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SpaceX nails second Falcon 9 fairing catch ever with GO Ms. Tree, Elon Musk shares video

CEO Elon Musk posted a video - captured by drone - documenting Ms. Tree's second successful Falcon 9 fairing catch ever. (SpaceX)

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SpaceX CEO Elon Musk says that the company has successfully caught its second Falcon 9 fairing ever, an excellent sign that the GO Ms. Tree (formerly Mr. Steven) net-boat method has been refined to a point that reliable recovery (and, ultimately, reuse) is within reach.

SpaceX caught its first Falcon 9 fairing for the first time barely a month ago, snagging one of Falcon Heavy Flight 3’s two halves on July 25th in a milestone for the company’s fairing recovery program. On the very next attempt, SpaceX has successfully caught yet another fairing half after Falcon 9’s August 6th AMOS-17 launch. Depending on which half was caught in Ms. Tree’s net, SpaceX may now have a full set of flight-proven fairing halves that could potentially support SpaceX’s first fully flight-proven fairing launch in the near future.

In early July, SpaceX released a spectacular video offering snippets of Falcon Heavy Flight 3’s successful fairing catch from the moment of stage separation to the last moments before touchdown in Ms. Tree’s net. In that video, it very nearly looked as if SpaceX’s Falcon 9 fairing half was attempting to enter hyperspace.

SpaceX CEO Elon Musk says that a video of Ms. Tree’s second successful Falcon 9 fairing catch will be posted soon following the fairing’s gentle net touchdown 45-60 minutes after launch. It’s unclear what exactly led SpaceX to what appears to have been a tipping point in Falcon fairing recovery.

Prior to the first June 2019 catch, SpaceX had yet to successfully catch a single parasailing fairing despite more than half a dozen post-launch attempts and countless controlled drop tests over the course of nearly 12 months and major upgrades to Mr. Steven. More likely than not, the now-duplicated success can be attributed to a general refinement of all recovery components, ranging from the accuracy of GPS guidance and parafoil controls, as well is improvements to Ms. Tree’s own guidance.

Prior to shipping to the East Coast, Mr. Steven barely missed 2-3 successful Falcon fairing catches during several controlled drop tests. (SpaceX)
One half of SpaceX’s Iridium-6/GRACE-FO just moments before touchdown on the Pacific Ocean. (SpaceX)

GO Ms. Tree successfully replicating her first catch is undoubtedly a major leap forward for fairing recovery, proving that the first success was not just a fluke. Time will tell how easily recovered fairings can be reused but SpaceX is closer than anyone on Earth now that reliable catches – avoiding corrosive saltwater immersion – appear to be within reach.

SpaceX’s first successful Falcon fairing catch was preceded by a spectacular light show as the fairing reentered Earth’s atmosphere at hypersonic velocities. (SpaceX/Teslarati)

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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 just made its headlights even better through a software update

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Credit: @jojje167 on X

Tesla just upgraded its headlights through a software update, making them even better without any physical or hardware upgrade.

Tesla’s latest software update is quietly improving nighttime driving for a small number of owners. Version 2026.38 includes a new capability called Dynamic Headlight Leveling.

The feature automatically adjusts the aim of the low beams in response to driving conditions and nearby traffic, with the goal of giving the driver more usable light on the road while reducing glare for oncoming vehicles and traffic ahead.

Unlike Tesla’s matrix high-beam system, which selectively dims individual LED segments to create shadows around other cars, Dynamic Headlight Leveling physically tilts the low-beam projectors. Internal motors respond to changes in vehicle pitch.

When the car accelerates hard, climbs a steep grade, or carries extra weight in the rear, the headlights can otherwise point higher than intended. The software counters that movement in real time so the beam stays aimed at the road surface rather than into the eyes of other drivers.

Early indications reveal the update is reaching a limited set of vehicles, including certain Model 3 and Cybertruck examples in the United States and the United Arab Emirates. The rollout does not appear tied to a single hardware revision, and Tesla has not published a broader schedule. It is simply a common waiting game until your car receives it.

The change arrives against a backdrop of wider complaints about headlight glare. Some earlier Model 3 and Model Y vehicles were the subject of an NHTSA recall related to excessive low-beam glare; the software adjustment offers a potential mitigation for cars equipped with the necessary leveling hardware. It does not replace adaptive high beams where those are already available, nor does it alter the basic low-beam pattern itself.

Instead, it keeps an existing beam pointed where it is most useful.

