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DeepSpace: China tests SpaceX-reminiscent grid fins after iSpace snags orbital milestone
Eric Ralph · August 1st, 2019
Welcome to the latest edition of DeepSpace! Each week, Teslarati space reporter Eric Ralph hand-crafts this newsletter to give you a breakdown of what’s happening in the space industry and what you need to know.
Although the accomplishments aren’t quite as flashy as a launch to the Moon, the last week has featured a number of interesting developments and significant milestones from both the state-run and quasi-commercial wings of Chinese spaceflight.
In the commercial realm, Chinese startup iSpace became the country’s first commercial entity to successfully reach orbit, achieving the feat with a three-stage solid rocket called Hyperbola 1.
One day later, state-owned Chinese company China Aerospace Science and Technology Corporation (CASC) completed its 50th successful Long March 2 rocket launch on a relatively routine government spy satellite mission. Unique was the fact that the rocket marked the first flight test of grid fins – extremely similar to those used on SpaceX’s Falcon 9 – on a Long March rocket.
The march to orbit
- In 2019 alone, three Chinese spaceflight startups have made their first orbital launch attempts and more tries are planned in the second half of the year. OneSpace and LandSpace both got close but ended up suffering partial failures that cut their attempts short before safely reaching orbit.
- Enter iSpace: one of dozens of startups in a burgeoning Chinese commercial spaceflight industry, the company’s three-stage solid rocket – named Hyperbola 1 – became the first Chinese startup-launched rocket to successfully reach orbit on July 25th.
- Although a large amount of the hardware may well have been procured (or licensed) wholesale from CASC, the success still signifies the start of a new alternative to government launches for companies (and perhaps government agencies) seeking to launch smaller satellites.
- Hyperbola 1 stands about 21m (68 ft) tall, is 1.4m (4.6 ft) in diameter at its widest point, and weighs about 31 tons (68,000 lb) when fully fueled. Three solid rocket stages are followed by an extremely small fourth stage meant to circularize the payload(s) in low Earth orbit (LEO).
- The rocket is capable of launching as much as 260 kg (570 lb) to a 500 km (310 mi) sun-synchronous orbit (SSO).
- For iSpace, Hyperbola 1 is more of a stopgap measure as the company works to develop Hyperbola 2, a significantly larger launch vehicle meant to feature a reusable booster and internally-developed liquid rocket engines.
- Ultimately, Hyperbola 1 reaching orbit is an exciting milestone, but it will be far more significant when a Chinese startup reaches orbit with a launch vehicle it has truly designed and built itself. A number of companies aim to do just that next year (2020).
The sincerest form of flattery…
- A day later (July 26th) and approximately 1000 miles (1600 km) to the southeast, state-run corporation CASC was preparing for a routine launch of its Long March 2C rocket, carrying a trio of relatively small spacecraft for a government spy satellite constellation.
- Technically known as YW-30 Group-5, the launch was a routine success that just so happened to be the Long March 2 family’s 50th successful launch in more than 35 years. The family has only suffered one in-flight failure.
- Long March 2C is a two-stage rocket that stands 42m (138 ft) tall (shorter than Falcon 9’s first stage), 3.35m (11 ft) wide, and weighs ~233 tons (514,000 lb) fully fueled. The 2C variant is capable of launching ~3850 kg (8500 lb) into LEO and more than 1250 kg (2750 lb) into geostationary transfer orbit (GTO).
- Although the rocket’s 50th launch success milestone is worth recognizing, this particular launch wound up drawing a significantly greater amount of attention for an entirely different reason: attached to the outside of the Long March 2C’s booster interstage was a quartet of immediately familiar grid fins.
- SpaceX has grown famous in the last five or so years for its spectacularly successful Falcon 9 recovery and reusability, aided in no small part by grid fins used by the booster to retain aerodynamic control authority during its hypersonic jaunts through the atmosphere.
- The appearance of grid fins on a Chinese rocket – looking undeniably similar to SpaceX’s first-generation aluminum fins – raised some (moderately xenophobic) ire in the space community, with people falling back on the stereotype of the perceived willingness of Chinese people to flagrantly ‘copy’ ideas.
- Both the stereotype and the grid fin-stoked ire are arguably undeserved. SpaceX did not invent grid fins, nor did it invent the concept of using grid fins to guide suborbital projectiles.
- In fact, CEO Elon Musk would almost certainly be happy to see someone – anyone! – blatantly copy SpaceX’s approach to reusability. A blatant copy, while not exactly worthy of pride, is still a major improvement over companies sticking their heads in the sand and tacitly choosing insolvency and commercial irrelevance rather than admit that they were wrong and SpaceX was right.
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- (Pauline Acalin – Teslarati)
- According to CASC, this mission’s grid fins were included to flight-test their ability to more carefully guide the booster’s return to Earth. China infamously takes a… lax… approach to range safety, allowing spent boosters and fairings to haphazardly crash into inhabited areas, often containing remnants of their sometimes toxic propellant.
- Indeed, this particular booster did appear to crash in an uninhabited valley, be it thanks to those experimental grid fins or pure chance
- However, aside from not crashing large objects in populated areas, CASC and China have plans to develop a Long March 6 rocket with a reusable booster that will use the same recovery methods as Falcon 9. That rocket could fly as early as 2021 and July 26th’s grid fin test is an obvious sign that work is ongoing.
- If China manages to develop and launch a partially reusable rocket by 2021, they will be miles (and years) ahead of its space agency peers (NASA, ESA, CNES) and companies like ULA and Arianespace.
Thanks for being a Teslarati Reader! Stay tuned for next week’s issue of DeepSpace.
– Eric
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.”
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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.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
