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SpaceX Crew-1 launch set for Sunday, ULA successfully launches spy satellite

The SpaceX Crew Dragon Resilience and Falcon 9 rocket at LC-39A ahead of the Crew-1 launch attempt. (Richard Angle)

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On Friday evening, Nov. 13, NASA and SpaceX announced that the first operational Commercial Crew Program mission of the Crew Dragon would be delayed 24 hours to Sunday, Nov. 15, at 7:27 pm EST (0027 GMT 11/16). During a Crew-1 pre-launch news conference, SpaceX’s senior director of the Human Spaceflight Programs, Benji Reed, stated that the delay was driven by impacts on recovery efforts caused by tropical storm Eta, which had plagued Florida for days.

Just prior to the news conference, United Launch Alliance(ULA) successfully launched its Atlas V rocket after suffering delays of its own earlier in the week. The NROL-101 mission carried a classified payload for the National Reconnaissance Office of the U.S. government and successfully launched from Space Launch Complex 41 (SLC-41) at Cape Canaveral Air Force Station at 5:32 pm EST.

A United Launch Alliance Atlas V 531 rockets liftsoff from Space Launch Complex 41 at Cape Canaveral Air Force Station just after sunset at 5:32pm EST. (Richard Angle)

Florida weather caused multiple launch delays

Weather, especially that caused by tropical storm Eta, has caused a domino effect of delays for SpaceX and ULA over the last few weeks. The ULA Atlas V 531 rocket stacked with the secretive NROL-101 payload, initially set to liftoff on Nov. 3, was first delayed by damage sustained to environmental control system hardware of the upper stage.

According to company CEO, Tory Bruno, as the rocket was transported from ULA’s vertical integration facility (VIF) to the launchpad of SLC-41, very high winds caused damage to a duct that controlled the flow rate of an upper payload environmental control system. As a result, the rocket was returned to the VIF to have the duct replaced. A launch attempt scheduled for the following day on Wednesday, Nov. 4, was called off due to an unrelated problem with ground support equipment.

A United Launch Alliance Atlas V 531 rocket on the SLC-41 launchpad ahead of a launch attempt of the NROL-101 mission for the National Reconnaissance Office. (Richard Angle)

The NROL-101 mission was then set to launch on Sunday, Nov. 8, but that attempt was eventually called off due to the impending weather that would be brought across the Florida peninsula by then hurricane Eta. On Friday, Nov. 6, the Atlas V 531 rocket and payload for the National Reconnaissance Office was once again returned to the VIF for protection from the storm.

A final launch attempt was identified for Friday, Nov. 13, just 22 hours before the scheduled launch of the SpaceX, NASA Crew-1 mission from nearby Launch Complex 39A at the Kennedy Space Center. Fortunately, the weather held out long enough for the ULA Atlas V 531 rocket to liftoff. Following liftoff and successful payload deployment the mission was later declared a full success by ULA.

The launch of the ULA Atlas V 531 rocket carrying a classified payload for the National Reconnaissance Office on November 13, 2020. (Richard Angle.)

Florida weather also caused offshore recovery delays, impacting crewed launch

Similarly, the SpaceX and NASA Crew-1 mission has also suffered setbacks due to inclement weather, although not at the launch site. Following the successful launch and landing of the B1062 Falcon 9 of the recent GPSII-SV04 mission on Thursday, Nov. 5, SpaceX recovery teams battled unsettled seas to return the booster and the recovery droneship, Of Course I Still Love You (OCISLY), safely back to Port Canaveral.

A SpaceX Falcon 9 and the Crew Dragon Resilience on the launchpad of LC-39A ahead of an launch attempt scheduled for Sunday, November 15 at 7:27pm EST. (Richard Angle)

After securing B1062 safely aboard OCISLY, the SpaceX recovery vessel GO Quest took refuge at the Port of Morehead City in North Carolina. The recovery crew would wait there to assist with the recovery of the B1061 Falcon 9 of the Crew-1 mission, rather than return to Port Canaveral in Florida. The droneship Just Read The Instructions (JRTI) was intended to meet the crew of GO Quest at the Crew-1 booster recovery zone prior to the end of the week.

Due to high winds and rough seas churned up by tropical storm Eta, the OCISLY droneship took an exceptionally tedious 7-day journey hugging the eastern coast of the United States to return to Port Canaveral. The delay caused the crew transfer process from OCISLY to JRTI to be delayed which in turn hindered the departure of the JRTI droneship.

As tropical storm Eta moved out and away from Florida the waters of the Atlantic remained too rough for the JRTI droneship to make up for the lost time. Following the conclusion of SpaceX’s Crew-1 preflight launch readiness review on Friday, Nov. 13, it was announced that the delay in getting the recovery droneship to the B1061 landing zone would delay the Crew-1 launch attempt by 24 hours.

Recovering the Falcon 9 booster, of any mission, is a secondary mission objective. However, the recovery of the Crew-1, B1061 Falcon 9 is important to both NASA and SpaceX – enough so to delay a launch attempt. NASA and SpaceX have already designated this booster to be reused on the next Crew Dragon mission, Crew-2, targeted for no earlier than March 30, 2021. In order to reuse a booster to save on launch costs, it must first be successfully recovered.

