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Tesla patent reveals ‘High Speed Wiring’ design for full self-driving safety

(Image: Tesla)

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Tesla has filed a recently-published patent application titled “High-Speed Wiring System Architecture” that addresses an important aspect of its Full Self-Driving (FSD) suite: redundancy.

Traditional computer wiring systems often have no redundancy in their communications. Individual devices are connected to a central point (such as a processor), and each device receives communications separately from that point via some sort of cable. If one of the connections fails, communications to the device fails, and in a self-driving situation, that could mean complete system failure.

Simply adding more backup cables isn’t really a great solution, either. More wires mean more connection points, and if you’ve ever worked with microcontrollers or circuit boards professionally or as a hobby, you can already see the downside to this. More connection points mean bigger boards, and bigger boards mean higher manufacturing costs.

This is where Tesla’s new wiring system comes in, which was published on August 15, 2019 as US Patent Publication No. 2019/0248310.

“High-Speed Wiring System Architecture” patent application figure, one embodiment. | Image: Tesla/USPTO

The wiring architecture, as described, comprises a bi-directional backbone cable that forms a loop to and from a processor; along that backbone are connected devices (i.e., segments) with hubs inside associated with one or more cameras and/or radars. The backbone can function as two separate loops, meaning if one portion of the backbone fails, data from all the devices and hubs can still be sent to and from the processor thanks to the dual-loop capacity.

Perhaps a good way to visualize this is to imagine bumper cars or a marble traveling in a loop unimpeded. If a barrier were to suddenly be erected, the car and marble would bump the barrier and travel in the opposite direction. Or, instead of a barrier to bump, imagine a sharp U-turn came up, forcing the travel back in the other direction. The U-turn would happen on either side of the barrier, meaning motion (communication) would still continue back and forth to the processor despite a break in the larger loop (backbone).

The specific advantage of this new architecture over traditional systems, other than less cables connected to the processor, is that each hub within the devices is also connected in serial or in parallel to the other hubs via the backbone. If one hub within a device fails, the other hubs can still transmit to the backbone and thus to the processor. In a traditional system, if one cable to/from a device fails, all communications to/from radars and cameras inside the device fails.

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A traditional computer wiring architecture. | Image: Tesla/USPTO

Essentially, what Tesla’s done here is mitigate the damage of one thing failing in an FSD system to just that one thing. Here’s how the application sums up that concept: “In embodiments, when backbone is formed using a bi-directional cable…then the wiring system architecture can tolerate one fault in the backbone while still maintaining communication pathways for all hubs and devices.”

Notably, Tesla’s patent application also specifies that its technology could be used in a variety of vehicles, including semi-trucks, indicating the company may intend to use the architecture as a standard setup for all its FSD programs in the future. Additionally, language is included to broaden the architecture’s application to farming, nautical, and other industrial applications.

A few of Tesla’s recent patent applications have demonstrated numerous efforts being made to improve the safety of FSD systems wherever opportunities for improvement are found. For example, an application published in May titled “System and Method for Handling Errors in a Vehicle Neural Network Processor” describes a way to safely handle errors encountered in self-driving software. Another application titled “Autonomous Driving System Emergency Signaling” describes a method of quickly communicating emergency information from vehicle sensors feeding into autonomous driving software. While Full Self-Driving may take a significant amount of time to be fully implemented for a variety of reasons, there’s no question that Tesla is working hard to make it a reality.

Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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Elon Musk

SpaceX just combined Grok, Cursor, and X into one mega plan

SpaceXSI merges Grok, Cursor, and X Premium into one plan, raising questions for Tesla owners.

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SpaceX Super Intelligence has rolled out The X Subscription, a single plan that combines Grok, Grok Bot, Cursor, and X Premium.

There are five levels, including a free plan that includes daily Grok access and a starter allowance for Cursor’s coding agents. Plus is $8 per month, Premium is $30, Super is $100, and Ultra is $200. Usage scales as you move up, with Premium offering four times the Plus allowance, Super 15 times, and Ultra 50 times. Annual billing brings the prices down a bit further, with Premium at $300 per year.

The $30 Premium tier is where SpaceXSI says it packs the benefits of SuperGrok, Cursor Pro, and X Premium+, which previously added up to $90 per month. Grok Bot, the agent that handles tasks like ordering food or managing a calendar, is included from Premium upward but not on Plus. Paid plans share one weekly usage pool across Grok and Cursor, and each plan includes at least twice the coding usage of the comparable Cursor plan. Third party models in Cursor remain available on Premium and above, but they are billed separately at API list prices.

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That last detail matters because of what has happened around Cursor this year. SpaceX exercised its option to buy the company for $60 billion in June, and the deal closed in August. Weeks later, OpenAI said it will cut Cursor’s access to its models on November 12. Bundling Cursor with Grok usage gives SpaceXSI a reason to steer developers toward its own models.

Tesla integrates Grok Bot into its vehicles for the ultimate personal assistant

For Tesla owners, the connection is Grok Bot. Tesla brought it into its vehicles last month, and at that point access inside the car was limited to SuperGrok Heavy subscribers. Grok Bot is now enabled across every Cybercab and the rest of the Model Y Robotaxi fleet. Neither SpaceXSI nor Tesla has said how the new plans change inside the car access for owners, or whether a $30 Premium subscription now covers Grok Bot in a personal Tesla. That is the question owners will want answered first.

