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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.
Tesla has finally clarified the situation regarding the viral crash in Texas where a Model 3 slammed into a home.
CEO Elon Musk replied to reports on Monday that stated the crash was due to the company’s Full Self-Driving or Autopilot suite, which seemed unlikely to those who are familiar with it. Video showed the car slamming into a house at an excessive rate of speed, making it highly unlikely the crash was due to the suite’s operation, as it does not travel at those speeds in residential areas.
Musk said:
“This makes no sense. FSD drives slowly through neighborhood streets, and this was a high-speed crash!”
Tesla’s Head of AI, Ashok Elluswamy, added context, revealing that the company’s data shows the driver “manually overrode self-driving by pressing the accelerator all the way to 100%.”
He revealed the speed reached by the car was 73 MPH, and the accelerator was still pressed “even after the crash.”
Yup. In this case, the driver manually overrode self-driving by pressing the accelerator all the way to 100% of the accel pedal in this residential area. They reached a speed of 73 mph during the crash, and had the accelerator pressed even after the crash.
— Ashok Elluswamy (@aelluswamy) June 22, 2026
Authorities are reportedly investigating “whether Tesla’s Autopilot system played a role after a Model 3 left the roadway…slammed through a brick house at high speed and fatally struck Matha Avila as she sat inside,” the New York Post reported.
The National Highway Traffic Safety Administration (NHTSA) is now investigating the crash. Tesla will work with the agency to provide them with whatever information they need in order to clarify the cause of the crash.
Similarly, Tesla had claims of a fatal accident in Harris County, Texas, a few years ago. Early reports indicated that Full Self-Driving was the cause of the crash. After the National Transportation Safety Board (NTSB) worked with Tesla, the agency proved there was “no use of the Autopilot system at any time during this ownership period of the vehicle, including the time frame up to the last transmitted timestamp on April 17, 2021.”
Tesla alleged “driverless” crash in Texas: What is known so far
“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 have default speed limits of 30 MPH in residential streets.
This appears to be a similar situation. However, an investigation will prove what happened for sure.
SpaceX announced today that it commenced its first-ever public bond offering, marking a significant step in the newly public company’s capital markets strategy.
The company announced an offering of senior unsecured notes expected to raise at least $20 billion.
The move comes just a short time after SpaceX completed one of the largest initial public offerings in history. In mid-June, the company priced shares at $135 and raised more than $85 billion, propelling founder Elon Musk’s net worth past the trillion-dollar mark and giving the firm substantial liquidity.
🚨 SpaceX has announced its inaugural offering of senior unsecured notes.
The net proceeds will be used to repay outstanding loans under its bridge loan facility in full.
This inaugural debt offering represents a financing milestone for SpaceX, which previously depended… pic.twitter.com/pcOZuVbTRv
— TESLARATI (@Teslarati) June 22, 2026
According to the company’s SEC filing, the net proceeds from the notes will be used primarily to repay in full the outstanding borrowings under its existing bridge loan facility, cover related fees and expenses, and fund general corporate purposes. The offering is being conducted under Rule 144A, as well as Regulation S, targeting qualified institutional buyers and non-U.S. investors. Notes will be unsecured obligations ranking equally with other unsubordinated debt.
The $20 billion bridge loan was used to refinance approximately $17.5 billion in higher-cost “junk” debt tied to X and xAI. SpaceX had merged with xAI in February 2026 in an all-stock deal. The bridge facility, which matures in September 2027, had represented the bulk of SpaceX’s long-term debt.
SpaceX officially acquires xAI, merging rockets with AI expertise
In connection with the bond launch, SpaceX disclosed it held approximately $100.8 billion in cash and cash equivalents as of June 19. Investor calls began on the announcement date, with pricing and launch expected shortly thereafter. Rating agencies have assigned investment-grade ratings to the proposed bonds, reflecting confidence in SpaceX’s dominant position in commercial launches and the growth trajectory of its Starlink internet offering.
The debt raise also allows SpaceX to optimize its balance sheet by replacing short-term, higher-cost bridge financing with longer-date, lower-cost fixed-income securities. This provides greater financial flexibility to support capital-intensive initiatives, including the development of Starship, the expansion of the Starlink constellation, and the integration of AI capabilities following the xAI combination.
SpaceX shares (NASDAQ: SPCX) fell sharply on the news, dropping over 16 percent overall on the market on Monday. The stock had surged initially after debuting but pulled back amid profit-taking and broader market dynamics.
Overall, the bond offering underscores SpaceX’s transition to a mature public company with access to diverse funding sources. It positions the firm to pursue its long-term vision of multiplanetary expansion and AI infrastructure, while maintaining a disciplined approach to its capital structure in a high-growth but capital-heavy industry.
SpaceX confirmed today that it has officially signed its third massive compute deal, providing compute at its Colossus data center in Southaven, Mississippi.
Reflection AI will gain immediate access to NVIDIA GB300 chips at SpaceX’s Colossus 2 data center. In return, Reflection will pay SpaceX $150 million per month starting on July 1, with total payments reaching approximately $6.3 billion if the contract runs through its duration, which is until 2029. Either party can terminate the agreement with 90 days’ notice after the initial three-month period.
CNBC first reported the deal.
🚨 SpaceXAI has agreed to a new compute deal with Reflection AI.
Reflection gets access to NIVIDIA GB300s, and will pay $150M per month to SpaceXAI for the compute. pic.twitter.com/bNPare8U5u
— TESLARATI (@Teslarati) June 22, 2026
This latest partnership highlights SpaceX’s strategy of commercializing its massive Colossus supercomputing infrastructure, originally developed to power Elon Musk’s Grok AI models. The company has rapidly expanded its customer base in the AI sector following its February 2026 merger with xAI, a transaction that valued the combined entity at $1.25 trillion.
SpaceX has previously signed significant compute deals with other major players.
It granted Anthropic exclusive access to the full capacity of its Colossus 1 data center, which exceeds 300 megawatts and includes over 220,000 NVIDIA GPUs. Details from SpaceX’s IPO filings indicate Anthropic will pay $1.25 billion per month through May 2029, potentially generating around $45 billion over the term of the deal.
Additionally, Google agreed to pay SpaceX $920 million per month for compute capacity from October 2026 through June 2029. This 32-month period will provide Google access to roughly 110,000 NVIDIA GPUs, along with supporting processors and memory. Capacity ramps up through September at a reduced fee, with termination options after the first year.
SpaceXA also established arrangements for computing power with Cursor, an AI coding startup. SpaceX acquired them in a $60 billion all-stock deal.
These arrangements position SpaceX’s collective position as an AI infrastructure powerhouse with high-margin revenue potential. The Google deal alone could generate nearly $29.5 billion over its term, while the Reflection contract adds another $6.3 billion.
Combined with the Anthropic arrangement, SpaceX stands to realize tens of billions in revenue from compute leasing in the coming years, which diversifies beyond SpaceX’s traditional rocket launches and Starlink operation.
The deals underscore growing demand for advanced AI training and inference capacity amid chip shortages and surging model development needs. Reflection, valued at $25 billion and focused on “American open intelligence” with government and national security ties, cited recent restrictions on closed models as validation for open-source approaches.
For SpaceX, the partnerships transform capital-intensive data centers into flexible revenue sources while supporting its broader AI ambitions after the company has gone public.
Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration
SpaceX makes $20 billion move to optimize its balance sheet
