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Elon Musk’s Neuralink brain-machine interface is turning sci-fi into reality

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Besides giving the world the option to switch to Tesla emissions-free electric cars and hopes of sending humans to Mars and beyond, Elon Musk also dreams of giving humans symbiosis with artificial intelligence through an implantable brain-machine interface created by Neuralink, a company he founded in 2016.

Neuralink is working on improving the basic structures of high-density Utah Array, a tiny chip that has become the industry benchmark for recording large populations of neurons. Dr. Richard Norman from the University of Utah invented the chip in 1997, which acts as an ultra-thin, flexible, and biocompatible polymer that connects the human brain to a tiny chip. During an event last year, Neurallink explained that the implant can be placed behind the ear and can interpret brain signals. Musk’s neural tech company has also invented a robot that can sew the implant to the brain with better precision than any human surgeon.

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So far, the brain-machine interface by Neuralink has reportedly helped a primate communicate with a computer interface. There are plans to install a prototype this year into a human. According to Musk, they are still on track to do this.

It will ultimately be used to make up for entire lost sections of the brain due to stroke/accident/congenital. Don’t want to get too excited, but the potential is truly transformational for restoring brain & motor functions. There is no other way to do it imo,” Musk also wrote on Twitter.

The possibilities for Neuralink’s implant are endless. The symbiosis between humans and AI will be a long shot but Neuralink’s implantable device can pave the way for medical advancements that can help people with chronic neurological problems.  Possible medical uses for Neuralink’s device in the future include controlling devices, restoring sensation, and synthetic speech.

CONTROLLING DEVICES

The brain is a complex network of nerves that uses impulses to sense the outside world and to control the human body. Neuralink will use these signals and amplify them so a patient can use them to be more functional. For example, someone with paralyzed upper extremity due to a stroke can have a brain-machine interface on the center of the brain that controls movements of the arm and hands which will help patients feed, dress, and generally function on their own.

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Likewise, for someone who has an amputated limb, the Neuralink brain-machine interface will be able to communicate with a robotic arm to help someone use an artificial hand to write or use a computer. It can also be perfect for someone who needs to control a robotic leg to prop one up to stand without the help of anyone.

With a smart home setup, a paralyzed person who cannot clearly or is unable to speak and move can simply command a computer to dim the lights, turn on the air conditioner, or call someone if they need urgent attention.

While it might be a very long shot, these brain-machine interfaces interacting with other future technologies can also serve as bridges to parts of the body that are medically “disconnected”. For example, a patient with spinal cord injury has severed connections between the brain and parts of their body corresponding to the level their spinal cord was injured. The Neuralink implant can play pseudo stem cells that will provide the artificial connection so one can better function. Same for someone with multiple sclerosis whose nerves basically lose the sheath that makes them transmit electrical signals optimally.

“RESTORE” SENSATION

Just like how Neuralink can be exploited to help the brain control movement of a robotic arm, it is highly possible to tap into the sensory cortex of the brain. Sensation allows better manipulation of one’s environment and should be very helpful even when using robotic arms. One can tap the signals of the brain, send it to the brain-machine implant and to the robotic hand, for example, and back. If one grabs a glass of water, it can easily control the movement through space because the patient knows its shape, weight, texture, temperature, among other factors.

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The Neuralink team also aims to use the brain-machine interface to “give back” one’s vision by tapping into the visual center of the brain.

SYNTHETIC SPEECH

With its ability to tap into specific signals of the brain, Neuralink also has the potential to create synthetic speech for people who are paralyzed or those with neurological conditions that do not allow them to speak.

These are just some of the things we can see Neuralink will be used for in the future. While all these seem to be fantastical, according to Neuralink, what they’re doing is not pulled from thin air but based on decades of neurological foundation.

Ultimately, with the dream of human-AI symbiosis, as more technologies develop, the use for Neuralink’s brain-machine implant will evolve. Elon Musk mentioned before that perhaps one day, it will be used for telepathic communication between humans or perhaps even drive a Tesla. Or perhaps, in the future, one can upgrade one’s knowledge and download terabytes of information with a blink of an eye through Starlink.

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A curious soul who keeps wondering how Elon Musk, Tesla, electric cars, and clean energy technologies will shape the future, or do we really need to escape to Mars.

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Tesla faces Full Self-Driving pushback in EU over ‘speeding’

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Credit: Tesla

A new report from Reuters claims that a transport authority in Sweden is pushing back against the approval of Tesla’s Full Self-Driving suite because it will travel over speed limits.

The report says the Swedish Transport Administration (TRV) recommends the European Union votes against FSD’s approval. TRV believes it should not be approved until Tesla disables FSD’s ability to speed.

TRV sent a letter to the European Union’s Technical Committee on Motor Vehicles (TCMV), which is set to meet on June 30 to discuss the potential approval of the Tesla FSD suite in the country. Tesla, which has received various approvals in Europe over the past two months, has not provided a comment.

Tesla Full Self-Driving gets first-ever European approval

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Teslas operating on FSD do travel over the speed limit, depending on the Speed Profile that is chosen. Drivers have the ability to disengage FSD at any point; Tesla specifically states that those supervising the suite are responsible for its actions.

Let’s cut to the chase: humans operating any vehicle speed almost daily in the United States. Realistically, speed limits in the U.S. are more frequently treated as speed minimums. However, other countries are different, and driving behaviors are less aggressive.

TRV believes that “allowing automated systems to systematically exceed legal speed limits…risks undermining both the legal framework and the expected safety benefits of ​vehicle automation,” the report stated. It’s surprising that Tesla has not received this claim from other countries previously.

This could be a good argument to bring Max Speed back, the setting that previously allowed the driver to choose the absolute fastest the car would travel.

