News
SpaceX on track to launch four rockets next month despite Falcon Heavy delays
Despite the intense focus on SpaceX’s first Falcon Heavy launch attempt and the testing preceding it, SpaceX is still a functioning business, and that business lies in launching payloads into Earth orbit. While it appears that January is unlikely to see any additional SpaceX launches, particularly Falcon Heavy, the launch company’s February manifest appears to be rapidly firming up.
Perhaps most significantly, two geostationary communications satellites completed their long journeys to Cape Canaveral, Florida within the last week or so, and a third payload on the West Coast is presumed to be at Vandenberg Air Force Base, all preparing for February launches. Meanwhile, although it is unclear how close Falcon Heavy is to launching, a date in mid to late February appears realistic at this point. As such, SpaceX has at least three and maybe four missions concretely planned for February – concrete in the sense that three of them were given specific launch dates within the last week.

Falcon Heavy is now targeting Friday, January 19 for its first static fire test. (Tom Cross/Teslarati)
A return to stride
Following a halcyon year of 18 launches, SpaceX appears to be ready to tackle its manifest headfirst after a relatively relaxed start to 2018. January saw a single SpaceX launch, Zuma, as well as the ongoing series of tests of the first completed Falcon Heavy launch vehicle, although the big rocket’s launch date has likely already slipped into February at the earliest. Still, SpaceX’s Falcon 9 workhorse rocket is rearing for additional launches, and options abound.
GovSat-1 (SES-16) – NET late January 2018
First on the docket is the launch of GovSat-1/SES-16, a public-private partnership between Luxembourg’s government and the renowned Lux.-based satellite manufacturer and operator, SES. Similar to Hispasat, GovSat-1 is a geostationary communications satellite weighing around 4000 kg that will be placed in a geostationary transfer orbit by Falcon 9. If it flies before Falcon Heavy, something I’d place at around 99% likely, the launch of PAZ will mark SpaceX’s first reused flight of 2018, with many, many more to come. This particular launch will use Core 1032 from the secretive NROL-76 mission back in May 2017. 1032 is an older booster, and thus a recovery attempt is unlikely – Block 3 Falcon 9s were never designed to be reused more than once or twice, especially not after toasty high-energy recoveries necessitated by geostationary launches.
- After launching NROL-76 in May 2017, B1032 returned to Landing Zone-1 for a successful landing. (SpaceX)
- SES and GovSats’ first partnered satellite, GovSat-1/SES-16. (SES)
PAZ – Starlink prototype co-passengers – NET February 10 2018, 6:52am PST
Up next, PAZ is a commercial imaging satellite designed to return high-resolution photos of Earth from a relatively low polar orbit of approximately 500 km. It’s believed that this mission will be launched aboard a flight-proven Falcon 9 booster, Core 1038, previously tasked with the launch of the small Formosat-5 imaging satellite in August 2017. The mission will be the second 2018 launch of a flight proven booster for SpaceX, following on the heels of GovSat-1. Perhaps more important than reuse (but secondary to the customer’s payload insertion), however, is the probable presence of two of SpaceX’s first prototype broadband satellites, a constellation now known to be called Starlink.
This will be a major achievement for SpaceX’s satellite constellation efforts, as the several hundred employees SpaceX has stationed in Washington State and outside of Hawthorne, CA will finally be able to operationally test the fruit of many months of hard but silent work. Given the presence of two satellites, it’s assumed that these test satellites, Microsat 2A and 2B, have been designed to test all of the main components SpaceX has been developing, particularly the optical (LASER) on orbit communications system. By allowing each satellite to communicate at incredibly high bandwidths with each other, SpaceX’s ultimate goal is to create a mesh network of connectivity covering the entire Earth.
As such, fingers crossed that SpaceX begins to discuss Starlink in more detail as 2018 progresses and PAZ and its Microsat co-passengers reach orbit in February. Sadly, although the combined payload is small and the planned orbit low, the twice-flight-proven booster may meet its ultimate fate in the Pacific Ocean – a recovery attempt is no longer guaranteed for older, reused Falcon 9s. However, while not officially confirmed, this launch could see the debut of SpaceX’s Western landing pad, currently known as SLC-4 West (SLC-4W). Rather than attempting recovery aboard the drone ship Just Read The Instructions, Falcon 9 1038 would instead flip around and return to a landing area less than a kilometer away from its VAFB launch pad. Expect official confirmation as the launch date approaches.
- The Spanish company Hisdesat’s PAZ imaging satellite. (Hisdesat)
- Falcon 9 1038 aboard Just Read The Instructions after the launch of Formosat-5. (SpaceX)
Hispasat 30W-6 (1F) – No Earlier Than (NET) mid-February 2018
Finally, Hispasat is a relatively hefty 6000 kg commercial communications satellite slated for launch aboard what is believed to be a new Falcon 9 rocket. With SpaceX aiming to place the satellite into a geostationary transfer orbit, this will almost certainly preclude any attempts at recovering the first stage – the booster will need to expend most of its fuel to accomplish the job, leaving no reserve to conduct landing burns at sea. Hispasat’s Falcon 9 will thus likely be the first new booster to be expended intentionally by SpaceX in 2018.
Spain's @Hispasat: 30W-6 telecom sat arrives at Cape Canaveral from builder @sslmda to prepare for Feb launch on @SpaceX Falcon 9. Sat carries Ku-, C- & Ka-band payload for Americas/trans-Atlantic. pic.twitter.com/Zfhi1cE5vx
— Peter B. de Selding (@pbdes) January 16, 2018
Another busy year?
If February is to be representative of SpaceX’s 2018 launch cadence, the year is going to be a crazy one for the rocket company. As of IAC 2017, Elon Musk showed an estimated 30 launches as the company’s goal this year, compared to 20 in 2017 (SpaceX was only two launches short of that). While Falcon Heavy may be understandably stealing the buzz and then some from those interested in spaceflight and technology, it is an absolute necessity that SpaceX remains a viable and reliable launch company if they hope to pursue more aspirational technologies like Falcon Heavy, BFR, and more. Here’s to hoping that SpaceX manages to make 2018 equally or even more successful than 2017.
Follow along live as launch photographer Tom Cross and I cover these exciting proceedings as close to live as possible.
Teslarati – Instagram – Twitter
Tom Cross – Instagram
Eric Ralph – Twitter
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.



