Elon Musk’s Neuralink demo shows a brain-machine interface in action - Vox.com

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Neuralink, the mysterious neuroscience company backed by Elon Musk, is expected to reveal more details about its plans to connect computers to human brains on Friday. While the development of this futuristic-sounding tech is still in its early stages, the presentation is expected to demonstrate the second version of a small, robotic device that inserts tiny electrode threads through the skull and into the brain. Musk says he’ll “show neurons firing in real-time. The matrix in the matrix.”

Like building underground car tunnels and sending private rockets to Mars, this Musk-backed endeavor is incredibly ambitious, but it builds on years of research into brain-machine interfaces. A brain-machine interface is technology that allows for a device, like a computer, to interact and communicate with a brain. Neuralink, in particular, aims to build an incredibly powerful brain-machine interface, a device with the power to handle lots of data that can be inserted in a relatively simple surgery. Its short term goal is to build a device that can help people with specific health conditions.

The actual status of Neuralink’s research is somewhat murky, and Friday’s big announcement comes as ex-employees complain of internal chaos at the company. Musk has already said the project allowed a monkey to control a computer device with its mind, and as the New York Times reported in 2019, Neuralink has demonstrated a system with 1,500 electrodes connected to a lab rat. Since then, Musk has hinted at the company’s progress (at times on Twitter), though those involved have generally been close-lipped about the status of the research.

Of course, we’ll probably find out a bit more during Friday’s demo. Neuralink says it will post a link to a livestream of the demo on its website just before before the demo starts at 6 pm ET.

It’s worth highlighting that Musk wants Neuralink to do far more than treat specific health conditions. He sees the technology as an opportunity to build a widely available brain-computer interface for consumers, which he thinks could help humans keep pace with increasingly powerful artificial intelligence.

So while modest, Neuralink’s research already foreshadows how this technology could one day change life as we know it. At the same time, it’s a reminder that the potential, eventual merging of humans with computers is destined to introduce a wide range of ethical and social questions that we should probably start thinking about now.

Founded in 2016, Neuralink is a neuroscience technology company focused on building systems with super-thin threads that carry electrodes. When implanted into a brain, these threads would form a high-capacity channel for a computer to communicate with the brain, a system supposed to be much more powerful than the existing brain-machine interfaces being researched.

One major barrier to inserting these incredibly tiny wires, which are thinner than a strand of human hair, is actually getting them past the skull and into the brain. That’s why Neuralink is also developing an incredibly small robot that actually “connects” humans and the electrodes. Eventually, the idea is to make the surgery about as intensive as a Lasik eye procedure. That, at least, is the goal.

“We’ve been connecting forms of computers to brains for 20 or 30 years already,” Nolan Williams, the director of Stanford’s Brain Stimulation Lab, told Recode, referencing deep stimulation used for patients with Parkinson’s as one example of connecting a brain and a computer.

“The brain itself uses certain frequencies and certain kinds of electrical thresholding to communicate with itself,” Williams explained. “Your brain is a series of circuits that kind of intercommunicate and communicate between themselves.”

Essentially, a brain-machine interface can use the electricity the brain already uses to function along with a series of electrodes to connect the brain with a machine. Neuralink cites previous examples in which humans have used electrodes to control cursors and robotic limbs with their minds as the basis for its system. But what’s novel about Neuralink’s plan is making the process of connecting a device with the brain minimal, while also massively increasing the number of electrodes engaged. Essentially, the idea is to make brain-machine interfaces not only easier to install but also more powerful.

The research is still in early stages and, as it advances, will likely require focusing on how the technology can help people with specific, severe health conditions first, according to Stanford neurosurgery professor Maheen Adamson. While the medical applications of such technology could be wide-ranging, moving it from its current, nascent state will require the close oversight of the Food and Drug Administration, which would not comment specifically on Neuralink.