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This would still put the responsibility of supervision in the hands of the driver. It would allow the driver to choose whether the car would travel over the speed limit or not, acknowledging that they set the speed, and if they get pulled over, there would be no ability to argue it.

However, it does not seem as if this is something Tesla will do, especially considering many U.S. drivers have requested the feature in an effort to eliminate speeding or at least tone it down. The company has not shown any interest in bringing it back.

Tesla has approvals for FSD in Europe in Estonia, Lithuania, Denmark, the Netherlands, and Belgium.

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Tesla teases greater Grok FSD integration and ‘Banish’ feature ‘in about 3 months’

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Credit: Tesla

Tesla is going to let you guide Full Self-Driving with Grok in 3 months, CEO Elon Musk confirmed on X.

The response from Musk, which revealed Tesla plans to allow drivers to effectively control the car and its navigation more explicitly using Grok, puts the feature for about September.

A Tesla owner said that Full Self-Driving is great, but owners should be able to “converse with Grok like we can with an Uber driver.” She then used examples like, “Grok, turn right here,” and “Drop us off right here, we’ll walk due to traffic,” and finally,” Drop at entrance first, then park far away.”

Coincidentally, the final piece of dialogue would also mean features like Banish are potentially on the way soon.

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Banish is also referred to as “Reverse Summon,” and would enable the car to self-park while dropping occupants off at their destination.

This would be a great way to improve the overall experience while supervising FSD. Navigation is already a major painpoint that many owners complain about. Manual overrides when a maneuver is requested or canceled (like using the turn signal stalk to override a navigation route), do not always work.

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The feature could be especially useful in street parking scenarios in a city, where spots are sometimes tough to come by. Many of us who grab dinner in a more populated area will park a street or two over from wherever we’re going, because sometimes you know that’s the best you will get. If a driver using FSD could say, “Hey Grok, turn right here on Queen St. and park in that open spot on the right,” it could save a lot of confusion FSD might have on its own.

Musk teased that a similar feature was “coming” back in February:

Tesla Full Self-Driving set to get an awesome new feature, Elon Musk says

It is certainly surprising that Tesla is doing it at this point. The company’s more recent moves have been more evident of taking control and inputs away from humans and putting them in the AI’s hands more frequently. The biggest example of this was taking away Max Speed in AI4 cars, giving us Speed Profiles, and not having any input on the fastest speed the car will travel.

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Of course, giving navigation preferences to Grok is availble already in Teslas, but not at the drop of a hat. Instead, you can suggest a certain route at the beginning of your drive.

Here’s an example of that from December:

Finally, the original post that Musk responded to mentioned a parking preference after dropping off the occupants, which describes the Banish feature that Tesla has teased for years.

We’re not sure if Musk was responding more to the ability to guide the car with Grok, or whether he also was including Banish in the three-month prediction timeframe.

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Tesla Cybercab has one important piece that AI4 cars might need for FSD

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Credit: @tpgoebel | X

A close-up image of a Cybercab engineering vehicle in Peabody, Massachusetts, reveals a compact triangular side repeater camera housing equipped with an integrated washer mechanism.

This seemingly small hardware addition could prove to be one of the most critical components for achieving reliable, unsupervised Full Self-Driving (FSD) — not just for the dedicated Robotaxi but potentially for existing AI4-equipped vehicles as well.

The washer system’s importance cannot be overstated in Tesla’s vision-only autonomy approach. Cameras are the sole sensory input for the neural networks powering FSD, constantly interpreting the environment for safe navigation. In real-world conditions, however, lenses quickly accumulate rain, snow, mud, dust, or road spray.

Many of us Tesla owners, especially those who deal with any sort of winter weather at all, know the all-too-common alert that pops up when cameras are obstructed:

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Even brief obstructions can drop perception confidence, trigger safety disengagements, or force the vehicle to pull over, although these are relatively rare. Instead, most of the time, the camera will need a wipe from the owner next time they stop the car.

But unlike human drivers who can manually clear their view, a Robotaxi operating 24/7 without a steering wheel or mirrors must maintain pristine vision autonomously. The Cybercab’s side repeater washer delivers targeted cleaning bursts precisely where needed for merging, lane changes, and blind-spot monitoring — functions that demand uninterrupted visibility from the external cameras:

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This hardware directly tackles a known pain point in current FSD deployments. Owners frequently report camera-related alerts during inclement weather, which is understandable, but needs to be solved for a true autonomous experience.

For a production Robotaxi fleet aiming for high utilization and minimal downtime, robust washer systems represent a foundational reliability upgrade; essentially, they’re a must-have. Early sightings suggest the design may extend to rear cameras as well, creating a comprehensive cleaning architecture that keeps the entire vision suite operational in harsh environments.

Without it, even the most advanced neural nets struggle when their “eyes” are compromised.

What Does This Mean for AI4 Cars?

This Cybercab detail raises timely questions for AI4 cars already on the road. While Hardware 4 delivers superior compute and camera resolution compared to earlier versions, production models typically lack dedicated side and rear washers. Tesla has included them on Model Y robotaxis that it is using in the fleet:

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Tesla Robotaxi has a highly-requested hardware feature not available on typical Model Ys

As Tesla refines unsupervised FSD for broader release, the gap in environmental resilience becomes evident. Software improvements can help mitigate issues, but they cannot fully replace physical cleaning in heavy rain or muddy conditions. Analysts and owners increasingly speculate that AI4 vehicles may eventually require similar washer retrofits — or a future AI4.5 variant — to match the Cybercab’s all-weather readiness and support the same level of autonomy.

As testing progresses, the Cybercab’s washer mechanism highlights Tesla’s pragmatic focus on real-world robustness. It may well become the hardware piece that determines how quickly and reliably FSD scales from prototypes to everyday vehicles.

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