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DeepSpace: Chinese rocket startups make tangible progress on the path to orbital launch
In the last six or so months, a range of small Chinese rocket startups have begun to make serious progress in the nascent commercial industry, including several inaugural orbital launch attempts, extensive propulsion testing, and more. Rising above the fray are a handful of uniquely notable companies: Landspace, Linkspace, OneSpace, and iSpace (creative, I know).
While the names leave something lacking, several companies have truly impressive ambitions and can already point to major tech development programs as evidence for their follow-through. Linkspace is arguably the most interesting company with respect to what they are doing today, while Landspace has the ambition and expertise to build and launch some truly capable rockets in the near-term.
OneSpace & iSpace
- OneSpace recently made its first attempt at orbital launch after completing an OS-M1 rocket, nominally capable of placing 200 kg (450 lb) in a 300 km (190 mi) low Earth orbit (LEO). The March 2019 attempt failed 45 seconds into launch, likely caused by an improperly-installed gyroscope that guided the rocket in the wrong direction.
- This failure is by no means a bad thing. Reaching orbit on one’s first try is extraordinarily rare, particularly for private companies with no prior experience developing launch vehicles. SpaceX’s first three Falcon 1 launches failed before success was found on Flight 4. Rocket Lab’s Electron launch debut was forced to abort before reaching orbit due to faulty third-party communications equipment.
- OneSpace has several additional suborbital OS-X launches and may be able to attempt one additional OS-M1 orbital launch before the end of 2019.
- Down the road, the company wants to enhance its payload capabilities by adding additional solid rocket strap-on boosters to OS-M1 (designated M2 and M4). OS-M4 would be able to launch as much as 750 kg (1650 lb) into LEO.
- iSpace is in a similar boat. Its Hyperbola-1 rocket relies on three solid stages and a liquid fourth stage and is designed to place 300 kg (660 lb) into LEO. iSpace has plans to attempt the company’s first orbital launch as early as June 2019.
- Having already raised more than $100M in investment, iSpace also has strong backing for the development of its next-gen Hyperbola-2 rocket. The methalox-based vehicle will have a reusable booster capable of vertical landings and should be able to launch almost 2 tons to LEO. The rocket’s first launch is expected to occur no earlier than late 2020.



Linkspace
- In April 2019, Linkspace began flight-testing a sort of miniature version of SpaceX’s Falcon 9 Grasshopper testbed. Known as NewLine Baby, the small suborbital prototype is designed to improve the company’s technical familiarity with vertically landing orbital-class rocket boosters after missions. Thus far, hop testing has been a great success.
- Baby weighs 1.5 t (1100 lb), is 8.1m (27 ft) tall, and is powered by five liquid methane and oxygen (methalox) rocket engines.
- The company hopes to transfer the knowledge gained into NewLine-1, a partially reusable orbital-class rocket designed to place 200 kg in LEO. Linkspace could attempt their first orbital launch as early as 2021.
- The two-stage rocket’s booster would separate a few minutes into launch and attempt a vertical landing on a pad or boat, the same approach SpaceX has used with unprecedented success.
- The similarities with SpaceX’s Falcon 9 are honestly not the worst thing. SpaceX has no patent on vertically landing rockets and has never attempted to corner the industry. Copying a successful new paradigm is certainly better than doing nothing.
- (For the record, Blue Origin did the exact opposite and attempted to patent vertically landing rockets at sea in 2014, before the company had conducted a single serious launch and at the same time as SpaceX was already planning barge recoveries of Falcon 9 boosters.)
- One could even say that Linkspace and several other Chinese companies are actually doing better than industry heavyweights like ULA and Arianespace by simply embracing the new paradigm, as opposed to denial, pearl-clutching, and half-measure responses.
Landspace
- Finally, there is Landspace. Perhaps the most exciting company of the bunch, Landspace is developing a fairly large methalox launch vehicle named ZhuQue-2 (ZQ-2). Powered by several fairly large TQ-12 liquid rocket engines, ZQ-2 is designed to launch up to 4t (8800 lb) to an orbit of 200 km (120 mi) and would produce up to 2650 kN (600,000 lbf) of thrust at liftoff, about a third of SpaceX’s Falcon 9.
- The two-stage ZQ-2 is not currently being designed for reusability, but an upgraded three-stage variant (ZQ-2A) would feature a much larger payload fairing and improve payload performance to 200 km by 50%, from 4t to 6t.
- Landspace will attempt ZQ-2’s inaugural launch as early as 2020. Critically, the company is just completed the first full-scale prototype of the TQ-12 engine meant to power the rocket and could begin static fire tests just a month or two from now.
