News
Elon Musk’s Neuralink unveils sleek V0.9 device, uses sassy pigs for live brain machine demo
After another year of successfully staying in the shadows, Elon Musk’s Neuralink has revealed what’s been going on behind the scenes in terms of technological progress. In a live streamed event on Friday afternoon, the brain-machine interface company gave a demonstration, took questions, and left audiences with even more to mull over than ever.
“The primary purpose of this demo is recruiting,” Musk stated at the very beginning of the presentation. He emphasized that everyone at some point in their life will face a brain or spine problem – all inherently electrical – meaning it takes electrical solutions to solve electrical problems. Neuralink’s goals are to solve these problems for anyone who wants them solved, and that application will be simple and reversible with no negative effects.
Two pigs were used for the ‘real-time’ demonstration promised in the days leading up to the event. The first, named Gertrude, had a Neuralink implant installed for two months and was shown to be healthy and happy. A second pig, named Dorothy, had the implant previously installed and removed with no side effects afterward.
- Elon Musk shows off the Neuralink v0.9 Device (Credit: Neuralink)
After a bit of a delay from the amusingly sassy Neuralink-implanted pigs, the live stream and in-house audience witnessed Gertrude’s device in action. Notably, the neural implants could predict all the limb movements of the pigs based on the neural activity being read. Each reading was shown on a screen and musical notes attached as the data was processed.
Overall, here are some of the main takeaways from the presentation.
- The Neuralink implant device has been dramatically simplified since Summer 2019. Its design will be very low profile and nearly invisible on the outside, leaving only a small scar that could be covered by hair. “It’s like a FitBit in your skull with tiny wires,” Musk half-joked. “I could have it right now and you wouldn’t even know. Maybe I do!”
- The implant device is inductively charged, much like wireless smartphones are charged. It will also have functions that are akin to those available on smartwatches today.
- A “smart” robot installs the device, which requires engineering talent to accomplish, hence the recruiting focus of the Neuralink event. The “V2” robot featured in this year’s presentation looks like a step up from last year’s machine.
- The electrodes are installed without general anesthesia, no bleeding, and no noticeable damage. The currently developed robot has done all the current implant installations to date.
- The implant can be installed and removed without any side effects.
- You can have multiple Neuralink devices implanted and they will work seamlessly.
- The implant device would have an application linked to your phones.
- Neuralink received a ‘breakthrough device’ designation from the FDA in July, and the company is working with the agency to make the technology as safe as possible.
- The device will eventually be able to be sewn deeper within the brain, thereby having access to a greater range of functions beyond the upper cortex. Examples are motor function, depression, and addiction.
- Getting a Neuralink should take less than an hour, without the need for general anesthesia. Users could have the surgery done in the morning and go home later during the day.
- Credit: Neuralink
- Credit: Neuralink
The idea for Musk’s AI-focused brain venture first seemed to really take off after his appearance at Vox Media’s Recode Code Conference in 2016. The CEO had discussed the concept of a neural lace device on several occasions up to that point and suggested at the conference that he might be willing to tackle the challenge himself. A few months later, he revealed that he was in fact working on the idea, which was detailed at great length by Tim Urban on his website Wait But Why.
“He started Neuralink to accelerate our pace into the Wizard Era—into a world where he says that ‘everyone who wants to have this AI extension of themselves could have one, so there would be billions of individual human-AI symbiotes who, collectively, make decisions about the future.’ A world where AI really could be of the people, by the people, for the people,” Urban summarized. Given that bigger picture perspective, the 2020 Neuralink event seems even more impactful.
Neuralink’s official Twitter account opened the virtual floor to questions using the #askneuralink hashtag the night before the event, prompting several questions during the presentation. However, Musk fanned the building curiosity in the hours beforehand. “Giant gap between experimental medical device for use only in patients with extreme medical problems & widespread consumer use. This is way harder than making a small number of prototypes,” Musk responded to one question directed towards the mass market viability of a future Neuralink product line.
https://twitter.com/flcnhvy/status/1299422178329362437
Also in the days prior to the Neuralink event, Musk teased a few more bits of information about what to expect. “Live webcast of working @Neuralink device,” he said. Just prior to his confirmation of the device demonstration, he revealed that version two of the robot initially shown in the first progress update in 2019 wasn’t quite up to the level of a LASIK eye surgery machine, though only a few years away.
You can watch the full event below:
Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
Investor's Corner
Tesla (TSLA) Q1 2026 earnings results: beat on EPS and revenues
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
- Revenues – $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow – $1.444 billion
- Profit – $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
News
SpaceX is following in Tesla’s footsteps in a way nobody expected
In the span of just months in early 2026, SpaceX has transformed itself into one of the world’s most ambitious AI companies. The catalyst: its February acquisition of xAI.
