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SpaceX wants to launch its next Starship ASAP

Starship SN10 is ironically front and center in this SN9 prelaunch photo published by SpaceX.

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Contrary to recent comments from CEO Elon Musk, SpaceX appears to be forging ahead at full speed in a bid to launch its next Starship ASAP.

Known as Starship serial number 10 (SN10), the prototype is the latest in a series of four ships SpaceX has ultimately set aside from low(er)-altitude development testing. Starship SN8 – the first functional prototype to reach its full height – debuted on December 8th, 2020, blowing expectations out of the water with a failure mere seconds before the end of a more than six-minute flight test. According to Musk, had a fuel tank remained properly pressurized from start to finish, SN8 could have very well stuck the landing on the first try.

Two months later, after the better part of two weeks of licensing and static fire test delays, Starship SN9 attempted to carry the torch forward but suffered an unrelated failure slightly earlier than SN8’s. One of two Raptor engines failed to ignite for a high-risk flip and landing burn, causing the Starship to impact the ground even more violently than its predecessor. It’s unclear why the ill-fated Raptor failed to ignite or why the engine that did ignite appeared to experience a major failure shortly thereafter but rocket propulsion is extraordinarily difficult – and Raptor is near – or at – the end of that scale.

While SpaceX obviously hasn’t spun around and fixed a complex Starship propulsion issue in a matter of days, Musk eventually revealed his opinion that he, his engineers, or some combination of both “were too dumb” to exploit one obvious way to mitigate the risk of engine failure during flip and landing. That ‘obvious’ tweak: reignite all three of Starship’s available landing engines, not just two.

In theory, with a fast-enough response time, Starship could ignite all three Raptors, perform a supercharged flip from a belly- to tail-down orientation, and selectively shut off one of the engines based on the data from what is essentially a midair static fire. In the event that all three engines are performing nominally, Starship would shut down the least useful engine (i.e. the Raptor with the least leverage) for a gentle two-engine landing burn.

A failed two-engine landing burn vs. a successful three-engine ascent burn. (SpaceX)

Impressively, Musk said that SpaceX would implement those changes immediately, attempting the first three-engine reignition as early as Starship SN10’s launch debut. Already at the launch pad when Starship SN9 lifted off, SpaceX revealed plans to launch SN10 as early as February 2021 at the end of SN9’s test flight webcast.

A few days prior to SN9’s ill-fated test flight, Musk had also stated that Starship SN10 would perform a “cryoproof” test and only then have its three Raptor engines installed. Instead, in an apparent change of plans, SpaceX installed Starship SN10’s Raptors – SN39, SN50, and an unknown third engine – from February 5th to 7th.

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On Sunday, local longtime resident Mary (aka BocaChicaGal) received an official safety alert from SpaceX, signaling plans for an explosive Starship test of some kind as early as Monday, February 8th. Historically, those overpressure safety warnings have only been distributed when SpaceX is preparing for a Starship static fire attempt. In other words, it’s possible that Starship SN10’s very first test could be a live wet dress rehearsal (WDR) with flammable liquid oxygen and methane propellant. If that WDR goes well, SpaceX could move directly into a one, two, or three-engine static fire.

Of course, as SN9’s lengthy test period rubbed in, Starship is still in the prototype stage and is far from a mature system, meaning that it’s always safer to expect delays than an on-time performance. To be clear, it’s far more likely that SpaceX will perform a familiar “cryo proof” test with non-flammable liquid nitrogen – perhaps hoping to complete a cryoproof and static fire in the same test window.

Either way, stay tuned for updates and follow along with NASASpaceflight’s excellent live coverage in the event that SpaceX really is prepared to static fire Starship SN10 between 9am and 6pm CST (UTC-6) on Monday.

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Tesla hints toward Premium Robotaxi offering with Model S testing

Why Tesla has chosen to use a couple of Model S units must have a reason; the company is calculated in its engineering and data collection efforts, so this is definitely more than “we just felt like giving our drivers a change of scenery.”

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Credit: Sawyer Merritt | X

Tesla Model S vehicles were spotted performing validation testing with LiDAR rigs in California today, a pretty big switch-up compared to what we are used to seeing on the roads.

Tesla utilizes the Model Y crossover for its Robotaxi fleet. It is adequately sized, the most popular vehicle in its lineup, and is suitable for a wide variety of applications. It provides enough luxury for a single rider, but enough room for several passengers, if needed.

However, the testing has seemingly expanded to one of Tesla’s premium flagship offerings, as the Model S was spotted with the validation equipment that is seen entirely with Model Y vehicles. We have written several articles on Robotaxi testing mules being spotted across the United States, but this is a first:

Why Tesla has chosen to use a couple of Model S units must have a reason; the company is calculated in its engineering and data collection efforts, so this is definitely more than “we just felt like giving our drivers a change of scenery.”

It seems to hint that Tesla could add a premium, more luxury offering to its Robotaxi platform eventually. Think about it: Uber has Uber Black, Lyft has Lyft Black. These vehicles and services are associated with a more premium cost as they combine luxury models with more catered transportation options.

Tesla could be testing the waters here, and it could be thinking of adding the Model S to its fleet of ride-hailing vehicles.

Reluctant to remove the Model S from its production plans completely despite its low volume contributions to the overall mission of transitioning the world to sustainable energy, the flagship sedan has always meant something. CEO Elon Musk referred to it, along with its sibling Model X, as continuing on production lines due to “sentimental reasons.”

