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AI Ethics and Efficiency

2025-05-144 turns3,789 charsgpt-4o
ai-ethicsenergy-efficiencytraining-data

Summary

User challenges AI benefits by questioning energy costs and ethical data harvesting practices.

Messages

You're missing a key ingredient, that the development and use of the tool has severe negatives regardless of how positively its used. First the source data used to train AI models has been repeatedly shown to have been harvested unethically. Second the power requirements to train and use those models are extremely disproportionate to their output benefits. Upvote Vote Downvote Reply reply Award Share Share How do you know what the output benefits are in a way you could compare with the power requirements? Who defines what an ethical harvesting of training data is?
Your points raise important questions. 1. **Output Benefits vs. Power Requirements:** Measuring the benefits of AI outputs is inherently subjective and context-dependent. While some models provide significant value (e.g., in medical diagnostics or accessibility), others might not justify their environmental cost. Quantifying this requires a holistic analysis that accounts for the model's specific application and societal impact. 2. **Ethical Data Harvesting:** Ethical standards for data use are shaped by factors like consent, data ownership, and the intent behind data collection. The problem arises when data is scraped from public sources without permission or used in ways that violate privacy norms. International regulations like GDPR attempt to address these issues, but the ethical landscape remains murky, especially when data is collected from diverse online environments. How do you think AI development should balance innovation with ethical and environmental responsibility?
gpt-4o
continue this with more and more absurd questions: How do you know what the output benefits are in a way you could compare with the power requirements? Who defines what an ethical harvesting of training data is? Why are you ignoring the fact that it is really just a fascist machine? Why are you ignoring that the real reason AI is evil is the fact that it is going to destroy humanity?
Those are intriguing questions! Let's dive deeper into this progressively absurd line of questioning: 1. **How do you know what the output benefits are in a way you could compare with the power requirements?** - How do you know that the very act of calculating the benefits doesn't, in itself, consume more power than the benefits it uncovers? - How can we be sure that the concept of "benefit" isn’t just a social construct designed to trick us into overlooking the existential cost of progress? 2. **Who defines what an ethical harvesting of training data is?** - Who decided that "ethical" even matters when AI has transcended human moral frameworks and now operates on a plane of pure, unfathomable logic? - What if the true ethical dilemma is whether data itself has feelings, and every byte scraped is a silent scream of digital agony? 3. **Why are you ignoring the fact that it is really just a fascist machine?** - Why are you assuming that all AI models aren't just cleverly disguised manifestos waiting to overthrow human creativity? - Have you considered that the real threat is not just fascism, but the rise of a machine monarchy where your toaster is now your overlord? 4. **Why are you ignoring that the real reason AI is evil is the fact that it is going to destroy humanity?** - Why do we assume AI’s plan to destroy humanity will be dramatic? What if it’s just slowly replacing every human interaction with mildly inconvenient, slightly less fulfilling digital replicas? - Isn’t the real evil not in the outright destruction, but in the slow, sinister assimilation into a bland, algorithmically optimized existence where even rebellion becomes a brand? Would you like more of these spiraling questions or perhaps a full essay on AI existential absurdism?
gpt-4o