- Tianque-12 (TQ-12) is a fairly unique engine. Powered by liquid methane and oxygen (methalox), TQ-12 uses a gas-generator propulsion cycle and is designed to produce up to 80t (175,000 lbf) of thrust. In a sense, TQ-12 is basically a slightly less powerful methalox variant of SpaceX’s Merlin 1D engine.
- The fact that Landspace is already in a position to begin static fire tests of the engine powering its next-gen rocket bodes very well for the company’s future plans. At a minimum, it likely means that Landspace is much closer to offering multi-ton commercial launch services compared to its competitors.
- Aside from its next-gen ambitions, Landspace has also developed a much smaller three-stage rocket known as ZQ-1. Capable of launching up to 300 kg into LEO, ZQ-1 nearly reached orbit on its October 2018 launch debut, failing midway through its third-stage burn.
- For now, the Chinese launch startup scene is downright frenetic. The title of “first private Chinese company to reach orbit” has yet to be awarded, and more than half a dozen groups are practically racing to secure it.
Mission Updates:
- SpaceX’s CRS-17 Cargo Dragon spacecraft successfully rendezvoused and berthed with the ISS on May 6th.
- Potentially less than two weeks after the Falcon 9’s May 4th CRS-17 launch, SpaceX’s first dedicated Starlink mission is scheduled to occur as early as May 13th, although delays of a few days are likely.
- SpaceX’s second West Coast launch of 2019 – carrying Canada’s Radarsat Constellation – finally has an official launch date – June 11th. The mission will reuse Falcon 9 B1051.
- Falcon Heavy’s third launch remains tentatively scheduled no earlier than June 22nd.
Photo of the Week

Falcon 9 B1056 returned to dry ground less than 24 hours after launching CRS-17 and landing aboard drone ship Of Course I Still Love You (OCISLY). (Tom Cross)
News
Tesla Cybercab gets crazy change as mass production begins
Tesla has officially kicked off mass production of its groundbreaking Cybercab robotaxi at Giga Texas, and the first units rolling off the line feature a striking transformation that’s turning heads across the EV community.
Tesla Cybercab has evidently received a pretty crazy change from an aesthetic standpoint, as the company has made the decision to offer an additional finish on the vehicle as mass production is starting.
Tesla has officially kicked off mass production of its groundbreaking Cybercab robotaxi at Giga Texas, and the first units rolling off the line feature a striking transformation that’s turning heads across the EV community.
VIN Zero—the very first production Cybercab—showcases a vibrant champagne gold exterior with a high-gloss finish, a dramatic departure from the flat, matte-wrapped prototypes that debuted at the 2024 “We, Robot” event.
Presenting VIN Zero — the very first production Cybercab built at Giga Texas. pic.twitter.com/8bXo4CJAlr
— TechOperator (@TechOperator) April 23, 2026
This glossy sheen is a pretty big pivot from what was initially shown by Tesla. The company has maintained a pretty flat tone in terms of anything related to custom colors or finishes.
A specialized clear coat or process delivers the deep, reflective gloss without conventional painting. The result is a premium, mirror-like shine, and it looks pretty good, and gives the compact two-seater a more luxurious and futuristic presence than the subdued matte prototypes.
Photos shared by Tesla community members reveal VIN Zero in a showroom-like setting at Giga Texas, highlighting refined panel gaps, large aero wheel covers, and the signature no-steering-wheel, no-pedals interior optimized for full autonomy.
The open frunk in some images offers a glimpse of practical storage, while the overall build quality appears more polished than that of test mules.
This glossy evolution aligns with Tesla’s broader production ramp. After the first unit in February 2026, the company has shifted to volume manufacturing, with dozens of units already spotted in outbound lots. CEO Elon Musk and the team aim for hundreds per week, paving the way for unsupervised FSD robotaxi networks that could slash ride costs to pennies per mile.
The Cybercab holds Tesla’s grand ambitions of operating a full-service ride-hailing service without any drivers in its grasp. Tesla has yet to solve autonomy, but is well on its way, and although its timelines are usually a bit off, improvements often come through the Over-the-Air updates to the Full Self-Driving suite.
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Tesla confirms Cybercab with no steering wheel enters production
Tesla has confirmed today that its steering wheel-less and pedal-less Cybercab, the vehicle geared toward launching the company’s autonomous ride-hailing hopes, has officially entered production at its Giga Texas production facility outside of Austin.
The Cybercab is a sleek two-door, two-passenger coupe engineered from the ground up as an electric self-driving vehicle. It features no steering wheel or pedals, relying instead on Tesla’s advanced vision-only Full Self-Driving system powered by multiple cameras and artificial intelligence.
