News
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.
Tesla is being sued by the family of the woman who was killed in a Texas crash involving a Model 3. The driver, who is also being sued, claimed the vehicle was operating on Autopilot mode, but Tesla executives have come out challenging that claim, stating that the driver of the vehicle overrode the system.
The lawsuit was filed by 76-year-old Martha Avila’s daughter and her husband, who allege a “design defect” involving a Tesla and a failure to warn. The suit alleges negligence against Tesla and the driver, Michael Butler.
Butler “stated he was operating with an automated driving assistance system engaged at the time of the crash,” the Harris County Sheriff’s Office said in a statement. He showed no signs of intoxication and was cooperative, the Sheriff’s Office said, according to NBC News.
Just after reports of the crash and numerous headlines that immediately blamed Tesla’s Autopilot suite, both Tesla CEO Elon Musk and Head of AI Ashok Elluswamy challenged that. Musk said the crash made “no sense” given that Tesla Autopilot and Full Self-Driving do not travel at the speeds the door cameras captured the car traveling at, which Tesla says was 73 MPH.
Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration
Elluswamy also revealed that Tesla data showed Butler overrode the system by pressing the accelerator to 100%, and that the pedal was compressed fully even after the car had crashed. Tesla has not released this data to the public, likely because it is communicating with agencies like the NHTSA on an investigation.
The suit uses a Washington Post analysis of government data that “identified at least 17 fatal incidents linked to Tesla Autopilot.”
This is far from the first time an accident has been blamed on Autopilot. A fatal crash in Texas was blamed on Autopilot several years ago, but when Tesla released data to the NTSB, which was investigating the crash, Autopilot was not available where the crash occurred, and Autosteer was never enabled, meaning the car was manually controlled at the time of the accident.
“Application of the accelerator pedal was found to be as high as 98.8 percent,” the NTSB said in their findings. The highest recorded speed in the five seconds leading up to the impact was 67 miles per hour. The area where the crash occurred is residential, and Texas State laws… pic.twitter.com/XGD97NHVZ2
— TESLARATI (@Teslarati) March 18, 2026
More information on the accident will be released as Tesla works with agencies to find the cause of the crash. From personal experience, it is hard to imagine Tesla Autopilot or FSD operating in this manner. It drives sometimes too cautiously in residential areas in parking lots, at least in my experience. Speeding happens, but at this rate in this type of area, it is hard to believe.
We look forward to more details being released with time.
The Insurance Institute for Highway Safety (IIHS) has awarded the 2025-2026 Tesla Cybertruck crew cab pickup its highest honor: Top Safety Pick+. This marks the Cybertruck as the only full-size pickup to achieve this distinction in recent evaluations.
The award applies specifically to vehicles built after April 2025, following structural upgrades including front underbody reinforcements and footwell modifications.
These changes enabled strong performance in updated crash tests. The Cybertruck earned “Good” ratings in the small overlap front (driver and passenger sides), updated moderate overlap front, and updated side tests—core requirements for the Top Safety Pick+ designation.
It also secured acceptable or good headlights across trims and a “Good” rating for its standard front crash prevention system in pedestrian scenarios, along with acceptable or good performance in vehicle-to-vehicle testing.
The Cybertruck avoided every single pedestrian collision, including:
- Daytime child crossing
- Nightitime adult crossing
- Night parallel adult
In IIHS pedestrian front crash prevention tests, @Cybertruck avoided every single collision – daytime, nighttime & different angles
It was also the only pickup to earn Top Safety Pick+ (highest award) in 2026https://t.co/BNPqT9TbsW pic.twitter.com/M6nwDisBFK
— Tesla (@Tesla) June 24, 2026
In the large pickup category, competitors such as the Toyota Tundra received only a standard Top Safety Pick, while the Ford F-150 and Ram 1500 did not qualify for either award. This positions the Cybertruck as a standout in occupant protection and crash avoidance among its peers.
