News
SpaceX’s Starship rocket just breathed fire for the first time (and survived)
SpaceX’s Starship rocket is a step closer to flight after the fourth full-scale prototype successfully fired up its high-performance Raptor engine for the first time and survived the ordeal.
By far the biggest technical milestone SpaceX’s Starship program has passed since its creation, the Starship serial number 4 (SN4) prototype’s May 5th static fire was just the latest in a series of rapid-fire tests completed over the last several days. The ship’s journey began back in late March when SpaceX technicians began integrating the first sections of its steel hull. Less than a month later, SpaceX officially completed Starship SN4’s tank and engine section – missing only a nosecone and header tanks – and rolled the rocket to the launch and test pad on April 23rd.
Barely two days later, Starship SN4 entered the testing phase, passing what CEO Elon Musk described as an “ambient pressure test” used to verify the structural integrity of the rocket’s propellant tanks with harmless nitrogen gas. Less than a day after that pressure test was completed, SpaceX kicked off a “cryogenic proof test” with the Starship – the same test that destroyed three full-scale prototypes in the five months prior.
In the early morning of April 26th, Starship SN4 thus became the first full-scale prototype to pass (and survive) a cryogenic proof test, in which the ship’s normal liquid oxygen and methane was replaced with similarly frigid but non-explosive liquid nitrogen. According to Musk, SN4 was only pressurized to 4.9 bar (~70 psi), quite a distance away from the ~8.5 bar needed for safe orbital flight but reportedly more than enough to perform a small flight test.
Of course, Starship SN4 would first have to complete a bevy of additional tests – all arguably riskier than the cryogenic proof test it was the first to pass. That second, more challenging phase of testing began six days later on May 2nd.
After some limited fueling effectively marking Starship SN4’s first partial wet dress rehearsal (WDR), SpaceX aborted the first test attempt on May 2nd. On May 3rd, Starship SN4 was successfully loaded with propellant once more and wound up performing what is known as a spin prime test with its lone Raptor engine. Over the course of a few hours, SpaceX then recycled (and rechilled) the ship’s methane propellant and successfully performed a preburner test, igniting two gas generators that spin up Raptor’s turbines and eventually mix in the combustion chamber.
Less than 24 hours later, SpaceX turned Starship SN4 around for the grand finale – an actual Raptor ignition test, also known as a static fire. Per NASASpaceflight’s unofficial livestream of the event, made possible thanks to local resident BocaChicaGal, Starship ignited its Raptor engine – a historic first for the launch vehicle program – at 8:57pm CDT on May 5th (01:57 UTC, May 6). Musk confirmed just a few hours after that the ignition test – lasting about 3 seconds – had been completed successfully.
With that crucial milestone now behind it, Starship SN4 – perhaps pending an additional test or two – should effectively be clear to begin preparations for a 150m (500 ft) hop test later this month. Almost entirely contingent upon receiving a Federal Aviation Administration (FAA) launch license, that process could be finished tomorrow or take several days – or even weeks – to complete. Starship already has landing legs installed and wont need a nosecone for such a short and slow hop, but SpaceX may also need to install some kind of attitude control system (likely gas thrusters) before SN4 can safely fly.
Stay tuned for updates as we learn more about when a full-scale SpaceX Starship is scheduled to fly for the first time.
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 –Â $0.41 Reported vs. $0.36 Expected
- Revenues –Â $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow –Â $1.444 billion
- Profit –Â $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
