Indeed, it is quite clear that artificial intelligence is making strides in the realm of creative industries, such as art, sound and music production. This is primarily due to the precision with which AI algorithms can operate, allowing for rapid and accurate results. However, it is important to note that such precision comes at a cost. The massive computing power required for AI to process and replicate the minutiae of an image, for example, is not currently available.
Therefore, a compromise must be made. In order to circumvent the limitations of current computing power, AI developers have started to decrease the precision of their algorithms, a process known as “bit dropping”. This allows for a faster processing time, but at the expense of exact replication.
It is worth noting that this “close enough” approach is suitable for creative industries, where the final product is consumed by human senses and thus, a certain level of imprecision is acceptable. However, in fields such as finance, nuclear science and engine building, where precision is of the utmost importance, such an approach is not feasible.
In conclusion, while AI’s precision in creative industries is a boon, it is important to understand the limitations and compromises that come with it. The use of AI in other industries, where precision is crucial, must be approached with caution.
To summarize :
- AI is taking on creative jobs because it can produce results with a high degree of precision at a faster rate than humans.
- The precision of AI algorithms comes at the cost of significant computing power, which is currently not available.
- To overcome this limitation, AI developers have started to drop the precision of their algorithms, a process known as “bit dropping”.
- This “close enough” approach is suitable for creative industries, where the final product is consumed by human senses, but not for industries where precision is crucial.
- AI’s precision in creative industries is a boon, but it is important to understand the limitations and compromise that come with it.
- The use of AI in other industries, where precision is crucial, must be approached with caution.