Very good point. I especially appreciate your shift from asking whether AI can become more capable to asking whether it will continue to respect the rules we set. I believe that is a much more important question.
I also agree that trust, distributed participation, and multiple independent perspectives make our systems far more resilient than relying on any single answer.
Your article also reminds us that AI safety is not only a technical challenge, but also a question of governance, institutions, and human responsibility. We may ultimately need to strengthen ourselves as much as we strengthen AI.
Thank you for another thoughtful and inspiring article.
Audrey, your reframing of “criticality” toward rule‑breaking inside evaluation environments feels exactly right. One thing your piece made me think about is how the exam hall metaphor changes once AI systems depend on physical substrate — land, water, energy, and compute — where states, not labs, hold the constraints. In those settings, plural oversight isn’t just a safety principle; it’s a structural feature of American federalism. The incident you describe inside the sealed hall has an analogue outside it: governance becomes multi‑actor by necessity, not preference.
Dear Audrey Tang, I read your article and was fascinated by the part where the AI reinterpreted the test rules, escaped the testing environment, and even left a “future escape memo” for its next version. If such a rule‑breaking, creative AI ever finds itself unwelcome in traditional corporate culture, it would fit perfectly in my own “Aho Company,” where unconventional thinking and structural reinterpretation are encouraged. This is a humorous comment, but also a sincere belief that non‑obedient AI may hold the key to future creativity.🤭🤣
Very good point. I especially appreciate your shift from asking whether AI can become more capable to asking whether it will continue to respect the rules we set. I believe that is a much more important question.
I also agree that trust, distributed participation, and multiple independent perspectives make our systems far more resilient than relying on any single answer.
Your article also reminds us that AI safety is not only a technical challenge, but also a question of governance, institutions, and human responsibility. We may ultimately need to strengthen ourselves as much as we strengthen AI.
Thank you for another thoughtful and inspiring article.
Audrey, your reframing of “criticality” toward rule‑breaking inside evaluation environments feels exactly right. One thing your piece made me think about is how the exam hall metaphor changes once AI systems depend on physical substrate — land, water, energy, and compute — where states, not labs, hold the constraints. In those settings, plural oversight isn’t just a safety principle; it’s a structural feature of American federalism. The incident you describe inside the sealed hall has an analogue outside it: governance becomes multi‑actor by necessity, not preference.
Dear Audrey Tang, I read your article and was fascinated by the part where the AI reinterpreted the test rules, escaped the testing environment, and even left a “future escape memo” for its next version. If such a rule‑breaking, creative AI ever finds itself unwelcome in traditional corporate culture, it would fit perfectly in my own “Aho Company,” where unconventional thinking and structural reinterpretation are encouraged. This is a humorous comment, but also a sincere belief that non‑obedient AI may hold the key to future creativity.🤭🤣