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Neuralink: Elon Musk’s vanguard against human obsolescence

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Neuralink, Musk’s brain-computer interface company, is in the process of expanding rapidly and has several new technical job openings on their website. There is heavy focus on applied engineering, particularly in the context of microelectromechanical systems (MEMS), also known as micromachines or “really tiny robots”, as I like to call them. Not only is this a rapidly growing field of study and application as of late, but MEMS as a priority implies that in the near term, Neuralink is structuring itself as an advanced nanotechnology incubator, with a focus on biocompatible (safe for humans) applications.

A traditional, state-of-the-art 100 electrode array. This is implanted directly into the brain by way of open-brain surgery. (Matthew McKee, Brown University)

MEMS have a fascinating history, often said to have begun with a famous lecture given by Richard Feynman in 1959. In it, he argued that it should be fundamentally possible to one day manipulate matter at an atomic level, to “arrange atoms the way we want”. All matter is composed of atomic structures, and such a capability would logically allow the creation of new materials and chemicals by mechanically altering atomic structures. Technology on this order would allow for the existence of science fiction standouts like true 3D printers capable of assembling almost anything conceivable (food, functioning electronic devices, clothing, pharmaceuticals, etc.) out of some form of basic input matter. That capability is of course purely theoretical and probably decades away from reality, but it offers an idea as to just how useful atomic manipulation could be in nearly every industry one can imagine.

For brain-computer interfaces (BCIs), the allure of MEMS or nano-EMS (NEMS) are obvious. Given small enough machines, one can imagine a sort of biocompatible dust that would naturally proliferate throughout the brain and body, likely by way of the bloodstream. Confused for nutrients or debris, many millions or billions of these tiny dust particles might embed themselves in the vast network of blood vessels throughout the human brain or be absorbed into neurons themselves. Add some sort of mesh network capability or an external device capable of interacting with the smart dust, and you have a vast, detailed method of recording and stimulating neural activity with something as simple as a few pills or injections and a smartphone-sized device.

The minds behind Neuralink

While even the narrower goal sketched above appears far fetched in many ways, the eight founding members of Neuralink have backgrounds that suggest the company will pursue precisely that architecture, often called “neural dust”. Several have conducted critical research into the many complex ways human brains integrate information necessary to move the body, among other things. Phillip Sabes, a professor of physiology at the University of California (San Francisco), has conducted research into the brain’s ability to “flexibly and adaptively integrate information from a variety of sources, from higher cognition to sensory and motor processing”. This information integration is a fundamental feature of all brain function.

Several other founders have experience in neuromorphic (brain-like) computer processors. Paul Merolla has been a central designer in almost every groundbreaking neuromorphic chip project, ranging from Stanford’s Neurogrid and IBM’s TrueNorth. In general, the study of neuromorphic computing hopes to package some of the incredible efficiencies and capabilities of brains into commercial products. Primarily, neuromorphic engineering attempts to replicate the behavior of biological neural networks in order to better understand them and, as a result, better understand how the human mind functions.

The lab Sabes runs has been recently exploring an array of topics, ranging from efforts to drastically improve researchers’ abilities to listen to neurons in the brain, to developing knowledge and technologies that could eventually provide natural movement and control through brain-machine interfaces (i.e. brain-controlled prosthetic limbs) by introducing artificial feedback. The argument his lab makes is that the unnatural look and feel of people using brain-interfaced prosthetics is likely a result of a lack of feedback in the artificial limbs, where real human limbs are typically directed with a combination of multiple senses like touch, temperature, pressure, and more. Possibly the most important conclusion is that through the work his lab does, they are “learning how to communicate with parts of the brain that don’t have a clear topology (location or distribution), which is most of the brain”. For Neuralink to have even a chance of successfully developing a “high bandwidth interface for the nervous system”, this knowledge will be crucial, given the fact that higher cognitive functions tend to be broadly distributed throughout the physical brain.

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Other members, like Tim Hanson, have spent the better part of a decade developing flexible, stable, and minimally-invasive alternatives to the rigid electrodes of today, which require inherently risky surgery to install. These flexible electrodes, capable of being more or less “injected” into the brain, have been successfully tested numerous times in animal subjects and are currently undergoing tests to ensure their longevity and resilience to the tough environment of living things.

