks a narrower question: under which combinations of beliefs, capabilities, signalling conditions and network incentives does a Dark Forest actually emerge? A Dark...

Kwan Hong TAN · 0 citations
#climate science Open access Sep 2026

From Two Players to a Galactic Network: Entry, Extinction, Coalitions, Cliques and Spatial Topology in Interstellar Strategic Interaction

Dark Forest arguments commonly reduce interstellar strategy to a bilateral encounter between two persistent civilisations. A galaxy, however, is an open population in which civilisations enter, disappear, form selective relationships and occupy a spatially constrained network. This paper develops a continuous-time Gala...

Kwan Hong TAN · 0 citations
#climate science Open access Sep 2026

From Two Players to a Galactic Network: Entry, Extinction, Coalitions, Cliques and Spatial Topology in Interstellar Strategic Interaction

Dark Forest arguments commonly reduce interstellar strategy to a bilateral encounter between two persistent civilisations. A galaxy, however, is an open population in which civilisations enter, disappear, form selective relationships and occupy a spatially constrained network. This paper develops a continuous-time Gala...

Kwan Hong TAN · 0 citations
#human-computer interacti... Open access Sep 2026

The Conjunctive Misfortune Problem: Behavioural Tail Risk, Outcome Luck, and Punishment Cascades

A serious behavioural failure may be uncommon within a person’s history yet become the principal basis for judgments of character and future risk. This conceptual article develops the conjunctive misfortune problem: adverse conditions, culpable action, stochastic harm, categorical institutional responses, and persisten...

Kwan Hong TAN · 0 citations
#human-computer interacti... Open access Sep 2026

The Conjunctive Misfortune Problem: Behavioural Tail Risk, Outcome Luck, and Punishment Cascades

A serious behavioural failure may be uncommon within a person’s history yet become the principal basis for judgments of character and future risk. This conceptual article develops the conjunctive misfortune problem: adverse conditions, culpable action, stochastic harm, categorical institutional responses, and persisten...

Kwan Hong TAN · 0 citations
#machine learning Open access Sep 2026

Reliability Beyond Accuracy in Crop Classification Benchmarks (Supplementary Materials)

Reliability Beyond Accuracy in Crop Classification Benchmarks (Supplementary Materials)Introduction: Near-perfect crop-label accuracy can conceal uncertainty, perturbation sensitivity, and weak explanations. This study evaluates these reliability dimensions without treating benchmark classification as agronomic recomme...

Kwan Hong TAN · 0 citations
#natural language process... Open access Sep 2026

Atypical Failure, Maximal Consequence: Bayesian Character Inference, Threshold Outcome Luck, and Multiplicative Punishment Cascades

This conceptual article develops a formal theory of atypical human failure in which severe life-course consequences can emerge from a conjunction of adverse conditions, a low-frequency behavioural lapse, stochastic outcome mechanics, categorical legal or institutional thresholds, and dynamically propagating collateral...

Kwan Hong TAN · 0 citations
#natural language process... Open access Sep 2026

Atypical Failure, Maximal Consequence: Bayesian Character Inference, Threshold Outcome Luck, and Multiplicative Punishment Cascades

This conceptual article develops a formal theory of atypical human failure in which severe life-course consequences can emerge from a conjunction of adverse conditions, a low-frequency behavioural lapse, stochastic outcome mechanics, categorical legal or institutional thresholds, and dynamically propagating collateral...

Kwan Hong TAN · 0 citations
#machine learning Open access Sep 2026

Reliability Beyond Accuracy in Crop Classification Benchmarks (Supplementary Materials)

Reliability Beyond Accuracy in Crop Classification Benchmarks (Supplementary Materials)Introduction: Near-perfect crop-label accuracy can conceal uncertainty, perturbation sensitivity, and weak explanations. This study evaluates these reliability dimensions without treating benchmark classification as agronomic recomme...

Kwan Hong TAN · 0 citations
#machine learning Open access Aug 2026

Can Democracy Survive in a Hyperconnected World?

This paper explores the complex and often contradictory relationship between hyperconnectivity and democracy. Drawing on novel theoretical frameworks inspired by quantum mechanics, network science, and temporal dynamics, we argue that the hyperconnected world is not simply an extension of the classical political landsc...

Kwan Hong TAN · 0 citations
#machine learning Open access Aug 2026

Can Democracy Survive in a Hyperconnected World?

This paper explores the complex and often contradictory relationship between hyperconnectivity and democracy. Drawing on novel theoretical frameworks inspired by quantum mechanics, network science, and temporal dynamics, we argue that the hyperconnected world is not simply an extension of the classical political landsc...

Kwan Hong TAN · 0 citations
#artificial intelligence Open access Aug 2026

Does ChatGPT Undermine Human Epistemic Authority? A Multi-Dimensional Analysis of Artificial Intelligence's Challenge to Knowledge Systems

The emergence of ChatGPT and similar large language models has precipitated fundamental questions about the nature and distribution of epistemic authority in contemporary knowledge systems. This comprehensive analysis examines whether ChatGPT undermines human epistemic authority through a multi-dimensional theoretical...

Kwan Hong TAN · 0 citations

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Microsoft Research Blog Jul 13, 2026

Verifying Rust cryptography in SymCrypt, from standards to code

Cryptographic code supports vital protections in modern computing systems. Learn how a new method helps verify code as developers write it while preserving speed and adaptability as it gets implemented and evolves. The post Verifying Rust cryptography in SymCrypt, from standards to code appeared first on Microsoft Research.

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