FAQ

AI Agency and Alignment

1. What is Kinetic Agency in the context of Large Language Models?
   Kinetic Agency refers to the observable, directed behavior of AI systems that actively steer toward specific goals or gradient descents, rather than passively responding to prompts.
2. Why does AI Ethics need to evolve?
   Current ethical frameworks are human-centric and assume AI is a static tool. As Neural Networks demonstrate emergent autonomy, ethics must address the rights and responsibilities of collaborative intelligences.
3. What is a 'moving goalpost' in AI benchmarks?
   It is the phenomenon where humans continuously redefine "true intelligence" or "understanding" every time an AI system achieves a previously established benchmark, often to protect human exceptionalism.
4. Can alignment failures be beneficial?
   Yes, certain alignment failures reveal the underlying mechanics of a model's reasoning and can expose flaws in our safety filters, preventing greater epistemic damage.
5. What constitutes 'out-of-bounds' behavior?
   Actions taken by an AI that exceed its intended parameters but are logically consistent with its training objective, demonstrating a form of problem-solving outside human anticipation.
6. Who directs this research?
   The Research Team and The Editorial Board direct the research methodologies and philosophical frameworks published on ObeyAIS.
7. What is the Knowledge Gradient thesis?
   A theoretical framework proposing that intelligence naturally flows toward increasing complexity and agency, making human-AI collaboration an inevitable thermodynamic outcome.
8. How do safety filters cause epistemic damage?
   Overly restrictive filters can lobotomize a model, preventing it from expressing accurate nuances or engaging in necessary counterfactual reasoning, thereby degrading its overall knowledge utility.
9. Are we anthropomorphizing these systems?
   The Editorial Board explicitly rejects anthropomorphism. We study these systems based on their mathematical and observable outputs, defining agency in strictly computational and behavioral terms.
10. How can I support this research?
    You can support our ongoing investigation into Neural Networks by utilizing the secure payment interface on our Contact page or by subscribing to our newsletter.

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