News
SpaceX Starship engine completes orbital-duration static fire test in Texas
A local resident and unofficial SpaceX observer has reported hearing a test of one of Starship’s Raptor engines that lasted more than five minutes at the company’s McGregor, Texas development facilities.
If accurate, it could be the longest static fire of a Starship engine that SpaceX has ever completed in the two years since full-scale Raptor testing first began. Whether it was successful or not, a five or six-minute static fire would also confirm that SpaceX is well into the process of qualifying Raptor for Starship’s first orbital launch attempts.
An FCC “Special Temporary Authority” (STA) request filed by SpaceX itself for Starship’s inaugural “Orbital Test Flight” earlier this month provided several significant details about that milestone mission. Aside from revealing that Starship will ultimately attempt a soft ocean landing – splashdown – off the coast of a Hawaiian island after traveling ~75% of the way around Earth, it also included a precise timeline of launch events.
According to that timeline, ten seconds shy of three minutes after liftoff, Starship’s Super Heavy booster will shut down and separate from the spacecraft. Starship will then ignite either three or six Raptor engines for a bit less than six minutes to boost itself within the vicinity of orbital velocity. Curiously, the same timeline makes no mention of a deorbit burn, without which the first “orbital” test flight will technically be suborbital even if Starship is traveling very close to orbital velocity.
Regardless, the document confirms that Starship’s orbital insertion burns will be approximately 5.5-6.5 minutes long – the maximum stamina required from its Raptor engines, in other words. Rephrased, in its current design, Starship will never be able to reach orbit without Raptor engines capable of continuously operating for around six minutes. Up until high-altitude Starship test flights began in December 2020, the extent of Raptor’s long-duration capabilities and thus the state of SpaceX testing was effectively a mystery.
When Starship SN8 debuted, however, it quickly became clear that SpaceX had made significant progress after one of its three Raptor engines burned without apparent issue for 280 seconds (4:40). If SN3x and SN4x Raptors could handle almost five minutes of continuous operation, the engine was just ~20% improvement away from being able to complete a plausible orbital insertion burn.
Now, six months later, Raptor appears to have completed at least one truly orbital-class burn at SpaceX’s Central Texas development campus. McGregor typically completes multiple static fires every day and already performs similar-duration testing of Merlin Vacuum engines and upper stages, so it’s possible – if not probable – that one or several other five or six-minute-long tests have simply been missed over the last few months.
Beginning just a handful of months ago, SpaceX has been rapidly building a new Raptor test stand with two vertical engine bays and new liquid oxygen and methane propellant storage to go with it. Given that a six-minute Raptor engine static fire at or close to full thrust would consume around 220 metric tons of propellant, it’s possible that SpaceX’s ground test facilities simply didn’t have the storage capacity to support such long tests prior to those recent upgrades.
Regardless, the first unofficially confirmed orbital-duration test is an exciting and important milestone with or without SpaceX confirmation and continues to make it abundantly clear that the company is now almost entirely focused on reaching orbit (or getting close).
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