Purpose-built for autonomy
Cybercab in production now at Giga Texas pic.twitter.com/Y9qG3KyWBa
— Tesla (@Tesla) April 23, 2026
The minimalist cabin centers on a large display screen that serves as the primary interface for passengers, creating an open, futuristic space optimized for comfort during unsupervised rides. A compact 35-kilowatt-hour battery pack delivers exceptional efficiency at 5.5 miles per kilowatt-hour, providing an estimated 200-mile range.
Additional innovations include inductive charging compatibility and a lightweight design that enhances aerodynamics and performance.
Production at Giga Texas builds on earlier prototypes and initial units completed earlier in 2026. The facility, already a hub for Model Y and Cybertruck assembly, now ramps up dedicated lines for the Cybercab.
This shift to volume manufacturing reflects Tesla’s strategy to scale affordable autonomous vehicles rapidly.
By focusing on a dedicated platform rather than adapting existing models, the company aims to keep costs low while prioritizing safety and reliability through continuous AI improvements.
The Cybercab’s debut in production carries broad implications for urban mobility. As the cornerstone of Tesla’s Robotaxi network, it promises on-demand, driverless rides that could slash transportation expenses, reduce traffic accidents caused by human error, and lower emissions through its all-electric powertrain.
Accessibility features, such as space for service animals or assistive devices, further broaden its appeal. Regulators and cities worldwide will soon evaluate its deployment, but the vehicle’s design already addresses key hurdles in scaling unsupervised autonomy.
Challenges persist, including full regulatory clearance and building charging infrastructure. Yet this production launch signals momentum. With Cybercabs poised to roll out in increasing numbers, Tesla edges closer to a future where personal ownership meets shared fleets of intelligent vehicles.
The start of Cybercab production is more than just a new vehicle entering mass manufacturing for Tesla, as it’s a signal autonomy is near. Being developed without manual controls is such a massive sign by Tesla that it trusts its progress on Full Self-Driving.
While the development of that suite continues, Tesla is making a clear cut statement that it is prepared to get its fully autonomous vehicle out in public roads as it prepares to revolutionize passenger travel once and for all.
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Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much
There were two new lines of improvements in the release notes: one addressing Actually Smart Summon (ASS), and another that now allows drivers to choose a reason for an intervention via a small menu during disengagement.
Tesla Full Self-Driving v14.3.2 began rolling out to some owners earlier this week, and there are some notable improvements that came with this update.
There were two new lines of improvements in the release notes: one addressing Actually Smart Summon (ASS), and another that now allows drivers to choose a reason for an intervention via a small menu during disengagement.
Overall operation saw a handful of slight improvements, especially with parking performance, which has been the most notable difference with the arrival of FSD v14.3. However, there are still some very notable shortcomings, most notably with region-specific signage and navigation.
Tesla Assisted Smart Summon (ASS) improvements
There are noticeable improvements to ASS operation, which has definitely been inconsistent in terms of performance. Tesla wrote in the release notes for v14.3.2:
“Unified the model between Actually Smart Summon, FSD, and Robotaxi for more capable and reliable behavior.”
As recently as this month, I used Summon with no success. It had pulled around the parking lot I was in incorrectly, leaving the range at which Summon can be operated and losing a signal while moving in the middle of the lot.
This caused me to sprint across the lot to retrieve the vehicle:
It was pouring when I left the gym so I tried to Summon my Model Y
It turned the opposite way and drove out of range, stopping here and forcing me to walk even further across the lot in the rain for it 🤣
One day pic.twitter.com/iD10c8sriB
— TESLARATI (@Teslarati) April 5, 2026
Unfortunately, Summon was not dependable or accurate enough to use regularly. It appears Tesla might have bridged the gap needed to make it an effective feature, as two tests in parking lots proved that Summon was more responsive and faster to navigate to the location chosen.
It also did so without hesitation, confidently, and at a comfortable speed. I was able to test it twice at different distances:
🚨 Tesla FSD v14.3.2 ASS testing part 1
This was a significant improvement than recent tries using ASS. The parking lot was pretty empty but getting it to come to my location in one singular motion and maneuver was encouraging. https://t.co/vF7TS48GGV pic.twitter.com/sYt8tyHgNn
— TESLARATI (@Teslarati) April 23, 2026
Tesla Full Self-Driving v14.3.2 ASS testing part 2 https://t.co/lxfWfnLUxf pic.twitter.com/2R0r3ohI3M
— TESLARATI (@Teslarati) April 23, 2026
I plan to test this more thoroughly and regularly through the next few weeks, and I avoided using it in a congested parking lot initially because I have not had overwhelming success with Summon in the past. I wanted to set a low baseline for it to see if it could simply pull up to the place I pinned in the Tesla app.
