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SpaceX awarded three more NASA astronaut launch contracts
Three months after announcing its intent, NASA has procured three more Crew Dragon astronaut launches from SpaceX, raising the total number of operational missions the company is contracted to perform from six to nine.
NASA announced its plans to award additional contracts in December 2021 after releasing a half-hearted Request For Information (RFI) in October. That RFI, which seemingly lacked any real NASA support for an attempt to develop one or more additional crew transport vehicles, unsurprisingly produced the conclusion that the space agency should buy more flights from its existing providers.
Short of a second Commercial Crew Program (CCP), Boeing and SpaceX were thus the only options. Boeing, whose Starliner spacecraft has yet to successfully complete even an uncrewed test flight and remains years behind schedule, was apparently ruled out of this contract add-on. SpaceX, on the other hand, aced uncrewed and crewed Crew Dragon test flights in March 2019 and May 2020 and ultimately began operational astronaut transport missions in November 2020, making it the only logical option.
As such, NASA announced that it would award three more transport contracts to SpaceX, raising the total value of its Commercial Crew Transportation Capability (CCtCap) contract from about $2.6 billion to $3.49B. As of August 2019, NASA’s Office of the Inspector General (OIG) reported that of the original $2.6 billion SpaceX was awarded, the company planned to spend $1.2 billion on development and test flights and $1.4 billion on up to six operational Crew Dragon missions.


At the time, that meant that NASA intended to pay a total of ~$230 million for each of the first six Crew Dragon transport missions, each of which would carry four astronauts to and from the International Space Station and serve as a lifeboat in the six months between launch and landing. For NASA’s contract modification, the space agency will now pay the company no more than $890 million – up to $297 million apiece – for three more transport missions, each likely carrying four astronauts.
For missions seven through nine, NASA will thus pay an average of up to ~$74 million per seat – substantially more expensive than the ~$55 million per seat SpaceX’s first six Crew Dragon missions will cost the space agency. To be clear, there’s a chance that a significant fraction of the $890 million contract value increase actually came before the addition of three more missions, in which case NASA might instead be paying around $700-800 million or around $60-70M per seat for three more Dragon launches. Regardless, that’s cheaper than the ~$90 million per seat Boeing’s Starliner is expected to cost. At the end of NASA’s Soyuz ridesharing efforts, the agency was also being gouged for about ~$90 million per seat to launch its astronauts on Russian Soyuz missions.
Update: There is evidence that SpaceX’s total CCtCap contract value was about $2.74 billion before the addition of three more missions, meaning that NASA is likely paying SpaceX around $755 million or ~$63 million per seat – a more reasonable 15% increase over earlier pricing.


