| >However it also fails in other areas quite spectacularly:
> Anything which requires logic
> Anything which requires actual understanding Not really the experience most people is getting at using AIs nowadays. It actually shows a high degree of understanding or plays mostly perfectly an internal process that leads to show what humans perceive continously as "understanding" stuff. In many scenarios shows a high degree of logical reasoning/thinking/pattern detection driven behavior. Again, whatever internal process used, is what humans usually think as "logic". Some processes are known, others are a bit black boxes yet, mainly because of the non deterministic stuff happening inside the models, I mean the reason behind why model produces a different output having been inputed the same prompt more than once. Not everything is mistery, most processes are known by now, they are "subproducts" of emergent mathematical structures inside the model's architecture, like when you take circle and you make it rotate around a point, you get a sphere. The emergent "sphere" would be the "logic" and "reason" behind the models. |