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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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How to use Grok Bot to block spam calls and texts

Musk told users to ask Grok Bot to scrub their phone numbers from spam lists.

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Elon Musk has a new use case for Grok Bot, and it is the spam call. On Thursday he replied to an X user named Arash with a short instruction: “Ask your @Grok @Bot to remove your phone number from spam call & text lists!” Arash had said he got tired of the calls, had an AI bot find his number on listing sites and file removal requests, and packaged the process as a free skill for others.

The skill is called Spam-Call Scrubber, which is described to find a phone number on people search sites and data brokers, submits the opt outs, completes the confirmation emails those sites send back, and rechecks on a schedule the user picks. Using it requires the Grok Bot app. The pitch is time saved, since most broker opt outs sit behind separate forms on separate sites.



Musk said Grok Bot now gives each bot its own email address, and that it can detect scam emails. On Thursday he also said SpaceX would make users whole if the bot botches a purchase or leaks a card, then told users to shop away from Amazon after the retailer blocked the agent, as Teslarati reported. The terms of service we reviewed at the time put responsibility for what an agent does on the user.

For Tesla owners, Grok Bot is not just a phone app. Tesla brought Grok Bot into its vehicles on September 22, and we argued earlier this week that the Cybercab’s real advantage may be the errands it runs during a ride. Every Cybercab and the rest of the Model Y Robotaxi fleet has it enabled. The more routine tasks like this one become, the more a rider has reason to hand over something personal in the back seat.

The new Spam-Call Scrubber skill can be downloaded for free and works on sites that honor removal requests, while noting that listings can reappear, and illegal robocallers do not check any registry. Whether Spam-Call Scrubber cuts anyone’s call volume is something the first wave of users will find out, and Musk’s endorsement guarantees that wave is coming.

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Tesla Cybercab and Robotaxi’s real advantage won’t be the ride service

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Concept art of a Tesla Cybercab in Las Vegas Strip as rendered via Grok

For a century, the car has asked the same thing of its owner, which is basically to pay attention. Even the best ride-hailing app like Uber or Lyft only moved the problem into someone else’s hands. You stopped driving, but you still sat in a stranger’s car, while half listening, and wondering whether to take a phone call in the car without being rude. The Cybercab has no wheel, no pedals and no driver. With Grok @bot now live inside it, it becomes something else entirely, and I think that matters more than the fleet count that everyone is tracking.

Grok @bot is an agent, not a voice assistant. A rider signs in once, and from then on can say what they need and watch it happen. Order dinner from a favorite restaurant. Fill the grocery cart. Move money, answer email, adjust a calendar, push a work project forward. Tesla engineer Yun-Ta Tsai confirmed it is enabled across every Cybercab and the rest of the Model Y fleet, and Tesla’s own pitch is that Full Self-Driving handles the commute while Grok handles the errands.

Think about what that does to a thirty minute ride. Uber sells you a trip, while Waymo sells you the same trip in a more private setting. Tesla is selling the thirty minutes themselves, returned to you with an assistant attached. Errands that used to eat a Saturday get done between pickup and drop off. The ride stops being dead time between two places and becomes a place of its own.

Tesla integrates Grok Bot into its vehicles for the ultimate personal assistant

Best of all, your Bots follow you into any Cybercab, and presumably your own Tesla, then logs you out automatically when you step out. Anyone can bolt a chatbot onto a screen, but much harder to own the vehicle, the autonomy stack and the assistant at once. It also quietly ties SpaceX’s Super Intelligence business to Tesla’s fleet, after Tesla converted its xAI stake into SpaceX equity. The relationship between those two companies is getting harder to describe as separate.

This is also where the hard questions start, because an agent that can spend your money in a vehicle other people also ride in needs some answers. How does it handle a voice it shouldn’t trust? What gets recorded, who can see it, and for how long? What happens when a rider leaves halfway through a task?

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If Tesla gets those answers right, the scoreboard changes. We have been counting Cybercabs and wait times. The more telling number may be what riders accomplish per trip. That is data almost no one else will ever have, and it is the real reason to watch Grok @bot.

What do you think? Leave me a comment.

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Tesla’s mirrorless Cybercab will give riders a visibility upgrade

Tesla engineer confirms Cybercab update letting riders pull up rear and repeater cameras on demand.

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Tesla Cybercab camera visibility for passengers (Credit: Dan Burkland via X)
Tesla Cybercab camera visibility for passengers (Credit: Dan Burkland via X)

Tesla is working on a Cybercab update that would let passengers pull up the vehicle’s rear and side cameras on demand, and the request came straight from a rider.

The exchange played out on X late Friday. Cybercab rider Dan Burkland shared photos of the two-seater’s cabin screen after an evening ride, praised the UI team’s work, and left one request: let riders open the rear and repeater cameras whenever they want, “especially for peace of mind.” Tesla UI software engineer Evan (@CarCoder) answered with two words: “In development.”

The idea fits a pattern Teslarati has tracked since public rides began. Days after paid Cybercab service opened in Austin, Tesla sent riders a survey that asked them to rate the touchscreen, the app and the cabin, and to pick the features they wanted most. We reported on that survey in September, and a camera view is the kind of small software change Tesla can push quickly if riders keep asking.

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It also speaks to something unique about the vehicle. With no steering wheel, no pedals and no driver, passengers have no mirror to check and no way to see behind them. The hardware is clearly built for camera awareness, from the repeater cameras to the rear camera. Letting a passenger look through those same cameras would give a nervous first time rider a way to confirm what is around the car.

The timing matters because the fleet is growing fast. Tesla’s Robotaxi account said on Saturday that more than 300 Cybercabs are now serving Austin, an eightfold increase in 30 days, and Tesla AI chief Ashok Elluswamy named Dallas as the next city. More cars and more cities mean more people riding in a driverless vehicle for the first time, which is exactly when small trust features carry weight.

For now, the feature is confirmed only as in development. If Tesla follows its usual pattern with Cybercab software, riders could see it appear in a point release without any announcement, and Teslarati will watch for it.

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