SpaceX remains on track to launch Crew-4 no earlier than (NET) 15 April 2022, Crew-5 NET October 2022, and Crew-6 NET February 2023. The company is now expected to complete all six of its first operational crew transport missions before Boeing’s Starliner spacecraft completes a single one. In fact, it’s increasingly plausible that SpaceX will launch all six of its original Crew missions before Starliner attempts its first crewed test flight – a milestone Crew Dragon passed in May 2020.
It remains to be seen when Starliner will finally become operational. If Boeing manages that feat by mid-2023, there’s at least a chance that Starliner and Crew Dragon will finally be able to start alternating launches, in which case NASA’s three extra Dragon launches might last until 2027. Starliner would then have three more missions remaining, allowing NASA to stretch its 15 existing Commercial Crew transport contracts as far as H2 2028.
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Tesla quietly flexes FSD’s reliability amid Waymo blackout in San Francisco
“Tesla Robotaxis were unaffected by the SF power outage,” Musk wrote in his post.
Tesla highlighted its Full Self-Driving (Supervised) system’s robustness this week by sharing dashcam footage of a vehicle in FSD navigating pitch-black San Francisco streets during the city’s widespread power outage.
While Waymo’s robotaxis stalled and caused traffic jams, Tesla’s vision-only approach kept operating seamlessly without remote intervention. Elon Musk amplified the clip, highlighting the contrast between the two systems.
Tesla FSD handles total darkness
The @Tesla_AI account posted a video from a Model Y operating on FSD during San Francisco’s blackout. As could be seen in the video, streetlights, traffic signals, and surrounding illumination were completely out, but the vehicle drove confidently and cautiously, just like a proficient human driver.
Musk reposted the clip, adding context to reports of Waymo vehicles struggling in the same conditions. “Tesla Robotaxis were unaffected by the SF power outage,” Musk wrote in his post.
Musk and the Tesla AI team’s posts highlight the idea that FSD operates a lot like any experienced human driver. Since the system does not rely on a variety of sensors and a complicated symphony of factors, vehicles could technically navigate challenging circumstances as they emerge. This definitely seemed to be the case in San Francisco.
Waymo’s blackout struggles
Waymo faced scrutiny after multiple self-driving Jaguar I-PACE taxis stopped functioning during the blackout, blocking lanes, causing traffic jams, and requiring manual retrieval. Videos shared during the power outage showed fleets of Waymo vehicles just stopping in the middle of the road, seemingly confused about what to do when the lights go out.
In a comment, Waymo stated that its vehicles treat nonfunctional signals as four-way stops, but “the sheer scale of the outage led to instances where vehicles remained stationary longer than usual to confirm the state of the affected intersections. This contributed to traffic friction during the height of the congestion.”
A company spokesperson also shared some thoughts about the incidents. “Yesterday’s power outage was a widespread event that caused gridlock across San Francisco, with non-functioning traffic signals and transit disruptions. While the failure of the utility infrastructure was significant, we are committed to ensuring our technology adjusts to traffic flow during such events,” the Waymo spokesperson stated, adding that it is “focused on rapidly integrating the lessons learned from this event, and are committed to earning and maintaining the trust of the communities we serve every day.”
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Waymo scrutinized after self-driving taxis cause traffic jams during SF blackout
It’s not farfetched to speculate that it would have been a doomsday scenario for Tesla had FSD behaved this way.
A power outage across San Francisco over the weekend forced numerous Waymo self-driving taxis to stop at darkened intersections and cause traffic blockages in multiple locations across the city. The disruption left riders stranded, frustrated drivers blocked, and city officials stepping in as the Alphabet-owned company temporarily suspended service amid the widespread gridlock.
Needless to say, it would likely have been a doomsday scenario for Tesla had FSD behaved in a similar way, especially if fleets of its robotaxis blocked traffic for numerous drivers.
Power outage halts Waymo fleet
The outage knocked out electricity for tens of thousands of customers, leaving traffic signals dark across large parts of the city, as noted in a report from the New York Times. Waymo vehicles began stopping at intersections and remained stationary for extended periods, seemingly unable to operate. Tow truck operators worked through the night removing immobilized vehicles, while videos circulated online showing Waymos with hazard lights flashing as traffic backed up around them.
Waymo later confirmed that it had paused its Bay Area ride-hailing service after the San Francisco mayor’s office contacted the company about the congestion its vehicles were contributing to. Service began coming back online shortly after 3:30 p.m. local time, though some users still reported being unable to request rides. Waymo maintained that no injuries or accidents were reported during the outage.
Autonomous cars during emergencies
The incident surprised industry observers since autonomous vehicles are designed to function during signal outages and temporary connectivity losses. Waymo stated that its vehicles treat nonfunctional signals as four-way stops, but “the sheer scale of the outage led to instances where vehicles remained stationary longer than usual to confirm the state of the affected intersections. This contributed to traffic friction during the height of the congestion.” Experts suggested the problem may have been linked to the vehicles’ reliance on remote assistance teams, which help resolve complex situations the cars cannot handle independently.
“Yesterday’s power outage was a widespread event that caused gridlock across San Francisco, with non-functioning traffic signals and transit disruptions. While the failure of the utility infrastructure was significant, we are committed to ensuring our technology adjusts to traffic flow during such events,” the Waymo spokesperson stated, adding that it is “focused on rapidly integrating the lessons learned from this event, and are committed to earning and maintaining the trust of the communities we serve every day.”
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Tesla aims to combat common Full Self-Driving problem with new patent
Tesla writes in the patent that its autonomous and semi-autonomous vehicles are heavily reliant on camera systems to navigate and interact with their environment.
Tesla is aiming to combat a common Full Self-Driving problem with a new patent.
One issue with Tesla’s vision-based approach is that sunlight glare can become a troublesome element of everyday travel. Full Self-Driving is certainly an amazing technology, but there are still things Tesla is aiming to figure out with its development.
Unfortunately, it is extremely difficult to get around this issue, and even humans need ways to combat it when they’re driving, as we commonly use sunglasses or sun visors to give us better visibility.
Cameras obviously do not have these ways to fight sunglare, but a new patent Tesla recently had published aims to fight this through a “glare shield.”
Tesla writes in the patent that its autonomous and semi-autonomous vehicles are heavily reliant on camera systems to navigate and interact with their environment.

The ability to see surroundings is crucial for accurate performance, and glare is one element of interference that has yet to be confronted.
Tesla described the patent, which will utilize “a textured surface composed of an array of micro-cones, or cone-shaped formations, which serve to scatter incident light in various directions, thereby reducing glare and improving camera vision.”

The patent was first spotted by Not a Tesla App.
The design of the micro-cones is the first element of the puzzle to fight the excess glare. The patent says they are “optimized in size, angle, and orientation to minimize Total Hemispherical Reflectance (THR) and reflection penalty, enhancing the camera’s ability to accurately interpret visual data.”
Additionally, there is an electromechanical system for dynamic orientation adjustment, which will allow the micro-cones to move based on the angle of external light sources.
This is not the only thing Tesla is mulling to resolve issues with sunlight glare, as it has also worked on two other ways to combat the problem. One thing the company has discussed is a direct photon count.
CEO Elon Musk said during the Q2 Earnings Call:
“We use an approach which is direct photon count. When you see a processed image, so the image that goes from the sort of photon counter — the silicon photon counter — that then goes through a digital signal processor or image signal processor, that’s normally what happens. And then the image that you see looks all washed out, because if you point the camera at the sun, the post-processing of the photon counting washes things out.”
Future Hardware iterations, like Hardware 5 and Hardware 6, could also integrate better solutions for the sunglare issue, such as neutral density filters or heated lenses, aiming to solve glare more effectively.