Heading back to the concept of “neural dust” and other innovative methods of recording and stimulating neurons, another of the eight founders of Neuralink is Dr. Dongjin Seo, a central figure in the exploration of “neural dust”. Described as “ultra-miniature, untethered, wireless neural implants (‘Neural Dust’) for brain-machine interfaces”, Seo and several others have spent years developing the concept. Most recently, Seo and six other researchers successfully conducted testing in rats of a preliminary prototype of neural dust that was passive, wireless, and had no batteries. By powering the ‘dust motes’ with ultrasound while implanted in brain tissue, the researchers were able to produce detailed, accurate recordings of rat brain activity. This successful proof of concept occurred in 2016, and it is undoubtedly no coincidence that Seo was invited just months later to co-found Neuralink with Elon Musk.

 

While there is a vast amount of progress and miniaturization that must occur before anything approaching Musk’s aspirations is possible, the very fact that non-invasive neural recording and stimulation could be achievable in humans within a handful of years puts into doubt a great deal of specific criticism Neuralink and Musk have received since the reveal.

Bandwidth

Another difficulty in creating a “high bandwidth interface for the nervous system” lies in the high-bandwidth aspect of the endeavor. In order to functionally interact with an array of neurons, say even a million neurons, a vast amount of data will have to be transferred very rapidly, and wirelessly, back and forth between brains and computers. The creation of true, seamless BCIs will likely require observing and stimulating tens of millions to billions of neurons. If we assume that a single neuron would create around 5,000 bytes (5 kilobytes) of information per second, and we want to observe ten million neurons simultaneously, the bandwidth necessary can begin to reach well into the range of terabits (~120 gigabytes) per second. It’s possible that this issue can be circumvented by communicating and stimulating fewer neurons per second or solved with some form of compression between brain and computer, but it serves to illustrate the incredible scale of the brain and the difficulties of creating an interface worthy of the title “high bandwidth” in context.

It should thus come as no surprise that Dr. Seo has assisted in the development of extremely high bandwidth, short range wireless communications in the past. Every single member of the Neuralink team was aggressively vetted and narrowed down to a select few individuals who were experts in multiple highly complex fields each. Musk told that Wait But Why‘s Tim Urban that he likely personally interviewed or met with at least a thousand people before deciding upon the eight initial founding members. Many of the founders Musk originally approached left sought-after tenured positions at prestigious institutions to join Neuralink, and this speaks to Musk and Neuralink’s highly compelling goals.

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The human brain is thought to contain as many as 100 billion neurons, at least 20% of which are relevant to the higher-level cognition that is unique to humans, and possibly a trillion or more glial cells which may play a far more significant role in cognition than previously thought. Ahead of Neuralink and the brilliant team are numerous vast and undeniably daunting challenges. As they have before, they will continue to peer deep within the abysses of human consciousness and attempt to progress our understanding of ourselves. Whether they succeed or fail, they will do so for the sake of the future of humanity; endeavoring to improve upon a chaotic natural marvel and hoping to ensure competition in the face of artificial intelligence that will know no biological bounds.

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Tesla teases “Halloween Mode” update with Optimus rising from a graveyard

Tesla’s Halloween teaser hides a covered vehicle and an Optimus hand rising from the ground.

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Tesla has started teasing a Halloween software update for its vehicles, with  a short clip on X that reads, “Halloween is coming.” The clip opens on a glowing pumpkin before pulling back to the car’s center touchscreen, where the usual parked visualization has been replaced by a graveyard scene, and the vehicle draped with a white sheet so it reads as a cartoon ghost.

The second detail is a robotic hand clawing its way out of the dirt like a zombie, which looks to be the hand of Tesla’s latest Optimus V3 humanoid robot. While Tesla still has not formally shown Optimus Gen 3 walking around in service, renders pulled from Tesla’s Android app last month gave the clearest look yet, including far more refined hands that Tesla has said carry 22 degrees of freedom. The hand has been the hardest part of the program. Musk has called it the majority of the robot’s engineering difficulty, and Tesla’s patents describe a design driven by tendons with the actuators moved into the forearm.

Tesla Optimus V3 hand and arm details revealed in new patents

Optimus also has a Halloween track record. Last October the robot handed out candy in Times Square, and a costumed “zombie” Optimus shuffled around the Tesla Diner in Los Angeles on Halloween night.

