News
SpaceX backup Starship reaches full height after nosecone installation
SpaceX has installed another Starship’s nosecone, all but completing the second full-size prototype a matter of days before the first fully-assembled Starship’s risky launch debut.
Over the last two months, SpaceX has effectively put Starship number 8 (SN8) through an almost nonstop series of tests, completing at least four separate cryogenic proof tests, four Raptor engine static fires, and much more. The company’s South Texas team have also dodged an array of technical bugs; installed, plumbed, and wired what amounts to ~40% of Starship (the nose section) while fully exposed to the coastal elements; and even narrowly avoided a potentially catastrophic failure.
In spite of the many hurdles thrown up and delays resultant, CEO Elon Musk announced earlier this week that Starship SN8 is scheduled to attempt its 15-kilometer (~50,000 ft) launch debut as early as Monday, November 30th. Musk, however, does not see success as the most probable outcome.
Why, then, push to launch Starship SN8 when, in Musk’s own words, the probability of success is as low as “33%”? As previously discussed many times in the history of Teslarati’s BFR and Starship coverage, SpaceX’s attitude towards technology development is (unfortunately) relatively unique in the aerospace industry. While once a backbone of major parts of NASA’s Apollo Program moonshot, modern aerospace companies simply do not take risks, instead choosing a systems engineering methodology and waterfall-style development approach, attempting to understand and design out every single problem to ensure success on the first try.
The result: extremely predictable, conservative solutions that take huge sums of money and time to field but yield excellent reliability and all but guarantee moderate success. SpaceX, on the other hand, borrows from early US and German rocket groups and, more recently, software companies to end up with a development approach that prioritizes efficiency, speed, and extensive testing, forever pushing the envelope and thus continually improving whatever is built.
In the early stages of any program, the results of that approach can look extremely unusual and rudimentary without context (i.e. Starhopper, above), but building and testing a minimum viable product or prototype is a very intentional foundation. Particularly at the start, those minimal prototypes are extremely cheap and almost singularly focused on narrowing a vast range of design options to something more palatable. As those prototypes rapidly teach their builders what the right and wrong questions and design decisions are, more focused and refined prototypes are simultaneously built and tested.
Done well, the agile approach is often quite similar to evolution, where prototype failures inform necessary design changes and killing off dead-end strategies, designs, and assumptions before they can be built upon. In many cases, compared to cautious waterfall-style development, it will even produce results that are both better, cheaper, and faster to realize. SpaceX’s Starship program is perhaps the most visible example in history, made all the more interesting and controversial by the fact that it’s still somewhere in between its early, chaotic development phase and a clear path to a viable product.
On the build side of things, SpaceX has created a truly incredible ad hoc factory from next to nothing, succeeding to the point that the company is now arguably testing and pushing the envelope too slowly. As of November 2020, no fewer than eight full-size Starships and the first Super Heavy booster prototype are visibly under construction. Most recently, Starship SN9 was stacked to its full height, kicking off nosecone installation while still at the build site (unlike SN8). SN10’s completed tank section is likely ready to begin flap installation within the next few days, while Starship SN11 is perhaps a week or two behind that. Additionally, large tank sections of Starships SN12, SN13, SN14, SN15, and (most likely) SN16 are already completed and have all been spotted in the last few weeks.
Some ~90% of the above work was likely started after Starship SN8 first left the factory and rolled to the launch pad on September 26th. In many regards, SN8 has been the first to reach multiple major milestones, largely explaining the relatively plodding pace of its test program compared to SN4, SN5, and SN6.
Ultimately, SN9’s imminent completion – effectively a superior, more refined copy of SN8 – means that Starship SN8’s utility to SpaceX is rapidly deteriorating. The company would almost assuredly never skip an opportunity to learn, meaning that there’s no plausible future in which SN8 testing doesn’t continue, but that doesn’t mean that SpaceX can’t turn its risk tolerance to 11. In essence, accept a 67% (or higher) chance of Starship SN8’s violent destruction but learn as much as possible in the process. As long as good data is gathered, SN8’s launch debut will be a success for Starship whether the rocket lands in one or several pieces.
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.
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.
We’ve unified plans across Grok, Cursor, and X Premium.
Introducing The X Subscription. https://t.co/SvkrVvBa0p
— SpaceX Super Intelligence (@SpaceXSI) October 12, 2026
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.
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.
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.
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.
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.
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.
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?
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.
SpaceX just combined Grok, Cursor, and X into one mega plan
Taiwan power firm bets big on Tesla Megapacks as AI data center thirst grows
Tesla Cybercab and Robotaxi’s real advantage won’t be the ride service
The Pentagon taps Elon Musk to design the battlefield of the future
Tesla Roadster’s new patent preps white-knuckle speeds, keeping it grounded
