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Elon Musk’s Neuralink files permit to build biological research lab

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Elon Musk’s neurotechnology startup Neuralink filed for permits to build an in-house machine shop and a biological testing laboratory for its facility in San Francisco last year.

The documentation on the company’s 2017 permits was retrieved by Gizmodo, which was able to access Neuralink’s public records. An excerpt of a letter submitted by Neuralink executive Jared Birchall on February 2017 to the city’s planning department gives some clues about the company’s plans for the facility’s proposed machine shop and animal testing lab.

“The tenant intends to use the 2nd floor as an interdisciplinary workroom for electrical, chemical, mechanical & materials engineering and computer science development, with a small machine shop attached, to modify prefabricated small bio-mechanical devices as well as perform 3D printing and CNC (Computer Numerical Control) milling. The machine shop is an accessory use to the workroom.

“The tenant intends to use the 3rd floor as a biological research laboratory for neurological interface testing and development. Ancillary to this use, the tenant will require a clean room for microfabricated device integration, a small operating room for in vivo testing, and a small room to house rodents. This will follow the CNC/NIH Animal Biosafety Laboratory Level 1. The use of rodents is exempt from the Animal Welfare Act. The clean room, operating room, and rodent housing uses are accessory to the laboratory use.”

Neuralink’s approved permit to keep and use laboratory animals. [Credit: Gizmodo]

Neuralink also filed for a permit from the California Department of Public Health in April 2017, directly referencing the utilization of laboratory animals. The document was submitted to the CDPH, which subsequently approved the permit in May 2017. According to a California DPH spokesperson who spoke to the publication, however, city officials have not inspected Neuralink’s facility after the permit was approved. The DPH spokesperson further added that Neuralink’s permit would expire on April 2018, but so far, the neurotech company has not filed for renewal.

Ultimately, Neuralink’s permits for its biological testing laboratory indicates, at least to some extent, that the company is making progress on its projects. In a statement to Gizmodo, Alik Widge, a psychiatrist-engineer at Massachusetts General Hospital involved in electrical and magnetic brain stimulation research, stated that testing on rodents is a valuable and inherent part of the research development process, especially for companies with goals as ambitious as Neuralink.

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“When you think about the body, we’re made mostly of salt water. You can see what a year or two of that will do to a car. Now imagine what it will do to a high-precision medical device, especially one that’s putting out electric signals. The role of animal testing is to show that the risk of any of that happening is incredibly low,” Widge said.

Now more than a year old, the specifics of Neuralink’s projects are still a mystery. What is known, however, is that the startup is aimed at developing neural lace technologies, which are designed to foster links between the human brain and computers. As we noted in a previous report, these linkages, later dubbed as “wizard hats for the brain,” will likely be possible through the use of microelectromechanical systems (MEMS). MEMS are comprised of incredibly small robots that are biocompatible, which means that they would, by design, be able to proliferate throughout the human body.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla adds new feature that will be great for crowded parking situations

This is the most recent iteration of the app and was priming owners for the slowly-released Holiday Update.

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Credit: Grok

Tesla has added a new feature that will be great for crowded parking lots, congested parking garages, or other confusing times when you cannot seem to pinpoint where your car went.

Tesla has added a new Vehicle Locator feature to the Tesla App with App Update v4.51.5.

This is the most recent iteration of the app and was priming owners for the slowly-released Holiday Update.

While there are several new features, which we will reveal later in this article, perhaps one of the coolest is that of the Vehicle Locator, which will now point you in the direction of your car using a directional arrow on the home screen. This is similar to what Apple uses to find devices:

In real time, the arrow gives an accurate depiction of which direction you should walk in to find your car. This seems extremely helpful in large parking lots or unfamiliar shopping centers.

Getting to your car after a sporting event is an event all in itself; this feature will undoubtedly help with it:

Tesla’s previous app versions revealed the address at which you could locate your car, which was great if you parked on the street in a city setting. It was also possible to use the map within the app to locate your car.

However, this new feature gives a more definitive location for your car and helps with the navigation to it, instead of potentially walking randomly.

It also reveals the distance you are from your car, which is a big plus.

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Along with this new addition, Tesla added Photobooth features, Dog Mode Live Activity, Custom Wraps and Tints for Colorizer, and Dashcam Clip details.