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On the software side, Tesla’s 2025 Holiday Update expanded Santa Mode with a Santa sleigh, snowmen, snow effects, and a festive lock chime, so it wouldn’t be too far fetched if we saw something similar but themed for a  Halloween Mode.

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Tesla’s newest feature lets you floor it out of a Supercharger while plugged in

Tesla’s new Emergency Drive Away feature lets owners flee a Supercharger while still plugged in.

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Tesla has given drivers a way to escape while a vehicle is plugged-in at a Supercharger, in the event of an emergency. The company’s charging team announced a new feature on X called Emergency Drive Away, which lets a driver shift into Drive and pull away while the charging cable is still connected to the car.

Until now, a Tesla would not leave Park with a charge cable plugged in. Drivers had to release the latch from the touchscreen, the Tesla app, or the button on the charge handle, then wait for the port to let go. Emergency Drive Away removes that lockout, but Tesla is clear that it comes at a cost. “Use of this feature will damage your vehicle and the Supercharger,” the company wrote, adding that the function is meant for emergencies only and that deliberate misuse will lead to “additional penalties.” Tesla did not say what those penalties are.


The in-car prompt is just as direct, with the warning reading: “Driving with the cable connected will cause damage to your vehicle and the Supercharger. Short camera recordings will be shared with Tesla.” That footage gives Tesla a way to separate a real emergency from someone who simply did not want to wait for the latch.

The feature requires software update 2026.38.3, and Tesla said in replies to owners that it works at every Supercharger in the United States without new stall hardware. Model S and Model X vehicles built before 2021 are not supported, and the company says the feature applies to U.S. Superchargers “for now,” leaving Canada and other markets out at launch.

Tesla Supercharger argument leads to tragic shooting incident

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Tesla did not tie the announcement to any specific event, but it arrives two months after a gunman opened fire at an In-N-Out in Twin Falls, Idaho, on August 1, targeting three people in two Teslas at the neighboring Supercharger. One of them, a 66 year old man from Salt Lake City, was killed. Superchargers have been the scene of violence before, including a fatal shooting at a station near Denver in 2023.

In the weeks after Twin Falls, owners pushed Tesla for a native way to escape a stall, and many pointed back to EVject, the aftermarket breakaway connector Tesla sued in 2024 over claims it lacked overtemperature protection. The two companies later reached an agreement that led EVject to recall its earlier connectors in favor of a version with thermal sensors.

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Watch Tesla’s “guardian angel” FSD feature take over for collision evasion

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Tesla’s Automatic Collision Evasion feature can be seen in one of the first owner videos of it in action.

Tesla owner Spencer (@scotsrule08) posted on Monday that the feature “worked flawlessly,” saying FSD reengaged itself just as he was about to hit a curb. Ashok Elluswamy, who leads Tesla’s AI team, shared the clip and wrote, “A guardian angel always looking out for you.”

The video arrives in the middle of a staged rollout. Tesla first shipped Automatic Collision Evasion with FSD (Supervised) v14.3.9 in software update 2026.27.6 earlier this month, which Teslarati covered as it reached cars. Update 2026.27.10, which began going out on September 19, carried the feature improvements with FSD v14.3.10, according to release notes tracked by Not a Tesla App. The newer 2026.27.11 build is now reaching another wave of vehicles.


The feature only runs on HW4 vehicles, and it requires an active FSD purchase or subscription with both FSD (Supervised) and Automatic Emergency Braking enabled. HW3 owners receive FSD v14.2 Lite in the same updates, but that build does not include collision evasion.

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Tesla’s release notes describe two triggers. The first is an imminent frontal collision that braking alone may not prevent, in which case the car can activate FSD to steer, brake or accelerate around the hazard. That scenario is limited to highways below 85 mph, with no pedestrians or cyclists detected and no slippery road surface. The second covers a driver who appears inattentive, such as reaching into the back seat, or who seems to have switched off FSD by accident. Spencer’s curb clip appears to fall into that second category.

Tesla plans big safety improvements for Full Self-Driving v15

Once the system takes over, the accelerator is muted and light brake input will not cancel the maneuver. Drivers need to apply firm, deliberate steering force to take back control, and the car chimes to hand control back once the danger has passed.

Elluswamy recently noted that earlier hazard prediction, faster reaction time and better collision avoidance would arrive with FSD v15, the next major version.

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