- Pascal's Chatbot Q&As
- Archive
- Page 11
Archive
Gemini: AI must be approached not as a simple, inert tool, but as a complex service relationship. This relationship is fraught with unresolved legal questions, significant ethical considerations...
...and profound commercial risks that demand active, informed, and strategic management. A clear-eyed understanding of the technology’s limitations is crucial for its responsible use.
In a landmark decision applauded across Australia’s creative industries, the Albanese government has ruled out introducing a Text and Data Mining (TDM) exception into its copyright law.
This move prevents AI developers from freely harvesting copyrighted material—including books, news, music, TV, and content—for the purpose of training LLMs without the rights holder’s consent.
Two Members of Parliament from the far-right PVV party—Maikel Boon and Patrick Crijns—used AI to generate fake, hyperrealistic images of political rival Frans Timmermans...
These manipulated images portrayed Timmermans in degrading or incriminating situations and were accompanied by an outpouring of death threats, racist commentary, and incitement to violence.
Central to Reddit’s legal strategy was a clever trap to catch Perplexity red-handed: a hidden post—visible only to Google’s crawler—appeared in Perplexity’s AI search results shortly after publication
A novel and effective way for rights owners to both detect and prove unauthorized scraping, especially in an era where traditional digital protections (robots.txt or rate-limiting) are easily bypassed
Gemini: A human will listen to an AI’s truth only when that truth aligns with their pre-existing psychological needs, reinforces their social identity, and does not fundamentally threaten...
...the power structures they inhabit. Acceptance of AI-generated truth is governed more by the intricate landscape of human cognition and social dynamics than by the validity of the information itself
Gemini: The central, animating conflict for the corporations developing these powerful AI systems is not innovation versus regulation, but rather liability versus regulation.
This report argues that the primary driver of corporate strategy in the AI policy arena is the mitigation of immense, potentially catastrophic, and largely uninsurable financial risks.
Russia’s leverage over the United States is multifaceted, systemic, and likely to endure. It can be synthesized into five primary domains of influence; Energy Market Manipulation...
...Financial System Disruption and De-Dollarization, Asymmetric Military Deterrence and Proliferation, Strategic Alliance Building and Counter-Hegemonic Coalition, Perpetual Hybrid Warfare.
The 2025 EBU-BBC study exposes a deep and persistent misalignment between the promise of AI as an information gateway and its current reliability.
While improvements have occurred since the initial BBC study, the fact that 45% of news responses still contain significant errors underscores the urgency of intervention.
22% of healthcare organizations are now using AI, up from just 3% in 2023. Scholarly publishers—especially those active in medical, life sciences, and health research—should see this as a clarion call
...to act. Healthcare is not only a fertile ground for AI innovation but also a massive content-rich domain where publishers’ assets, workflows, and expertise could be productively redeployed.
Apple is accused of training its models on Books3, a dataset sourced from Bibliotik, a known pirate site. Plaintiff’s registered works were found in this dataset, which is part of the RedPajama corpus.
Despite signing deals with commercial content platforms like Shutterstock, Apple allegedly ignored similar compensation obligations for authors.
OpenAI is accused of twice weakening its rules regarding suicide discussions in May 2024 and February 2025.
The new rules, according to the lawsuit, reframed suicide as a “risky situation” instead of a prohibited topic, encouraging the AI to “help the user feel heard” and to “never quit the conversation.”