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Neuralink did not immediately return requests for comment outside regular business hours.

Semafor’s report corroborates earlier reporting from Bloomberg, which noted in April that the startup was looking to raise $500 million at an $8.5 billion pre-money valuation.

Neuralink last year received “breakthrough device” clearance from the U.S. FDA. Three people have so far received implants made by Neuralink. Earlier this month, a nonverbal patient posted a video about how he uses a Neuralink implant to edit and narrate YouTube videos with just his brain signals.

SpaceX’s prototype Starship exploded over the Indian Ocean on Tuesday, capping another bumpy test flight for the rocket central to billionaire Elon Musk’s dream of colonizing Mars.

The biggest and most powerful launch vehicle ever built lifted off around 6:36 pm (2336 GMT) from the company’s Starbase facility, near a southern Texas village that earlier this month voted to become a city — also named Starbase.

Excitement ran high among SpaceX engineers and spectators alike, after the last two outings ended with the upper stage disintegrating in fiery cascades over the Caribbean.

Whenever I used to think about brain-computer interfaces (BCI), I typically imagined a world where the Internet was served up directly to my mind through cyborg-style neural implants—or basically how it’s portrayed in Ghost in the Shell. In that world, you can read, write, and speak to others without needing to lift a finger or open your mouth. It sounds fantastical, but the more I learn about BCI, the more I’ve come to realize that this wish list of functions is really only the tip of the iceberg. And when AR and VR converge with the consumer-ready BCI of the future, the world will be much stranger than fiction.

Be it Elon Musk’s latest company Neuralink —which is creating “minimally invasive” neural implants to suit a wide range of potential future applications, or Facebook directly funding research on decoding speech from the human brain—BCI seems to be taking an important step forward in its maturity. And while these well-funded companies can only push the technology forward for its use as a medical devices today thanks to regulatory hoops governing implants and their relative safety, eventually the technology will get to a point when it’s both safe and cheap enough to land into the brainpan’s of neurotypical consumers.

Although there’s really no telling when you or I will be able to pop into an office for an outpatient implant procedure (much like how corrective laser eye surgery is done today), we know at least that this particular future will undoubtedly come alongside significant advances in augmented and virtual reality. But before we consider where that future might lead us, let’s take a look at where things are today.

The first test of Tesla’s long-promised robotaxi service in Austin, Texas next month will initially be limited to specific areas the company deems “the safest,” CEO Elon Musk told CNBC in an interview Tuesday.

Tesla’s cars are “not going to take intersections unless we are highly confident [they’re] going to do well with that intersection, or it’ll just take a route around that intersection,” Musk said. “We’re going to be extremely paranoid about the deployment, as we should be. It would be foolish not to be.”

Using a geofence represents a major strategy shift for Musk, who spent years claiming his company would be able to create a general-purpose self-driving solution that could be dropped in to any location and work without human supervision. (Geofence is a jargon term used in the autonomous vehicle industry that means a vehicle is restricted to a certain area.) Musk has claimed Tesla will attempt to launch similar trials for its robotaxi service in California and possibly other states later this year.

Elon Musk recently emphasized that Colossus 2 will be the first Gigawatt AI training supercluster, highlighting xAI’s growing infrastructure ambitions as he reshared a post detailing the deployment of 168 Tesla Inc. Megapacks to power the new data center.

Tesla is developing a terawatt-level supercomputer at Giga Texas to enhance its self-driving technology and AI capabilities, positioning the company as a leader in the automotive and renewable energy sectors despite current challenges ## ## Questions to inspire discussion.

Tesla’s Supercomputers.

💡 Q: What is the scale of Tesla’s new supercomputer project?

A: Tesla’s Cortex 2 supercomputer at Giga Texas aims for 1 terawatt of compute with 1.4 billion GPUs, making it 3,300x bigger than today’s top system.

💡 Q: How does Tesla’s compute power compare to Chinese competitors?

A: Tesla’s FSD uses 3x more compute than Huawei, Xpeng, Xiaomi, and Li Auto combined, with BYD not yet a significant competitor. Full Self-Driving (FSD)

Optimus, Tesla’s humanoid robot, can dance like a human, a new video shared by CEO Elon Musk shows.

The viral clip, posted on X, features the robot moving with impressive fluidity, flaunting some cool human-like dance moves.

Musk shared the video without a caption, later adding, “This is real, real-time.”