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India could become the fourth country ever to soft-land a spacecraft on the Moon next week

India's GSLV Mk III rocket stands vertical ahead of its planned launch of Chandrayaan-2, India's first attempted Moon landing. (ISRO)

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7 years ago

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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).

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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.
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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Elon Musk reveals unfortunate truth of Tesla Full Self-Driving development

In a candid reply to a dramatic video of Tesla’s Full Self-Driving (FSD) system averting disaster, Elon Musk laid bare a harsh reality facing autonomous vehicle technology.

Published

38 minutes ago

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April 7, 2026

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Tesla’s Full Self-Driving suite is one of the most significant technological developments in terms of passenger travel in decades, but it is not all sunshine and rainbows, even with major strides in safety, CEO Elon Musk revealed.

In a candid reply to a dramatic video of Tesla’s Full Self-Driving (FSD) system averting disaster, Elon Musk laid bare a harsh reality facing autonomous vehicle technology.

The clip shows a Model 3 traveling at over 65 mph on a foggy, rain-soaked highway when a pedestrian suddenly steps into traffic.

Full Self-Driving instantly detects the threat and swerves safely, preventing what could have been a fatal collision for both the pedestrian and the driver’s cousin.

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Musk’s response was unequivocal:

“Tesla self-driving saves a lot of lives – the statistics are unequivocal. That doesn’t mean it’s perfect, of course.” Even with a projected 10x safety improvement over human drivers, FSD would still prevent roughly 90% of the world’s approximately one million annual auto fatalities. The remaining 10%—roughly 100,000 deaths—would expose Tesla to relentless lawsuits. Meanwhile, the vast majority of lives saved would go unnoticed. “The 90% who are still alive mostly won’t even know that Tesla saved them. Nonetheless, it is the right thing to do.”

This “unfortunate truth,” as Musk implicitly framed it, highlights a fundamental asymmetry in how society perceives safety technology. Human drivers cause the overwhelming majority of crashes through distraction, fatigue, or error.

Yet when FSD errs, the incident becomes headline news and a courtroom target. Prevented tragedies, by contrast, leave no trace.

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Survivors simply continue their journeys, unaware of the split-second intervention that kept them alive. The result is a distorted public narrative that amplifies failures while rendering successes invisible.

We have seen this through various headlines throughout the years, including the mainstream media’s obsession with only mentioning the manufacturer’s name in the instance of an accident when it is “Tesla.”

Opinion: Tesla Autopilot NHTSA investigation headlines are out of control

The video’s real-world example underscores FSD’s current capabilities. In near-zero visibility, the system’s cameras and neural network reacted faster than any human could, demonstrating the life-saving potential Musk cites.

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Tesla’s latest safety data already shows FSD (Supervised) performing significantly better than the U.S. average, with crashes occurring far less frequently per mile driven.

Still, regulatory scrutiny, liability concerns, and media focus on edge-case failures continue to slow widespread adoption. Musk’s frank admission suggests Tesla is prepared to push forward despite the legal and perceptual headwinds.

As FSD edges closer to unsupervised autonomy, Musk’s post serves as both a progress report and a reality check. The technology is already saving lives today.

The unfortunate truth is that proving it and scaling it responsibly will require society to value statistical lives saved as much as dramatic stories of those lost. In the race toward safer roads, perception may prove as formidable an obstacle as the fog and rain in that viral video.

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Tesla Full Self-Driving v14.3: First Impressions

Published

2 hours ago

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April 7, 2026

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Tesla started rolling out Full Self-Driving v14.3 to Early Access Program (EAP) members earlier today, and I had the opportunity to see some of the improvements that were made from v14.2.2.5.

While a lot of things got better, and I truly enjoyed using Full Self-Driving again after being stuck with the widely confusing and frustrating v14.2.2.5, Tesla still has one major problem on its hands, and it has to do with Navigation and Routing. I truly believe those issues will be the biggest challenges Tesla will face with autonomy: the car simply going the correct way, not conflicting with what the navigation says, and taking the simplest and most ideal route to a destination.

Here’s what I noticed as an improvement with my first hour with v14.3. This is not a full review, nor is it reflective of everything I will likely experience with this new version. This is simply what I saw as a noticeable improvement from the past version, v14.2.2.5.

There is also a more streamlined version on X, available at the thread below:

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Yellow Light Behavior is Significantly Better

On v14.2.2.5, I had so many instances of the car slamming the brakes on to stop at a yellow light when it was clearly the safer option to proceed through. There were several times when the car would be about 20 feet from the line, traveling at 15-20 MPH, the light would turn yellow, and it would slam the brakes to stop. I would nudge it through yellow lights constantly because of this by putting my foot on the accelerator.

The instances I’m talking about here would not have been close calls — the car would have likely moved through the intersection completely before the light would turn red.

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On multiple occasions this evening, FSD proceeded through yellow lights safely, without hesitation or any brake stabbing. It was refreshing:

This was a huge complaint with v14.2.2.5. Sometimes, it’s a safer option to go through a yellow light, especially when you have traffic behind you. It’s a great way to get rear-ended.

Parking Performance

I had four instances of parking, and FSD v14.3 really did a flawless job. I was very impressed with how solid it was, but also with how efficiently it moved into the spot. When there was traffic around with past versions, I usually chose to park manually just because FSD took its time getting into a spot. I don’t see that being an issue anymore.

