

News
SpaceX Falcon 9 booster could be first to launch from all 3 company pads
A week after its original launch target, SpaceX launch engineers and technicians appear to have completed an additional suite of preflight checks that triggered an unusually long delay from November 19 to November 28.
As a sort of happy accident, the mission – a Spaceflight Industries rideshare carrying ~64 satellites – will not only be the first time SpaceX has launched a given Falcon 9 booster three times, but it will also become the first time SpaceX has launched the same Falcon 9 booster from all three of the company’s orbital launch facilities.
Standing down from Monday’s launch attempt of Spaceflight SSO-A: SmallSat Express to conduct additional pre-flight inspections. Once complete, we will confirm a new launch date.
— SpaceX (@SpaceX) November 17, 2018
Likely a matter of caution over expediency, that extra time was used to make sure that the mission’s twice-flown Falcon 9 B1046 booster is as ready as possible for its third launch, a subtle but absolutely critical milestone for Falcon 9 reusability. More importantly, from an operational standpoint, this is something that the company has simply never attempted, meaning that while it’s similar in concept to the numerous booster reuses SpaceX engineers and technicians have already pulled off, every aspect of B1046’s refurbishment and preparation for another launch is new territory for all.
In this sense, even the most minor observations and procedural developments are likely being documented with extreme care, paving the way for the systematic refurbishment of Block 5 boosters with 2+ launches on their manifest. Similar to how car mechanics know to look at and for dramatically different things depending on the age of the car and the time since its last maintenance, reusable rockets are likely to require an even more exotic and unintuitive approach to multi-flight maintenance and repair diagnostics. As such, it should come as little surprise that SpaceX chose to delay SSO-A a few days to ensure that the rocket is ready to safely place its payload in orbit.
Vandenberg Air Force Base SLC-4 looked great yesterday, Nov. 26, from the orbit of #DEIMOS2! Good luck @SpaceX for tomorrow's launch! 🚀 #KazSTSAT #Falcon9 pic.twitter.com/q2NmKv3k0c
— Deimos Imaging (@deimosimaging) November 27, 2018
Pecking orders
Aside from the extreme importance of its third launch, Falcon 9 B1046 will be subject to another rather unique situation. Barely a mile or two northeast of SpaceX’s SLC-4 launch complex, a ULA Delta IV Heavy rocket is assembled and nearly ready to place the National Reconnaissance Office’s classified NROL-71 satellite into a high-energy Earth orbit. If the extraordinarily expensive launch vehicle (~$350-400M) it sits atop of is any sign, NROL-71 is a massive satellite that cost the NRO anywhere from $500M to $2B to design, procure, and prepare for launch.
In other words, the sheer capital at risk has likely resulted in a bit of manifest and range jockeying between Falcon 9/SpaceX and Delta Heavy/ULA/NRO. Under normal circumstances, Falcon 9 B1046 could without a doubt perform a Return-To-Launch-Site (RTLS) recovery, sending the booster all the back to SLC-4 for a landing at LZ-4.
https://www.instagram.com/p/BqoCpFulAAx/
Instead, likely prevented from landing at LZ-4 due to the slight chance that Falcon 9 could impact at or around ULA’s launch pad in an off-nominal situation, SpaceX has decided to station drone ship Just Read The Instructions less than 30 miles (50 km) off the coast of Vandenberg Air Force Base. In this odd and unused landing mode, Falcon 9 will perform a sort of RTLS Lite, returning back in the direction of the launch site but not going far enough to actually reach it.
In doing so, B1046 will – fingers crossed – become the first Falcon 9 booster to land on both SpaceX drone ships and launch from all three of the company’s orbital facilities, LC-40 (Cape Canaveral Air Force Station), LC-39A (Kennedy Space Center), and SLC-4 (Vandenberg Air Force Base).
News
Tesla Model 3 gets perfect 5-star Euro NCAP safety rating
Tesla prides itself on producing some of the safest vehicles on the road today.

