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Elon Musk’s Neuralink targets human trials for brain-machine interface in 2020

(Photo: Neuralink)

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After operating in stealth mode for the past two years, Neuralink, the brain-machine interface startup co-founded by SpaceX and Tesla CEO Elon Musk, has revealed some of the innovations that it has been developing. The company also announced that it is aiming to start implanting devices in humans by 2020, starting with paralyzed individuals who could then control phones or computers through their brain-machine implants. 

Neuralink focused on two innovations on Tuesday’s presentation. The first involved flexible “threads” that are incredibly thin, measuring between 4 and 6 μm or about 1/3 the diameter of human hair. These threads are capable of transferring high volumes of data, with a white paper published by the company hinting at “as many as 3,072 electrodes per array distributed across 96 threads.” With the threads being incredibly thin, they would not damage the brain. 

Another key technology revealed by Neuralink on its recent presentation was a custom made robot designed to embed implants into the brain. Thanks to computer vision and lenses, the robot will be able to place implants on patients without hitting or damaging blood vessels, reducing damage to the brain and scar tissue. Neuralink researcher Philip Sabes noted that “because these things are so thin and flexible, the idea is that they move with the tissue instead of tearing the tissue.”  

Neuralink’s robot used for inserting electrodes into the brain. (Photo: Neuralink)

Neuralink has performed at least 19 surgeries on animals with its robots, and so far, the machines have successfully placed the threads about 87% of the time. One of these subjects, a rather hefty rat that was shown off to the press, was fitted with a wired prototype of the company’s brain-machine interface. During the press demo, Sabes mentioned that the amount of data gathered from the rodent was about ten times greater than what is possible with today’s sensors. 

In his presentation, Elon Musk stated that the evolution of Neuralink’s tech would be gradual, though he did mention that the company’s goal is a form of “symbiosis” with technology. “It’s not going to be suddenly Neuralink will have this neural lace and start taking over people’s brains. This is going to sound pretty weird, but ultimately, we will achieve symbiosis with artificial intelligence. This is not a mandatory thing. It is a thing you can choose to have if you want. This is something that I think will be really important on a civilization-level scale,” he remarked. 

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While the technologies shared by Neuralink on Tuesday seemed borderline science fiction, Neuralink president Max Hodak noted that similar innovations have actually been introduced and implemented in the past. “Neuralink didn’t come out of nowhere; there’s a long history of academic research here. We’re, in the greatest sense, building on the shoulders of giants,” he said. Nevertheless, Neuralink’s goal of directly reading neural spikes in a minimally-intrusive way remains notably ambitious.

A concept of a wireless receiver for Neuralink’s brain-machine interface. (Photo: Neuralink)

The potential for such technologies is enormous. Implants such as BrainGate, which was developed initially at Brown University, were used in cases such as those of Matthew Nagle, who suffered from a spinal cord injury. Back in 2006, Nagle was able to learn how to use a computer using brain implants, at one point even playing Pong with his mind. In its presentation, Neuralink noted that its brain implants could be used for several individuals afflicted by Parkinson’s Disease, Dystonia, Epilepsy, OCD, Depression, Chronic Pain, and Tinnitus, among many. 

Yet, despite its impressive innovations and its lofty goals, it should be noted that Neuralink is still a long way from achieving its targets. Dr. Matthew MacDougall, head surgeon at Neuralink, mentioned this while discussing how Neuralink implants could be as seamless as Lasik in the future. “There is a whole FDA process we have to go though. We haven’t done that yet,” he said. 

So why the presentation? As noted by Elon Musk, Tuesday’s event is, at its core, an invitation for interested individuals who would like to work on the innovations that Neuralink is pursuing. With this open invitation, it would not be surprising if the company attracts an impressive number of talent in the near future. But now it’s time for you to vote. Will you be open to getting a brain-machine interface implant from Neuralink in the future?

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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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

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.

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.

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.

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.

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:

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:

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:

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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