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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.
Elon Musk
Tesla announces crazy new Full Self-Driving milestone
The number of miles traveled has contextual significance for two reasons: one being the milestone itself, and another being Tesla’s continuing progress toward 10 billion miles of training data to achieve what CEO Elon Musk says will be the threshold needed to achieve unsupervised self-driving.
Tesla has announced a crazy new Full Self-Driving milestone, as it has officially confirmed drivers have surpassed over 8 billion miles traveled using the Full Self-Driving (Supervised) suite for semi-autonomous travel.
The FSD (Supervised) suite is one of the most robust on the market, and is among the safest from a data perspective available to the public.
On Wednesday, Tesla confirmed in a post on X that it has officially surpassed the 8 billion-mile mark, just a few months after reaching 7 billion cumulative miles, which was announced on December 27, 2025.
Tesla owners have now driven >8 billion miles on FSD Supervisedhttps://t.co/0d66ihRQTa pic.twitter.com/TXz9DqOQ8q
— Tesla (@Tesla) February 18, 2026
The number of miles traveled has contextual significance for two reasons: one being the milestone itself, and another being Tesla’s continuing progress toward 10 billion miles of training data to achieve what CEO Elon Musk says will be the threshold needed to achieve unsupervised self-driving.
The milestone itself is significant, especially considering Tesla has continued to gain valuable data from every mile traveled. However, the pace at which it is gathering these miles is getting faster.
Secondly, in January, Musk said the company would need “roughly 10 billion miles of training data” to achieve safe and unsupervised self-driving. “Reality has a super long tail of complexity,” Musk said.
Training data primarily means the fleet’s accumulated real-world miles that Tesla uses to train and improve its end-to-end AI models. This data captures the “long tail” — extremely rare, complex, or unpredictable situations that simulations alone cannot fully replicate at scale.
This is not the same as the total miles driven on Full Self-Driving, which is the 8 billion miles milestone that is being celebrated here.
The FSD-supervised miles contribute heavily to the training data, but the 10 billion figure is an estimate of the cumulative real-world exposure needed overall to push the system to human-level reliability.
News
Tesla Cybercab production begins: The end of car ownership as we know it?
While this could unlock unprecedented mobility abundance — cheaper rides, reduced congestion, freed-up urban space, and massive environmental gains — it risks massive job displacement in ride-hailing, taxi services, and related sectors, forcing society to confront whether the benefits of AI-driven autonomy will outweigh the human costs.
The first Tesla Cybercab rolled off of production lines at Gigafactory Texas yesterday, and it is more than just a simple manufacturing milestone for the company — it’s the opening salvo in a profound economic transformation.
Priced at under $30,000 with volume production slated for April, the steering-wheel-free, pedal-less Robotaxi-geared vehicle promises to make personal car ownership optional for many, slashing transportation costs to as little as $0.20 per mile through shared fleets and high utilization.
Credit: wudapig/Reddit< /a>
While this could unlock unprecedented mobility abundance — cheaper rides, reduced congestion, freed-up urban space, and massive environmental gains — it risks massive job displacement in ride-hailing, taxi services, and related sectors, forcing society to confront whether the benefits of AI-driven autonomy will outweigh the human costs.
Let’s examine the positives and negatives of what the Cybercab could mean for passenger transportation and vehicle ownership as we know it.
The Promise – A Radical Shift in Transportation Economics
Tesla has geared every portion of the Cybercab to be cheaper and more efficient. Even its design — a compact, two-seater, optimized for fleets and ride-sharing, the development of inductive charging, around 300 miles of range on a small battery, half the parts of the Model 3, and revolutionary “unboxed” manufacturing — is all geared toward rapid production.
Operating at a fraction of what today’s rideshare prices are, the Cybercab enables on-demand autonomy for a variety of people in a variety of situations.
Tesla ups Robotaxi fare price to another comical figure with service area expansion
It could also be the way people escape expensive and risky car ownership. Buying a vehicle requires expensive monthly commitments, including insurance and a payment if financed. It also immediately depreciates.
However, Cybercab could unlock potential profitability for owning a car by adding it to the Robotaxi network, enabling passive income. Cities could have parking lots repurposed into parks or housing, and emissions would drop as shared electric vehicles would outnumber gas cars (in time).
The first step of Tesla’s massive production efforts for the Cybercab could lead to millions of units annually, turning transportation into a utility like electricity — always available, cheap, and safe.
The Dark Side – Job Losses and Industry Upheaval
With Robotaxi and Cybercab, they present the same negatives as broadening AI — there’s a direct threat to the economy.
