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In the beginning, let's face it, we had a blast playing with generative AI.
There are those who have created hundreds of avatars of themselves out of vanity, those who have improvised themselves as illustrators and those who have sensed the business, have started studying to become a new genre of generative artist.
Someone spent the Christmas holidays conversing with Open Ai's ChatGPT, others sat down on the couch as if in front of a psychoanalyst, many limited themselves to questioning him as if he were a child.
But most have used it to discover new things to learn. In some cases it worked.
But then the anxiety set in. Because after years of expected revolutions such as the metaverse, the blockchain or self-driving cars, after mobile phones and tablets that are more beautiful every year but almost always all the same, something new was needed that worked.
Artificial intelligence in 2022 was a surprise. Starting with image generators such as Dall-E 2, Midjourney and Stable Diffusion.
So much so that some traditional artists are even shot the boxes. Not for the theoretical competition with the "machine".
But having someone who knows how to copy the style of others very well and produces continuously is not the best of life for a content producer.
Thousands of messages have appeared on social networks with pieces of conversation where we read blunders, gender stereotypes and math errors. And all this just to say that AI is not omniscient.
Who doesn't know everything, which we already knew. There are even those who have imagined a new world order of the Web no longer dominated by search engines, but by these chatbots that dialogue with you and provide more articulated answers.
But what no one did was try to understand the "fundamentals" of this phenomenon as a financial analyst.
How do they work, how much do they cost? Or to be more direct: how do you make money with these tools?
No one has figured it out yet. According to some observers, these tools will soon replace search engines.
The new version of Microsoft's Bing, which could arrive as early as March 2023, will make use of the AI technology behind ChatGPT for certain search keywords.
But to be usable, these algorithms should be able to guarantee a very high level of accuracy in the answers they return.
It's not like this today. There is the issue of energy costs.
As Sam Altman, CEO of OpenAI admitted, when they reach one million users, the costs for maintaining and managing the system are very high.
In the case of ChatGPT we know that it is hosted on Microsoft's Azure cloud.
On the web, they calculated based on Microsoft's cloud costs that each word generated on ChatGPT costs $0.0003. It means burning at least 3 million a month for management costs.
Sooner or later someone will have to start finding a business model and a price for these services. Until then Google can rest easy.
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