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SpaceX sends Falcon 9’s West Coast drone ship to the Panama Canal in surprise move
In a surprise turn of events, SpaceX has decided to send Just Read The Instructions (JRTI) – one of the company’s two autonomous spaceport drone ships (ASDS) – from Port of Los Angeles to either the Gulf or East Coast.
The likely destination: either Port Canaveral, Florida or Port of Brownsville, Texas. This move comes as the company enters a major lull in launch activities from its West Coast SLC-4 pad, situated in California’s Vandenberg Air Force Base (VAFB). Lacking manifested launches, SpaceX has gone as far as redistributing almost all of its VAFB-based launch team and laying off those that could not move to Texas or Florida. As early as the first half of 2020, this major move east could easily culminate in the end of all West Coast SpaceX fleet activity, aside from a rare fairing retrieval or two.
On June 12th, SpaceX successfully launched what is expected to be its last West Coast mission for at least 6-9 months, while drone ship JRTI was most recently used to recover a VAFB-launched Falcon 9 booster during the January 11th launch of Iridium NEXT-8. Unexpectedly, it appears that Falcon 9 B1049.2’s landing aboard JRTI will be the drone ship’s last West Coast recovery for quite some time.
On August 1st, the approximately 300 foot by 170 foot converted barge departed its well-worn Port of Los Angeles berth behind tugboat “Alice C”. In fact, the drone ship’s departure went unknown for a solid 12-24 hours before a member of the unofficial SpaceX subreddit (/r/SpaceX) discovered paperwork filed with the Panama Canal Authority for an August 15th passage.
Back in January 2019, SpaceX fairing recovery vessel Mr. Steven (now GO Ms. Tree) – in a bit of what now is obvious foreshadowing – began a very similar ~5000 mi (8000 km) journey, traveling from Port of LA to Port Canaveral via the Panama Canal. Mr. Steven, however, is a far faster ship and sustained a solid 15-20 knots (17-22 mph) over the entire voyage, while drone ship JRTI – towed the entire way – will have to suffice with an average speed less than half that.
Where to?
Assuming a day-long canal passage, JRTI’s journey to Port Canaveral or Brownsville would take no less than three weeks (~22 days) from start to finish, indicating a likely arrival at the unknown final destination in the third week of August. The two probable destinations, Texas and Florida, would both arguably make sense.
In Florida, SpaceX drone ship Of Course I Still Love You (OCISLY) is now tasked with handling the vast majority of SpaceX’s non-LZ booster recoveries, including Falcon Heavy center cores. In February 2018, CEO Elon Musk noted that a third drone ship (aside from JRTI & OCISLY) was “under construction” with the intention of allowing SpaceX to conduct Falcon Heavy launches where the center core is expended and both side boosters land at sea.
Perhaps SpaceX analyzed its fairly short West Coast manifest and decided that it would be even faster (and cheaper) to simply send JRTI East. Falcon Heavy’s next (public) launch is scheduled no earlier than late 2020, ruling out that as a primary motivation, but SpaceX is also about to begin operational Starlink launches that will demand an unprecedented cadence. Starlink’s cadence requirements could be so high that a second dedicated drone ship is necessary to prevent SpaceX’s internal manifest from delaying and generally disrupting its customers’ launches, thus explaining JRTI’s move.
At the same time, the spectacular pace of SpaceX’s orbital Starship prototype construction could very well demand the use of a large ocean-based landing platform in the near-term, at least according to Elon Musk’s recent comments on the subject of the first Starship test flights. Per Musk, either or both of SpaceX’s two Starship Mk1 (technically Mk1 & Mk2) prototypes could be ready for their first significant flights as early as September 2019, initially targeting altitudes of at least 20 km (12 mi).
Somewhat coincidentally, Starship’s tripod fin-legs – circa. a September 2018 design update – would actually almost fit inside the span of a Falcon 9 booster’s deployed landing legs (~18m diameter). This is to say that SpaceX’s two drone ships may already be large enough (give or take) to support Starship and Super Heavy booster landings. Given that the SpaceX plans to eventually put one or both of the in-work orbital Starship prototypes through an increasingly intensive series of high-speed, high-altitude (but still suborbital) tests before the first orbital flights, a drone ship may be necessary for the same reasons that not all Falcon 9 boosters can conveniently return to land during recovery.
Regardless of the ultimate purpose of drone ship JRTI’s move, it is undoubtedly a sign that things are about to get even more interesting and exciting in the world of SpaceX.
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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
