'AI Is Not a Natural Monopoly' is a necessary corrective to regulatory overconfidence. However, the paper’s narrow focus risks understating where real, durable power may accumulate:

not only in models, but in infrastructure, standards, governance, and dependency relationships. The absence of monopoly pricing does not imply the absence of systemic dominance.

When the supporting infrastructure—the “Smart City” grid—fails, the autonomous agents operating within it do not merely revert to a neutral state...

...they frequently enter a failure mode that amplifies the crisis, transforming from mobility solutions into physical obstructions.

The complaint alleges a deliberate, repeated, and knowing acquisition of copyrighted books from shadow libraries (LibGen, Z-Library, Bibliotik, Books3, PiLiMi) followed by systematic copying...

...during ingestion, preprocessing, deduplication, training, fine-tuning, and in some cases retrieval-augmented generation (RAG).

Why Trump Making Greenland Part of the US Would Benefit Russia: Fracturing the West - It legitimizes Russia’s own territorial logic,...

...It destabilizes Arctic governance - It accelerates European strategic autonomy (away from the US) - It creates internal US distraction and legal chaos - It reframes the US as an imperial actor.

Confidence in academic purpose persists, but institutional coherence, financial sustainability, governance capacity and public trust are eroding simultaneously.

28 percent of chief business officers express high confidence in their institution’s business model, and fewer than half expect financial improvement in the near term.

Medical students rated AIPatient as equal or superior to human-simulated patients across fidelity, emotional realism, usability, and support for clinical reasoning.t

Notably, AIPatient outperformed humans on emotional realism and technical reliability, challenging the long-held assumption that empathy and nuance are inherently human advantages in simulation.

Semantic leakage occurs when irrelevant words or concepts in a prompt systematically bias the generated output, even when no causal or logical relationship exists.

SerpApi allegedly bypassed a technical access-control system (SearchGuard) that Google built to prevent automated extraction of search-result pages containing third-party copyrighted material.

Courts, regulators, and counterparties are increasingly likely to examine symmetry of conduct—whether an organisation’s enforcement stance aligns with its own data-acquisition practices.

There’s an uncomfortable political-economy implication here: AI infrastructure expands fastest where permitting and incentives are friendliest,...

...not necessarily where water and grid constraints are lowest. That pushes real, localised conflict—even if global averages look “manageable.”

This report quietly dismantles a popular myth: that Europe’s AI problem is mainly about spending too little. The real issue is how, where, and for how long money is spent.

AI innovation is not just a budget line—it is an ecosystem problem. And ecosystems, once formed, are hard to change.

NVIDIA has successfully maneuvered from a hardware vendor to the provider of sovereign critical infrastructure, effectively immunizing itself...

...against short-term commercial ROI failures in the software layer for the duration of the current CapEx cycle.

GPT-5.2 analyses a 'Powers of Corruption' Diagram. If you want to go from “dark diagram” to proof-grade claims, you’d look for: Primary money trails, Procurement/ethics documentation,...

...Quid-pro-quo evidence, and Pardon pipeline evidence. The ecosystem of influence is real; the video’s single-mastermind diagram is rhetorical compression that slides into conspiratorial thinking.