The AI ​​that reads your brain with an accuracy of 80%.

A future without privacy.

Have you imagined a future where Artificial Intelligence can decode thoughts and transform brain signals into words, Mark Zuckerberg's Meta has just revealed a historic breakthrough in using AI to decode brain activity, reconstructing sentences with up to 80% accuracy from non-invasive signals.

This scientific milestone could revolutionize communication for people with brain injuries, opening new possibilities for brain-computer interfaces and even bringing us closer to advanced machine intelligence. In the last 10 years, Meta's fair fundamental Ai research laboratory in collaboration with the best Center of cognition and Brain and Language has led research to understand how the human brain processes language.

Now the company announced two crucial advances that bring us closer to the AMI advanced phrase-coding machine intelligence with high precision, already using non-invasive brain recordings, scientists managed to reconstruct up to 80% of the characters typed by volunteers, frequently forming complete phrases and understanding the transformation of thoughts into words.

Advanced Technologies used.

The research revealed how the human brain organizes and encodes language, providing fundamental knowledge for the development of brain-computer interfaces such as Elon Musk's Neuralink. With this technology, millions of people who have lost the ability to communicate can have new hope in the future.

The research used non-invasive methods to record the brain activity of 35 healthy volunteers, while they stuck sentences at you, the technologies used were MEG magnetoencephalography, this measures the magnetic fields generated by neuronal activity and EEG electroencephalography records the electrical signals of the brain, a trained AI model, this is where it already learned to decode brain signals and reconstruct sentences with surprising precision.

The results showed that AI can map the brain in real time, transforming thought tracts and word sequences.

Applications in medicine.

Millions of people currently suffer with brain injuries and neurodegenerative diseases that prevent them from speaking and there are challenges to current solutions such as invasive methods such as brain implants that require complex surgeries.

Another challenge is low scalability, technologies such as electrocorticography are difficult to apply on a large scale, however, Meta's approach paves the way for completely non-invasive brain-computer interfaces that can restore communication to thousands of patients without the need for surgery. In addition to reconstructing sentences from brain signals, scientists will also unravel how the brain transforms thoughts into words and motor actions.

Among the main discoveries is the fact that the brain processes sentences as progressive sequences, from the abstract concept to the motor movements necessary to speak or type, there is a dynamic neural code that maintains presentations of words and actions simultaneously, allowing fluidity in communication.

These advances show that AI is not only useful for chatbots and social networks, but can play an essential role in the evolution of medicine and neuroscience and the discovery of Meta opens doors to a future where thoughts can be translated directly into words, revolutionizing communication and accelerating the development of advanced machine intelligence.