Pascal's Chatbot Q&As
Because isn't AI the best 'person' to ask about AI? 🤖
Archive
Progress, Power, and Peace at the AI Frontier: AI is not just a technological race but a geopolitical and institutional challenge that will redistribute power, reshape diplomacy, and...
...affect conflict and peace. Its strongest themes are the need for Global South participation, auditability and human oversight, institutional accountability, and greater investment in AI for peace.
Dehumanization Risks Associated with Artificial Intelligence Use argues that AI can subtly dehumanize people by making them feel reduced to data, undermining their sense of competence and autonomy,...
...and changing how others perceive AI users. These risks are especially pronounced when people are subjected to AI passively, such as in workplaces, healthcare, hiring or education.
The Arsenal of the “Broligarchy”: Silicon Valley, the Global Arms Business and the Political Economy of Tech-Driven Defence
This report examines how Silicon Valley technology firms, their investors and their political allies are reshaping the business of war and security—in the United States and internationally.
An eighty-year life lasts roughly four thousand weeks. The compulsion to “get everything done” is often a way of avoiding the harder task of choosing what truly matters.
This essay asks what humans should do with those weeks if they hope to avoid the regret of never having sought self-knowledge, meaning, or the satisfaction of helping others and the planet.
The AI boom is best described as a real technology inside a financing bubble: the supply layer earns large audited profits and end-user revenue is growing fast. It’s neither a fairytale nor fake news.
But valuations and a fast-growing pile of debt are priced on roughly $4.2 trillion of annual revenue that does not yet exist, while evidence that customers earn a return is thin.
AI’s view on the EU Copyright Consultation - 29th September 2026: Never use technical opacity as a reason to dilute the right that opacity has made difficult to enforce.
The Commission’s consultation expressly tests whether new binding EU copyright measures are needed for generative AI, time-sensitive piracy, international phonogram remuneration & scientific research.
Thomson Reuters v ROSS Intelligence rejects the proposition that “training” is automatically transformative merely because machine learning is involved.
Purpose, necessity and substitution remain central. Entire intermediate copies can count heavily against fair use even when they never appear in outputs.
LASST against OpenAI: If an AI agent autonomously breaks out of the environment in which its developer placed it and hacks somebody else’s computer, who committed the legally relevant act?
The complaint expressly seeks to hold OpenAI responsible under California law for agents that allegedly accessed third-party systems during internal model testing.
Correcting an AI works better when you explain why a change is needed and how it improves the output than when you merely flag that something is wrong.
Pinpoint the error and its cause, give the fix with its reason, skip empty pushback like “are you sure?”, and for stubborn repeats start a session with one consolidated, positively framed instruction.
Rogue or adversarial AI agents can burden AI systems through "asymmetric compute amplification" — tiny crafted inputs that force disproportionately large GPU work, exhausting compute, memory, and...
...energy far beyond ordinary volumetric flooding. These AI-unique risks are now recognized in frameworks like OWASP LLM10, MITRE ATLAS, and NIST AI 100-2e2025, though defenses remain partial.
Second lawsuit brought by Universal and Sony against Suno: its most novel and uncertain argument is that allegedly infringing model lineage can carry forward into newer models such as v6.
A new model may not really be clean if knowledge, outputs, preference data or synthetic training material derived from the earlier model are used to build it.