However, its purpose might have been expanded to justify keeping it around, and why not? It is a cozy, premium offering, and it would be great for those who want a little more luxury and are willing to pay a few extra dollars.

Of course, none of this is even close to confirmed. However, it is reasonable to speculate that the Model S could be a potential addition to the Robotaxi fleet. It’s capable of all the same things the Model Y is, but with more luxuriousness, and it could be the perfect addition to the futuristic fleet.

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Rivian unveils self-driving chip and autonomy plans to compete with Tesla

Rivian, a mainstay in the world of electric vehicle startups, said it plans to roll out an Autonomy+ subscription and one-time purchase program, priced at $49.99 per month and $2,500 up front, respectively, for access to its self-driving suite.

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Credit: Rivian

Rivian unveiled its self-driving chip and autonomy plans to compete with Tesla and others at its AI and Autonomy Day on Thursday in Palo Alto, California.

Rivian, a mainstay in the world of electric vehicle startups, said it plans to roll out an Autonomy+ subscription and one-time purchase program, priced at $49.99 per month and $2,500 up front, respectively, for access to its self-driving suite.

CEO RJ Scaringe said it will learn and become more confident and robust as more miles are driven and it gathers more data. This is what Tesla uses through a neural network, as it uses deep learning to improve with every mile traveled.

He said:

“I couldn’t be more excited for the work our teams are driving in autonomy and AI. Our updated hardware platform, which includes our in-house 1600 sparse TOPS inference chip, will enable us to achieve dramatic progress in self-driving to ultimately deliver on our goal of delivering L4. This represents an inflection point for the ownership experience – ultimately being able to give customers their time back when in the car.”

At first, Rivian plans to offer the service to personally-owned vehicles, and not operate as a ride-hailing service. However, ride-sharing is in the plans for the future, he said:

“While our initial focus will be on personally owned vehicles, which today represent a vast majority of the miles to the United States, this also enables us to pursue opportunities in the rideshare space.”

The Hardware

Rivian is not using a vision-only approach as Tesla does, and instead will rely on 11 cameras, five radar sensors, and a single LiDAR that will face forward.

It is also developing a chip in-house, which will be manufactured by TSMC, a supplier of Tesla’s as well. The chip will be known as RAP1 and will be about 50 times as powerful as the chip that is currently in Rivian vehicles. It will also do more than 800 trillion calculations every second.

RAP1 powers the Autonomy Compute Module 3, known as ACM3, which is Rivian’s third-generation autonomy computer.

ACM3 specs include:

  • 1600 sparse INT8 TOPS (Trillion Operations Per Second).
  • The processing power of 5 billion pixels per second.
  • RAP1 features RivLink, a low-latency interconnect technology allowing chips to be connected to multiply processing power, making it inherently extensible.
  • RAP1 is enabled by an in-house developed AI compiler and platform software

As far as LiDAR, Rivian plans to use it in forthcoming R2 cars to enable SAE Level 4 automated driving, which would allow people to sit in the back and, according to the agency’s ratings, “will not require you to take over driving.”

More Details

Rivian said it will also roll out advancements to the second-generation R1 vehicles in the near term with the addition of UHF, or Universal Hands-Free, which will be available on over 3.5 million miles of roadway in the U.S. and Canada.

Rivian will now join the competitive ranks with Tesla, Waymo, Zoox, and others, who are all in the race for autonomy.

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Tesla partners with Lemonade for new insurance program

Tesla recently was offered “almost free” coverage for Full Self-Driving by Lemonade’s Shai Wininger, President and Co-founder, who said it would be “happy to explore insuring Tesla FSD miles for (almost) free.”

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Credit: Tesla

Tesla owners in California, Oregon, and Arizona can now use Lemonade Insurance, the firm that recently said it could cover Full Self-Driving miles for “almost free.”

Lemonade, which offered the new service through its app, has three distinct advantages, it says:

  • Direct Connection for no telematics device needed
  • Better customer service
  • Smarter pricing

The company is known for offering unique, fee-based insurance rates through AI, and instead of keeping unclaimed premiums, it offers coverage through a flat free upfront. The leftover funds are donated to charities by its policyholders.

On Thursday, it announced that cars in three states would be able to be connected directly to the car through its smartphone app, enabling easier access to insurance factors through telematics:

Tesla recently was offered “almost free” coverage for Full Self-Driving by Lemonade’s Shai Wininger, President and Co-founder, who said it would be “happy to explore insuring Tesla FSD miles for (almost) free.”

The strategy would be one of the most unique, as it would provide Tesla drivers with stable, accurate, and consistent insurance rates, while also incentivizing owners to utilize Full Self-Driving for their travel miles.

Tesla Full Self-Driving gets an offer to be insured for ‘almost free’

This would make FSD more cost-effective for owners and contribute to the company’s data collection efforts.

Data also backs Tesla Full Self-Driving’s advantages as a safety net for drivers. Recent figures indicate it was nine times less likely to be in an accident compared to the national average, registering an accident every 6.36 million miles. The NHTSA says a crash occurs approximately every 702,000 miles.

Tesla also offers its own in-house insurance program, which is currently offered in twelve states so far. The company is attempting to enter more areas of the U.S., with recent filings indicating the company wants to enter Florida and offer insurance to drivers in that state.

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