- Pascal's Chatbot Q&As
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- Page 98
Archive
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.
Review these 4 challenges when creating AI solutions and advise as to how one can go about the implementation and deployment of this technology in such a way that it will be a viable business model.
Securing Rights and Consent for AI Training, Scaling Compute and Data Center Resources, Removing Content from Training Data or Neural Networks, Legal and Financial Risks of Ignoring Laws and Rights
GPT-4o: Integrating more human-like ways for AI to respond such as denying, ignoring, doubting, taking more time and adding self-criticism could greatly enhance accuracy, reliability, usefulness...
...and overall value of the model's output. Here’s a breakdown of which methods should be implemented and why they could be beneficial.
GPT-4o: Yes, it is possible for AI makers to remove illicit, unlawful, and infringing content from training data. Claude: YES, it is possible to remove illicit, unlawful and infringing content.
Perplexity: It appears that the answer to your question is YES, it is possible for AI makers to remove illicit, unlawful, and infringing content from training data. Gemini: YESâ–‘
GPT-4o: I agree with the perspective that OpenAI's strategy of entering into licensing deals is likely a pragmatic approach to mitigate legal risks while maintaining access to necessary content
However, the sustainability of this approach is questionable, especially if courts start ruling against the use of copyrighted material in AI training without explicit permission.