2 ms·
Sure, but at least with encryption, someone can demonstrate how the result was reached, since the result is based on a formula. With AI, people seem perfectly h
by drivingmenuts 1y ago
Sure, but at least with encryption, someone can demonstrate how the result was reached, since the result is based on a formula. With AI, people seem perfectly happy to be building a black box and just hoping for good result.
We also don't abdicate our decision-making to encryption processes.
- danielmarkbruce 1y agoRead a little bit about key generation. We abdicate decision making to random processes in many places. Quant finance, all kinds of physical processes simulation and optimization where decisions are made in real time by systems (like oil refineries). And really, AI models are only black boxes in the aggregate. You can go through and understand every single calculation. You can understand it in training (except perhaps at initialization), you can understand it in inference (except perhaps if you want to use randomness in sampling). I'd suggest that Google Search pre-ML was a black box in the aggregate too... no one could really understand it all.