

News
SpaceX Falcon 9 rideshare launch to send a commercial lander to the Moon in 2019
According to a press release published on September 11 in conjunction with the 2018 World Satellite Business Week conference, satellite rideshare organizer Spaceflight Industries and SpaceX are on track for the first functionally dedicated rideshare mission to a relatively high-energy geostationary transfer orbit.
Expected to occur as soon as early 2019, Spaceflight has arranged the addition of “several undisclosed payloads” but was able to confirm that Israel-based company SpaceIL’s lunar lander spacecraft – deemed Sparrow – will be onboard Falcon 9 come launch, potentially paving the way for the first-ever commercial spacecraft landing on an extraterrestrial planet (or moon).
Did you hear? We're offering rideshare to GTO/GSO now. https://t.co/s5i9brlSqz
— Spaceflight (@SpaceflightInc) September 11, 2018
A bit more than “Uber for space”
Although any rocket or satellite launch on its own is already a sort of wildly complex symphony, rideshare missions – potentially carrying dozens of individual satellites – up the intensity by a significant degree, demanding magnitudes more separation events (i.e. satellite deployments), a labyrinth-like hell for the payload organizer tasked with herding dozens of distinct spacecraft into one payload fairing come launch time, and often multiple orbit drop-off points.
Still, at the cost of some amount of added risk (of both failures and launch delays) and less flexibility to pick and choose orbits, rideshare customers are granted launch prices that should – in theory – be fundamentally unbeatable with dedicated launches, using an entire rocket for no more than a handful of payloads. Intriguingly, at least in the case of Spaceflight Industry’s first organized rideshare to geostationary orbit, Falcon 9’s capabilities are truly unbeatable at SI’s cost per customer, thanks to the reality that such a high-energy orbit is functionally unreachable to the array of dedicated smallsat rockets with purportedly imminent commercial launch debuts (Rocket Lab, Virgin Orbit, Vector, and others).
Watch us assemble our payload stack for #SSO-A in just over a minute: pic.twitter.com/UFXAKWkNy1
— Spaceflight (@SpaceflightInc) October 4, 2017
Even more intriguingly, it appears that this rideshare will go so far as to offer a ride to a true, circular geostationary orbit for a few copassengers, versus the highly-elliptical parking orbit Falcon 9 will place the whole payload stack in. It has yet to be specifically confirmed what the primary (heaviest) payload will be for this inaugural geostationary rideshare, but nearly all available signs are pointing towards a fairly large (5000 kilogram) communications satellite built by Space Systems Loral (SSL). Further, the satellite itself will serve as the mode of transportation to carry a number of copassenger spacecraft from SpaceX’s geostationary transfer orbit to the final circular orbit roughly 22,500 mi (~36,000 km) above Earth’s surface.
Satellite rideshares, brought to you by the US military?
The story deepens further still. All available signs also suggest a high probability that this launch will become one of SSL’s first operational uses of a currently-experimental rideshare plan known as PODS, in which fairly small satellites would quite literally piggyback on large, commercial satellites into exotic and high-energy orbits, far beyond the low Earth orbits primarily available to rideshare payloads. This could open a whole new world of affordable, cubesat-style exploration, ranging from student-led missions with unprecedented reach to fleets of NASA-funded scientific smallsats, and perhaps even self-propelled interplanetary cubesats once miniature propulsion is available.
- An SSL graphic explains the company’s PODS technology. (SSL)
- This condensed User’s Guide lists the basics of PODS ridesharing. (SSL)
- Falcon 9 B1049 lifts off from SpaceX’s LC-40 pad on September 10, producing more than 1.7 million pounds of thrust.(Tom Cross)
- Falcon 9 Block 5 will be absolutely critical to the success (and even the basic completion) of Starlink. (Tom Cross)
Funded and sponsored to some extent by US military research agency DARPA, it just so happens that an SSL-built satellite launched by SpaceX six months ago – Hispasat 30W-6, March 2018 – successfully debuted that PODS rideshare technology in an experimental test, deploying a secret secondary satellite funded by DARPA. That success has apparently paved the way for future PODS rideshares, and it looks like SSL may be opting to contract out the specialized task of manifesting launches and wrangling multiple copassenger satellites to Spaceflight Industries.
The primary SSL-built spacecraft, likely Indonesia’s PSN-6 geostationary communications satellite, is expected to weigh approximately 5000 kg (~11,000 lb), while SpaceIL’s commercial Sparrow lunar lander and spacecraft is currently pegged around 600 kg (1300 lb). Aside from that duo, SSL PODS can support anywhere from one to several satellite deployer add-ons, and each copassenger spacecraft has a mass limit of 90-150 kg (~200-330 lb).
As a consequence, the final mass of those 3+ integrated satellites and their associated payload adapters could easily wind up around 6500-7000 kg, a payload SpaceX’s Falcon 9 Block 5 rocket has proven itself capable of handling (Telstar 18V and 19V), but only to a fairly low-energy geostationary transfer orbit (18,000 km vs. a full GTO’s 36,000 km apogee). It’s unclear how SpaceIL’s Sparrow lunar lander would handle a relatively low-energy insertion orbit, although the PSN-6 communications satellite would certainly be able to make up for the shortfall with its own propellant supply and rocket engines.
Prior to this geostationary rideshare, SpaceX and Spaceflight Industry’s first mission together – a rideshare of ~70 satellites to low Earth orbit – is expected to occur no earlier than October or November 2018 from Vandenberg Air Force Base, California.
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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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