How will machine learning shape the future of writing?

Machine learning is a widely used application of AI that allows programmes to learn from extensive datasets without being programmed manually.

It can replace, as the paragraph itself implies, certain writing tasks being automated, leading to job loss for low-cost/low-skilled writers.

Imagine this: it takes almost half a lifetime for a human being to read enough to be able to pick up the art of writing and then actually write and get published, let alone be exceptionally adept in it.

Human labour has value, and that is why we still patronise such labour.

If you cannot differentiate the text written by a human author from that written by a machine, would you be willing to pay for it as much as you did before?

Human creativity, apart from following others and learning certain strategies, also requires raw feelings and emotions.

The only hope I see for the near future is collaboration between machines and human writers where, rather than competing with each other, both would complement each other’s skills and continue to produce great reads.

This article was summarized automatically with AI / Article-Σ ™/ BuildR BOT™.

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