Tesla prides itself on producing some of the safest vehicles on the road today. Based on recent findings from the Euro NCAP, the 2025 Model 3 sedan continues this tradition, with the vehicle earning a 5-star overall safety rating from the agency.
Standout Safety Features
As could be seen on the Euro NCAP’s official website, the 2025 Model 3 achieved an overall score of 90% for Adult Occupants, 93% for Child Occupants, 89% for Vulnerable Road Users, and 87% for Safety Assist. This rating, as per the Euro NCAP, applies to the Model 3 Rear Wheel Drive, Long Range Rear Wheel Drive, Long Range All Wheel Drive, and Performance All Wheel Drive.
The Euro NCAP highlighted a number of the Model 3’s safety features, such as its Active Hood, which automatically lifts during collisions to mitigate injury risks to vulnerable road users, and Automatic Emergency Braking System, which now detects motorcycles through an upgraded algorithm. The Euro NCAP also mentioned the Model 3’s feature that prevents initial door opening if someone is approaching the vehicle’s blind spot.
Standout Safety Features
In a post on its official Tesla Europe & Middle East account, Tesla noted that the company is also introducing new features that make the Model 3 even safer than it is today. These include functions like head-on collision avoidance and crossing traffic AEB, as well as Child Left Alone Detection, among other safety features.
“We also introduced new features to improve Safety Assist functionality even further – like head-on collision avoidance & crossing traffic AEB – to detect & respond to potential hazards faster, helping avoid accidents in the first place.
“Lastly, we released Child Left Alone Detection – if an unattended child is detected, the vehicle will turn on HVAC & alert caregivers via phone app & the vehicle itself (flashing lights/audible alert). Because we’re using novel in-cabin radar sensing, your Tesla is able to distinguish between adult vs child – reduced annoyance to adults, yet critical safety feature for kids,” Tesla wrote in its post on X.
Below is the Euro NCAP’s safety report on the 2025 Tesla Model 3 sedan.
Euroncap 2025 Tesla Model 3 Datasheet by Simon Alvarez on Scribd
Elon Musk
USDOT Secretary visits Tesla Giga Texas, hints at national autonomous vehicle standards
The Transportation Secretary also toured the factory’s production lines and spoke with CEO Elon Musk.

United States Department of Transportation (USDOT) Secretary Sean Duffy recently visited Tesla’s Gigafactory Texas complex, where he toured the factory’s production lines and spoke with CEO Elon Musk. In a video posted following his Giga Texas visit, Duffy noted that he believes there should be a national standard for autonomous vehicles in the United States.
Duffy’s Giga Texas Visit
As could be seen in videos of his Giga Texas visit, the Transportation Secretary seemed to appreciate the work Tesla has been doing to put the United States in the forefront of innovation. “Tesla is one of the many companies helping our country reach new heights. USDOT will be right there all the way to make sure Americans stay safe,” Duffy wrote in a post on X.
He also praised Tesla for its autonomous vehicle program, highlighting that “We need American companies to keep innovating so we can outcompete the rest of the world.”
National Standard
While speaking with Tesla CEO Elon Musk, the Transportation Secretary stated that other autonomous ride-hailing companies have been lobbying for a national standard for self-driving cars. Musk shared the sentiment, stating that “It’d be wonderful for the United States to have a national set of rules for autonomous driving as opposed to 50 independent sets of rules on a state-by-state rules basis.”
Duffy agreed with the CEO’s point, stating that, “You can’t have 50 different rules for 50 different states. You need one standard.” He also noted that the Transportation Department has asked autonomous vehicle companies to submit data. By doing so, the USDOT could develop a standard for the entire United States, allowing self-driving cars to operate in a manner that is natural and safe.
News
Tesla posts Optimus’ most impressive video demonstration yet
The humanoid robot was able to complete all the tasks through a single neural network.

When Elon Musk spoke with CNBC’s David Faber in an interview at Giga Texas, he reiterated the idea that Optimus will be one of Tesla’s biggest products. Seemingly to highlight the CEO’s point, the official Tesla Optimus account on social media platform X shared what could very well be the most impressive demonstration of the humanoid robot’s capabilities to date.
Optimus’ Newest Demonstration
In its recent video demonstration, the Tesla Optimus team featured the humanoid robot performing a variety of tasks. These include household chores such as throwing the trash, using a broom and a vacuum cleaner, tearing a paper towel, stirring a pot of food, opening a cabinet, and closing a curtain, among others. The video also featured Optimus picking up a Model X fore link and placing it on a dolly.
What was most notable in the Tesla Optimus team’s demonstration was the fact that the humanoid robot was able to complete all the tasks through a single neural network. The robot’s actions were also learned directly from Optimus being fed data from first-person videos of humans performing similar tasks. This system should pave the way for Optimus to learn and refine new skills quickly and reliably.
Tesla VP for Optimus Shares Insight
In a follow-up post on X, Tesla Vice President of Optimus (Tesla Bot) Milan Kovac stated that one of the team’s goals is to have Optimus learn straight from internet videos of humans performing tasks, including footage captured in third person or by random cameras.
“We recently had a significant breakthrough along that journey, and can now transfer a big chunk of the learning directly from human videos to the bots (1st person views for now). This allows us to bootstrap new tasks much faster compared to teleoperated bot data alone (heavier operationally).
“Many new skills are emerging through this process, are called for via natural language (voice/text), and are run by a single neural network on the bot (multi-tasking). Next: expand to 3rd person video transfer (aka random internet), and push reliability via self-play (RL) in the real-, and/or synthetic- (sim / world models) world,” Kovac wrote in his post on X.
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