The company is also changing its name along the way. The rollout follows the rebrand Musk announced on October 4, when he said SpaceXAI would become SpaceXSI, and the plan page now carries that branding.

The X Subscription is available to new customers starting now, and SpaceXSI says it will reach everyone globally over the next few days. Existing SuperGrok, Cursor, and X Premium subscribers do not have to switch. The option to move will appear gradually in billing settings, with a prorated refund for the unused time on the old plan. Switching is permanent once the accounts are unified, and old plans are closed to new sign ups.

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Energy

Taiwan power firm bets big on Tesla Megapacks as AI data center thirst grows

Taiwan’s Apollo Power orders 260 Tesla Megapacks, betting AI data centers will need more electricity.

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Concept render of Tesla Megapack farm supporting an AI Data Center in Taiwan
Concept render of Tesla Megapack farm supporting an AI Data Center in Taiwan

A Taiwanese power company has ordered 260 Tesla Megapack 2XL units, roughly 1GWh of storage, betting that electricity rather than chips will decide how fast AI data centers come online. Apollo Power signed the contract with Tesla’s Taiwan energy arm on October 8, according to the company’s filing with the Taiwan stock exchange.

The filing says the units are meant for behind the meter storage and resilient grid projects, with delivery in batches from the end of 2027 and sites operating in 2028. Apollo and Tesla did not disclose a price, citing a confidentiality agreement. Apollo plans to pay for the equipment through a cash capital increase and bank financing, and it noted the purchase is not revenue and does not mean it holds firm orders from its partners.

Biggo reported that only about 33 units are under signed customer contracts, with roughly 150 more in negotiation. The same report put total project investment near NT$130 billion, but that figure includes installation work, with the equipment itself making up about 40 to 50 percent. In other words, a large share of this order is Apollo reserving supply ahead of demand. Apollo’s chairman told local media global large storage supply is tight, which is why the company locked in the units early, according to Yahoo Taiwan Finance.

Tesla Taiwan partners with Costco to sell vehicles

Apollo also launched an AI data center and grid resilience alliance with Phison, Gigabyte and Shihlin Electric. The pitch rests on a pilot at Phison’s Zhunan plant, where Apollo and Tesla Energy Taiwan installed grid forming Megapack 2XLs in June. Tesla Energy Taiwan general manager Sun Hsiao-Han said the project went from demo to 1GWh in four months, and that Tesla Energy has deployed more than 50GWh worldwide.

Taiwan’s cabinet has approved amendments that would require large energy users to install their own generation and storage, which gives enterprise storage a regulatory tailwind.

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The deal fits a pattern Teslarati has tracked. Tesla’s Megablock targets 1GWh commissioned in 20 business days, a pitch aimed squarely at fast moving data center builds. Megapacks already back xAI’s Colossus in Memphis and a 400MW AI campus in Brazil. Sun Media adds that Megapack 2XL was named among the first products in Nvidia’s DSX Ready qualification for battery storage in AI factories.

Deliveries are more than a year away, so the real test is how much of that 260 unit order turns into signed customer contracts.

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Lifestyle

Tesla Cybercab and Robotaxi’s real advantage won’t be the ride service

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Concept art of a Tesla Cybercab in Las Vegas Strip as rendered via Grok

For a century, the car has asked the same thing of its owner, which is basically to pay attention. Even the best ride-hailing app like Uber or Lyft only moved the problem into someone else’s hands. You stopped driving, but you still sat in a stranger’s car, while half listening, and wondering whether to take a phone call in the car without being rude. The Cybercab has no wheel, no pedals and no driver. With Grok @bot now live inside it, it becomes something else entirely, and I think that matters more than the fleet count that everyone is tracking.

Grok @bot is an agent, not a voice assistant. A rider signs in once, and from then on can say what they need and watch it happen. Order dinner from a favorite restaurant. Fill the grocery cart. Move money, answer email, adjust a calendar, push a work project forward. Tesla engineer Yun-Ta Tsai confirmed it is enabled across every Cybercab and the rest of the Model Y fleet, and Tesla’s own pitch is that Full Self-Driving handles the commute while Grok handles the errands.

Think about what that does to a thirty minute ride. Uber sells you a trip, while Waymo sells you the same trip in a more private setting. Tesla is selling the thirty minutes themselves, returned to you with an assistant attached. Errands that used to eat a Saturday get done between pickup and drop off. The ride stops being dead time between two places and becomes a place of its own.

Tesla integrates Grok Bot into its vehicles for the ultimate personal assistant

Best of all, your Bots follow you into any Cybercab, and presumably your own Tesla, then logs you out automatically when you step out. Anyone can bolt a chatbot onto a screen, but much harder to own the vehicle, the autonomy stack and the assistant at once. It also quietly ties SpaceX’s Super Intelligence business to Tesla’s fleet, after Tesla converted its xAI stake into SpaceX equity. The relationship between those two companies is getting harder to describe as separate.

This is also where the hard questions start, because an agent that can spend your money in a vehicle other people also ride in needs some answers. How does it handle a voice it shouldn’t trust? What gets recorded, who can see it, and for how long? What happens when a rider leaves halfway through a task?

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If Tesla gets those answers right, the scoreboard changes. We have been counting Cybercabs and wait times. The more telling number may be what riders accomplish per trip. That is data almost no one else will ever have, and it is the real reason to watch Grok @bot.

What do you think? Leave me a comment.

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