Facebook secretive building 8 developing the worlds first brain computer interfaces

You're referring to the rumors surrounding Facebook's Building 8 research facility!

In 2016, Facebook acquired CTRL-labs, a neurotechnology startup, and began building a secretive research facility called Building 8. The facility is led by Regina Dugan, a former director of the Defense Advanced Research Projects Agency (DARPA), and is focused on developing advanced technologies, including brain-computer interfaces (BCIs).

BCIs are systems that allow people to control devices with their thoughts, using electroencephalography (EEG) or other techniques to read brain signals. The potential applications of BCIs are vast, including treating neurological disorders, enhancing human cognition, and even enabling people with paralysis or other motor disorders to communicate and interact with the world.

While Facebook has not publicly disclosed the specifics of its BCI research, rumors and leaks have suggested that Building 8 is working on developing a non-invasive, wearable BCI that can read brain signals and translate them into digital commands. This technology could potentially be used to control devices, such as smartphones or computers, with one's thoughts.

In 2017, Facebook filed a patent for a "brain-computer interface system" that uses EEG sensors to detect brain activity and translate it into digital signals. The patent described a system that could be used to control devices, such as a computer or a robot, using brain signals.

While Facebook has not publicly confirmed the development of a BCI, the company has made significant investments in the field and has hired experts in neuroscience, computer science, and engineering to work on the project.

It's worth noting that Facebook's BCI research is still in its early stages, and the company has not announced any plans to commercialize the technology in the near future. However, the potential implications of a non-invasive, wearable BCI are significant, and Facebook's research could potentially lead to breakthroughs in fields such as neuroscience, computer science, and medicine.