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The SpaceX Crew-1 Crew Dragon Resilience sits atop the B1061 Falcon 9 booster awaiting launch on Sunday, November 15, 2020. (Richard Angle)

If all goes to plan, three NASA astronauts and one astronaut from the Japan Aerospace Exploration Agency will climb aboard the Crew Dragon Resilience on Sunday, Nov. 15, and blast off to the International Space Station precisely at 7:27 pm EST (0027 11/16) from LC-39A at the Kennedy Space Center.

NASA and SpaceX will provide a hosted live broadcast of all Crew-1 events beginning at 3:15 pm EST on Sunday, Nov. 15, on NASA TV and on the SpaceX website.

Check out Teslarati’s newsletters for prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket launch and recovery processes.

Space Reporter.

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Tesla Full Self-Driving insurance program with heavy discount expands

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Lemonade has expanded its innovative Autonomous Car insurance program to Tennessee, giving Tesla owners in the state a substantial discount on Full Self-Driving (FSD) miles. Announced on August 3, the product offers 50 percent off every mile driven with FSD activated, positioning the digital insurer as a leader in pricing insurance around autonomous technology.

The program, marketed as Lemonade Autonomous Car insurance, uses a direct connection via Tesla’s Fleet API (with customer permission) to automatically distinguish FSD-engaged miles from manual driving. Policyholders pay a low base rate when the vehicle is stationary and a few cents per mile when moving, with the 50 percent reduction applied specifically to FSD miles.

Coverage includes standard protections such as liability, collision, comprehensive, roadside assistance, and Tesla-specific benefits like access to certified repair shops and emergency crash services. Eligible vehicles require Hardware 4, as well as recent firmware.

Lemonade first unveiled the product on January 21 of this year, describing it as a first-of-its-kind offering designed for self-driving cars, starting with Tesla FSD. It began rolling out in Arizona on January 26, followed by Oregon about a month later. Subsequent expansions brought it to Indiana in early June 2026 and Colorado later that month.

Tennessee marks the fifth state.

Tesla Full Self-Driving gets outrageous insurance offer with insanely cheap rates

The discount rests on Lemonade’s strong belief in the safety of Tesla’s FSD system. The company cites Tesla’s data showing that FSD-driven miles are twice as safe as those driven manually, or associated with roughly a 50 percent crash reduction.

Lemonade Co-founder and President Shai Wininger has emphasized this distinction: “Traditional insurers treat a Tesla like any other car, and AI like any other driver. But a car that sees 360 degrees, never gets drowsy, and reacts in milliseconds can’t be compared to a human.”

He added that “Teslas driven with FSD are involved in far fewer accidents” and committed that as FSD software improves and becomes safer, Lemonade’s prices will drop further.

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

This approach leverages Lemonade’s existing pay-per-mile technology and AI-driven risk models, which analyze nuanced vehicle data including software version and sensor performance. The company expects the model to reward higher FSD usage with greater savings while supporting mixed households that include both Tesla and non-Tesla vehicles under one policy. Bundling with home, renters, or pet insurance can yield additional discounts.

As autonomous driving technology advances, Lemonade’s state-by-state expansion of usage-based pricing that directly reflects real-world safety data represents a notable shift in how insurers evaluate risk.

Tesla owners in the five available states – Arizona, Oregon, Indiana, Colorado, and now Tennessee – can obtain quotes quickly through the Lemonade app or website, potentially lowering the overall cost of ownership for vehicles equipped with advanced driver-assistance systems. Further states are expected as regulatory approvals progress.

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Tesla quietly made the Cybertruck even stronger

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Credit: Tesla

Tesla has continued to flex the strength, rigidity, and robustness of its all-electric pickup, the Cybertruck. In fact, since 2019, Cybertruck’s ability to avoid dents, dings, and even gunfire has been one of the main selling points Tesla has used to attract buyers who are looking for a vehicle that can handle the most intense challenges.

But that does not mean Tesla is not still actively trying to make it even better.

In a new hardware update, Tesla has decided to change the material of the Cybertruck’s underbody panels from aluminum to carbon fiber, a move that aims to not only increase pricing efficiency but also improve strength.

RELATED:

Tesla Cybertruck is officially the safest pickup, IIHS says

Cybertruck Lead Engineer Wes Morrill confirmed the change was made to the Cybertruck recently after it was spotted by Coleton Guerin of Out of Spec. This particular trim level was a Cyberbeast, but it is being applied to all trims to keep supply chain efficiency high and have less variance across trim levels.

Morrill said that Tesla tested different materials for the underbody panel protection, and carbon fiber performed better than aluminum, which is what the company was using since its first deliveries in 2023.

Additionally, there are some efficiency improvements because Tesla can better form the areas around the bolts to keep underbody airflow cleaner than previously.

Carbon fiber is traditionally lighter and more durable than aluminum, which is why it is such a popular material among luxury automakers, and EV makers will utilize some of the materials around battery packs to save weight.

