What will 2023 be like? Now you can ask robots too

Google-Forscher hält neue Dialog-KI für ein lebendiges Wesen

The forecasts of the weekly “The Economist” for the coming year have long been a must. The novelty is that in the group of experts consulted by the British newspaper for the anticipations on 2023 there is a new entry that does not go unnoticed. It’s called GPT-2 , it’s an artificial intelligence machine created by the Californian research laboratory OpenAI, and it has been trained with 40 gigabytes of text collected on the Internet.

A kind of Oracle of Delphi in Big data format that the weekly interviewed about the news that await us. And if it is fairly obvious that for GPT-2 the most revolutionary technology of the future will be precisely artificial intelligence , destined “to replace men in finance and medicine”, it is appreciable that the robot has unbalanced itself on the most difficult and expected forecast for 2023, the US presidential election: “Donald Trump will be defeated”. Who will win is not known, the “Economist” did not ask him, perhaps so as not to strangle the algorithm of forecasts and burn it forever. 

On the other hand, even the prophecies of the experts in flesh and blood seem made to be proven wrong. The idea that technological innovation is marching at an exponential rate (in both Moore’s and Metcalfe’s Law variants) makes one risky predictions that are often regretted. We are so used to talking about “disruption” that we end up forging ahead and imagining a world that does not (yet) exist. 

How was the world of 2023 seen just a few years ago? In a famous 1997 article on Wired , innovation experts Peter Schwartz and Peter Leyden wrote that in 2023 man would land on Mars (today NASA researchers speak of 2030 as a difficult but possible goal). In the book “The Singularity is Near: When Humans Transcend Biology” (2005), scientist Ray Kurzweil wrote that after 2023 humans would no longer need to feed, thanks to nanorobots able to enter the bloodstream to feed cells. and extract the waste.

A few years ago Ariane Van de Ven, Telefonica Digital’s Global Trends Expert predicted that in 2020 robots would replace psychoanalysts, personal secretaries and even friends, while the think tank Rand Corporation ventured that by this year intelligent animals like monkeys would be able to perform manual tasks such as house cleaning, cutting plants or driving the car.

And if the great science fiction writer Arthur C. Clarke, collaborator on the screenplay of “2001 A Space Odyssey”, believed that in 2023 the houses could be lifted and moved in the air, a bit like in the Pixar film “Up”, just a few years ago, industrial innovation expert Michael J. O’Farrell, founder of The Mobile Institute, announced for 2023 the “nano mobility era” that would make teleportation and telepathy possible. They haven’t gotten there yet. 

Perhaps Dave Evans, chief futurologist of Cisco Visual Networking, was right, who in an interview with “Mashable” a few years ago announced that futurology would be wiped out: in 2020, he said, we will have so much information and algorithms like this sophisticated that it will be normal for people to make analyzes and forecasts. This is not exactly the case: to anticipate the future we will increasingly need robots and artificial intelligence, also because the human intelligence of the so-called experts seems to have some problems. 

Perhaps this is why, indicating the 20 top tech trends of 2023, the ” Guardian ” also included negative forecasts, such as the market launch of the first self-driving car (Tesla), the arrival in Europe of the Duplex assistant Google, Apple’s new augmented reality glasses or the worldwide success of a new social network like Tik Tok.

The perfect tweet? Artificial intelligence writes it :

The perfect tweet? The viral Instagram post? The maximum profit on the e-commerce platform? Evolutionary clusters in the Crm field? It is Ailyn, the first predictive artificial intelligence able to directly and autonomously create effective contents in Italian, developing the perfect man-machine collaboration, the man-chine learning.

An artificial intelligence that is humanly and ethically sustainable, therefore, which finds its key to understanding the ability to increase human intelligence, supporting and amplifying it without replacing it.

Ailyn automates all the phases of analysis, identification of the correct and most effective theme, writes the most suitable content and which will become the work base on which human intelligence will intervene.

Assistant for the Social Media Manager and for Digital. The marketer who, just like the expert in elaboration of strategies and contents for social, e-commerce and Crm platforms, manages to elaborate and propose contents after having analyzed, studied and systematized a significant amount of data, excluding the less relevant.

Every day 4.57 billion active users on the internet produce over 2.5 quintillion bytes (1.000.0005). In this hyper-connected world, which sees the speed of data production on the network increase daily, Ailyn is able to learn entire ecosystems of interest and, subsequently, to support humans both in strategic decisions and in directing operational activities.

Thanks to the learning potential of her AI, in fact, Ailyn produces the most suitable content to achieve maximum performance, identifies the right theme on which to create the tweet, the post on Instagram, the perfect offer to be proposed for e-commerce, the correct cluster for the Crm and realizes it, proposing it to the human professional, who will validate it and then spread it or implement it. Furthermore, his Intelligence is able to “read” and summarize entire complex writings, such as articles, for example, by elaborating and writing summary texts. In short, this is the automation of the production of press reviews and newsletters, built on the information needs of the individual.

Ailyn – born from an all-Italian start-up, founded by the Roncaglia Group, by Tembo and by a group of professionals including Daniele Chieffi and Alessandro Luciani – from the places of relationship (social networks) to those of transaction (eCommerce), analyzes the choices of users on various platforms in order to predict and anticipate trends, so as to build scenarios and contents together with humans that can obtain a better engagement with the target audience, the maximum percentage of the conversion rate and shorten the times of reaction of companies in making decisions related to behavioral trends.

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