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NASA contracts SpaceX for a second crewed Starship Moon landing
NASA says it exercised a contract option to purchase a second crewed Starship Moon landing from SpaceX.
Aside from its general existence, though, very little else is known about the new contract. NASA has yet to discuss when it will launch or which Artemis mission it will be attached to. A step further, it’s not actually clear why two crewed “demonstrations” are needed or what the difference between those two missions is. But more importantly, a broader Artemis Program manifest overview published days later revealed that NASA has plans for a truly unusual gap in crewed Moon landings in the mid-2020s.
Mere days after the announcement, an official NASA schedule showing the agency’s plans for the Moon and Mars over the next ten years explicitly contradicted it, showing only two Starship HLS demonstrations: one uncrewed and one crewed. Assuming that was simply a matter of poor coordination, the graphic reveals another bizarre reality: NASA appears to be explicitly planning for a three-year gap between SpaceX’s first crewed Starship landing in 2025 and the next crewed Moon landing, which the graphic suggested might occur in 2028.
Every single crewed Apollo Program mission to the Moon – including one aborted circumlunar mission, two missions to lunar orbit, and six successful landings – happened in less than four years. As published, NASA’s current Artemis plan would be akin to completing Apollo 11 – the first crewed Moon landing – in 1969 and then sitting around and waiting until 1972 for the next landing attempt. It’s difficult to properly convey just how bizarre such a huge gap would be.
There are only two obvious possible explanations. First, NASA might prefer a multi-year delay between crewed Moon landings to building and launching another SLS Block 1 rocket, in which case the three-year landing gap is explicitly the fault of years of SLS Block 1B delays – specifically NASA and Boeing’s work on the rocket’s larger Exploration Upper Stage (EUS). Second, it could be the case that NASA and/or SpaceX expects Starship’s first crewed landing to be delayed by one or several years. In 2018, SLS Block 1B was expected to debut as early as 2024. In 2022, NASA now says Block 1B will debut no earlier than 2027, while the last Block 1 launch is NET 2025.
The first explanation is arguably much likelier given that structuring schedules based on the assumption of delays would make very little logistical sense. If SpaceX were to be ready on or close to the original schedule, that would leave NASA’s Moon landing program sitting on its hands for a third of a decade. In an alternative scenario, if NASA was planning to take full advantage of every year it has and SpaceX’s Starship demonstration was still delayed, the space agency would simply end up with more SLS and Orion hardware on hand than it planned for – only a problem if the rocket is literally incapable of launching more than once every year or two. There are few conceivable scenarios where having a mission waiting on a rocket would be preferable to having a rocket waiting for a mission
In other words, NASA probably doesn’t want to plan for a three-year gap between crewed Moon landings. Rather, the anchor NASA has chained the Artemis Program to – SLS and Orion – is likely giving it no choice in the matter. Worse, if SLS Block 1B and EUS development are as poorly managed as SLS Block 1, it’s possible – if not likely – that Artemis IV and V will slip another year or two. As a result, even in the likely scenario that SpaceX’s crewed HLS demonstration runs into a year or so of delays, there could still be a three or even four-year gap between crewed NASA Moon landings right when the program should be getting up to speed.
SpaceX, meanwhile, is privately developing Starship with the ultimate intent of landing humans on Mars. Without NASA’s interest and support, the Moon is a distraction from SpaceX’s real goals. Additionally, through NASA’s Human Landing System (HLS) program, SpaceX will be providing Starship as a service, meaning that the company will retain full rights to and ownership of any system that results. Put simply, there’s a real possibility that NASA’s seemingly extraordinary lack of motivation will create a scenario in which SpaceX could outgrow the space agency’s usefulness in the mid-2020s.
If, for example, SpaceX privately human-rates Starship for launches and entry, descent, and landing; it could use the Starship HLS lander it’s developed with NASA to land its own astronauts on the Moon without the need for SLS, Orion, or NASA. Given that the full extent of NASA’s Artemis Program ambitions appears to be one Moon landing per year, there would be plenty of room for SpaceX to perform multiple additional landings independent of NASA while the space agency’s contractors struggle to build and launch a single SLS rocket in the same time-frame.
Given the political power behind the SLS/Orion programs, it’s not clear if NASA will ever be willing or able to publicly support or take advantage of that logical and likely inevitable maturation of SpaceX’s Starship HLS capabilities. A crewed Moon mission – and especially a crewed Starship landing – successfully completed without the need for SLS or Orion could put NASA’s unsustainable rocket and spacecraft in a very uncomfortable position. Already, the HLS program has relegated SLS/Orion to the role of an Earth-Moon taxi service that just so happens to cost more than $4 billion per launch.
Above all else, uncertainty continues to reign over NASA’s longer-term human spaceflight plans – helped in no small part by the space agency’s lack of any obvious overarching strategy. NASA officials may religiously repeat phrases about how the Artemis Program aims to “sustainably” return humans to the Moon and pave the way to landing astronauts on Mars, but that doesn’t change the fact that the agency’s tangible, funded plans show virtually no evidence of serious preparations for either goal. Only time will tell where that rudderless ship ends up.
