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Machines vs. people – who learns faster?

date: 26 January 2016
reading time: 2 min

While watching movies like E.T. or WALL-E, most of us had a sneaky thought – ‘What if these robots were real? Soon, we may be faced with such reality. Robots are to become a daily part of our lives, just like morning coffees.

Shortly, we may be in the presence of a breakthrough, where machines will not only be our everyday partners, but also may compete with us from time to time.

Right now, the human-machine relationship is simple – they are supposed to ease our everyday tasks. However, this is supposedly about to change.

Incredible growth

Gartner states that by 2018, 20% of all business content will be written or, should we say, produced by machines.

It is all due to the fact that people are, sadly, not efficient enough. Machines are able to manage incomparably more documents and messages than a human. This is why, future legal documents, press releases or articles will possibly be written by machines, which are bound to acquire a natural, human-like language.

Machine-generated content

It is said that marketing or advertising already use machines to produce content. Mostly because machines are able to show improved engagement, quicker responses, and better editing skills.

This is not all though, they are able to think ahead – basing content on data feeds, recommending certain sites basing on read content or even working on well-known patterns.

Automated generation of content also provides readers with presumably better quality, since it is usually based on their location or goings-on. Additionally, content is to be created quicker, hence, it will always be up-to-date.

It’s only a matter of time before we start reading articles without photos of their authors. However, let’s stop for a while and ask ourselves: is it a good move? Isn’t a human touch a necessity in today’s overly automated world? Will we be able to create a cooperative and harmonious relationship with machines? Well, soon we are bound to find it all out.


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