Really strong framing on the shift from prevention to detection. The confession mechanism feels like OpenAI admitting that you can't prevent every failure mode, so instead you create visibility at the point where something goes wrogn. What's intresting is that this approach assumes the model can accurately reflect on its own reasoning without introducing new biases or blindspots in that meta-layer. If the confession channel itself becomes unreliable, you've just added complexity without gaining signal.
What are the mechanics of the confession? For the LLM actually know how to extract its own answer generation path or is it still prone to hallucinating that confession?
Great article! Really clear breakdown of the different strategies firms are implementing to separate signal from noise and especially the insights on the specific approach that actually surfaced the real signal.
Really strong framing on the shift from prevention to detection. The confession mechanism feels like OpenAI admitting that you can't prevent every failure mode, so instead you create visibility at the point where something goes wrogn. What's intresting is that this approach assumes the model can accurately reflect on its own reasoning without introducing new biases or blindspots in that meta-layer. If the confession channel itself becomes unreliable, you've just added complexity without gaining signal.
What are the mechanics of the confession? For the LLM actually know how to extract its own answer generation path or is it still prone to hallucinating that confession?
Great article! Really clear breakdown of the different strategies firms are implementing to separate signal from noise and especially the insights on the specific approach that actually surfaced the real signal.