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[Update: fully stacked] SpaceX speeds up work on Starship with “hundreds” of upgrades
Update: Less than 24 hours after publishing, SpaceX began installing Starship SN15’s nose section, stacking the significantly upgraded rocket to its full 50m (~165 ft) height.
Excluding the installation of a few minor ‘aerocover’ surfaces used to smooth out the interface between Starship’s hull and four flaps, SN15 will effectively be complete and ready to roll to the launch pad as soon as its nose and tank sections have been welded together. Historically, for SN8-SN11, that process – including visual and radiographic (x-ray) inspections for quality assurance – has taken as few as one or two days, meaning that SN15 could technically be ready to roll out as early as Monday, April 4th.
Of note, SpaceX has already scheduled a road closure from 7am to noon CDT (UTC-5) on Monday – likely to transport a crane to the pad but potentially enough to get both a crane and SN15 to the launch site. Simultaneously, an upgraded or modified hydraulic ram – used to simulate the thrust of three Raptors – was already moved to the pad and installed on one of two suborbital launch mounts on Saturday, April 3rd, meaning that the pad will likely be ready for SN15’s installation tomorrow.
If SpaceX manages to complete both transport tasks on Monday, odds are very good that SN15 will be able to get through one or several qualification tests – including an ambient-temperature pressure test, cryogenic proof, wet dress rehearsal, and static fire – by the end of the week. Stay tuned for updates!
Beginning almost immediately after Starship SN11’s midair explosion earlier this week, SpaceX has accelerated work on a new Starship prototype upgraded with “hundreds of improvements.”
In November 2020, Musk first revealed plans to implement “major [Starship] upgrades” as early as prototype SN15, though the improvements involved in the first apparent Starship ‘block’ change were never detailed. On 30 March 2021, the same day as Starship SN11’s foggy, ill-fated launch debut, Musk confirmed that the SN15+ block upgrade would feature “hundreds of design improvements [to] structures, avionics, software, and [Raptor engines].”
Around the same time, after more than two months of little to not visible activity, work on Starship SN15 rapidly restarted in an apparent bid to achieve Musk’s stated goal of rolling the rocket to the launch pad “in a few days.”
Possibly due to a significant shift in focus from Starship mass-production to the construction of Boca Chica’s first orbital-class launch pad and flight tests of prototypes SN8 through SN11, Starship SN15 has been in the stacking and assembly phase since the turn of the new year. About a month ago, in early March, the rocket’s tank section was stacked to its full height and has been making slow progress in the weeks since – clearly not a pressing priority.
The day after SN11 exploded, SpaceX stacked the last two pieces of Starship SN11’s nose and joined their plumbing and avionics runs, more or less completing the upper third of the prototype. Both nosecone flaps were installed a few days prior. On the same day, March 31st, SpaceX rolled Starship SN15’s tank section (the bottom two-thirds of the rocket) out of Boca Chica’s ‘mid bay’ assembly building and installed both after flaps before moving the vehicle into the ‘high bay.’
With those steps complete, Starship SN15 should be just a few days away from nose installation, at which point it will need just a few more days of work before SpaceX will be ready to install the rocket on a transporter and roll it to the launch pad. It’s not implausible that that move will happen as early as next week, perhaps even leaving enough time for an acceptance test or two before the weekend.
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
