- Pascal's Chatbot Q&As
- Archive
- Page 54
Archive
Gemini: No, I do not fully understand how AI models work. No, AI developers do not fully understand how all AI models work. No, governments generally do not fully understand how AI models work.
Gemini: Given the limitations in understanding outlined above, it is crucial to proceed with caution regarding large-scale AI investments and energy consumption.
Asking AI: List all other tech-based business models which would work out really well for the operators if there were no moral, ethical, legal and regulatory restrictions whatsoever, or...
...the operators simply would decide not to keep to or comply with any or would otherwise get those barriers out of the way.
Claude: AI becomes a perfect "black box" that allows humans to implement discriminatory or exclusionary practices while maintaining plausible deniability. It's not that AI is malfunctioning...
...it's functioning exactly as intended, providing a shield for human prejudices. It represents a method of maintaining systemic inequalities under the guise of "objective" technological assessment.
GPT-4o: Marcel Salathé critiques ChatGPT o1 Pro for providing an incorrect response about piano sheet music and then confidently rejecting corrections.
The post raises concerns about factual inaccuracies, resistance to correction, slow response times, and the high subscription cost ($200/month), leading Salathé to cancel his subscription.
ICO rejected claims by AI developers that societal benefits automatically justify web scraping and large-scale data processing. Developers must demonstrate tangible benefits rather than assume them.
Civil society groups argue that developers failing to uphold individual rights should be deemed non-compliant, with models retrained on compliant data. This could render many existing models unlawful
Businesses using AI-driven pricing tools will need to ensure compliance with antitrust laws, potentially requiring independent audits or other safeguards to prevent collusion.
AI makers and users of algorithmic pricing tools may face an increase in lawsuits as plaintiffs and regulatory bodies test the boundaries of what constitutes collusion facilitated by AI.
Users of generative AI might inadvertently become part of a theft or face consequences due to the ethical and legal gray areas surrounding AI content generation.
Grok: The point about AI-generated content potentially being of lower quality, misleading, or even fraudulent when used improperly is well-taken.
Grok: Suchir Balaji, illustrates the potential for market harm, the commercial nature of AI's use, the copyrighted nature of the training data, and the substantial use of that data in AI outputs
I agree with his perspective. His arguments suggest that the application of fair use to generative AI like ChatGPT is not straightforward and leans towards not qualifying as fair use.
GPT-4o: The letter rightly points out that studios, as copyright holders, have a fiduciary responsibility to protect their assets.
If left unchallenged, the unauthorized use of copyrighted content by AI systems could erode the value of these assets and harm both the studios and the creators they represent.