- Pascal's Chatbot Q&As
- Archive
- Page 24
Archive
"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.
GPT-4o: Training AI using copyrighted materials without permission violates copyright law, and current legal protections, like the TDM exception, are not sufficient to justify these uses.
These documents argue that AI training goes beyond the scope of TDM because it involves copying the syntax and structure of copyrighted works, not just analyzing the information​
GPT-4o: Yes, the case of Hachette Book Group, Inc., et al. v. Internet Archive is highly relevant when considering the use of copyrighted works without consent in training Large Language Models (LLMs)
This ruling could have significant implications for how copyrighted material is used in AI training, particularly if it doesn't involve obtaining consent or paying for usage.
What would Einstein's take on AI have been? He would see tremendous potential of AI to advance human knowledge but would also emphasize the need for ethical responsibility, transparency and fairness.
Above all, Einstein would call for a scientific culture that remains true to the principles of objectivity, integrity, and social responsibility, even in the face of rapid technological change.
GPT-4o about Anthropic's mitigation strategy: By embedding these instructions at the system level, the model can be steered away from behaviors that could potentially infringe on copyright.
Users can ask models to generate long passages from copyrighted works, but if the model is pre-programmed to refuse to comply (or to only provide summaries), the risk of infringement is reduced.
GPT-4o: Critics argue that Amazon's pledge does not account for the significant water usage associated with the power plants that supply electricity to these data centers.
The problem is not easily solvable because it involves complex interactions between energy consumption, water usage, and local conditions. Perplexity & Claude: This is not easily solvable.
GPT-4o: Many tech-driven initiatives are influenced by libertarian or anarcho-capitalist ideologies, which emphasize individual freedom, minimal government, and market-based solutions.
Unlike earlier pioneers who focused on nation-building or colonization, tech entrepreneurs think in global terms, their projects as part of a larger, global network of innovation and economic activity
GPT-4o: The paper makes strong and provocative claims about the negative impact of AI in education, particularly its role in commodifying learning and undermining intellectual integrity.
It also provides surprising insights into how AI might be doing more harm than good in educational settings and offers valuable advice for educators to push back against these trends.