Credit: IIHS
Ironically, the same vehicle celebrated for superior U.S. safety performance remains banned from public roads in the United Kingdom and much of Europe. Regulators there cite the Cybertruck’s sharp external edges and highly rigid stainless-steel construction as failing pedestrian-protection standards. European and UK rules require rounded surfaces on protruding parts to minimize injury risk in collisions with vulnerable road users.
Critics also point to the truck’s substantial weight and unyielding body structure, which some argue could transfer more force to other vehicles or pedestrians rather than absorbing it.
Tesla’s engineering philosophy underpins the Cybertruck’s strong IIHS results. The vehicle features a distinctive stainless-steel exoskeleton made from ultra-hard 30X cold-rolled stainless steel. This provides exceptional structural rigidity and a robust safety cage that resists deformation in side impacts and rollovers.
Engineers designed integrated load paths to channel crash forces away from the occupant compartment while allowing controlled energy absorption in key zones. Post-April 2025 refinements to the front underbody further optimized performance in overlap crashes.
Complementing the passive structure is Tesla’s advanced active safety suite, including the standard Collision Avoidance Assist system with automatic emergency braking. This contributed directly to the vehicle’s strong front crash prevention scores. The skateboard platform and low center of gravity also enhance stability and handling, reducing the likelihood of certain crashes.
The IIHS recognition highlights how Tesla’s combination of high-strength materials, structural innovation, and software-driven safety systems can deliver top-tier protection in rigorous testing. While global regulatory differences on design and pedestrian interaction continue to limit the Cybertruck’s availability outside North America, its U.S. safety credentials set a new benchmark for full-size pickups.
Elon Musk
SpaceX’s newest Starmind will make earth data centers obsolete
Elon Musk confirmed Starmind as SpaceX’s AI satellite constellation name, targeting one million orbital compute nodes.
Elon Musk confirmed that Starmind will be the official name of SpaceX’s planned AI satellite constellation, following a trademark filing by xAI that surfaced earlier this week. Starmind is what’s being described to the FCC as a constellation of up to one million AI satellites
It’s worth noting that SpaceX’s Starlink communication satellite and Starmind are built on the same orbital infrastructure concept but serve entirely different purposes. Starlink is a connectivity network, with satellites receiving and relaying data between points on Earth, and functioning as a high-speed internet backbone in space. The satellites themselves do not process or think, and move information from one place to another, the same function a fiber cable performs underground.
SpaceX just forced Verizon, AT&T and T-Mobile to team up for the first time in history
Starmind, on the other hand, is something completely different, and tather than moving data, its satellites would compute data through artificial intelligence and directly in orbit using onboard processors powered by large solar arrays. Where a Starlink satellite is essentially a very fast pipe, a Starmind satellite is a server. The practical implication is that Starmind would allow AI models to run inference, process queries, and generate outputs from space, then beam results down to users anywhere on Earth within milliseconds, and without the data ever needing to travel to a terrestrial data center.
Starship will be able to carry 30 to 50 AI1 satellites per launch, delivering the equivalent of dozens of server racks per flight, with no land acquisition, no power grid approval, and no cooling infrastructure required on the ground.
SpaceX is pursuing this new technology as terrestrial data centers are running into hard limits such as lack of physical space, community opposition, and power and water consumption at a scale that is increasingly difficult to permit. Space has unlimited solar power, natural vacuum cooling, and no zoning boards. Musk said in a June 8 video presentation that he expects space to become the lowest-cost location to deploy AI compute within two to three years. Two AI1 prototypes are scheduled to launch in early 2027, with volume production targeted for the end of that year at a new facility called Gigasat.
The real world applications Starmind enables extend well beyond powering Grok. A constellation of orbiting AI processors could run inference workloads for any paying customer, anywhere on Earth, with latency measured in milliseconds rather than the seconds associated with ground-based cloud routing across continents. Starmind, if it scales as described, would make SpaceX the landlord of AI compute the same way Starlink made it the landlord of satellite internet.
Tesla and driver sued by family of woman killed in Texas crash: what we know
Tesla Cybertruck is officially the safest pickup, IIHS says
