News
SpaceX’s second Starship hop imminent after Raptor static fire test
SpaceX has successfully fired up a new Starship prototype’s Raptor engine, putting the company on track for its second Starship hop test as soon as this week.
The milestone comes not long after SpaceX Starship serial number 6 (SN6) completed its first cryogenic proof, a pressure test with liquid nitrogen (LN2) used to safely verify the structural integrity of tanks (and rockets, in particular). Measuring 9m (30 ft) wide and some 30m (~100 ft) tall, SpaceX rolled Starship SN6 from its Boca Chica, Texas factory to a nearby test and launch facility on August 11th and wrapped up its first acceptance test on August 16th.
Now, just seven days after its cryo proof, SpaceX has installed a new Raptor engine (SN29), prepared SN6 for a much riskier round of tests, and completed a static fire with said engine, leaving just one major step between the Starship and its hop debut. Of course, the process still had its fair share of hiccups.
SpaceX’s first SN6 static fire test window – published by Cameron County in the form of road closure notices – was set for 8 am to 8 pm CDT (UTC-5), August 23rd a few days after the Starship’s cryo proof. The first test attempt began around 9:30 am but was aborted soon after as SpaceX employees returned to the launch pad to (presumably) troubleshoot. The second attempt began around 2:30 pm, leaving a little less than half the test window available.
Attempt #2 very nearly managed to extract a static fire, aborting possibly a second or less before Raptor ignition around 3:41 pm. Once again, SpaceX teams returned to the pad after Starship was detanked and safed, briefly inspecting the general location of the rocket’s Raptor engine before once again clearing the pad around 6:30 pm. At long last, Starship SN6 began a smooth and fast flow that culminated in the ignition of Raptor SN29 around 7:45 pm, just 15 minutes before the end of SpaceX’s test window.
As with all SpaceX static fires, engineers must still analyze the data produced – and possibly inspect pad or rocket hardware – to verify vehicle health before proceeding into launch operations. Unlike all other SpaceX static fires, the company doesn’t announce the results of those tests – nor the solidified launch window – during prototype development programs. In the context of iterative aerospace development, while there may be such a thing as a “good” or “bad” test, all tests – as long as they’re performed safely and produce a large quantity of usable data – are essentially successful.
As such, it’s likely for the best that SpaceX doesn’t put the public focus on the “success” of any given test. Still, it means that unofficial educated guesses are typically the only way to determine the results of any given test and how those results impact the next steps. For SN6, the very broad-strokes conclusions one can draw from unofficial livestreams suggest that the Starship’s first Raptor static fire was a success. Assuming that the unknown cause(s) of the day’s two prior aborts were minor and easily rectified, SpaceX is likely exactly on schedule for Starship SN6’s first hop attempt.
SN6’s first flight is expected to be an almost identical copy of Starship SN5’s highly successful August 4th debut, following the same 150m (~500 ft) parabolic trajectory. Filed before SN6’s August 23rd static fire, SpaceX has penciled in Friday, August 28th for Starship SN6’s own hop debut. Thanks to the fact that SpaceX was able to complete both SN6’s cryo proof and static fire on the first day of their respective test windows, August 28th is likely well within reach. Stay tuned for updates as Starship SN6’s hop debut schedule solidifies.
Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.
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
