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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 reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