Elon Musk
Tesla Optimus V3 hand and arm details revealed in new patents
Two new patents, which were coincidentally filed on the same day as the “We, Robot” event back in October 2024, protect Tesla’s mechanically actuated, tendon-driven architecture.
Tesla is planning to soon reveal its latest and greatest version of the Optimus humanoid robot, and a series of new patents for the hands and arms, with the former being, admittedly, one of the most challenging parts of developing the project.
Two new patents, which were coincidentally filed on the same day as the “We, Robot” event back in October 2024, protect Tesla’s mechanically actuated, tendon-driven architecture.
The designs relocate heavy actuators to the forearm, route cables through a sophisticated wrist design, and employ innovative joint assemblies to achieve human-like dexterity while enabling lightweight construction and high-volume manufacturing.
Core Tendon-Driven Hand Architecture
The primary patent, which is titled “Mechanically Actuated Robotic Hand,” details a cable/tendon-driven system.
Actuators are positioned in the forearm rather than the hand. Each finger features four degrees of freedom (DoF), while the wrist adds two more.
Tesla’s Optimus V3 robot hand looks to have been revealed in a new international patent published today.
The patent describes a tendon/cable-driven hand:
• Actuators in the forearm
• Each finger has 4 degrees of freedom
• The wrist has 2 degrees of freedom
• Tendon-driven… pic.twitter.com/eE8xLEYSrx— Sawyer Merritt (@SawyerMerritt) April 16, 2026
Three thin, flexible control cables (tendons) per finger extend from the forearm actuators, pass through the wrist, and connect to the finger segments. Integrated channels within the finger phalanges guide these cables selectively—routing behind some joints and forward of others—to enable independent bending without unintended motion.
Patent diagrams illustrate thick cable bundles emerging from the wrist into the palm and fingers, with labeled pivots and routing guides. This setup closely mirrors human forearm-muscle and tendon anatomy, where most hand control originates proximally.
Advanced Wrist Routing Innovation
One of the standout features is the wrist’s cable transition mechanism. Cables shift from a lateral stack on the forearm side to a vertical stack on the hand side through a specialized transition zone.
Boom! @Tesla_Optimus 의 3세대 구조로 추정되는, 로봇 팔 및 관절에 대한 특허가 공개되었습니다.
아티클 작업에 들어가겠습니다.
1년 넘게 기다려 온, 정말 귀한 특허인데, 조회수 100만대로 터져줬으면 좋겠네요. 😉@herbertong @SawyerMerritt@GoingBallistic5 @TheHumanoidHub pic.twitter.com/CCEiIlMFSX
— SETI Park (@seti_park) April 16, 2026
This geometry significantly reduces cable stretch, torque, friction, and crosstalk during combined yaw and pitch wrist movements — common failure points in simpler tendon systems that cause imprecise or jerky motion.
By minimizing these issues, the design supports smoother, more reliable multi-axis wrist operation, essential for complex real-world tasks.
Companion Patents on Appendage and Joint Design
Two supporting patents provide additional depth. “Robotic Appendage” covers the overall forearm-to-palm-to-finger assembly, with a palm body movably coupled to the forearm and finger phalanges linked by tensile cables returning to forearm actuators. Tensioning these cables repositions the phalanges precisely.
“Joint Assembly for Robotic Appendage” describes curved contact surfaces on mating structures paired with a composite flexible member. This allows smooth pivoting while maintaining consistent tension, enhancing durability, and simplifying assembly for mass production.
Executive Insights on Hand Development Challenges
Tesla executives have consistently described the hand as the most difficult component of Optimus.
Elon Musk has called it “the majority of the engineering difficulty of the entire robot,” emphasizing that human hands possess roughly 27–28 DoF with an intricate tendon network powered largely by forearm muscles. He has likened the challenge to something “harder than Cybertruck or Model X… somewhere between Model X and Starship.”
In mid-2025, Musk acknowledged that Tesla was “struggling” to finalize the hand and forearm design. By early 2026, he stated that the company had overcome the “hardest” problems, including human-level manual dexterity, real-world AI integration, and volume production scalability.
He estimated the electromechanical hand represents about 60 percent of the overall Optimus challenge, compounded by the lack of an existing supply chain for such precision components.
These patents directly tackle the acknowledged pain points: relocating actuators reduces hand mass and inertia for better speed and efficiency; advanced wrist routing and joint geometry address friction and crosstalk; and simplified, stackable parts visible in the diagrams indicate readiness for high-volume manufacturing.
Implications for Optimus Production and Leadership
Collectively, the patents portray the Optimus v3 hand not as a mere prototype, but as a production-oriented system engineered from first principles.
The 22-DoF architecture, forearm-driven tendons, and crosstalk-minimizing wrist deliver a clear competitive edge in dexterity. They align with Musk’s view that high-volume manufacturing is one of the three critical elements missing from most other humanoid projects.
For Optimus to become the most capable humanoid robot, its hand needed to replicate the useful and applicable design of the human counterpart.
These filings demonstrate that Tesla has transformed years of engineering challenges into patented, elegant solutions — positioning the company strongly in the race toward general-purpose robotics.
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.
Tesla Optimus V3 hand and arm details revealed in new patents
Tesla intertwines FSD with in-house Insurance for attractive incentive