This is the first instance of Tesla utilizing carbon fiber on the Cybertruck’s exterior to help with overall performance and strength. As previously mentioned, Tesla used aluminum to protect the underside of the body, but it is pretty typical for the company to continue making engineering changes that will improve the car in the future.

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Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident

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Credit: Teslarati

Tesla released Full Self-Driving version 14.3.7 yesterday, and after about 90 miles of testing today, it is evident there are some definite fixes from version 14.3.6, which I wrote about last week and called a regression.

Within the first 40 minutes of my drive on v14.3.7, it saved me from getting into an accident with an unaware Dodge Charger driver, and some of the things Tesla seemed to miss in v14.3.6 were definitely improved. All in all, the release so far has some really great performance, and I’m looking forward to testing it further.

For now, here’s everything I noticed with v14.3.7:

Overall Improvement

Just generally speaking from a ride perspective, this was a really great experience. A lot of the hesitancy I experienced on v14.3.6 was gone. There were no instances of brake-stabbing, wheel-jerking, or any uncertain or unconfident movements. It was void of anything that I felt made it timid with v14.3.6.

The one thing I do hope to see down the road is a smaller need to adjust Speed Profiles so often. Because Tesla calls FSD “Supervised,” I’m okay with needing to hit the scroll wheel a few times a drive.

However, I hope that things can be incrementally improved upon with speed. Sometimes it’s too fast; other times it’s too slow. It’s a difficult thing to hone in and refine, but I hope it eventually gets there.

I didn’t notice any significant left lane camping or any behaviors that were completely out of line. I am hopeful that this opinion does not change, but after driving a few days with this version and putting it in a variety of different situations, you are exposed to more behaviors, some of which are not necessarily what I’d prefer.

The big things to notice, at least in my experience thus far, are that the major issues with previous versions — meaning the braking stabbing and wheel jerking — simply weren’t there. That’s enough to already consider this progress compared to .6.

Manual Signal Override is More Responsive

On .6, I had quite a few issues with FSD ignoring my manually input turn signals. If Tesla wants to call it “Supervised,” then the car should not ignore any input the driver gives. If I touch the accelerator on FSD, the car speeds up.

The car did a great job of obeying my turn signals when I wanted it to change lanes, which is welcome.

Parking Lot Performance

Before .6, I traditionally took over in nearly every parking lot my car entered, because I knew it would not park somewhere that I wanted, and usually, it was just a tad too timid in this setting.

The one bright spot of .6 was how well it handled parking lots. This continued with v14.3.7:

 

I’m always really happy to see progress at all, but once parking preferences come to FSD, as long as this performance is still around, that could potentially be the biggest improvement I’ve seen in FSD in the year I’ve been using it personally on a daily basis.

Full Self-Driving Averts Disaster

A Dodge Charger changed into my lane without checking if I was there, running me off the road. FSD made the initial avoidance maneuver; I grabbed the wheel out of instinct, looked in my side mirror to ensure I had nobody following closely behind, hit the brake, and straightened the car back up to avoid a curb:

There have been quite a few responses to this video stating that I should never have grabbed the wheel. To be honest, I really wish I had not done so, because I do believe FSD would have avoided any sort of collision with anything, including the car or the curb.

However, this was the first time I had ever been this close to being hit while using FSD. My natural reaction was to take over. I think if I had had something like this happen before, my reaction might have been different.

Hitting the brake avoided hitting the curb, while FSD swerved to avoid the car. My concern after the car was clear of my front end was the curb. All in all, I’m really happy with how things turned out, and I think anyone could be a critic of how I handled it. I only had a split second to really make a decision, and thankfully, any damage was avoided.

It is clear FSD managed to avoid the car coming down before I was able to. I truly credit FSD for avoiding the collision.

What Needs to Improve

Better Recognition of Potholes, Uneven Roads, Sharp Changes in Roadway/Bumps

On Friday, my Fianceè and I were in the car, and FSD was driving us. We crossed over a roadway that has a traffic light, and FSD was traveling at 40 MPH on Standard, 5 MPH over the speed limit. Everything was more than reasonable.

However, the road we were crossing at the light has a major bump both as you start and finish crossing it. Without a speed reduction, your car can go airborne. The Tesla did just this on Friday on v14.3.6; it was an uncomfortable bounce that pretty much confirmed I would not ever let FSD go over again unless we were sitting at that intersection when there is a red light.

I even tried scrolling down into Sloth quickly, but I ended up just taking over:

A few people have said it remains related to the vision-based approach and its difficulty comprehending 3D. This is a huge issue because this can cause serious damage at certain speeds.

Navigation

Nothing new here. I still turn off “Online Routing” quite frequently to get the car to take logical routes from time to time.

Auto Wipers

Auto Wipers are just plain bad. I really hope Tesla just uses a rain sensor. I thought they had improved at one point, but I still get dry wipes, Speed 4 on a drizzle, and Speed 2 on a steady rain. In reality, these should be switched.

You can watch our full review of Tesla Full Self-Driving v14.3.7 below:

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