News
SpaceX fires up Starship and Super Heavy booster hours apart
SpaceX appears to have successfully fired up a Starship and Super Heavy booster hours apart, testing a total of three new Raptor 2 engines on the two rockets.
SpaceX says it completed a two-engine static fire with Starship 24 less than three hours after the company successfully ignited a Raptor 2 engine installed on a rocket prototype for the first time. That earlier test, performed by Super Heavy Booster 7, was also the first time SpaceX used its new Starbase orbital launch site to support a static fire test and the second-ever static fire of a Starship booster prototype. Had the company called it quits after Booster 7 survived its first intentional trial by fire, it would have still been an exceptionally successful day.
But SpaceX wasn’t done.
Instead, after Booster 7’s seemingly flawless single-Raptor static fire at 5:25 pm CDT, SpaceX loaded Starship 24 with a small amount of liquid oxygen and methane propellant and ignited two of the ship’s six engines around 8:18 pm. It was not initially clear how many engines were involved but a tweet from SpaceX later confirmed it was two. More likely than not, one of those engines was a sea level-optimized Raptor with a smaller bell nozzle and the other was a vacuum-optimized Raptor with a much larger nozzle.
Almost ten months ago, Starship 20 – SpaceX’s first potentially orbital-class Starship prototype – began static fire testing in a somewhat similar way. Its first day of static fires began with a single Raptor Vacuum engine and ended with a simultaneous RVac and sea-level Raptor test in October 2021. In some ways, SpaceX has been a bit less cautious with Starship 24, which is the second potentially orbital-class prototype to begin proof testing. Ship 24 already has all six Raptors installed, whereas Ship 20 only had four of six engines installed during its first static fire tests. SpaceX also took about three weeks to progress from Ship 20’s first static fire test to its first static fire of all six engines, whereas it appears that Ship 24 could potentially attempt its first six-engine test just a few days to a week later.
On the other hand, Ship 24’s path to its first static fire was substantially longer than Ship 20’s. Ship 20 completed its first static fire test(s) just 25 days after its first proof test, referring to the process of verifying that the prototype was in good working order before moving on to riskier testing with flammable propellant and intentional ignitions. Ship 20 also completed its first six-engine static fire 46 days after testing began. Ship 24, meanwhile, took 75 days to go from its first proof test to its first static fire – almost three times slower than Ship 20, a prototype that was essentially the first of its kind.
It’s possible that Ship 24’s upgraded Raptor 2 engines are partially or fully to blame. Instead of jumping straight into ‘hot’ Raptor testing like Ship 20, which began that particular campaign with a partial-ignition preburner test, SpaceX put Ship 24 through seven ‘spin-prime’ tests before its first static fire. For Raptor, spin-primes test the ignition step before preburner ignition, which is itself a step before main combustion chamber ignition (where the engine starts to produce meaningful thrust). Raptor startup procedures likely involve flowing high-pressure gaseous helium, nitrogen, or propellant (oxygen/methane) through the engine to spin up its turbopumps, ‘priming’ them for preburner and main combustion chamber ignition.
On Raptor 1, the preburners would ignite once a high enough flow rate was achieved, producing hot gas that the main combustion chamber would mix and ignite one last time to start the engine. In a recent interview with Tim Dodd (“The Everyday Astronaut”), CEO Elon Musk revealed that SpaceX was able to “remove torch igniters” from Raptor 2’s main combustion chamber (MCC). It’s unclear if that means that Raptor 2 now has zero MCC igniters, but a major change in the overall ignition process could explain why the start of Ship 24 and Booster 7 engine testing was so sluggish. So could the unintended explosion Booster 7 caused when SpaceX attempted to spin-prime all 33 of its Raptor 2 engines at once.
Regardless, SpaceX has finally crossed that particular Rubicon and, with any luck, Raptor 2 testing will begin to speed up on both Starship 24 and Super Heavy Booster 7. SpaceX has test windows scheduled on August 11th, 15th, and 16th. A warning distributed to Boca Chica, Texas residents on August 10th confirmed that the company intends to perform at least one more static fire test on the 11th.
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.
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