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Elon Musk’s Neuralink brain-machine interface is turning sci-fi into reality
Besides giving the world the option to switch to Tesla emissions-free electric cars and hopes of sending humans to Mars and beyond, Elon Musk also dreams of giving humans symbiosis with artificial intelligence through an implantable brain-machine interface created by Neuralink, a company he founded in 2016.
Neuralink is working on improving the basic structures of high-density Utah Array, a tiny chip that has become the industry benchmark for recording large populations of neurons. Dr. Richard Norman from the University of Utah invented the chip in 1997, which acts as an ultra-thin, flexible, and biocompatible polymer that connects the human brain to a tiny chip. During an event last year, Neurallink explained that the implant can be placed behind the ear and can interpret brain signals. Musk’s neural tech company has also invented a robot that can sew the implant to the brain with better precision than any human surgeon.
Wait until you see the next version vs what was presented last year. It’s *awesome*.
— Elon Musk (@elonmusk) February 3, 2020
So far, the brain-machine interface by Neuralink has reportedly helped a primate communicate with a computer interface. There are plans to install a prototype this year into a human. According to Musk, they are still on track to do this.
“It will ultimately be used to make up for entire lost sections of the brain due to stroke/accident/congenital. Don’t want to get too excited, but the potential is truly transformational for restoring brain & motor functions. There is no other way to do it imo,” Musk also wrote on Twitter.
The possibilities for Neuralink’s implant are endless. The symbiosis between humans and AI will be a long shot but Neuralink’s implantable device can pave the way for medical advancements that can help people with chronic neurological problems. Possible medical uses for Neuralink’s device in the future include controlling devices, restoring sensation, and synthetic speech.
CONTROLLING DEVICES
The brain is a complex network of nerves that uses impulses to sense the outside world and to control the human body. Neuralink will use these signals and amplify them so a patient can use them to be more functional. For example, someone with paralyzed upper extremity due to a stroke can have a brain-machine interface on the center of the brain that controls movements of the arm and hands which will help patients feed, dress, and generally function on their own.
Likewise, for someone who has an amputated limb, the Neuralink brain-machine interface will be able to communicate with a robotic arm to help someone use an artificial hand to write or use a computer. It can also be perfect for someone who needs to control a robotic leg to prop one up to stand without the help of anyone.
With a smart home setup, a paralyzed person who cannot clearly or is unable to speak and move can simply command a computer to dim the lights, turn on the air conditioner, or call someone if they need urgent attention.
While it might be a very long shot, these brain-machine interfaces interacting with other future technologies can also serve as bridges to parts of the body that are medically “disconnected”. For example, a patient with spinal cord injury has severed connections between the brain and parts of their body corresponding to the level their spinal cord was injured. The Neuralink implant can play pseudo stem cells that will provide the artificial connection so one can better function. Same for someone with multiple sclerosis whose nerves basically lose the sheath that makes them transmit electrical signals optimally.
“RESTORE” SENSATION
Just like how Neuralink can be exploited to help the brain control movement of a robotic arm, it is highly possible to tap into the sensory cortex of the brain. Sensation allows better manipulation of one’s environment and should be very helpful even when using robotic arms. One can tap the signals of the brain, send it to the brain-machine implant and to the robotic hand, for example, and back. If one grabs a glass of water, it can easily control the movement through space because the patient knows its shape, weight, texture, temperature, among other factors.
The Neuralink team also aims to use the brain-machine interface to “give back” one’s vision by tapping into the visual center of the brain.
SYNTHETIC SPEECH
With its ability to tap into specific signals of the brain, Neuralink also has the potential to create synthetic speech for people who are paralyzed or those with neurological conditions that do not allow them to speak.
These are just some of the things we can see Neuralink will be used for in the future. While all these seem to be fantastical, according to Neuralink, what they’re doing is not pulled from thin air but based on decades of neurological foundation.
Ultimately, with the dream of human-AI symbiosis, as more technologies develop, the use for Neuralink’s brain-machine implant will evolve. Elon Musk mentioned before that perhaps one day, it will be used for telepathic communication between humans or perhaps even drive a Tesla. Or perhaps, in the future, one can upgrade one’s knowledge and download terabytes of information with a blink of an eye through Starlink.
Elon Musk
Starlink passes 9 million active customers just weeks after hitting 8 million
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark.
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
9 million customers
In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day.
“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote.
That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.
Starlink’s momentum
Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.
Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future.
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NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.
NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”
Jim Fan’s hands-on FSD v14 impressions
Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14.
“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X.
Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”
The Physical Turing Test
The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning.
This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.
Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.
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Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.
New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.
Starlink passes 9 million active customers just weeks after hitting 8 million
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
