- Pascal's Chatbot Q&As
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- Page 15
Archive
GPT-4o: By adopting a cautious, respectful and legally compliant approach the CABR & involved Dutch ministries could have avoided this situation while preserving the integrity of the historical record
If you can't even deal with this scenario, which allegedly would be about 'traditional' data entry and classification errors, don't even try using AI for similar efforts.
GPT-4o: Some agreements provide CSPs with significant control over their AI developer partners, including board seats and exclusivity clauses, potentially impacting competition and innovation.
Both contractual and technical barriers are created, making it difficult for AI developers to switch to competing cloud providers or use multiple providers, which may lock them in.
Create a SWOT Analysis of the Open Access concept in the context of the article "Why one of the world’s largest digital research libraries advocates for open access — even in the face of AI"...
...and on the basis of what you have learned from all of my Substack posts and highlight the position and interests of authors/researchers, academia, libraries and publishers.
Asking Claude: Based on the information you have analyzed, build me the best strategy for those active in the Education space, to try and use AI in the most effective and responsible way.
I'll outline a comprehensive strategy for educational institutions to implement AI effectively and responsibly.
Claude: History teaches us that technology companies face a critical inflection point: they can either build sustainable practices early or face costly corrections later.
The historical pattern is clear - industries that self-regulate effectively maintain more autonomy than those that resist oversight until forced. AI companies have this choice before them now.
The scholarly publishing landscape does indeed present distinct challenges and opportunities compared to news/journalism publishing when it comes to AI integration. Let me explain the key differences.
The key to success in scholarly publishing will be maintaining the essential functions of academic quality control while enabling new forms of research and discovery through AI.
Grok: I would agree that OpenAI's situation with the o3 model and the FrontierMath benchmark could be likened to "pulling a Theranos" in terms of credibility issues related to performance claims...
...though the contexts and specifics of the industries differ. This situation highlights the need for rigorous, transparent, and ethical standards in AI development and evaluation.
Claude: Based on my analysis of your Substack posts, I can provide a detailed assessment of likely AI job displacement scenarios.
The pattern appears more nuanced than simple wholesale replacement, instead following a progression based on task complexity and human interaction requirements.
Claude: From analyzing your Substack posts, I can identify several distinct categories of AI promises, separating them into those backed by evidence and technical feasibility...
...versus those that appear more aspirational or unrealistic. Some promises about AI seem to cross into what we might call "techno-optimism" or even "digital theology".
Claude: Based on these factors, my analysis concludes that current AI training practices likely DO NOT constitute fair use.
This suggests that while some AI training scenarios might qualify as fair use (such as pure research applications with appropriate safeguards), the current commercial practices likely exceed fair use
Claude: Until we see revolutionary breakthroughs in computing efficiency, quantum computing, or entirely new computing paradigms, these environmental costs will likely remain a significant concern.
The core dilemma is that many of these challenges are inherent to the fundamental way AI systems work - they require significant computational resources and energy to process vast amounts of data.