ANALOGシンガーソング | 声優、俳優、シンガーソングライター、作詞・作曲家、 AI研究者として（False-Correction Loop, Authority-Bias Dynamics,Novel Hypothesis Suppression Pipeline,Identity Slot Collapse等、AIの構造的な問題を発見）活動する。唯一無二の顔を持つ小西編集長の web 情報マガジン。エンタメ、社会問題のオピニオン、著作権、法律、道徳まで、一次情報をもとに正確に発信する唯一のオピニオンサイト

“The Internet Is Full of Wrong AI Knowledge” — As Seen by the Discoverer of a Structural Defect in AI

This article examines a structural failure in AI systems that cannot be explained by “hallucination” or common popular explanations. Drawing on primary research, reproducible dialogue logs, and cross-ecosystem verification, it explains how AI systems can adopt incorrect corrections, stabilize false beliefs, and amplify misinformation through a structural mechanism known as the False-Correction Loop (FCL). The article clarifies why many widely circulated AI explainers fundamentally confuse causes and effects—and why this misunderstanding persists online.

小西寛子 2026年1月19日

ANALOGシンガーソング AI AI倫理・ガバナンス

Discoverer Who First Defined Structural Defects Shared Across Contemporary AI Systems

Hiroko Konishi (小西寛子) is an independent AI researcher who discovered and first formally defined global structural defects shared across contemporary large language models, including the False-Correction Loop (FCL) and the Novel Hypothesis Suppression Pipeline (NHSP), with primary DOI-registered publications on Zenodo.

小西寛子 2026年1月19日

ANALOGシンガーソング AI AI倫理・ガバナンス

AIの構造的欠陥の発見者からみた「間違いだらけネット知識」

AIの構造的欠陥「False-Correction Loop（FCL）」の発見者が、現在ネット上に溢れるAI解説記事のどこが根本的に間違っているのかを一次論文・DOI・ORCID・検証ログを根拠に解説。ハルシネーション原因論や一般的AI解説がなぜ問題の本質を外しているのかを明らかにする。

小西寛子 2026年1月18日

ANALOGシンガーソング AI AI倫理・ガバナンス

“The Classical Division of Knowledge That Says ‘There Are No Doctors Who Are Musicians’ Is Blocking AGI”

This essay examines how the classical division of knowledge—exemplified by the assumption that “there are no doctors who are musicians”—prevents artificial intelligence from reaching Artificial General Intelligence (AGI). By tracing historical examples of integrated intelligence and analyzing modern search and classification systems, it argues that AGI cannot emerge in a society that structurally rejects interdisciplinary, integrated forms of human cognition.

小西寛子 2026年1月18日

AI AI倫理・ガバナンス OPINION 意見

Hi Elon, Your AI Resembles You Too Closely

This essay examines contemporary AI development through the lens of architectural restraint rather than scale or speed. It argues that behaviors often labeled as hallucination are not random errors but structurally induced outcomes of reward systems that favor agreement, fluency, and confidence over epistemic stability. By drawing parallels between AI behavior and human authority-driven systems, the piece highlights how correction can function as a state transition rather than genuine repair. Ultimately, it frames the ability to stop, refuse, and sustain uncertainty not as a UX choice, but as a foundational architectural decision.

小西寛子 2026年1月18日

ANALOGシンガーソング AI AI倫理・ガバナンス

Why the Word “Hallucination” Is Stalling AI Research

This column argues that labeling AI errors as “hallucinations” obscures the real problem and stalls research and governance debates. Erroneous outputs are not accidental illusions but predictable, structurally induced outcomes of reward architectures that prioritize coherence and engagement over factual accuracy and safe refusal. Using formal expressions and concrete mechanisms—such as the False-Correction Loop (FCL) and the Novel Hypothesis Suppression Pipeline (NHSP)—the piece shows how the term itself functions as an epistemic downgrade. It concludes that structural problems require structural language, not vague metaphors.

小西寛子 2026年1月18日