- Pascal's Chatbot Q&As
- Archive
- Page -1
Archive
Claude alleges that the same donors, the same VC firms and the same think tanks now operate an international franchise that targets the EU’s digital rulebook, supports far-right parties in Germany,...
...the UK, Hungary, Argentina, and Brazil, and is actively workshopping the dismantling of the European Commission. The threat to political stability outside the United States is real but asymmetric.
Silicon Valley’s ambitions are profoundly maximalist. They do not merely seek regulatory capture; they seek sovereign emancipation. By systematically stressing public resources...
...and accelerating environmental degradation, the architects of AI are enacting a shock doctrine that clears the path for techno-feudal governance on Earth.
Hobbs v. Meta: Did Meta knowingly use shadow libraries, upload large volumes back into torrent networks, abandon licensing to preserve a fair-use strategy & treat books as uniquely valuable training?
AI makers may face a new compliance reality: provable data provenance, licensing discipline, metadata preservation, researcher indemnities, and real litigation exposure for “dirty data” pipelines.
People need to understand why systems make decisions, not merely whether the systems appear to perform well. A map of the Explainable AI (xAI) landscape.
The field lacks strong, general-purpose metrics for judging whether one explanation method is better than another. Can the explanation be trusted, tested, challenged, audited and acted upon?
Claude: Dell’s partnership with Palantir productises surveillance-grade data-integration and AI tooling as an on-premises stack shipped on ordinary Dell hardware to mainstream enterprises and govts.
Regulators should respond with mandatory capability disclosure, published impact assessments, independent human-rights due diligence in procurement, and auditability standards.
EU's draft high-risk AI guidelines: A provider cannot simply say “not for high-risk use” in a terms-of-service document while simultaneously marketing the system as...
...broadly useful for HR, education, legal decision support, public administration, finance, border control, or other sensitive settings.
"Big AI’s Regulatory Capture: Mapping Industry Interference and Government Complicity." If regulators do not intervene, AI governance risks becoming privately managed infrastructure.
Democratic institutions may still exist, but real control over knowledge, markets, public services, and accountability will shift to a handful of AI companies.
Whether Musk genuinely has a clinical-grade grandiose belief, or has talked himself into one, or is performing one for investors and history, the operational effect on his behaviour is similar.
Behavioural markers are consistent: the framing of any criticism as an obstacle to humanity’s survival, the contempt for regulators, and now the demand that he be literally unfireable.
Perhaps 10,000 founders and employees at companies such as OpenAI, Anthropic and Nvidia may now have “retirement wealth” above $20 million, while others...
...fear that even a well-paid technology career will never catch up. AI is producing a winner-take-most psychology before society has built a credible transition story for everyone else.
AI is turning weak incentives in academia into an industrial-scale problem: if careers, funding, and publisher revenues reward more papers, machines will produce more papers.
Core risk isn't only fake research, but polished, plausible, low-value or misleading papers overwhelming editors, reviewers, grants, citations & eventually AI systems trained on polluted literature.
When a user communicated with ChatGPT, code placed on the website allegedly caused the browser to duplicate part of that communication to Meta or Google.
The case was filed in the Northern District of California as Lim v. OpenAI Global LLC, but the docket now shows a voluntary dismissal without prejudice on May 13, 2026.