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SpaceX transports fifth Starship prototype to the launch pad
SpaceX has at long last transported its fifth full-scale Starship prototype to a nearby launch pad, kicking off a week of busy pre-test preparations while the sixth rocket is already nipping at its heels.
Starship SN5’s move to the pad ends the longest gap between full-scale prototype testing since Starship Mk1 was destroyed in November 2019, a partially-expected failure that began a more than three-month period of infrastructure upgrades. The first upgraded Starship (SN1) rolled to the pad on February 25th, followed by SN3 on March 29th and SN4 on April 23rd, indicative of a fairly consistent monthly cadence of Starship production (and destruction).
Almost exactly two months after its predecessor headed from the factory to SpaceX’s Boca Chica, Texas launch facilities, Starship SN5 has taken its place on a brand new launch mount. The cause of that month-long delay is fairly simple. When Starship SN4 exploded on May 29th, it damaged the existing launch mount and some additional ground support equipment (GSE), forcing SpaceX to scrap the destroyed mount and build a new one from scratch. In a matter of weeks, SpaceX’s crack team of pad engineers and technicians have done exactly that.
While, judging from several sets of canceled road closure days, the new mount wasn’t built quite as quickly as someone high up in SpaceX would have hoped, the speed of the recovery from SN4’s destructive demise is still extremely impressive. For full-scale operations, SpaceX needs a strong metal structure capable of providing a Starship prototype the propellant, power, and communications links it needs to perform tests, as well as standing up to the weight of a full-loaded Starship (>1000 metric tons) and preventing the rocket from flying away during static Raptor engine tests. Additionally, the launch mount will eventually need to survive the fury of one and even three Raptor engines once Starships graduated to flight testing.
As of June 3rd, the replacement launch mount was partially-completed steel skeleton.
Barely two weeks later, SpaceX had flipped that skeleton, installed it on the actual launch mount table, finished all structural work, installed a conical frame to enable hydraulic ram testing to simulate Raptor engine thrust, and outfitted the mount with a wide variety of complex plumbing, wiring, and fixtures. The current design is about as simple as it can get but is still relatively complicated, with a wide range of systems that must work perfectly together throughout an equally wide range of temperatures and other stressful conditions.
Starship SN5’s installation on that replacement mount serves as a final confirmation that the new structure is more or less complete. Now SpaceX will be faced with the different challenges of christening the new launch mount and ensuring that it’s functioning as planned at the same time as Starship SN5 is attempting to do the same thing. The company also appears to have taken the previous launch mount’s demise as an opportunity to implement some minor design changes, all of which will also need to be tested and verified.
Delays are quite likely but Starship SN5 is currently scheduled to kick off its first test campaign as early as June 29th. SpaceX will likely begin with an ambient pressure test to check for leaks, followed by a cryogenic proof test with liquid nitrogen to confirm that SN5 performs as expected while subjected to the ultra-cold temperatures its liquid methane and oxygen propellant will be kept at. SN5 would then move into wet dress rehearsals (WDR) with live propellant and one or several static fires with a single Raptor engine. Finally, if that complex series of tests goes a little bit better than it did with SN4, Starship SN5 will become the first full-scale prototype to attempt controlled flight, hopping to at least 150m (~500 ft).
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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
