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India could become the fourth country ever to soft-land a spacecraft on the Moon next week
The Indian Space Research Organization (ISRO) is perhaps just a few weeks (maybe days) away from attempting to place the country in the history books, hopefully setting India up to become the fourth nation on Earth – after the Soviet Union, United States, and China – to successfully soft-land on the Moon.
Known as Chandrayaan-2, the mission seeks to simultaneously launch a lunar orbiter, lander, and rover, altogether weighing nearly 3900 kg (8600 lb) at liftoff. If successful, the trio of spacecraft will remain integrated for about two months as the orbiter slowly raises its Earth orbit to eventually intercept and begin orbiting the Moon. Although originally expected to launch on Sunday, July 14th (July 15th local time), a bug with the Indian-built launch vehicle’s upper stage has pushed Chandrayaan-2 outside its original launch window, which ended today (July 16th). Depending on the complexity of the mission profile ISRO is using, the delay should be no more than a few days to a few weeks before the next launch window opens.
Editor’s note: Following ISRO’s July 15th scrub, the Chandrayaan-2 Moon lander mission has been rescheduled for launch no earlier than (NET) 2:43 pm local time, July 22nd (2:13 am PDT/9:13 UTC, July 23rd).
Fourth to the Moon (in one piece)
- All the way back in 1966, the Soviet Union (USSR) became the first to successfully soft-land an uncrewed spacecraft on the Moon with a mission known as Luna-9. Some four months after the momentous achievement, the United States became the second, safely landing Surveyor-1 on the Moon in June 1966.
- At the height of the space race, huge amounts of money was being funneled into these milestones, permitting the companies, institutions, and space agencies building, launching, and operating the individual missions to almost throw hardware at the metaphorical wall until something stuck. With the Soviet space program, this involved 17 failures, two successes, and one partial success in the first 7 years of the Luna initiative, culminating in Luna 9’s successful landing in February 1966.
- The US had three major separate programs known as Ranger, Lunar Orbiter, and Surveyor, the former of which was meant to simply fly past or impact the Moon to acquire detailed photos of its surface. Ranger suffered five consecutive failures and one partial failure before three full successes, while Orbiter was a complete success (5/5) and Surveyor failed only 2 of 7 attempts.
- Ultimately, this little snippet of history is simply meant to emphasize the utterly different approaches of those pathfinder programs relative to modern exploration efforts. In the case of ISRO’s Chandrayaan-2, failure would likely mean several years of delays before the next possible attempt – there is no concurrent (verging on mass-) production of multiple spacecraft like there was with Surveyor and Luna.
- Just shy of 50 years after the back-to-back first and second soft landings of Luna-9 and Surveyor-1, China became the third nation on Earth to successfully soft-land on the Moon with its 2013 Chang’e-3 mission, featuring a lander and rover. This was followed by Chang’e-4 in 2018, which continues to successfully operate 8 months after achieving the first successful soft-landing on the far side of the Moon.
- Finally, just several months ago, private company SpaceIL – supported by Israeli aerospace company IAI – attempted (albeit unsuccessfully) to make Israel the fourth country to land on the Moon.
Indian spacecraft, Indian rocket
- This finally brings us to Chandrayaan-2, what can only be described as a continuation of a recent resurgence in interest and serious robotic exploration of the Moon. Once it launches, the mission will take roughly 56 days to get into position for an attempted soft-landing. Prior to landing, the orbiter – in a circular, 100-km (62 mi) lunar orbit – will actively scout the intended landing site with a high-resolution ~0.3m/pixel camera to help the lander avoid any dangerous terrain.
- Once complete, the lander – carrying a tiny, ~27 kg (60 lb) rover – will begin its deorbit and landing maneuvers, hopefully culminating in a successful, gentle landing near the Moon’s South pole.
- Sadly, the Vikram lander and Pragyaan rover have an expected life of just one lunar day after landing, translating to ~14 Earth days or ~340 hours. This is a strong indicator that the Chandrayaan-2 landing component was not designed to survive the ultra-cold and harsh lunar night, also ~14 Earth days long.
- This isn’t much of a surprise, as surviving the lunar night is a whole different challenge that is rarely worth the hardware, effort, and funding required until the first prerequisite – a soft landing on the Moon – has been successfully demonstrated.
- A follow-up mission known as Chandrayaan-2 has already been proposed and would likely permit far lengthier exploration of the lunar south pole if India and launch partner Japan choose to move forward with it.
- Chandrayaan-2 will be launched on an Indian-built Geosynchronous Satellite Launch Vehicle (GSLV) Mk III-D2 rocket, the most powerful rocket in India’s arsenal. Although GSLV Mk III weighs significantly more than SpaceX’s
- Falcon 9 when fully fueled (640 metric tons to F9’s 550), the rocket is almost a third less capable to Low Earth Orbit (LEO) – 8000 kg to F9’s ~23,000 kg.
- However, thanks to the development of an efficient liquid hydrogen/oxygen (hydrolox) upper stage and engine, the rocket comes into its own when dealing with its namesake – geostationary (i.e. high-altitude) satellite launches. To GTO, GSLV Mk III is reportedly capable of launching at least 4000 kg, almost half of Falcon 9’s expendable performance and almost 75% as much as Falcon 9 with booster landing.
- Even more impressive is the cost: ISRO purchased a block of 10 GSLV Mk III rockets in 2018 for roughly $630M, translating to ~$63M per rocket, nearly equivalent to Falcon 9’s own list price of $62M. This places GSLV Mk III around the same level as Russia’s Proton-M rocket in terms of a cost-to-performance ratio, still second to Falcon 9 in most cases. GSLV Mk III has only launched three times (all successful) since its 2014 debut and Chandrayaan-2 will be its fourth launch.
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.
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