But Neuralink’s plans go beyond treating specific conditions. The company has said it hopes to allow people to “preserve and enhance” their brains and to “create a well-aligned future.” While that might not sound like a particular pressing need to the average person, the project fits into Musk’s long-standing concerns about artificial intelligence. Musk has previously said the technology could be more dangerous than nuclear weapons, and warned that AI could become too powerful, too quickly, preventing humans from keeping it in check.

The ultimate goal for Neuralink, Musk explained at a 2019 launch event, is a “full brain-machine interface” that will achieve a “symbiosis with artificial intelligence.” But again, that is still far off.

Neuralink and Musk are not the only ones interested in brain-machine interfaces. Facebook, for instance, is hard at work on its own brain-machine interface research with the University of California, San Francisco. The company has its eye on creating a “hands-free” way of communicating with computers and has shared some very preliminary results. Last year, Facebook also purchased CTRL-Labs, a startup that developed technology that measures neuron activity through a wearable worn on the arm, in order to control digital activity.

Then there’s ongoing medical research, which is more common than you might think.

“This is something that is done today,” Steven Chase, of Carnegie Mellon’s Neuroscience Institute, told Recode. “There are clinical trials ongoing right now, where quadriplegic patients have electrodes implanted in their brains, and they use those electrodes and the neural activity recorded on those electrodes to control external devices, such as cursors on computer screens or robotic arms.”

In fact, some of the first medical research into such technology came in the second half of the 20th century, and to some extent, brain-machine interfaces currently exist with limited capabilities. The 1980s saw the invention of both deep brain stimulation and what’s called transcranial magnetic stimulation, which, according to the Mayo Clinic, uses “magnetic fields to stimulate nerve cells in the brain,” which can be used for patients with depression.

In the early 2000s came BrainGate, an experimental device that uses an array of electrodes to essentially translate the desire to move limbs from the brain to a device, which is still being researched. The FDA in 2013 approved a system called the RNS Simulator that fires small, electrical signals into the brain to stop seizures for some patients with epilepsy.

Already, there are some rudimentary commercial devices that loosely do something like a brain-machine interface. There are headbands that claim to use EEGs to measure your brain activity and then use that data to do anything from enhancing meditation to piloting a drone. Of course, these applications are far from the technology Neuralink aims to provide. But it may give a hint at what our future might look like: two years ago, DARPA used an experimental brain-computer interface, a surgical microchip, that allowed a paralyzed person to navigate simulated aircraft.

“The idea of sort of sending complex thoughts wirelessly around the world is far, far, far away beyond our lifetime,” said Tim Marler, a senior research engineer at RAND. “This is definitely not science fiction. It will be mature and practical and commercial eventually, but there’s a lot of work to be done still.”

There is a huge technical divide between what’s currently possible in today’s research laboratories and the concept Musk envisions, which requires devices that can handle a significant amount of information going in and out of the brain. One broader hope for brain-machine-interface technology is that it could ultimately help people with paralysis to complete daily tasks on their own. As Chase, from Carnegie Mellon, explained, “The biggest thing these patients want is independence; this technology has the potential to offer them that.”

But in addition to the technological challenges, the development of brain-machine interfaces also ventures into uncharted ethical and legal territory. On Thursday, the government-funded think tank RAND issued a report on the need for policies around the use of brain-machine interfaces within the military context, where the technology could introduce new concerns like widespread hacking. Of course, with devices that can essentially strip data out of your own mind — including about peoples’ psychological and emotional states — the privacy implications of brain-machine interfaces are also enormous.

“If brain-reading devices have the ability to read the content of thoughts, in the years to come governments will be interested in using this tech for interrogations and investigations,” neuroscience-focused researcher Marcello Ienca told Vox last year.

The list of challenges goes on. Chase raises another concerning scenario: a world in which this technology is only available to the wealthy, creating an extreme technological divide. And then, there are the unanticipated health risks of — you know — surgically inserting computer hardware into human brains.

While there’s no reason to worry too much about that right now, Neuralink’s next big announcement is a sign that the idea of connecting human brains to computers on a more regular basis is quickly becoming a reality.

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