News
A SpaceX surprise: Falcon Heavy booster landing to smash distance record
In an unexpected last-second change, SpaceX has moved Falcon Heavy Flight 3’s center core landing on drone ship Of Course I Still Love You (OCISLY) from 40 km to more than 1240 km (770 mi) off the coast of Florida.
Drone ship OCISLY is already being towed to the landing site, necessary due to the sheer distance that needs to be covered at a leisurely towing pace. The current record for distance traveled during booster recovery was set at ~970 km by Falcon Heavy center core B1055 in April 2019. If successful, Falcon Heavy center core B1057 will smash that record by almost 30% after sending two dozen spacecraft on their way to orbit. Falcon Heavy Flight 3 is scheduled to lift off in support of the Department of Defense’s Space Test Program 2 (STP-2) mission no earlier than 11:30 pm ET (03:30 UTC), June 24th. A routine static fire test at Pad 39A will (hopefully) set the stage for launch on Wednesday, June 19th.
This comes as a significant surprise for several reasons. First and foremost, the difference between a center core landing 40 km or 1300 km from the launch site is immense. For Falcon Heavy, the center core shuts down and separates from the rest of the rocket as much as a minute after the rocket’s two side boosters, potentially doubling the booster’s relative velocity at separation.
That extra minute of acceleration means that the center core can easily be 50-100+ km downrange at the point of separation. In other words, landing 40 km offshore aboard drone ship OCISLY would be roughly akin to a full boostback burn, meaning that the center core would need to nullify all of its substantial downrange velocity, turn around, and fly ~50-100 km back towards the launch site. Being able to perform such an aggressive maneuver would indicate that Falcon Heavy’s boost stage has a huge amount of propellant (delta V) remaining after completing its role in the launch.
To have STP-2’s center core recovery moved from 40 km to 1240 km thus indicates an absolutely massive change in the rocket’s mission plan and launch trajectory. For reference, Falcon Heavy Flight 2’s Block 5 center core (B1055) set SpaceX’s current record for recovery distance (970 km/600 mi) after launching Arabsat 6A – a massive ~6500 kg (14,300 lb) satellite – to a spectacularly high transfer orbit of >90,000 km (56,000 mi).
Why so spicy?
There are three obvious possibilities that might help explain why the STP-2 mission has abruptly indicated that it will require SpaceX’s most energetic booster recovery yet.
1. STP-2 is carrying at least 1-2 metric tons worth of mystery payload(s)
This is highly unlikely. The USAF SMC has already released a SpaceX photo showing the late stages of the STP-2 payload stack’s encapsulation inside Falcon Heavy’s payload fairing. Short of an elaborate faked encapsulation followed by the installation of additional mysterious spacecraft or some extremely dense hardware hidden inside, it’s safe to say that the STP-2 payload stack weighs what the USAF says it weighs, which is to say not nearly heavy enough to warrant a record-smashing booster recovery given the known orbital destinations.
The USAF further confirmed that there is no ballast on the stack, removing the possibility of a lead weight or steel boilerplate meant to artificially push Falcon Heavy to its limits.
2. STP-2’s already-challenging Falcon upper stage mission profile is even more exotic than described
Per official mission overviews, it’s already clear that STP-2 could be the most challenging launch ever attempted for SpaceX’s orbital Falcon upper stage. According to SpaceX itself, “STP-2…will be among the most challenging launches in SpaceX history, with four separate upper-stage engine burns, three separate deployment orbits, a final propulsive passivation maneuver, and a total mission duration of over six hours.”
While undeniably challenging, it’s not clear why it would require such a high-energy center core recovery. With a payload mass of just ~3700 kg, Falcon 9 has launched much larger payloads to (relatively) higher orbits, but this fails to account for the added challenge of long coasts and multiple different orbits. Also of note, the above graph (courtesy of a years-old USAF document) appears to disagree with SpaceX’s description of “four… upper-stage burns”, instead showing five burns (red spikes).
More likely than not, OCISLY’s ~1200-kilometer move can be explained largely by the reintroduction of what the above graph describes as the Falcon upper stage’s “disposal burn”, likely referring to a deorbit burn. On top of the delta V already required for the first four burns, it isn’t out of the question that an additional coast and deorbit burn from 6000 km (3700 mi) would push the recovery equation in favor of attempting to incinerate center core B1057.
3. USAF/DoD conservatism strikes again?
The last plausible explanation for this radical shift is that the US Air Force/Department of Defense (DoD) has decided last-second that they want more margins on top of their already-overflowing safety margins, quite literally pushing B1057 to the edge of its performance envelope to mitigate low-probability failure modes. This has been done to an even more extreme extent with the US Air Force’s recent GPS III SV01 launch, in which SpaceX was forced to expend a new Falcon 9 Block 5 booster to provide the extreme safety margins the USAF desired.
According to the USAF, the STP-2 mission – including launch costs – represents as much as $750M, coincidentally similar to the estimated cost of the GPS III SV01 satellite and an expendable Falcon 9 rocket. As such, it’s not out of the question that a similar level of paranoia/conservatism is in play for STP-2.
Numbers 2 and 3 are equally plausible explanations for this last-second booster recovery shift. Given the US military’s active involvement, it’s more likely than not that no explanations will be offered. Regardless, this surprise development is bound to result in a truly spectacular recovery attempt for SpaceX’s second Block 5 center core and will likely involve breaking several still-fresh records in the process.
Falcon Heavy Flight 3 is in the middle of rolling out to SpaceX’s Kennedy Space Center Pad 39A launch facilities for a routine pre-launch static fire test, scheduled to occur no earlier than 12:30 pm ET (16:30 UTC), June 19th. If all goes well, SpaceX should be on track for its first STP-2 launch attempt at 11:30 pm ET (03:30 UTC), June 24th.
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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
