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Archive
Shakespeare v. Anthropic is a procurement case, a corporate-governance case, and a data-supply-chain contamination case dressed as a copyright action.
Thomas William Shakespeare is a British sociologist and bioethicist. He joins roughly 100 authors and rights owners who allegedly opted out of the Bartz v. Anthropic settlement.
The Dialog leak shows Thiel’s world as a private operating system for elite power: AI, war, surveillance, politics, religion, money and social engineering meeting off the record.
Its most disturbing implication is not that Thiel controls events directly, but that powerful people voluntarily enter spaces shaped by his anti-democratic, techno-sovereign worldview.
EU Member States can, under strict conditions, impose targeted digital-safety obligations on online services established elsewhere, especially to protect minors, public safety and public order.
Platforms may lose passive-host protections when their algorithms control how user information is ranked, prioritised or rebroadcast. That principle could ripple into AI.
The Agentic AI Conference in Athens, Greece: real value will not come from pilots or demos, but from trusted data, orchestration, governance, accountability, and clear boundaries around autonomy.
The opportunity is to become part of the trusted evidence infrastructure behind agentic workflows. Content, metadata, provenance, rights, versioning, corrections and auditability become more valuable.
WHO’s ethical principles are valuable but too abstract unless translated into concrete controls such as consent governance, bias testing, external validation, clinician oversight, explainability,...
...audit trails, and drift monitoring. Biased data, weak validation, poor workflow integration, and unmonitored model drift can turn promising AI into unsafe or unequal care.
Tech often enters complex public systems by reframing structural problems as product problems, then treats real people as beta testers when the promised transformation collapses.
For regulators, the takeaway is to demand readiness (...) before allowing “move fast and iterate” models into schools, healthcare, justice, publishing, or AI governance.
Are the world's wealthiest people no longer merely accumulating fortunes but actively shaping the conditions of ordinary life against the public interest?
A tiny number of extraordinarily powerful actors pursuing profit under rules they help write, producing real public harm as a by-product while outrunning the accountability that would check them.
Kim alleges that he repeatedly warned xAI leadership that Grok lacked adequate safeguards against discrimination, misinformation, weapons-related outputs, political bias, and other serious harms...
...and that he was terminated shortly before he was due to present his safety findings to leadership.
AI in healthcare has moved from promise to practice: clinicians report saved time, more capacity, reduced stress, better decision confidence and even fewer potential medical errors.
The danger is that adoption is outpacing governance: many clinicians lack proper training, use personal AI tools, and still need clear rules on oversight, liability, transparency and patient trust.
“He Who Has the Kompromat, Rules the World.” In the AI era, surveillance capitalism industrializes the collection of secrets while deepfakes industrialize their fabrication and denial...
...so ultimate power shifts from those who hold the kompromat to those who control the platforms and verification systems that decide what the world believes is real.
If an LLM could genuinely deduce the intellectual baseline of its user from provided documents or conversational context, it could eliminate boilerplate introductions, redundant explanations, and...
...verbose conclusions. Instead, it would replace them with concise, highly targeted responses or precision-calibrated clarifying questions.
Modern statistics did not emerge in a neutral vacuum. Some of its foundational tools, categories and habits were shaped in a world of colonial administration, racial classification,...
...eugenics and the bureaucratic urge to sort human beings into supposedly measurable hierarchies. That matters deeply for AI, because AI is not magic layered on top of reality.