News
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.
-
- (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
News
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
Tesla Full Self-Driving v14.2.2.5 hit my car back on Valentine’s Day, February 14, and since I’ve had it, it has become, in my opinion, the most confusing release I’ve ever had.
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
It has been about three weeks of driving on v14.2.2.5; I’ve used it for nearly every mile traveled since it hit my car. I’ve taken short trips of 10 minutes or less, I’ve taken medium trips of an hour or less, and I’ve taken longer trips that are over 100 miles per leg and are over two hours of driving time one way.
These are my thoughts on it thus far:
Speed Profiles Are a Mixed Bag
Speed Profiles are something Tesla seems to tinker with quite frequently, and each version tends to show a drastic difference in how each one behaves compared to the previous version.
I do a vast majority of my FSD travel using Standard and Hurry modes, although in bad weather, I will scale it back to Chill, and when it’s a congested city on a weekend or during rush hour, I’ll throw it into Mad Max so it takes what it needs.
Early on, Speed Profiles really felt great. This is one of those really subjective parts of the FSD where someone might think one mode travels too quickly, whereas another person might see the identical performance as too slow or just right.
To me, I would like to see more consistency from release to release on them, but overall, things are pretty good. There are no real complaints on my end, as I had with previous releases.
In a past release, Mad Max traveled under the speed limit quite frequently, and I only had that experience because Hurry was acting the same way. I’ve had no instances of that with v14.2.2.5.
Strange Turn Signal Behavior
This is the first Full Self-Driving version where I’ve had so many weird things happen with the turn signals.
Two things come to mind: Using a turn signal on a sharp turn, and ignoring the navigation while putting the wrong turn signal on. I’ve encountered both things on v14.2.2.5.
On my way to the Supercharger, I take a road that has one semi-sharp right-hand turn with a driveway entrance right at the beginning of the turn.
Only recently, with the introduction of v14.2.2.5, have I had FSD put on the right turn signal when going around this turn. It’s obviously a minor issue, but it still happens, and it’s not standard practice:
How can we get Full Self-Driving to stop these turn signals?
There’s no need to use one here; the straight path is a driveway, not a public road. The right turn signal here is unnecessary pic.twitter.com/7uLDHnqCfv
— TESLARATI (@Teslarati) February 28, 2026
When sharing this on X, I had Tesla fans (the ones who refuse to acknowledge that the company can make mistakes) tell me that it’s a “valid” behavior that would be taught to anyone who has been “professionally trained” to drive.
Apparently, if you complain about this turn signal, you are also claiming you know more than Tesla engineers…okay.
Nobody in their right mind has ever gone around a sharp turn when driving their car and put on a signal when continuing on the same road. You would put a left turn signal on to indicate you were turning into that driveway if that’s what your intention was.
Like I said, it’s a totally minor issue. However, it’s not really needed, and nor is it normal. If I were in the car with someone who was taking a simple turn on a road they were traveling, and they signaled because the turn was sharp, I’d be scratching my head.
I’ve also had three separate instances of the car completely ignoring the navigation and putting on a signal that is opposite to what the routing says. Really quite strange.
Parking Performance is Still Underwhelming
Parking has been a complaint of mine with FSD for a long time, so much so that it is pretty rare that I allow the vehicle to park itself. More often than not, it is because I want to pick a spot that is relatively isolated.
However, in the times I allow it to pull into a spot, it still does some pretty head-scratching things.
Recently, it tried to back into a spot that was ~60% covered in plowed snow. The snow was piled about six feet high in a Target parking lot.
A few days later, it tried backing into a spot where someone failed the universal litmus test of returning their shopping cart. Both choices were baffling and required me to manually move the car to a different portion of the lot.
I used Autopark on both occasions, and it did a great job of getting into the spot. I notice that the parking performance when I manually choose the spot is much better than when the car does the entire parking process, meaning choosing the spot and parking in it.
It’s Doing Things (For Me) It’s Never Done Before
Two things that FSD has never done before, at least for me, are slow down in School Zones and avoid deer. The first is something I usually take over manually, and the second I surprisingly have not had to deal with yet.
I had my Tesla slow down at a school zone yesterday for the first time, traveling at 20 MPH and not 15 MPH as the sign suggested, but at the speed of other cars in the School Zone. This was impressive and the first time I experienced it.
I would like to see this more consistently, and I think School Zones should be one of those areas where, no matter what, FSD will only travel the speed limit.
