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SpaceX Mars landing expert talks Starship recovery challenges in new interview
Formerly responsible for developing Falcon 9 (and Heavy) into the routinely-landing reusable rocket it is today, senior SpaceX engineer Lars Blackmore says he now has one primary focus: figuring out how to land Starship on Earth, the Moon, and Mars.
A graduate of University of Cambridge and MIT, the latter of which interviewed him on October 23rd for an “Alumni Stories” blog, Lars Blackmore has become famous for his groundbreaking work in guidance, navigation, and control (GNC). After graduating with honors from Cambridge and earning a PhD from MIT, Dr. Blackmore joined NASA in 2007 and immersed himself in “precision Mars landing”, part of a more general focus on figuring out how to autonomously control vehicles in uncertain conditions.
In his last year at NASA, Blackmore co-invented an algorithm known as G-FOLD (Guidance for Fuel Optimal Large Divert) that should theoretically enable precision landings on Mars, improving the state of the art by two full orders of magnitude (+/- 10 km to +/- 100 m). In 2011, he departed NASA and joined SpaceX, where he lead the development of the GNC technology needed to successfully and reliably recovery Falcon 9 boosters. Although the same could be said for any number of critical, groundbreaking systems that had to be developed, the onboard software that autonomously guides Falcon 9 landings on the fly is one of many things that booster recovery and reuse would be wholly impossible without.
After numerous failed attempts, all part SpaceX’s preferred learning process, Falcon 9 successfully landed for the first time on December 21st, 2015. As they say, the rest is history: in the roughly four years since that milestone landing, SpaceX has successfully completed 57 orbital launches, recovered boosters 43 more times, and reused flight-proven boosters on 23 launches. Since that first success, more than half of all SpaceX launches have been followed by a successful booster landing (or two).
Back to Mars
In 2018, Dr. Blackmore officially took on a new full-time role as SpaceX’s Principal Mars Landing Engineer. As the namesake suggests, this meant handing (now semi-routine) Falcon 9 and Heavy GNC development to a strong team and beginning to tackle an array of new problems that will need to be solved for SpaceX to reach the Moon, Mars, and beyond.
Following radical design modifications made to Starship in 2018 and again in 2019, SpaceX is pursuing a radically different method of recovery with Starship (the upper stage), while Super Heavy will more directly follow in the footsteps of Falcon 9/Heavy. Starship, however, is being designed to perform a guided descent more akin to a skydiver falling straight down, using flaps at its nose and tail (explicitly “not wings”) to accurately guide its fall.
As little as a few hundred meters above the ground, Starship will then perform a radical maneuver, igniting its Raptor engines to flip around, burn in the opposite direction to counteract that sideways boost, and finally coming in for a precise landing on Earth/Mars/the Moon.
Beyond the new GNC software and knowledge needed to make that maneuver real, Blackmore is also responsible for Starship atmospheric entry, no less critical to enabling precise, repeatable landings from orbital velocity to touchdown. In his recent interview with University of Cambridge staff, Lars revealed that his role as Principal Mars Landing Engineer involved a far wider scope than his previous GNC-centered work, with the goal instead being to design a launch vehicle (Starship) from the ground up to be easily recovered and reused. Falcon 9 Block 5 may be radically different than the ‘V1.0’ rocket that debuted in 2010, but it’s still ultimately a product of retroactive engineering.
With Starship and Super Heavy, SpaceX instead wants to take the vast wealth of knowledge and experience gained from F9/FH and build the vehicle from the ground up to be optimized for full reuse. Ultimately, Dr. Blackmore stated that “landing Starship will be much harder than landing Falcon 9, but if [SpaceX] can do it, it will be revolutionary.”
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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 –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