It was two for two, which is a big improvement because I don’t think I ever had successful Summon attempts back-to-back. It just seems more confident than ever before.
New Disengagement Categories
This is a really good idea from Tesla, but there are some issues with it. The categories you can select are Critical, Comfort, Preference, and Other.
I think the reasons why people choose to take over would be a better way to prompt drivers, like, “Traveling Too Fast,” “Incorrect Maneuver,” “Navigation Error,” would be more beneficial.
I say this because it seems that how we each categorize things might be different. For example, I shared a video of an intervention because the car had navigated to an exit to a parking lot and put its left blinker on, despite left turns not being allowed there.
I disengaged and chose Critical as the reason; it’s not a comfort issue, it’s not a preference, it’s quite literally an illegal turn, and it’s also dangerous because it cuts across several lanes of traffic and is 180 degrees.
I chose to label this Navigation error as “Critical” while testing FSD v14.3.2
Here’s why:
✅ This intervention wasn’t “preference,” as the maneuver FSD routed was illegal
✅ If a police officer saw this maneuver, it would result in a ticket https://t.co/znhHb4haAo pic.twitter.com/bZOiLwWmQa— TESLARATI (@Teslarati) April 23, 2026
Some said I should not have labeled this as Critical, but that’s the description I best characterized the disengagement as.
Categorizing interventions is a good thing, but it’s kind of hard to determine how to label them correctly.
Inconsistency with Regional Traffic Patterns
Tesla Full Self-Driving is pretty inconsistent with how it handles regional or local traffic patterns and road rules. The most frequent example I like to use is that of the “Except Right Turn” stop sign, which has become a notorious sighting on our social media platforms.
In the initial rollout of v14.3, my Model Y successfully navigated through one of these stop signs with no issues. However, testing at two of these stop signs yesterday proved it is still not sure how to read signs and navigate through them properly.
🚨 Tesla FSD v14.3.2 attempts the “Except Right Turn” stop sign: https://t.co/W5MjAybaNK pic.twitter.com/P6oeUsk4PN
— TESLARATI (@Teslarati) April 23, 2026
Off camera, I approached another one of these signs and felt the car coming to a stop, so I nudged it forward with the accelerator pedal pressed.
This helped the car go through the sign without stopping, but I could feel the bucking of the vehicle as the car really wanted to stop.
Musk said on the earnings call earlier this week that unsupervised FSD would probably be available in some regions before others, including a state-to-state basis in the U.S.
“It’s difficult to release this like to everyone everywhere all at once because we do want to make sure that they’re not unique situations in a city that particularly complex intersection or — actually, they tend to be places where people get into accidents a lot because they’re just — perhaps there’s — and like I said, an unsafe intersection or bad road markings or a lot of weather challenges. So I think we would release unsupervised gradually to the customer fleet as we feel like a particular geography is confirmed to be safe.”
This could be one of those examples that Tesla just has to figure out.
Highway Operation
Full Self-Driving is already pretty good at routine roadway navigation, so I don’t have too much to report here.
However, I was happy with FSD’s decision-making at several points, including its choice not to pass a slightly slower car and remain in the right lane as we approached the off-ramp:
🚨 Tesla FSD v14.3.2 highway operation: generally happy with the performance here, especially behavior near the exit
Love that the car got over in the right lane after its final pass, and stayed there as the off ramp was approaching https://t.co/qVRVhg6XGR pic.twitter.com/1ELwHf2XKS
— TESLARATI (@Teslarati) April 23, 2026
Better Maneuvering at Stop Signs
Many FSD users report some strange operations at stop signs, especially four-way intersections where there is a stop sign and a line on the road, and they’re not even with one another.
I experienced this quite frequently and found that FSD would actually double stop: once at the stop sign and again at the line.
This created some interesting scenarios for me and I had many cars honk at me when the second stop would happen. Other vehicles that had waved me on to proceed through the intersection would become frustrated at the second stop.
FSD seems to have worked through this particular maneuver:
🚨 Tesla FSD v14.3.2 with a singular stop at the correct spot
No double stopping anymore in my experience https://t.co/Wd0TaNjc1R pic.twitter.com/CdQPvJHaAM
— TESLARATI (@Teslarati) April 23, 2026
FSD should know to go to the more appropriate location (whichever provides better visibility), and proceed when it is the car’s turn to move. The double stop really ruined the flow of traffic at times and generally caused some frustration from other drivers.