Last night, FSD v14.2.2.5 recognized a deer in a roadside field and slowed down for it:
🚨 Cruising home on a rainy, foggy evening and my Tesla on Full Self-Driving begins to slow down suddenly
FSD just wanted Mr. Deer to make it home to his deer family ❤️ pic.twitter.com/cAeqVDgXo5
— TESLARATI (@Teslarati) March 4, 2026
Navigation Still SUCKS
Navigation will be a complaint until Tesla proves it can fix it. For now, it’s just terrible.
It still has not figured out how to leave my neighborhood. I give it the opportunity to prove me wrong each time I leave my house, and it just can’t do it.
It always tries to go out of the primary entrance/exit of the neighborhood when the route needs to take me left, even though that exit is a right turn only. I always leave a voice prompt for Tesla about it.
It still picks incredibly baffling routes for simple navigation. It’s the one thing I still really want Tesla to fix.
Investor's Corner
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet,” BoA wrote.
Tesla received a tip of the hat from major Wall Street firm Bank of America on Wednesday, as it reinitiated coverage on Tesla shares with a bullish stance that comes with a ‘Buy’ rating and a $460 price target.
In a new note that marks a sharp reversal from its neutral position earlier in 2025, the bank declared Tesla’s Full Self-Driving (FSD) technology the “leading consumer autonomy solution.”
Analysts highlighted Tesla’s camera-only architecture, known as Tesla Vision, as a strategic masterstroke. While technically more challenging than the multi-sensor setups favored by rivals, the vision-based approach is dramatically cheaper to produce and maintain.
This cost edge, combined with Tesla’s rapidly expanding real-world data engine, positions the company to scale robotaxis far more profitably than competitors, BofA argues in the new note:
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet.”
The bank now attributes roughly 52% of Tesla’s total valuation to its Robotaxi ambitions. It also flagged meaningful upside from the Optimus humanoid robot program and the fast-growing energy storage business, suggesting the auto segment’s recent headwinds, including expired incentives, are being eclipsed by these higher-margin opportunities.
Tesla’s own data underscores exactly why Wall Street is waking up to FSD’s potential. According to Tesla’s official safety reporting page, the FSD Supervised fleet has now surpassed 8.4 billion cumulative miles driven.
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
That total ballooned from just 6 million miles in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and a staggering 4.25 billion in 2025 alone. In the first 50 days of 2026, owners added another 1 billion miles — averaging more than 20 million miles per day.
This avalanche of real-world, camera-captured footage, much of it on complex city streets, gives Tesla an unmatched training dataset. Every mile feeds its neural networks, accelerating improvement cycles that lidar-dependent rivals simply cannot match at scale.
Tesla owners themselves will tell you the suite gets better with every release, bringing new features and improvements to its self-driving project.
The $460 target implies roughly 15 percent upside from recent trading levels around $400. While regulatory and safety hurdles remain, BofA’s endorsement signals growing institutional conviction that Tesla’s data advantage is not hype; it’s a tangible moat already delivering billions of miles of proof.
News
Tesla to discuss expansion of Samsung AI6 production plans: report
Tesla has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla is reportedly discussing an expansion of its next-generation AI chip supply deal with Samsung Electronics.
As per a report from Korean industry outlet The Elec, Tesla purchasing executives are reportedly scheduled to meet Samsung officials this week to negotiate additional production volume for the company’s upcoming AI6 chip.
Industry sources cited in the report stated that Tesla is pushing to increase the production volume of its AI6 chip, which will be manufactured using Samsung’s 2-nanometer process.
Tesla previously signed a long-term foundry agreement with Samsung covering AI6 production through December 31, 2033. The deal was reportedly valued at about 22.8 trillion won (roughly $16–17 billion).
Under the existing agreement, Tesla secured approximately 16,000 wafers per month from the facility. The company has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla purchasing executives are expected to discuss detailed supply terms during their visit to Samsung this week.
The AI6 chip is expected to support several Tesla technologies. Industry sources stated that the chip could be used for the company’s Full Self-Driving system, the Optimus humanoid robot, and Tesla’s internal AI data centers.
The report also indicated that AI6 clusters could replace the role previously planned for Tesla’s Dojo AI supercomputer. Instead of a single system, multiple AI6 chips would be combined into server-level clusters.
Tesla’s semiconductor collaboration with Samsung dates back several years. Samsung participated in the design of Tesla’s HW3 (AI3) chip and manufactured it using a 14-nanometer process. The HW4 chip currently used in Tesla vehicles was also produced by Samsung using a 5-nanometer node.
Tesla previously planned to split production of its AI5 chip between Samsung and TSMC. However, the company reportedly chose Samsung as the primary partner for the newer AI6 chip.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