Uber, Lyft, and traditional taxis will rely on human drivers. Robotaxi will eliminate that labor cost, potentially displacing millions of jobs globally. In the U.S. alone, ride-hailing accounts for billions of miles of travel each year.
There are also potential ripple effects, as suppliers, mechanics, insurance adjusters, and even public transit could see reduced demand as shared autonomy grows. Past automation waves show job creation lags behind destruction, especially for lower-skilled workers.
Gig workers, like those who are seeking flexible income, face the brunt of this. Displaced drivers may struggle to retrain amid broader AI job shifts, as 2025 estimates bring between 50,000 and 300,000 layoffs tied to artificial intelligence.
It could also bring major changes to the overall competitive landscape. While Waymo and Uber have partnered, Tesla’s scale and lower costs could trigger a price war, squeezing incumbents and accelerating consolidation.
Balancing Act – Who Wins and Who Loses
There are two sides to this story, as there are with every other one.
The winners are consumers, Tesla investors, cities, and the environment. Consumers will see lower costs and safer mobility, while potentially alleviating themselves of awkward small talk in ride-sharing applications, a bigger complaint than one might think.
Elon Musk confirms Tesla Cybercab pricing and consumer release date
Tesla investors will be obvious winners, as the launch of self-driving rideshare programs on the company’s behalf will likely swell the company’s valuation and increase its share price.
Cities will have less traffic and parking needs, giving more room for housing or retail needs. Meanwhile, the environment will benefit from fewer tailpipes and more efficient fleets.
A Call for Thoughtful Transition
The Cybercab’s production debut forces us to weigh innovation against equity.
If Tesla delivers on its timeline and autonomy proves reliable, it could herald an era of abundant, affordable mobility that redefines urban life. But without proactive policies — retraining, safety nets, phased deployment — this revolution risks widening inequality and leaving millions behind.
Elon on the MKBHD bet, stating “Yes” to the question of whether Tesla would sell a Cybercab for $30k or less to a customer before 2027 https://t.co/sfTwSDXLUN
— TESLARATI (@Teslarati) February 17, 2026
The real question isn’t whether the Cybercab will disrupt — it’s already starting — it’s whether society is prepared for the economic earthquake it unleashes.
News
Tesla Model 3 wins Edmunds’ Best EV of 2026 award
The publication rated the Model 3 at an 8.1 out of 10, and with its most recent upgrades and changes, Edmunds says, “This is the best Model 3 yet.”
The Tesla Model 3 has won Edmunds‘ Top Rated Electric Car of 2026 award, beating out several other highly-rated and exceptional EV offerings from various manufacturers.
This is the second consecutive year the Model 3 beat out other cars like the Model Y, Audi A6 Sportback E-tron, and the BMW i5.
The car, which is Tesla’s second-best-selling vehicle behind the popular Model Y crossover, has been in the company’s lineup for nearly a decade. It offers essentially everything consumers could want from an EV, including range, a quality interior, performance, and Tesla’s Full Self-Driving suite, which is one of the best in the world.
The Tesla Model 3 has won Edmunds Top EV of 2026:
“The Tesla Model 3 might be the best value electric car you can buy, combining an Edmunds Rating of 8.1 out of 10, a starting price of $43,880, and an Edmunds-tested range of 338 miles. This is the best Model 3 yet. It is… pic.twitter.com/ARFh24nnDX
— TESLARATI (@Teslarati) February 18, 2026
The publication rated the Model 3 at an 8.1 out of 10, and with its most recent upgrades and changes, Edmunds says, “This is the best Model 3 yet.”
In its Top Rated EVs piece on its website, it said about the Model 3:
“The Tesla Model 3 might be the best value electric car you can buy, combining an Edmunds Rating of 8.1 out of 10, a starting price of $43,880, and an Edmunds-tested range of 338 miles. This is the best Model 3 yet. It is impressively well-rounded thanks to improved build quality, ride comfort, and a compelling combination of efficiency, performance, and value.”
Additionally, Jonathan Elfalan, Edmunds’ Director of Vehicle Testing, said:
“The Model 3 offers just about the perfect combination of everything — speed, range, comfort, space, tech, accessibility, and convenience. It’s a no-brainer if you want a sensible EV.”
The Model 3 is the perfect balance of performance and practicality. With the numerous advantages that an EV offers, the Model 3 also comes in at an affordable $36,990 for its Rear-Wheel Drive trim level.
Tesla announces crazy new Full Self-Driving milestone
Tesla Cybercab production begins: The end of car ownership as we know it?