For drivers who have received the update, the system requires no new settings or user input. The headlights simply respond as road conditions and traffic change. As the feature reaches more vehicles, it adds another example of Tesla using over-the-air software to refine existing hardware rather than waiting for a new model year. Nighttime visibility and reduced glare for others are the practical results owners are expected to notice first.

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Tesla teases “Halloween Mode” update with Optimus rising from a graveyard

Tesla’s Halloween teaser hides a covered vehicle and an Optimus hand rising from the ground.

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Tesla has started teasing a Halloween software update for its vehicles, with  a short clip on X that reads, “Halloween is coming.” The clip opens on a glowing pumpkin before pulling back to the car’s center touchscreen, where the usual parked visualization has been replaced by a graveyard scene, and the vehicle draped with a white sheet so it reads as a cartoon ghost.

The second detail is a robotic hand clawing its way out of the dirt like a zombie, which looks to be the hand of Tesla’s latest Optimus V3 humanoid robot. While Tesla still has not formally shown Optimus Gen 3 walking around in service, renders pulled from Tesla’s Android app last month gave the clearest look yet, including far more refined hands that Tesla has said carry 22 degrees of freedom. The hand has been the hardest part of the program. Musk has called it the majority of the robot’s engineering difficulty, and Tesla’s patents describe a design driven by tendons with the actuators moved into the forearm.

Tesla Optimus V3 hand and arm details revealed in new patents

Optimus also has a Halloween track record. Last October the robot handed out candy in Times Square, and a costumed “zombie” Optimus shuffled around the Tesla Diner in Los Angeles on Halloween night.

On the software side, Tesla’s 2025 Holiday Update expanded Santa Mode with a Santa sleigh, snowmen, snow effects, and a festive lock chime, so it wouldn’t be too far fetched if we saw something similar but themed for a  Halloween Mode.

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Tesla says fixes on Full Self-Driving’s two biggest issues are on the way

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Tesla Full Self-Driving is set to receive improvements to address its two biggest issues, according to a company engineer.

Director of Engineering at Tesla AI, Phil Duan, revealed in a post on X that improvements to both pothole avoidance and navigation “are coming,’ something we have heard many times in the past. However, there are a few things that seem to hint that things might be different this time around.

Pothole avoidance, navigation, speed control, and left lane camping are some of the most prevalent and frequently mentioned shortcomings of the Full Self-Driving suite. These are a few of the biggest issues that have kept Tesla Full Self-Driving as a Supervised suite, meaning drivers must remain attentive during operation.

Pothole Avoidance

Pothole avoidance was first mentioned as an “Upcoming Improvement” with the Tesla Full Self-Driving v14.3 update back in early April of this year. It was listed alongside “Expand reasoning to all behaviors beyond destination handling.”

Tesla is fixing Full Self-Driving’s pothole problem

It’s been six months since we first saw pothole avoidance explicitly mentioned, and it has not moved beyond that and joined the main release notes yet.

Tesla has not shed any light on why pothole avoidance has been such an issue for it to solve, but it also has issues identifying large bumps much of the time, so its modeling of sudden changes in road conditions is likely pretty weak at this particular point. I’ve had more issues with large bumps than potholes, personally, but both are issues that need to be resolved.

It makes sense that things might be pretty close to being released to the public, as we are going on such an extensive period of time between it being mentioned and it actually being deployed.

Navigation

Navigation is likely the most painful part of using Full Self-Driving, as it routinely takes strange routes, has trouble with local rules (like Except Right Turn Stop Signs in Pennsylvania), and sometimes does not realize that maneuvers it is suggesting are against the law. Turning out of my neighborhood, you cannot turn left, yet my Model Y still suggests it roughly 70 percent of the time when I’m leaving.

However, Tesla might be close to a breakthrough on this. With the Summer Update, Tesla added “Preferred Routes” alongside “Automatic Navigation.”

Preferred Routes prioritized roads that the driver had actually taken before, instead of always defaulting to what the vehicle believes is the most efficient path. This has already solved many of my issues. Formerly, I would turn off the Online Routing setting, and that would eliminate most of my complaints with routing, but then you lose out later on the Live Traffic Visualization.

Tesla’s Navigation has improved tremendously thanks to the Preferred Routes release with the Summer Update, but it still could use some polishing, as it still suggests strange routes from time to time, and it also has a lot of issues getting out of a parking lot. I find that those truly confuse FSD sometimes.

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