News
DeepSpace: Firefly set for smallsat industry’s second place trophy, Rocket Lab leads the pack
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In the race to a field dedicated smallsat launch vehicles, New Zealand startup Rocket Lab has already won first place, a fact that has been discussed several times in past Deep Space issues. After completing its first launch of 2019 on March 28th, Rocket Lab’s Electron rocket is ready for another mission as early as May 4th, a good sign for the company’s planned monthly launch cadence.
Despite Rocket Lab’s major success, there is plenty of room for additional competitors and/or complementary vehicles. Electron’s maximum payload hovers around ~225 kg (500 lb) to low Earth orbit (LEO), limiting its usefulness for any payloads that are larger than truly tiny satellites or in need of higher orbits. Also discussed on DeepSpace, there are 10+ serious startups with funding and hardware in work attempting to build said smallsat launch vehicles, ranging from the extremely tiny (Vector: 60 kg to LEO) to much larger rockets from companies like Relativity, ABL Space, and more. Firefly Space, however, is the startup that has arguably broken away from the pack in the last few months, firmly setting itself up to be second in line behind Rocket Lab.
Build, test, qualify
- Firefly’s major leaps forward came in December 2018 and then April 2019, both related to testing the completed upper stage of the company’s Alpha rocket.
- In December, the upper stage ignited for the first time. In April, the same upper stage successfully performed a mission-duration static fire that lasted a full 300 seconds (five minutes), the same length required for a rocket to reach orbit after separating from Alpha’s first stage.
- For any launch vehicle development program, the first successful mission-duration test fire of an integrated rocket stage is arguably one of the most important milestones, second only to the same hardware’s inaugural launch.
- Simultaneously, Firefly began integrated testing of the thrust section and Reaver engines that will be the basis of Alpha’s first stage. The rocket’s Lightning second stage engine has been tested extensively at this point in development, although the stage’s lone engine produces a maximum of ~70 kN (~16,000 lbf) of thrust.
- The booster’s four Reaver engines will each produce ~170 kN (55,000 lbf) of thrust, around three times as much as Lightning. Alpha’s second stage is critical, but its first stage is arguably far more complex.
- Despite the relative power differential, it’s still worth noting that Alpha’s entire first stage (736 kN/166,000 lbf) will be significantly less powerful than a single one of Falcon 9’s nine Merlin 1D engines (941 kN/212,000 lbf).
- Although Alpha is far smaller than rockets like Falcon 9 or Atlas V, it will nominally be capable of launching 1000 kg to an altitude of 200 km (LEO) or ~650 kg to a 500-km sun-synchronous orbit (SSO). This translates to around 4.2X the performance of Rocket Lab’s Electron at 2.5X the cost per launch ($15M vs $6M).
- Assuming no payload capacity is wasted, Alpha could thus be almost 50% cheaper than Electron when judged by cost per kilogram to orbit.
- Of course, this comparison ignores the fact that Firefly will have to far more heavily rely on booking co-passenger satellites to keep Alpha launch prices competitive with Electron.
- If exactly 1000kg or 630kg of cargo can’t be booked each launch, the expendable Alpha’s $15M launch cost will be distributed over less payload, raising costs for each customer. In other words, the competitive advantages of Alpha are almost entirely associated with its ability to launch payloads outside of Electron’s capabilities, as are its potential weaknesses.

Firefly Alpha’s upper stage qualification article (top) and a comparison of a variety of launch vehicles. (Teslarati)
The sweet spot
- In theory, Firefly Alpha’s could find itself in a relatively sweet spot, where the rocket’s launch costs are not so high that dedicated rideshare missions become intractable (i.e. Spaceflight’s SSO-A launch on Falcon 9) but its payload performance is still good enough to provide access to a huge swath of the space launch market.
- Firefly also has plans to develop a heavier launch vehicle based on Alpha, known as Beta. Conceptually equivalent to SpaceX’s Falcon Heavy, Beta would use three Alpha boosters and a significantly upgraded second stage and would be able to launch 4000 kg to LEO or 3000 kg to SSO.
- Regardless of Firefly’s grander aspirations, Alpha is poised to capitalize on the simple fact that it will be the second commercially viable smallsat launch vehicle to begin operations. Alpha’s first orbital launch attempt could occur as early as December 2019, although slips into early 2020 are to be expected.
- At that point, Rocket Lab’s Electron will be the only serious competition on the market. Relativity’s Terran and ABL Space’s RS-1 rockets plan to offer a competitive ~1250 kg to LEO or ~900 kg to SSO, but their launch debuts are tentatively scheduled no earlier than late 2020.
- If Alpha’s development continues smoothly, Firefly could easily have a solid 12-month head start over its similarly-sized competitors,
- Up next for Alpha is a similar campaign of tests focused on the first integrated booster, including tests fires and an eventual mission-duration qualification test.
Mission Updates
- SpaceX’s CRS-17 Cargo Dragon resupply mission has slipped an additional four days from April 30th to May 3rd (3:11 am EDT, 07:11 UTC) after the International Space Station (ISS) began suffering serious (but non-threatening) electrical issues. Additional launch delays could follow if the issue is not resolved in the next few days.
- The first operational Starlink launch remains firmly on track for NET mid-May. According to SpaceX, all Flight 1 satellites are already in Florida, while the FCC approved the company’s modified constellation license – permitting Starlink operations after launch – on April 26th.
- Due to CRS-17’s launch delays, the availability of SpaceX’s LC-40 pad will now likely be the main limiting factor for the Starlink-1 launch date.
- SpaceX’s second West Coast launch of 2019 – carrying Canada’s Radarsat Constellation – is now expected to occur no earlier than mid-June and will reuse Falcon 9 B1051.
- SpaceX’s launch of Spacecom’s Amos-17 spacecraft is now scheduled no earlier than July. Falcon Heavy Flight 3 is tentatively scheduled for launch as early as June 22 – all three boosters should be on site in Florida within the next week or two.
Photo of the Week:

(SpaceX)
The third Falcon Heavy center core – believed to be B1057 – was spotted eastbound in Arizona on April 16th. On April 26th, SpaceX confirmed that the booster completed its acceptance static fire test at the company’s McGregor, TX facilities, a sure sign that all of Falcon Heavy Flight 3’s major components should be in Florida within the next few weeks.
We’ll see you next week.
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Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.



