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SpaceX wins NASA funds to study a Falcon Heavy-launched Moon lander
NASA has announced a series of awards as part of its 2024 Moon return ambitions, providing up to $45.5M for 11 companies to study lunar landers, spacecraft, and in-space refueling technologies.
Among those selected for studies are SpaceX, Blue Origin, Masten Space, and the Sierra Nevada Corporation, alongside usual suspects like Boeing and Lockheed Martin. The chances of NASA actually achieving a crewed return to the surface of the Moon by 2024 are admittedly minuscule. However, with the space agency’s relatively quick three-month turnaround from accepting proposals to awarding studies, those chances of success will at least be able to continue skirting the realm of impossibility for now. In fact, SpaceX believes its Moon lander could be ready for a lunar debut as early as 2023.
Do the OldSpace Limbo!
Almost exactly 90 days (three months) since NASA released its lunar lander request for proposal (RFP), the 11 US companies selected for awards can now begin mature their designs, concepts of operations, and even build prototypes in a select few cases. At least based on the volume of awards and prototypes funded, the bulk of the $45.5M available for these studies unsurprisingly appears to have gone to Boeing and Lockheed. The duo of military-industrial complex heavyweights have maintained a decades-old stranglehold over NASA’s human spaceflight procurement.
In the last 13 years, the companies – combined – have carefully extracted no less than $35B from NASA, all of which has thus far produced a single launch of a half-finished prototype spacecraft (Orion) on a contextually irrelevant rocket (Delta IV Heavy) in 2014. The SLS rocket and Orion spacecraft remain almost perpetually delayed and are unlikely to complete their uncrewed launch debut until 2021, if not later.
SpaceX enters the lunar lander fray
“SpaceX was founded with the goal of helping humanity become a spacefaring civilization. We are excited to extend our long-standing partnership with NASA to help return humans to the Moon, and ultimately to venture beyond.”
– SpaceX President and COO Gwynne Shotwell
SpaceX was one of the 11 companies to receive NASA funding for a lunar lander-related design study. By all appearances, the company has been analyzing this potential use-case for some time. What they offer is significantly more complex than what NASA’s press release described as “one descent element study”. First and foremost, however, it must be stressed that these NASA funded studies – particularly those relegated to design, with no prototype builds – are really just concepts on paper. The NASA funding will help motivate companies to at least analyze and flesh out their actual capabilities relative to the task and time frame at hand, but there is no guarantee that more than one or two of the 11 studies will translate into serious hardware contracts.
Regardless of the many qualifications, SpaceX’s proposed descent module (i.e. Moon lander) is undeniably impressive. If SpaceX were to win a development contract, the lander would be based on flight-proven Falcon 9 and Crew Dragon subsystems wherever possible, translating into a vehicle that would have significant flight heritage even before its first launch. That first Moon landing attempt could come as early as 2023 and would utilize the performance of SpaceX’s own Falcon Heavy, currently the most powerful rocket in operation.
No renders have been released at this stage but it’s safe to assume that a SpaceX Moon lander would be somewhat comparable to Blue Origin’s just-announced Blue Moon lander, capable of delivering ~6.5t (14,300 lb) to the lunar surface. Rather than hydrogen and oxygen, SpaceX would instead use either Crew Dragon’s NTO/MMH propulsion or base the lander on Falcon 9’s extremely mature liquid kerosene/oxygen upper stage and Merlin Vacuum (MVac) engine.
Impressively, the SpaceX lander would aim for nearly double Blue Moon’s 6.5t payload capability, delivering as much as 12t (26,500 lb) to the surface of the Moon. That payload could either enable an unprecedentedly large crew capsule/ascent vehicle or permit the delivery of truly massive robotic or cargo payloads. Additionally, SpaceX believes that a descent stage with the aforementioned capabilities could potentially double as an excellent orbital transfer stage, refueling tug, and more. The lander would also serve as a full-up testbed for all the advanced technologies SpaceX needs to enable its goals of sustainable, reliable, and affordable solar system colonization.
Time will tell if NASA is actually serious about upsetting the status quo and getting to the Moon quickly and affordably, or if they will instead fall back on well-worn habits shown to minimize results and maximize cost. The White House recently proposed an additional $1.6B be added to NASA’s FY2020 budget, inexplicably choosing to take those funds from the federal Pell Grant system, which helps more than five million underprivileged Americans afford higher education. Regardless of the sheer political ineptitude involved in the proposed funding increase, even $1.6B annually (the WH proposal is for one year only) would be a pittance in the face of the spectacular inefficiencies of usual contractors Boeing and Lockheed Martin.
The telltale sign of which direction NASA’s lunar ambitions are headed will come when the agency begins to award actual development and hardware production contracts to one or several of the proposals to be studied. Stay tuned!
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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
