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Evidence presented in this report shows a pattern of traffic displacement, data foreclosure, and coercive trading conditions that threatens the sustainability of the open web...
...and the competitive viability of the AI market. The EU intends to dismantle the "data moats" that Big Tech is currently constructing, preserving a competitive, pluralistic digital market.

The LLM agent completed hypothesis-driven venture searches in 13.4 seconds on average, compared to roughly 7200 seconds (2 hours) for a human analyst—yielding a 537× speed improvement.
LLM agents formed more compact, better-separated clusters—i.e., cleaner investment themes—than trained investment professionals.

Gemini's analysis of the AI related claims made by the technology industry’s most prominent CEOs, researchers, and pundits during a three-year window.
These were not merely missed earnings targets or delayed product launches; they were fundamental mischaracterizations of technological capability, economic utility, and societal adoption rates.

American citizens are increasingly living in an algorithmic reality that is distinct from the rest of the world, shielded from foreign critique not by a single "Great Firewall,"...
...but by a thousand invisible cuts to the infrastructure of truth and transparency. The result is a United States that is digitally sovereign but informationally isolated.

Limitless.ai - A case study in how small, hardware-enabled AI companies transition their products, user promises, and privacy models into the machinery of a Big Tech ecosystem.
Most global markets—including the EU, UK, Israel, South Korea, Turkey, China, and Brazil—are cut off entirely as of Dec 5, 2025, with permanent data deletion for users in those regions after Dec 19.

The Amazon–Perplexity dispute is not just about shopping. It is a crystallization of a larger societal determination: Can AI agents wander the digital world as if they were human users...
...unconstrained by platform rules, security measures, and copyright boundaries? Amazon says no—legally, contractually, and technologically. Courts are increasingly saying no as well.

The United States is currently undertaking a radical restructuring of its industrial, legal, and energy policies to accommodate the unprecedented demands of the artificial intelligence (AI) sector.
The analysis reveals a “whole-of-government” approach where national security is utilized as the primary vehicle to bypass fiscal constraints, copyright protections, and state-level safety regulations

A rigorous investigative analysis of the current operational frameworks governing major social media and e-commerce platforms reveals a profound and systemic asymmetry in how identity is verified.
Sophisticated panopticons to monitor, verify, and restrict the behavior of individual users, while barriers to entry for commercial actors (advertisers & 3rd-party sellers) remain dangerously porous.

The first Italian court case targeting AI training on audiovisual works, and it arrives in the context of a rapidly expanding global litigation wave against Perplexity.
The litigation alleges large-scale, unauthorized ingestion of copyrighted film and TV works to train Perplexity’s models.

Despite the national security framing, the NNSA RFI contains multiple elements highly consequential for universities, research organizations, and scholarly publishers.
Genesis EO establishes federal scientific datasets as training sources for foundation models. The NNSA RFI reinforces this and includes classified science, physics, and engineering data.












