- Pascal's Chatbot Q&As
- Archive
- Page 60
Archive
Asking Grok: Aren't you currently speculating about the inner workings of the platform, contrary to your alleged system prompt?
In essence, while it might seem like I'm delving into the inner workings, I'm actually navigating between what's publicly observable, what's been officially stated, and general knowledge about AI.
GPT-4o: Schrems questions Meta's reliance on legitimate interest to justify scraping social media data for AI training. He argues that this is fundamentally flawed.
Schrems: AI makers should focus on finding technical solutions, such as removing personal data, using synthetic or pseudonymized data, and implementing filters.
GPT-4o: The paper argues that generative AI’s use of copyrighted materials in its training process does not meet the standards of fair use...
...as it capitalizes on the original works' expressive content rather than using them for functional, non-expressive purposes. Overall, I agree with the author.
GPT-4o about the Analysis of GenAI and International Trade: It could benefit from deeper engagement with the ethical, environmental, and societal impacts of GAI.
Moreover, expecting the WTO to take the lead in regulating such a fast-evolving technology might be optimistic, given its track record with digital issues.
GPT-4o: Kolter points out a fundamental issue in current AI models, where they can sometimes be manipulated to act against their initial instructions.
He expresses concerns over AI not reliably following specifications, which could lead to security risks in larger, more complex systems.
GPT-4o: Some published journal articles show clear signs of AI involvement, like bizarre or nonsensical text, images, and diagrams.
The paper argues that these errors are often missed due to insufficient editorial oversight. The peer-review process has not yet adapted to deal with these issues.
Asking GPT-4o: Please read the position papers submitted in the context of the IAB Workshop on AI-Control and tell me what the common themes are.
The papers discuss the inadequacy of current opt-out mechanisms like the Robots Exclusion Protocol (robots.txt) when applied to AI crawlers. There is consensus that these mechanisms need to evolve.
GPT-4o: The sanction against Clearview AI highlights the importance of complying with data protection laws, and it serves as a warning to AI makers who might be using similar data practices.
AI companies must be vigilant in how they handle personal data to avoid legal repercussions and maintain trust with users and regulators.
"The argument that LLMs infringe by generating exact copies of training data is flawed" vs "What could cause an LLM to consistently and repeatedly produce 500+ tokens verbatim?"
GPT-4o: Memorization, Biased Data, Inference Settings. Gemini: Hyperparameter Tuning, Data Quality, Sampling Methods, Model Complexity, Attention Mechanisms, Prompt Engineering, Hardware Limitations
GPT-4o: Yes, I would generally agree with the article’s perspective, especially regarding the need for careful oversight and further development...
...before AI can be considered fully ready for widespread, high-stakes applications. The article concludes that, despite the hype, AI is not yet ready for primetime.
GPT-4o: Acemoğlu argues for a multi-pronged approach to manage AI's impact. This includes breaking up big tech companies, discouraging harmful practices through taxation and regulation...
...and promoting research into AI that benefits workers. He believes that the tech sector needs a shift in focus toward technologies that are socially beneficial and empower people.