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SpaceX aborts several Starship static fire attempts, rolls test tank to the pad
Accidentally producing the polar opposite of Starship serial number 9 (SN9) completing a trio of Raptor ignition tests in four hours last week, SpaceX has now suffered three back-to-back static fire aborts on January 20th.
On January 13th, Starship SN9 somewhat successfully ignited its Raptor engines three separate times with zero hands-on human intervention or inspection. While an impressive feat, SpaceX CEO Elon Musk soon revealed that two of the rocket’s three engines were damaged during the test campaign. NASASpaceflight.com later reported that the company had detected an issue with one Raptor after the first three-engine static fire, ultimately firewalling it and performing the next two static fires with only two engines.
SpaceX initially allotted five days to replace the two damaged Raptors (SN44 & SN46), scheduling road closures (a telltale sign of test plans) on January 18th, 19th, and 20th. Windows on the 18th and 19th went by with zero attempts. Finally, on the 20th, SpaceX kicked off Starship SN9’s first real test attempt since the engine swap around 2pm but it was aborted by 3pm.
After an extremely brisk recycle, Starship likely made it less than a minute away from ignition but the second attempt was ultimately aborted around 3:40 pm.
Two hours later, after SpaceX extended the end of its road closure from 5pm to 8pm, Starship SN9’s third Raptor static fire attempt was also aborted – once again just a minute or less away from ignition.
SpaceX held Starship SN9 for another hour or so after the third abort but ultimately began final detanking and depressurization around 6:50 pm, marking the end of the day’s attempts.
It’s impossible to say what caused Wednesday’s back-to-back-to-back aborts or if the three instances were connected. While potentially frustrating to watch from the sidelines, it’s crucial to remember that the public is getting a truly unprecedented continuous view of SpaceX’s process of developing and refining a world-class launch vehicle. Additionally, every abort Starship suffers should theoretically produce volumes of valuable data that both Starship and Raptor teams can use to better understand how to design, build, test, and operate the cutting-edge vehicle and its engines.
More likely than not, SpaceX is leaning towards caution (and thus cautious hardware and software limits) while attempting to prepare Starship SN9 for its true data-gathering purpose – an SN8-style high-altitude launch and landing attempt.
SpaceX is currently scheduled to try again with another series of Starship SN9 static fire attempts between 8am and 5pm CST (UTC-6) on Thursday, January 21st.
Meanwhile, prior to SN9’s multiple Wednesday aborts, SpaceX rolled the latest in a series of Starship ‘test tanks’ from the factory to the launch pad. A team rapidly strapped the tank to the concrete pad and connected it to ground support equipment in preparation for a series of tests that will likely end with SpaceX intentionally pressurizing the tank until its bursts. If successful, it will open the door for future Starships to save weight by cutting steel skin thickness from 4mm to 3mm.
Stay tuned for updates on both active test campaigns.
Elon Musk
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla confirmed HW3 vehicles cannot run unsupervised FSD, replacing its free upgrade promise with a discounted trade-in.
Tesla has officially confirmed that early vehicles with its Autopilot Hardware 3 (HW3) will not be capable of unsupervised Full Self-Driving, while extending a path forward for legacy owners through a discounted trade-in program. The announcement came by way of Elon Musk in today’s Tesla Q1 2026 earnings call.
🚨 Our LIVE updates on the Tesla Earnings Call will take place here in a thread 🧵
Follow along below: pic.twitter.com/hzJeBitzJU
— TESLARATI (@Teslarati) April 22, 2026
The history here matters. HW3 launched in April 2019, and Tesla sold Full Self-Driving packages to owners on the understanding that the hardware was sufficient for full autonomy. Some owners paid between $8,000 and $15,000 for FSD during that period. For years, as FSD’s AI models grew more demanding, HW3 vehicles fell progressively further behind, eventually landing on FSD v12.6 in January 2025 while AI4 vehicles moved to v13 and then v14. When Musk acknowledged in January 2025 that HW3 simply could not reach unsupervised operation, and alluded to a difficult hardware retrofit.
The near-term offering is more concrete. Tesla’s head of Autopilot Ashok Elluswamy confirmed on today’s call that a V14-lite will be coming to HW3 vehicles in late June, bringing all the V14 features currently running on AI4 hardware. That is a meaningful software update for owners who have been frozen at v12.6 for over a year, and it represents genuine effort to keep older hardware relevant. Unsupervised FSD for vehicles is now targeted for Q4 2026 at the earliest, with Musk describing it as a gradual, geography-limited rollout.
For HW3 owners, the over-the-air V14-lite update is welcomed, and the discounted trade-in path at least acknowledges an old obligation. What happens next with the trade-in pricing will define how this chapter ultimately gets written. If Tesla prices the hardware path fairly, acknowledges what early adopters are owed, and delivers V14-lite on the June timeline it committed to today, it has a real opportunity to convert one of the longest-running sore subjects among early adopters into a loyalty story.
Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Credit: TESLA
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
- Revenues – $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow – $1.444 billion
- Profit – $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
