The first time Noland Arbaugh moved a computer cursor with his thoughts, he broke a world record.
It was his very first day with the Neuralink implant. He had been paralyzed from the shoulders down since a diving accident in 2016, and now, lying in a hospital bed at Barrow Neurological Institute in Phoenix, Arizona, he was doing something no human with a brain-computer interface had ever done. He beat the 2017 world record for speed and precision in cursor control [2]. The surgery that made it possible had taken just under two hours [2].
"I was completely blown away," Arbaugh later said of that moment. The achievement was not just a milestone for Neuralink, the company founded by Elon Musk in 2016, but for the entire field of brain-computer interfaces, a technology that has tantalized scientists and science fiction fans alike for decades but has remained largely confined to experimental laboratories.
How the Link Actually Works
The device living inside Arbaugh's skull is called the N1, a chip roughly the size of a coin, implanted in the motor cortex, the brain region responsible for planning and executing movement. From the chip extend 64 flexible threads, thinner than a human hair, containing 1,024 electrodes [4]. These electrodes sit among the neurons that once controlled Arbaugh's limbs, now reading the electrical signals those neurons fire when he imagines moving.
What happens next is a translation problem solved by machine learning. The implant processes those brain signals at a sampling rate of 30 kHz with end-to-end latency below 100 milliseconds [4]. A custom AI model running on Arbaugh's phone or computer interprets his brain patterns and translates them into commands the device can execute. When he imagines moving his hand, the system learns to recognize that pattern and convert it into cursor movement on screen [3].
The learning curve is steep but faster than many expected. After approximately two weeks of training, accuracy for primary actions exceeds 95 percent [4]. Arbaugh now uses the device about ten hours a day to study, read, game, and handle scheduling [2]. He connects to his devices via Bluetooth, the implant talking to an app on his phone or computer [3].
The First Eighty Days
For Arbaugh, the experience has been transformative in ways both mundane and profound. By day eighty with the implant, he was playing World of Warcraft using only neural control [1]. Not a simplified version. The real game, with all its complexity and coordination.
"I can just think about what I want to do, and it happens," he described. The simplicity of that sentence belies the extraordinary technological chain it represents, from thought to electricity to algorithm to action.
But the journey was not without setbacks. Approximately one month after surgery, some threads in the implant began to retract, reducing the number of effective electrodes to only about 15 percent [2]. This kind of complication is exactly what researchers worry about with any implantable device: the human body is not a stable environment. Tissue responds to foreign objects. Movement happens. The brain shifts.
Neuralink responded with software modifications that improved performance even with the reduced signal [2]. By July 2024, the remaining threads had stabilized [2]. The company credits its adaptive algorithms for maintaining functionality when the hardware footprint shrank. It is a reminder that in brain-computer interfaces, the software and hardware evolve together.
The device also requires charging approximately every five hours [2], which means Arbaugh builds his day around the implant's battery life, a logistics puzzle that nondisabled users never consider. But he has called it worth it. "My whole life has changed," he told Fortune more than a year post-surgery [2].
What Comes Next for the Industry
Arbaugh is not alone anymore. Since his surgery in late January 2024, eight more individuals have received Neuralink implants, including at least one woman, with two patients receiving their devices on the same day in late July 2024 [2]. Neuralink has received regulatory approval for trials across four countries: the United States, Canada, Great Britain, and the United Arab Emirates [2]. The company has publicly stated it aims to implant 20 to 30 more individuals during 2025 [2].
Globally, approximately 80 people have ever received a brain-computer interface device of any kind [2]. That number is tiny, but the trajectory is changing fast. Elon Musk announced in December 2025 that Neuralink will begin high-volume production of its interface devices in 2026, with automated surgical procedures designed to scale the implantation process [5]. If those plans hold, the gap between experimental therapy and accessible product could narrow significantly.
For now, the device remains limited to people with severe neurological conditions who qualify for clinical trials. But the underlying technology is improving on multiple fronts simultaneously: electrode count is increasing, surgical placement is becoming more precise, and the machine learning models that interpret brain signals are growing more accurate with every user [4].
The Privacy Question Nobody Is Asking Comfortably
Not everyone is focused on the engineering milestones. Professor Anil Seth, a neuroscience researcher at the University of Sussex, has raised concerns that rarely appear in Neuralink's own communications: when you export brain activity at the level Neuralink does, you are not just accessing actions, you are potentially accessing thoughts, beliefs, and feelings [3].
That is a different kind of risk, and it is one that will become more pressing as the devices become more capable and as more people begin living with them. The current regulatory framework for brain-computer interfaces is still taking shape, and it was largely designed around devices that did far less than what Neuralink's N1 chip can do.
For Arbaugh, the trade-off has been worthwhile. He enrolled in community college in Arizona, taking prerequisites toward a degree in neuroscience [2]. He plays Mario Kart, controls his television, and manages his schedule, tasks that sound ordinary until you remember he does them without moving his fingers. The device has not erased his disability, but it has given him new capabilities he describes as genuinely life-changing.
The question now is not whether brain-computer interfaces will become a significant technology. The evidence already says they will. The more interesting questions are about access, privacy, and what it means to have a chip in your brain that knows what you are thinking before you have fully thought it yourself.