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SpaceX, Boeing astronaut spacecraft working towards orbital meet-up in 2020
According to Boeing’s new Starliner testing plan, the spacecraft could potentially meet SpaceX’s own Crew Dragon astronaut spacecraft in orbit at the International Space Station (ISS) later this year.
Following Starliner’s near-catastrophic December 2019 orbital flight test (OFT), Boeing and NASA have finally announced that – at a minimum – a second uncrewed flight test will have to be completed before the company will be allowed to launch astronauts. According to the Washington Post, Starliner’s return to flight is expected to occur no earlier than October or November 2020, 10 or 11 months after it suffered several major software failures during its first spaceflight. While delays to that flight schedule are incredibly likely, it does mean that there’s a chance that SpaceX’s second crewed Crew Dragon launch could coincide with Starliner’s second orbital mission — a first for the two NASA Commercial Crew Program (CCP) providers.
Just one week before NASA and Boeing revealed plans to refly Starliner’s uncrewed flight test, NASA announced that SpaceX’s first operational Crew Dragon launch now has a full four astronauts assigned to it. Scheduled to launch no earlier than Q4 2020, the spacecraft will carry three NASA astronauts and one Japanese (JAXA) astronaut to the ISS, remaining in orbit for at least six months before returning its crew back to Earth. Now, there’s a chance that SpaceX’s first operational Crew Dragon will be joined in orbit by Boeing’s Starliner spacecraft sometime soon after arriving on station.
As previously discussed on Teslarati, Boeing’s Starliner OFT suffered several near-catastrophic close calls in the few days it spent in space, all of which appear to have egregiously shoddy and unqualified software to blame.
“Starliner launched atop a ULA Atlas V rocket on its orbital launch debut (OFT) on December 20th, 2019. Atlas V performed flawlessly but immediately after Starliner separated from the rocket, things went very wrong.
Bad software ultimately caused the spacecraft to perform thousands of uncommanded maneuvering thruster burns, depleting a majority of its propellant before Boeing was able to intervene. Starliner managed to place itself in low Earth orbit (LEO), but by then it had nowhere near enough propellant left to rendezvous and dock with the ISS – one of the most crucial purposes of the flight test. Unable to complete that part of the mission, Boeing instead did a few small tests over the course of 48 hours in orbit before commanding the spacecraft’s reentry and landing on December 22nd.
The Starliner spacecraft also reportedly almost suffered a second major software failure just hours before reentry. According to NASA and Boeing comments in a press conference held only after news of that second failure broke, a second Starliner software bug – caught only because the first failure forced Boeing to double-check its code – could have had far more catastrophic consequences. NASA stated that had the second bug not been caught, some of Starliner’s thruster valves would have been frozen, either entirely preventing or severely hampering the spacecraft’s detached trunk from properly maneuvering in orbit. Apparently, that service module (carrying fuel, abort engines, a solar array, and more) could have crashed into the crew module shortly after detaching.”
Teslarati.com — February 11th, 2020
The only sane response was obviously for NASA to require Boeing to successfully complete a second Orbital Flight Test (OFT), a necessary decision the space agency and card-holder was bizarrely hesitant to acknowledge. Now, almost four months after Starliner was nearly lost on its first orbital flight test, NASA and Boeing have finally stated the obvious and confirmed that a second OFT will be required before astronauts can fly on Starliner. Even then, if things go wrong during OFT2 or Boeing completes the mission but still fails to rectify all faults identified by a joint failure investigation, NASA may still delay the spacecraft’s astronaut launch debut.
SpaceX has undeniably had its own stumbles while developing Crew Dragon, most notably when the first successfully flight-proven spacecraft violently exploded moments before a static fire test in April 2019. SpaceX was able to rectify the responsible design flaws and successfully complete an identical static fire test less than seven months later, followed by a second successful launch less than three months after that. Based on WaPo’s indication that Starliner’s second OFT is scheduled for Q4 2020, Boeing is now anywhere from 12-18 months behind SpaceX with its efforts to launch NASA astronauts to and from the space station. SpaceX successfully completed Crew Dragon’s OFT equivalent in March 2019.
Regardless, if Crew Dragon performs flawlessly during its Demo-2 astronaut launch debut – scheduled no earlier than mid-to-late May – and Boeing’s Starliner OFT2 mission launches on time in Q4 2020, there is a great chance that both spacecraft will be simultaneously docked to the space station. Better circumstances would be unequivocally preferable but it will still mark an important symbolic milestone for NASA’s Commercial Crew Program (CCP) and assured access to the ISS.
News
Tesla intertwines FSD with in-house Insurance for attractive incentive
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.
Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.
The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.
The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.
Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.
The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.
Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.
For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.
Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.
The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.
Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.
Elon Musk
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.
But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”
He said that AI4 is enough to do that.
Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.
Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.
But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.
On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).
Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.
Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.
Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.
In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.
The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.
Elon Musk
Elon Musk signals expansion of Tesla’s unique side business
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.
Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.
Sure
— Elon Musk (@elonmusk) April 15, 2026
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.
Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.
The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.
The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.
Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.
The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.
Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.
If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.
Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
