How I beat ChatGPT by Drinking Coffee (and you can too)

For one week Chis Stone has been doing an experiment.

All his posts for one week was written by ChatGPT.

Even the pictures used in his posts were generated by its sibling, Dall.E.

Chris let the ChatGPT take over his LinkedIn account because he wanted to see if AI could generate meaningful interactions and deliver value on LinkedIn.

As you can see in the above screenshot, Chris's posts got very little traction and that's because it has very little real-world human experience.

Now compare it with the stories that I post on a daily basis on LinkedIn.

The language is simple and diction is not great.

But it gets a lot of traction.

I think its because of the human insights in each post and the story like format that I use.

The images used are often simple selfies with a human touch.

But my post got 363 likes while the post written by ChatGPT got 13 likes.

That is 2692% more likes than ChatGPT.

I jokingly say that you can sit down.

Drink a cup of coffee.

And make a post that can be seen by thousands of people by end of day.

Simply because we have accumulated so much experience and real life insights that is too advanced for any existing AI to duplicate.

Each of us has a perspective and an opinion formed over the years through education, experience, emotion, social influences and human interactions.

When we start conveying our thoughts, other humans can pick it up quickly because they have a similar wave length.

Probably when AI tools start talking to each other they will have their own wave length too.

So, does all of this make ChatGPT completely useless? Of course not.

ChatGPT and other similar models are going to spearhead hyperautomation and AI innovations.

It will form part of architectural solutions that automate, augment humans and autonomously execute business and IT processes.

ChatGPT has opened up an entire industry called Prompt Engineering and it can be used in conjunction with other technologies as part of a workflow.

These workflows can be created manually or by using screen scrape and robotic process automation technologies.

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