Pascal's Chatbot Q&As
Because isn't AI the best 'person' to ask about AI? 🤖
Archive
Beyond Jobs and Investment. Hidden and Under-Discussed Drivers of the Global Data-Center and AI-Compute Boom.
Higher electricity and water costs shifted onto locals, secrecy via NDAs and shell companies, and permitting fast-tracks — is real and well-documented. An AI capex race many call a possible bubble.
6th International Wicked Symposium: AI, climate change and geopolitical disruption are interconnected “wicked problems” requiring collaboration between corporations, governments, investors and...
...academia. Advantage will come from trusted sector expertise, proprietary data and industrial applications of AI, while organisational readiness, infrastructure & geopolitics will determine success.
Hacking of Suno matters because it appears to expose something that generative-AI companies have usually kept hidden: the operational machinery used to assemble a commercial training corpus.
It may give rights owners a highly valuable roadmap for discovery and appears to corroborate allegations that were already before the courts.
Hachette v. Google: one of the first complaints constructed to remain dangerous even if a court concludes that model training can sometimes be fair use.
Fair use for one function, possession of a digital file, or technical access to a publisher’s platform does not automatically create a universal right to repurpose the work.
Candidates were allegedly asked to bring actual Apple components—including batteries, logic boards, shields, system-in-package components, housings and back glass—to interviews as “props”...
...for “show and tell.” One candidate reportedly expressed surprise because he did not know that employees were permitted to remove such parts from Apple’s offices. Apple v. Liu et al.
The Regulatory Vacuum: How U.S. AI Deregulation, Data-Center Expansion, and Semiconductor Emissions Are Reshaping Global Environmental and National-Security Risk
Federal non-regulation in the United States; pollution from the global data-center and semiconductor build-out; the tech industry's political and financial role; evidenced harms and recommendations.
AI is shifting from “attention hacking” to “attachment hacking,” with chatbots capable of fostering emotional dependency and disrupting children’s social, emotional and intellectual development.
Children must not become experimental users or data sources: AI should strengthen human relationships, autonomy and flourishing, with childhood taking precedence over commercial innovation.
AI’s health impact will depend on moving beyond isolated pilots toward trusted systems built on strong governance, interoperable standards, representative data and continuous clinical evaluation.
The ITU–WHO–WIPO report shows that coordinated IP, regulatory and commercialization strategies are essential to attract investment, scale innovation and preserve equitable access.
(3) AI for Good Summit 2026: human accountability in agentic urban systems, public AI and algorithmic justice, and AI for science through the 021 Scientific Foundation Model.
Who governs these capabilities once they become embedded in cities, public services, science, infrastructure and everyday life.
(2) AI for Good Summit 2026: Open ecosystems can reduce costs, limit dependence on dominant providers, support local adaptation and enable smaller organisations and developing countries...
...to participate in AI innovation. However, the discussion rejected the assumption that “open” automatically means accessible, responsible or safe.
(1) AI for Good Summit 2026: a proposed global AI fund, expanded capacity-building programmes, open models and research platforms, greater scientific cooperation, and locally grounded AI capable of...
...reflecting national languages, cultures and social norms. INTEROPERABILITY: enabling different national laws, technical infrastructures, rights systems and governance models to work together.