“Turning Thoughts into Text: Revolutionary Artificial Intelligence Breakthrough”

Can you imagine if your thoughts could be turned into texts? For this possibility is no longer just in your imagination, but in real life.

Recently, a group of scientists from the University of Texas developed an artificial intelligence capable of decoding thoughts and transforming them into coherent texts. The project was so successful that the research ended up being published in the prestigious scientific journal Nature Neuroscience.

During the presentation of the project in the magazine, the scientists responded that this technology could represent a great opportunity for people who cannot communicate verbally, such as those who have some type of paralysis.

Now, imagine being able to communicate with the world using only your thoughts, without needing the physical ability to speak or write. Surreal, isn’t it?

This technological advance can be a milestone in the history of human communication and offer new perspectives for people with physical limitations.

This new project was called semantic decoder. Furthermore, in its composition, according to the CNBCthere is a kind of transformer, equipment that can normally be found in artificial intelligences such as ChatGPT, created by the company OpenAI.

Innovation without surgery

The good news doesn’t stop there, because the best thing about all this technology is that there is no need to perform any surgical procedure to use such resources, that is, the individual will only have to learn and practice to use the resource.

But, after all, how was the experiment process, the one in which there was a need to practice using the decoder, and how was this done? The training, it seems, only required listening to a few podcasts.

Yes, and after the whole procedure is finished, the person can put into practice the creation of texts from the moment a conversation is heard or starts to develop a new narrative in his mind.

Not everything is flowers…

However, it is worth noting that this artificial intelligence still has some problems, such as not correctly understanding an individual’s thoughts.

An example of this is when the phrase “I still don’t have my driver’s license” was said, but what intelligence understood and translated was “She hasn’t even started to learn to drive yet”.