A revolutionAIry way to understand the present and future of business.
By: Gianluca Amato, Lato Società Benefit
Tags: Gpt 3, Business Intelligence, Innovation, AI, Design Thinking

Photo by Tamara Gak on Unsplash

The problem is: there are tens of thousands of newsletters that cover every conceivable topic under the sun. A 24/7 news cycle makes it hard to separate signal from noise.

Finding that one piece of information you really care about, sometimes it feels like an impossible task. You could spend HOURS scouring the web just looking for it.

At Lato, we work tirelessly to combine high-quality research and insights into innovative methods to design our solutions.

That’s why we combined artificial and organic intelligence to create the world’s first human/GPT-3 written business newsletter.

Photo by Michael Dziedzic on Unsplash [Want to know more about GPT-3? Click here to read an article from Forbes]

We want to deliver to your feed unheard ideas, interesting reads, and fascinating stories that connects information about Business, Design Thinking and Innovation in a way (hopefully) never experienced before.

All that in a simple article delivered every couple of days, written in a friendly language, and combined with human-gathered context.

How do we do it?

Imagine this: inside GPT-3 there is A LOT of knowledge. A LOT.

GPT-3 studied from many, many things humans put on the internet. An enormous quantity of information that would require hundreds of lives, for a single human being, just to be read.

How the algorithm connects those pieces of information (not in a mathematical sense, but in a human logic sense)?

In ways that we simply don’t know. Yet.

But, since we started our tests six months ago, we can surely say that the results can be astonishing.

That’s what we want to discover (and deliver): these nuggets of original and fascinating connections, one at the time, in a simple article delivered to you.

We want to explore what’s buried deep into its model. We want to stress-test its ability to look at causes and consequences, problems and solutions (sometimes with terrifying accuracy, others in a silly way) in order to gather fresh insights on the hottest business topics.

Powered by humans and machines working together, we want to discover with you a new perspective on the present and future of business.

One of our wishes for this experimental series (that could become, in future, a newsletter) is for it to be interactive: leave your question or problem or point of view down in the comments, and we’ll “ask the machine” and produce the insight for you.

Photo by Taylor Vick on Unsplash

And, lastly, we know that you have a question. THE question.

How simple it is to write a newsletter with GPT-3? Is it really just a “press of a button” thing?

Although when you “press the button” a lot of words appear on the screen (and 1/3 of the time what appears make absolute sense) the answer to your question is simply: no. It’s not that easy.

Humans are, and always will be, required.

Because every single line that AI generates can be problematic in so many ways.

A text is not just a sequence of words. It is an intricate fabric of psychological, social and cultural narratives. GPT-3, being a probabilistic algorithm, is not exactly aware of the implications of what it’s writing (it is actually not aware of anything, the REAL good news here is just that the probabilistic outputs are comprehensible — even likeable — by humans).

So, even if the core of the article will be “thought” by the machine, at the beginning of every article we will write in what percentage it was actually written by a machine (and how much was added or edited by a human). Don’t expect this machine percentage to be much high: left the GPT-3 by itself, it (still) cannot produce an entire text that resembles what we call “an interesting article”. But that’s why we’re here.

So, if you’re interested or just curious about the new AI’s algorithm business potential, leave a comment below, follow us on Medium or Subscribe to our LinkedIn Page to receive every article of this series by clicking this.

We plan to test this experimental series with 10 issues and look at the response by the community.

Thanks for reading, and we can’t wait for your suggestions!