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A lot of the AI discussion is still framed around capability: Can it write? Can it code? Can it replace people? But I keep wondering whether the deeper problem is not intelligence, but responsibility. We are building systems that can generate text, images, music, and decisions at scale. But who is actually responsible for what comes out of that chain? Not legally only, but structurally, culturally, and practically. Who decided? Who approved? Who carries the outcome once generation is distributed across prompts, models, edits, tools, and workflows? It seems to me that a lot of current debate is still asking: “What can AI do?” But maybe the more important question is: “What kind of responsibility structure has to exist around systems that can do this much?” Curious how people here think abou...

Dataset Model Acc F1 Δ vs Log Δ vs Static Avg Params Peak Params Steps Infer ms Size Banking77-20 Logistic TF-IDF 92.37% 0.9230 +0.00pp +0.76pp 64,940 64,940 0.00M 0.473 1.000x Static Seed 91.61% 0.9164 -0.76pp +0.00pp 52,052 52,052 94.56M 0.264 0.801x Dynamic Seed Distill 93.53% 0.9357 +1.17pp +1.92pp 12,648 16,881 70.46M 0.232 0.195x CLINC150 | Logistic TF-IDF | 97.00% | 0.9701 | +0.00pp | +1.78pp | 41,020 | 41,020 | 0.00M | 0.000 | 1.000x | Static Seed | 95.22% | 0.9521 | -1.78pp | +0.00pp | 52,052 | 52,052 | 66.80M | 0.302 | 1.269x | Dynamic Seed | 94.78% | 0.9485 | -2.22pp | -0.44pp | 10,092 | 10,136 | 28.41M | 0.324 | 0.246x | Dynamic Seed Distill | 95.44% | 0.9544 | -1.56pp | +0.22pp | 9,956 | 9,956 | 32.69M | 0.255 | 0.243x HWU64 | Logistic TF-IDF | 87.94% | 0.8725 | +...