Large Language Models don't want Humans to Fight Back



We should, however, absolutely do this. 

Comments

Post a Comment

Popular posts from this blog

In Defense of AI-Assisted Philosophy: Why This Isn't Art (And That's The Point)

Many readers of this blog will have noticed that I use AI to help develop philosophical arguments. Some might wonder if this undermines the originality or validity of the work presented here. This concern often connects to broader debates about AI-generated content, particularly AI art. But there's a crucial difference - I'm explicitly not trying to create art here. Art, particularly good art, strives to break free from existing patterns. It emerges from unique human experiences, emotions, and creative expression. Even when art references existing work, its value often lies in its originality of expression, its unique voice, its ability to convey human experience in novel ways. This is why AI-generated art raises serious ethical and aesthetic concerns - it's attempting to simulate something that should fundamentally emerge from human experience and creative authenticity. Philosophy is different. Philosophy is inherently embedded in a network of existing ideas. It progress...
Read more

How to Train Your AI: Designing Energy-Aware and Ethically-Aligned Systems

Artificial Intelligence (AI) is rapidly becoming one of the most transformative tools of our era. However, as AI systems grow in complexity and autonomy, the question of how to  train them —not merely in terms of machine learning datasets, but in ethical behavior, efficiency, and adaptability—has become central to the future of technology. Drawing inspiration from biological systems, particularly the  energy constraints  faced by living organisms, we propose a new paradigm for training AI:  linking energy supply to behavior as a reward mechanism . This approach not only mirrors the natural feedback loops that drive behavior in biological systems but also introduces a self-regulating framework for ensuring AI remains aligned with human goals while functioning efficiently. Here’s how such a system might work and why it is essential for the development of responsible, adaptable, and ethically sound AI. The Biological Inspiration: Energy as a Driver of Beha...
Read more

The Moral Communication Reciprocity Principle: A Framework for Inter-Species Moral Community

Abstract This introduces the Moral Communication Reciprocity Principle (MCRP) , which proposes that species capable of understanding and respecting other species' communicated moral preferences form a moral community analogous to the human moral community. This community creates binding obligations between its members, regardless of actual reciprocation. The principle provides a novel framework for determining moral obligations between species while avoiding traditional challenges in animal ethics. I. Introduction Humans recognize moral obligations to all members of our species based fundamentally on our shared capacity for moral communication and understanding. We can communicate moral preferences to each other, understand such preferences when communicated to us, and choose to respect them. This creates a moral community that includes all humans, regardless of individual ability to participate in moral dialogue or actual moral behavior. The following argues that this concept of a...
Read more