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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.

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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.

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.

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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 makes the cut on California’s newest EV Rebate program

California just signed a $270 million EV rebate into law and it starts this summer.

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California Governor Gavin Newsom signed SB 168 into law on Monday, July 13, 2026, creating a $270 million EV rebate program that delivers money directly at the dealership rather than as a tax credit applied months later. The program, called MyFirstEV, is funded equally by California’s state budget and participating automakers, with each contributing $135.5 million to make the math work.

The timing is directly tied to the loss of federal support when the $7,500 federal EV tax credit ended, removing the most significant consumer incentive that had driven EV adoption in the U.S. California, which accounts for roughly one-third of all EVs sold nationally, moved to fill that gap with a state-level replacement.

The rebate structure is straightforward. First-time EV buyers can receive $3,500 off any new battery-electric vehicle with an MSRP up to $50,000. Used EVs priced at $25,000 or below qualify for a $1,750 rebate. The credit is applied at the point of sale, which removes the friction of the old federal system where buyers had to wait for tax season to see the benefit. The program goes live later this summer, with the California Air Resources Board expected to release full participation details next month.

California hits Tesla Cybercab and Robotaxi driverless cars with new law

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For Tesla buyers, the implications are mixed. The Tesla Model 3 RWD at $42,490 and the Model 3 Long Range at $47,490 both fall under the $50,000 cap and would qualify for the full $3,500 rebate for first-time buyers. The Model Y, which starts at $44,990 after Tesla’s recent price adjustment, also qualifies. The Model X, Model S, and Cybertruck all exceed the cap and receive no benefit. As Teslarati has reported, the program also includes a carve-out exempting California-based automakers like Rivian and Lucid from the price cap entirely, a provision that puts Tesla at a disadvantage since it relocated its headquarters to Texas in 2021.

Other qualifying vehicles include the Chevrolet Equinox EV, Ford Mustang Mach-E, Hyundai Ioniq 5, Kia EV6, and Volkswagen ID.4.

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Tesla FSD is about to know your specific house and neighborhood better than any map

Tesla confirmed it is building a feature that lets you teach your car where to go.

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Tesla FSD 14.3 [Credit: TESLARATI)

Tesla is building a feature that will let drivers talk to their car in plain language and teach it exactly what to do, with the vehicle remembering those instructions for every future trip. Tesla VP of AI Software Ashok Elluswamy confirmed it this week on X after a user pointed out one of FSD’s most persistent real-world limitations is that the system has no way to receive contextual instructions the way a human driver would.

“FSD would be twice as useful in neighborhoods if I could actually talk to the car and tell it which driveway to pull into, the same way I would with a person driving me home. Right now, there isn’t really an input for telling Tesla what color the house is or giving it specific context like that. Google Maps is also notorious for putting pins on houses that aren’t actually yours.” Tesla owner Chris further noted, “It would be so cool if I could talk to the car while going down my street and say something like, ‘It’s the white house on the left, just past that SUV,’ and then have FSD remember that for next time.”

This feature would carry more weight than it might seem. Grok has been available inside Tesla vehicles since July 2025, expanded to European vehicles in February 2026, and gained a hands-free “Hey Grok” wake word with location-based reminders and natural-language navigation in the Spring 2026 update. But up to this point, Grok has had no authority over how FSD actually drives. Lane changes, braking, speed, and parking maneuvers remain entirely within FSD’s autonomous decision-making loop. What Elluswamy confirmed is that the next step pushes Grok into a supervisor role, one that translates spoken intent directly into driving decisions.

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

Elluswamy acknowledged at a January 2026 conference that while fully integrated voice control is on Tesla’s roadmap, “it opens up an entire area of testing that we have to do. For example, you shouldn’t be able to tell the car to crash, and it shouldn’t crash.” Elon Musk subsequently confirmed on June 23 that Grok voice commands will pass to FSD’s planning layer by September 2026, a three month timeline from confirmation to deployment.

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The deeper significance is what this does for Tesla’s AI training flywheel. Every time an owner corrects FSD with a spoken instruction and the car learns and remembers it, that interaction becomes a data point covering an edge case that no simulation or scripted test could have generated. A fleet of millions of Tesla vehicles crowdsourcing hyper-local contextual knowledge, which driveway, which gate entrance, which side of the street, builds a layer of geographic and behavioral intelligence that competitors without a comparable fleet simply cannot replicate at the same speed or scale.

As Teslarati has reported, Tesla’s Cybercab and robotaxi operations have expanded to Miami following the Austin launch, with rider profiles already collecting preference data. Voice-taught contextual instructions linked to individual rider profiles means a Cybercab could eventually know before it arrives exactly which entrance to use, where to wait, and how to navigate the final hundred feet of any trip it has made before.

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Tesla app update makes Robotaxi ownership make a lot more sense

Tesla’s app now shows a live indicator when your car is actively driving itself.

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A recent Tesla app update, released last week  (4.58.5), gives visibility on whether a vehicle is navigating in its semi-autonomous mode or being driven by a human driver. The updated app now displays a live “Self-Driving” indicator in bright blue text directly beneath the vehicle’s speed readout whenever Full Self-Driving is actively engaged, along with the signature glowing blue navigation path that FSD users see on the main touchscreen. It is a small visual update with meaningful implications for how Tesla owners monitor their vehicles remotely.

The feature was first spotted in the wild by X user Jordan Camina, who shared video of a Hardware 3 Model S displaying the new animation through the app while driving. That detail is significant because it confirms the update is not limited to newer HW4 vehicles. It works across hardware generations, and Tesla confirmed it will eventually support all vehicles regardless of chip platform once both the app and vehicle software are updated. The vehicle side requires software version 2026.20.6.1, which has reached nearly 40% of the fleet so far, as monitored by NotaTeslaApp.

The feature makes the most practical sense when viewed through the lens of Tesla’s expanding robotaxi operation. In a robotaxi context, the owner of a vehicle generating ride revenue has a direct financial and safety interest in knowing whether their car is operating under autonomous control at any given moment. The app’s new FSD indicator gives fleet owners exactly that visibility, the same way a logistics company monitors whether a delivery driver is following the planned route. It also carries implications for Tesla’s insurance model. Tesla’s own insurance product prices premiums in part based on FSD engagement rates, and real-time visibility into when FSD is active creates a feedback loop that could eventually tie directly into policy pricing. For individual owners who have opted their personal vehicles into the robotaxi network, the update effectively turns the Tesla app into a fleet management dashboard, one that tells you whether your car is earning money, whether it is driving itself to do it, and whether everything is operating the way it should from wherever you happen to be.

Tesla expands Robotaxi to Florida, marking its third state for autonomy

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As Teslarati has reported, Tesla launched unsupervised robotaxi rides in Miami this summer, a milestone that makes a remote FSD status indicator significantly more practical than a cosmetic feature. When a vehicle is operating as a robotaxi without a driver present, the owner or fleet operator needs a reliable way to confirm autonomy is engaged. The app now provides exactly that.

As noted by NotATeslaApp, The update also arrived alongside a hint buried in the same app version that Tesla plans to use the cabin camera to verify driver identity before FSD can be activated. Pairing identity verification with a live autonomy status indicator points toward the infrastructure Tesla is building for a fleet of driverless vehicles that owners can monitor the way you would track a package delivery.

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