All in all, this App update was pretty robust.

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Tesla CEO Elon Musk shades Waymo: ‘Never really had a chance’

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Credit: Tesla

Tesla CEO Elon Musk shaded Waymo in a post on X on Wednesday, stating the company “never really had a chance” and that it “will be obvious in hindsight.”

Tesla and Waymo are the two primary contributors to the self-driving efforts in the United States, with both operating driverless ride-hailing services in the country. Tesla does have a Safety Monitor present in its vehicles in Austin, Texas, and someone in the driver’s seat in its Bay Area operation.

Musk says the Austin operation will be completely void of any Safety Monitors by the end of the year.

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With the two companies being the main members of the driverless movement in the U.S., there is certainly a rivalry. The two have sparred back and forth with their geofences, or service areas, in both Austin and the Bay Area.

While that is a metric for comparison now, ultimately, it will not matter in the coming years, as the two companies will likely operate in a similar fashion.

Waymo has geared its business toward larger cities, and Tesla has said that its self-driving efforts will expand to every single one of its vehicles in any location globally. This is where the true difference between the two lies, along with the fact that Tesla uses its own vehicles, while Waymo has several models in its lineup from different manufacturers.

The two also have different ideas on how to solve self-driving, as Tesla uses a vision-only approach. Waymo relies on several things, including LiDAR, which Musk once called “a fool’s errand.”

This is where Tesla sets itself apart from the competition, and Musk highlighted the company’s position against Waymo.

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Jeff Dean, the Chief Scientist for Google DeepMind, said on X:

“I don’t think Tesla has anywhere near the volume of rider-only autonomous miles that Waymo has (96M for Waymo, as of today). The safety data is quite compelling for Waymo, as well.”

Musk replied:

“Waymo never really had a chance against Tesla. This will be obvious in hindsight.”

Tesla stands to have a much larger fleet of vehicles in the coming years if it chooses to activate Robotaxi services with all passenger vehicles. A simple Over-the-Air update will activate this capability, while Waymo would likely be confined to the vehicles it commissions as Robotaxis.

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Tesla AI5 project begins to move forward

According to a new report from Sedaily, Samsung is accelerating its preparation for U.S. production of the AI5 chips by hiring veteran engineers for its Customer Engineering team.

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Credit: Tesla

Tesla supplier Samsung is preparing to manufacture the AI5 chip, which will launch the company’s self-driving efforts even further, with its latest move.

According to a new report from Sedaily, Samsung is accelerating its preparation for U.S. production of the AI5 chips by hiring veteran engineers for its Customer Engineering team, which will help resolve complex foundry challenges, stabilize production and yields, and ensure manufacturing goes smoothly for the new project.

The hiring push signals that Tesla’s AI5 project is moving forward quickly at Samsung, which was one of two suppliers to win a contract order from the world’s leading EV maker.

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TSMC is the other. TSMC is using its 3nm process, reportedly, while Samsung will do a 2nm as a litmus test for the process.

The different versions are due to the fact that “they translate designs to physical form differently,” CEO Elon Musk said recently. The goal is for the two to operate identically, obviously, which is a challenge.

Some might remember Apple’s A9 “Chipgate” saga, which found that the chips differed in performance because of different manufacturers.

The AI5 chip is Tesla’s next-generation hardware chip for its self-driving program, but it will also contribute to the Optimus program and other AI-driven features in both vehicles and other projects. Currently, Tesla utilizes AI4, formerly known as HW4 or Hardware 4, in its vehicles.

Tesla teases new AI5 chip that will revolutionize self-driving

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AI5 is specialized for use by Tesla as it will work in conjunction with the company’s Neural Networks, focusing on real-time inference to make safe and logical decisions during operation.

Musk said it was an “amazing design” and an “immense jump” from Tesla’s current AI4 chip. It will be roughly 40 times faster, and have 8 times the raw compute, with 9 times the memory capacity. It is also expected to be three times as efficient per watt as AI4.

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AI5 will make its way into “maybe a small number of units” next year, Musk confirmed. However, it will not make its way to high-volume production until 2027. AI5 is not the last step, either, as Musk has already confirmed AI6 would likely enter production in mid-2028.

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