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Archive
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.
A group of 28 authors and rights holders, including Angie Cruz, Dave Eggers, Vendela Vida and others, opted out of the Bartz settlement and filed their own individual action against Anthropic.
The plaintiffs allege that Anthropic built and improved Claude using copyrighted books taken from shadow libraries and pirate datasets, including Books3, LibGen and PiLiMi/Z-Library mirrors.
Cognella v. Anthropic: Anthropic allegedly acquired pirated books from shadow libraries, torrented them, redistributed them through peer-to-peer networks, stripped copyright management information...
...scanned physical books without permission, retained a permanent “everything forever” library, and used those materials to build a commercial AI system now valued at extraordinary levels.
Journalists v. Google: The plaintiffs — Illinois-based journalists, podcasters and audiobook narrators — allege that Google used their recorded voices to train voice AI systems powering products.
Regulators should require provenance, speaker consent, retention/deletion plans, and stricter rules for biometric data in AI training.
Denmark: This ruling is important because it shifts the legal debate from “did the rights holder object?” to “did the rights holder object in a technically actionable way?” That is a much higher bar.
A rights holder may have objected in ordinary language & a lawyer may understand the objection, but the opt-out may still fail if automated systems cannot reliably process it as a rights reservation.