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Elon Musk’s Neuralink targets human trials for brain-machine interface in 2020
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 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.
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.
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?
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.
The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:
“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.
I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.
The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.
Hurry Mode Results
On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK— TESLARATI (@Teslarati) May 29, 2026
Mad Max Results
I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.
With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L— TESLARATI (@Teslarati) June 3, 2026
These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.
These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.
You can watch the full drive on YouTube below:
Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.
The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.
Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:
Unsupervised Robotaxi now in the entire Austin Metro area https://t.co/eXNBdarvVS
— Tesla Robotaxi (@robotaxi) June 3, 2026
This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.
It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.
The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.
Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.
The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.
It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.
It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.
Tesla piggybacks recent Supercharger feature with update that takes it further
Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it
