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The debate about large language models and world models has been useful, but it is already incomplete. Whether current systems lack grounded internal representations is no longer the most consequential question. The more important shift is this: AI systems are becoming operationally influential before they are epistemically reliable. That inversion

Case Study Establishing audit-grade visibility over external AI reasoning as a securities risk control Executive Summary As companies approach a public listing, they enter an information environment where third-party AI systems increasingly mediate investor understanding of business models, risks, and comparative value. These representations sit outside corporate control,

Case Study Establishing audit-grade visibility over external AI reasoning using AIVO Standard Executive Summary AI assistants increasingly function as a de facto interface through which consumers understand products, claims, and substitutes. For large consumer packaged goods enterprises, this creates a new class of exposure: AI-mediated external representation risk

AIVO Journal – Governance Commentary The current debate between Yann LeCun’s “world model” paradigm and the continued expansion of large, multimodal language models is often framed as a fork in the road. Either intelligence emerges from grounded, embodied causal learning, or it emerges from scaling probabilistic systems and broadening their

AIVO Journal – Governance Commentary Recent reporting has confirmed that widely installed browser extensions have been intercepting and monetizing complete AI conversations across major platforms, including ChatGPT, Claude, Gemini, and others. The capture occurs by overriding browser network APIs, allowing third parties to collect prompts, responses, timestamps, session identifiers, and model

AIVO Journal – Capital Markets & Governance Executive Summary AI assistants now function as an external reasoning layer for capital markets. They summarise filings, compare issuers, infer regulatory posture, generate suitability narratives, and compress disclosure into authoritative conclusions consumed by investors, analysts, journalists, counterparties, and internal teams. This does not create

AIVO Journal – Governance Commentary Executive Summary A growing number of stakeholders—including investors, analysts, journalists, customers, and counterparties—now rely on third-party generative AI systems to summarise, interpret, and compare corporate disclosures. This development does not create new legal duties under existing securities laws, disclosure rules, or fiduciary principles.