When Elon Musk founded Tesla in 2003, it was a plucky electric car startup betting everything on lithium-ion batteries and a niche luxury Roadster.
Two decades later, Tesla is far more than a car company. Its valuation increasingly hinges on Full Self-Driving software, the Optimus humanoid robot, the Robotaxi program, and the Dojo supercomputer cluster purpose-built for AI training.
Musk has repeatedly described Tesla as an AI and robotics company that happens to sell vehicles. The cars, in this view, are merely the first scalable platform for real-world AI.
Now, SpaceX is tracing an eerily similar path, only faster and in a direction almost no one anticipated. Founded in 2002 to make spaceflight routine and eventually multiplanetary, SpaceX spent its first two decades perfecting reusable rockets, landing Falcon 9 boosters, and building the Starlink megaconstellation.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
It was an engineering and manufacturing powerhouse, not a software play. Yet, in the span of just months in early 2026, SpaceX has transformed itself into one of the world’s most ambitious AI companies. The catalyst: its February acquisition of xAI.
The xAI deal, announced on February 2, was structured as an all-stock transaction that valued the combined entity at roughly $1.25 trillion—SpaceX at $1 trillion and xAI at $250 billion. In a memo to employees, Musk framed the merger as the creation of “the most ambitious, vertically-integrated innovation engine on (and off) Earth.”
The new SpaceX now owns Grok, the large language model family that powers the chatbot of the same name, along with xAI’s massive training infrastructure. More importantly, it has a declared mission to move AI compute off-planet.
Earth-based data centers are hitting hard limits on power, cooling, and land. Musk’s solution is orbital data centers, or constellations of solar-powered satellites that act as supercomputers in the sky.
SpaceX has already asked regulators for permission to launch up to one million such satellites. Starship, the company’s fully reusable heavy-lift vehicle, is the only rocket capable of delivering the necessary mass at the required cadence.
Each orbital node would enjoy near-constant sunlight, vast radiator surfaces for passive cooling, and zero terrestrial real-estate costs. Musk has predicted that within two to three years, space-based AI inference and training could become cheaper than anything possible on the ground.
This is not a side project; it is the strategic centerpiece Musk has envisioned for SpaceX. Starlink already provides the global low-latency backbone; next-generation V3 satellites will carry onboard AI accelerators. Rockets deliver the hardware, while AI optimizes every aspect of launch, landing, and constellation management.
The feedback loop is self-reinforcing, too. Better AI makes better rockets, which launch more AI infrastructure.
Just yesterday, on April 21, SpaceX doubled down.
It secured an option to acquire Cursor—the fast-growing AI coding tool beloved by software engineers—for $60 billion later this year, or pay a $10 billion partnership fee if the full deal does not close.
Cursor’s models already help engineers write code at superhuman speed. Pairing that technology with SpaceX’s Colossus-scale training clusters (the same ones powering Grok) positions the company to dominate AI developer tools, much as Tesla dominates autonomous driving software.
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The parallels with Tesla are striking. Both companies began in a single, capital-intensive sector: Tesla with EVs, SpaceX with launch vehicles. Both used early hardware success to fund AI at scale. Tesla’s Dojo supercomputers train neural nets on billions of miles of real-world driving data; SpaceX now trains on telemetry from thousands of orbital assets and re-entries.
Tesla’s FSD chip runs inference on cars; SpaceX’s future satellites will run inference in orbit.
Tesla’s Optimus robot will work in factories; SpaceX envisions lunar factories manufacturing more AI satellites, eventually using electromagnetic mass drivers to fling them into deep space.
Critics once dismissed Musk’s multi-company empire as unfocused. The 2026 moves reveal the opposite: deliberate convergence.
SpaceX is no longer merely a rocket company that sells internet from space. It is an AI company whose competitive moat is literal orbital infrastructure and the only vehicle that can service it at scale. The forthcoming IPO, expected later this year, will almost certainly be pitched not as a space play but as the purest bet on AI infrastructure the public market has ever seen.
Whether the orbital data-center vision survives regulatory scrutiny, astronomical concerns about light pollution, or the sheer engineering challenge remains to be seen.
Yet the strategic direction is unmistakable. Just as Tesla proved that software and AI could redefine the century-old automobile, SpaceX is proving that rockets are merely the delivery mechanism for the next great computing platform—one that floats above the clouds, powered by the sun, and limited only by the physics of orbit.
In that unexpected sense, history is repeating. Tesla stopped being “just a car company” years ago. SpaceX has now stopped being “just a rocket company.” Both are becoming something far larger: AI powerhouses with hardware moats so deep that competitors will need their own reusable megaconstellations to keep up.
The age of terrestrial AI is ending. The age of space-based AI is beginning—and SpaceX is building the launchpad.









