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SpaceX releases photo of NASA astronauts testing in Crew Dragon spaceship

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In a rare instance of publicity, SpaceX has given the public the first detailed glimpse of a NASA astronaut practicing inside a mockup of Crew Dragon’s cockpit, wearing a sleek spacesuit designed and built by private rocket company.

Taken just over a month ago, the photos show astronauts Doug Hurley and Suni Williams familiarizing themselves with the most recent iteration of Crew Dragon’s cockpit, with a focus on the control systems and display system unique to SpaceX’s spacecraft. Boeing, for example, went with a more traditional set of controls, featuring a joystick and panels of physical buttons and switches alongside a pair of small screens, largely reminiscent of cockpits one might find in the many military and civilian aircraft the company’s non-space branches assemble.

SpaceX CEO Elon Musk recently showed off the first official photo of the company’s first flight-ready Crew Dragon capsule preparing for Demo Mission-1 (DM-1), an uncrewed orbital test flight of the brand new spacecraft intended to prove out its capabilities ahead of a true crewed test flight several months after. While officially showing launch dates no earlier than August 31 (DM-1) and December 31 (DM-2), sources familiar with the Commercial Crew Program say that SpaceX is currently tracking towards its first two demo flights sometime in Q4 2018 and H1 2019 respectively, and Musk’s brief comment that the DM-1 Crew Dragon was scheduled for shipment to the launch site (Kennedy Space Center) around August 2018.

Arrival at the launch site will entail its own series of extensive tests, many focusing on integrated the vehicle with its Falcon 9 Block 5 launch vehicle, perhaps the first time a flightworthy Crew Dragon is attached to a SpaceX rocket. The upgraded Falcon 9s (both new) tasked with launching those first two demonstration missions are themselves already under construction at SpaceX’s Hawthorne, CA factory: the rocket intended to launch the first crewed mission is having its propellant tanks welded, while the vehicle aiming to launch an uncrewed test later this year is likely on its way to final integration and easily recognizable as a rocket.

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SpaceX’s Crew Dragon, shown in an older render and a more recent graphic featured in NASA’s March 2018 Commercial Crew update. (SpaceX/NASA)

In fact, what can only be the second Block 5 Falcon 9 booster (B1047) was captured on May 30 by a member of the /r/SpaceX subreddit on the last leg of its journey from McGregor, Texas to Cape Canaveral, Florida, indicating that a Block 5 booster recently glimpsed at SpaceX’s Texas testing facilities is likely a separate rocket, B1048. The booster meant for Crew Dragon’s first flight was confirmed by NASA officials to be B1051 in a March 2018 briefing, and the sighting of B1047 bodes very well for B1051’s shipment from the Hawthorne factory to Texas for static fire testing in the next two or three months, followed by its own journey from Texas to Florida before launching the first Crew Dragon spacecraft into orbit.

Falcon 9 B1047 is believed to be preparing to launch the Telstar 19V communications satellite sometime next month. Meanwhile, SpaceX is currently targeting 12:27am EDT on June 1 for the launch of the SES-12 satellite aboard one of the company’s final three operational flight-proven Block 4 rockets, although mediocre weather conditions place the risk of a scrub at ~60%.

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.

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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.

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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.”

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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.

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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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