I complained about parking a lot and shared several images on X and Facebook of those examples:

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No issues with it this evening. 4/4. Here are two looks:

Highway Performance

FSD v14.3 passed the five cars shown in this image:

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The sixth was 200-300 yards ahead of the fifth. In v14.2.2.5, FSD would usually stay in the left lane, especially on Hurry and Mad Max. It did not do that, as it instead chose to get back over in the right lane after passing the final car.

Speed was not much of a concern here, even though it was going 21 MPH over. Although it was fast, I did have a line of cars behind me traveling at the same speed, and FSD had just merged about a half mile prior, so I chose to let it continue.

There were no instances of camping in the left lane for extended periods of time. I do want to do more testing with the Speed Profiles because they were in need of some work with the previous version. I am starting to side with those who want a Max Speed setting, which was removed last year.

Navigation and Routing Still Need Work

I was heading back toward where I came from, so I turned “Avoid Highways” on to take a different way. This confused the Routing system, and instead of turning left, then right, as the Routing said, the car turned right, then indicated for another right, basically going in a big rectangle. The car ignored the second right-hand turn and continued straight. I ended up turning “Avoid Highways” off and letting the car pick the same routing option as what took me here.

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I have truly complained so much about Navigation and Routing that I’m starting to feel sort of bad. It is obviously such a massive challenge for some reason, but I am confident it will improve. I recall seeing Tesla hiring someone for this role a few months back, so perhaps there is hope for it to get better.

Smarter Behavior When Approaching Exits/Routing

This probably should be grouped in with Highway Behavior, but I wanted to highlight it on its own.

The highway exit pictured was always frustrating for v14.2.2.5. In the Hurry speed profile, I have seen it try to execute passes on multiple cars with as little as 0.6 miles to spare before taking the exit.

With three cars ahead of it, it chose to reduce speed and just wait until the exit. It was refreshing to see an improvement here, so I hope this behavior persists. Sometimes there’s just no reason to pass when you’re less than a mile from getting off the highway anyway.

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Larger Visibility Warnings

Tesla seems to have increased the size of these “Camera Visibility Limited” warnings. Previously, they were just small thumbnails:

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Stop Sign Behavior

This is probably the biggest improvement of all, because how it behaved at Stop Signs in v14.2.2.5 was so incredibly terrible and disruptive to the flow of a busy intersection.

There are several four-way, all-stop intersections near me. In the past, FSD would stop well behind the Stop Sign or the white-painted line on the road. It would then inch forward, stopping again at this line, essentially making two stops at a single intersection.

If there is visibility, I don’t truly care where FSD stops, as long as it stops once. Stopping twice just isn’t ideal or logical. I can’t imagine many humans would do it, I know I wouldn’t.

I didn’t have that issue this evening:

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This was pretty tight, too, in the sense that both my car and the other one got to the intersection at the same time. FSD may have stopped first, but the other vehicle was probably around the same point that I was when FSD decided to stop. I was happy to see the assertiveness to proceed; it felt like it was ideal to just go through. I was happy it didn’t stop a second time up at the line. I’d be fine if it stopped at the line, as long as that was the only stop it made.

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Tesla Full Self-Driving v14.3 rolls out: here’s what’s new

We are in EAP and will be on the road with v14.3 in the coming hours, so we’ll have a lot of things to discuss over the next few days, especially coming from v14.2.2.5, which I called the most “confusing” FSD release of all time.

Published

7 hours ago

on

April 7, 2026

By

Tesla has officially started rolling out Full Self-Driving v14.3 to Early Access Program (EAP) members, and there are a lot of new improvements.

We are in EAP and will be on the road with v14.3 in the coming hours, so we’ll have a lot of things to discuss over the next few days, especially coming from v14.2.2.5, which I called the most “confusing” FSD release of all time.

Tesla brought out a lot of improvements, according to the v14.3 release notes, which list a vast number of fixes, new features, and new capabilities.

Here’s what Tesla’s release notes for the v14.3 release state:

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  • Improved parking location pin prediction, now shown on a map with a P icon.
  •  Increased decisiveness of parking spot selection and maneuvering.
  • Rewrote the Al compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed.
  • Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles.
  • Mitigated unnecessary lane biasing and minor tailgating behaviors.
  • Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety.
  • Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping – driven by training on hard RL examples sourced from the Tesla fleet.
  • Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios.
  • Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding.
  • Improved handling for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet.
  • Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements.

Tesla also listed a handful of future improvements as well:

  • Expand reasoning to all behaviors beyond destination handling
  • Add pothole avoidance
  • Improve driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting situations

CEO Elon Musk has said that v14.3 could be “where the last big piece of the puzzle finally lands.” We have high expectations for this release because, in a lot of ways, v14.2’s final version was extremely disappointing and seemed to be a regression more than anything.

Nevertheless, Full Self-Driving v14.3 is going to be quite an interesting test, considering this is also the first time Musk has stated it will feel like the car will be “sentient.”

Reasoning will be a bigger piece of the puzzle with this release, although there were some elements of it in v14.2.

Tesla AI Head says future FSD feature has already partially shipped

We plan to travel plenty of miles with it over the next few days, so we’ll keep you posted on what our thoughts are.

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