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SpaceX Starlink competitor OneWeb misled the FCC, media with false “near-miss” narrative
In the latest trials and tribulations of a SpaceX Starlink competitor that went bankrupt after spending $3 billion to launch just 74 small internet satellites, it appears that OneWeb knowingly misled both media and US regulators over a claimed “near-miss” with a Starlink satellite.
Back on April 9th, OneWeb went public with claims that SpaceX had mishandled its response to a routine satellite collision avoidance warning from the US military, which monitors the location of satellites and space debris. According to OneWeb government affairs chief Chris McLaughlin, SpaceX disabled an automated system designed to detect and automatically command Starlink satellite collision avoidance maneuvers to let OneWeb move its satellite instead. McLaughlin also stated that “Coordination is the issue – it is not sufficient to say ‘I’ve got an automated system.’”
He also recently criticized the maneuverability of Starlink satellites, claiming that “Starlink’s engineers said they couldn’t do anything to avoid a collision and switched off the collision avoidance system so OneWeb could maneuver around the Starlink satellite without interference.” As it turns out, OneWeb’s “near-miss” appears to have been a farce and the company scrambled to promise to retract those statements in an April 20th meeting with the FCC and SpaceX.
In far more egregious comments made on April 20th to the Wall Street Journal, a publication with a long history of blindly disseminating anti-SpaceX rhetoric, McLaughlin likened OneWeb’s satellites to “Ford Focus” cars and attempted to lambast Starlink satellites by comparing them to “Teslas: They launch them and then they have to upgrade and fix them, or even replace them altogether.”
Over the past 17 months, SpaceX has launched more than 1380 operational Starlink v1.0 satellites, some 870 of which are operational. Another ~440 are in the process of reaching operational orbits. All told, some 1365 are still in orbit and around 1345 of those satellites are working as expected for a total Starlink v1.0 failure rate of roughly 2.5%. As is SpaceX’s bread and butter, however, reliability has been continuously improving and of ~960 Starlink satellites launched over the last ~12 months, the overall failure rate has dropped to less than 1% – an almost threefold improvement.
After exiting bankruptcy last November, OneWeb has completed just two more launches for a total of 140 operational satellites in orbit of a planned ~650. Operating at a much higher ~1200 km (~750 mi) orbit, any failure of OneWeb satellites would produce debris that could remain in orbit for decades, whereas SpaceX has explicitly chosen much lower ~550 km (~340 mi) orbits, meaning that debris reenters in a matter of years. At Starlink’s sub-300-kilometer (~185 mi) insertion orbit, any faulty satellites screened during SpaceX’s checkout process reenter in a matter of days or weeks thanks to drag from Earth’s atmosphere.
The first phase of SpaceX’s Starlink constellation will require approximately 4400 satellites in low Earth orbit (LEO) and the company is already almost a third of the way to that milestone. A second phase could see those numbers grow as high as ~12,000, followed by a third phase with more than 40,000 satellites much further down the road. Relative to OneWeb, Starlink is dramatically more ambitious and each SpaceX satellite offers superior bandwidth and latency in a bid to blanket the Earth in affordable, high-quality broadband internet.
Of course, as a consequence of needing so many satellites to build out a network with enough bandwidth to serve tens to hundreds of millions of people, there is an obvious risk that unreliable satellites could make LEO a much more challenging place to operate for both SpaceX and the rest of the world. It also demands an entirely new approach to collision avoidance given the impracticality of human operators manually managing a fleet of thousands – or tens of thousands – of satellites.
Towards that end, SpaceX is developing an autonomous collision avoidance system – though virtually nothing is known about that system outside of the company, creating a far from optimal situation for all other satellite operators. Nevertheless, aside from one publicized avoidance maneuver in 2019, SpaceX appears to be quickly becoming a responsible and (mostly) transparent operator and custodian.
In an apparent attempt to capitalize on vague fears of “space debris” and satellite collisions, OneWeb – or perhaps just McLaughlin – took it upon itself to consciously misconstrue a routine, professional process of collision-avoidance coordination between OneWeb and SpaceX. McLaughlin ran a gauntlet of media outlets to drag SpaceX through the mud and criticize both the company’s technology and response, ultimately claiming that SpaceX’s Starlink satellite was incapable of maneuvering out of the way.
Instead, according to a precise, evidenced timeline of events presented by SpaceX to the FCC, the coordination was routine, uneventful, and entirely successful. OneWeb itself explicitly asked SpaceX to disable its autonomous collision avoidance software and allow the company to maneuver its own satellite out of the way after SpaceX made it clear that the Starlink spacecraft could also manage the task. The event was neither “urgent” or a “close call,” as OneWeb and media outlets later claimed. SpaceX says it has been coordinating similar avoidance maneuvers with OneWeb since March 2020.
Most damningly, SpaceX says that immediately after OneWeb disseminated misleading quotes about the event to the media, “OneWeb met with [FCC] staff and Commissioners [to demand that] unilateral conditions [be] placed on SpaceX’s operations.” Those conditions could have actually made coordination harder, “demonstrating more of a concern with limiting [OneWeb’s] competitors than with a genuine concern for space safety.” Crucially, despite lobbying to restrict its competitors, “OneWeb [has] argued forcefully that [it] should be exempt from Commission rules for orbital debris mitigation due to their status as non-U.S. operators.”
In simple terms, OneWeb is trying to exploit the FCC to suppress its competition while letting it roam free of the exact same regulations. Meanwhile, SpaceX is focused on launching satellites and serving tens of thousands of beta customers as Starlink speeds towards virtually uninterrupted global coverage barely a year and a half after operational launches began – all while coordinating with dozens of other satellite operators to be the best ‘neighbor’ it can be in space.
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Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
Tesla Full Self-Driving v14.2.2.5 hit my car back on Valentine’s Day, February 14, and since I’ve had it, it has become, in my opinion, the most confusing release I’ve ever had.
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
It has been about three weeks of driving on v14.2.2.5; I’ve used it for nearly every mile traveled since it hit my car. I’ve taken short trips of 10 minutes or less, I’ve taken medium trips of an hour or less, and I’ve taken longer trips that are over 100 miles per leg and are over two hours of driving time one way.
These are my thoughts on it thus far:
Speed Profiles Are a Mixed Bag
Speed Profiles are something Tesla seems to tinker with quite frequently, and each version tends to show a drastic difference in how each one behaves compared to the previous version.
I do a vast majority of my FSD travel using Standard and Hurry modes, although in bad weather, I will scale it back to Chill, and when it’s a congested city on a weekend or during rush hour, I’ll throw it into Mad Max so it takes what it needs.
Early on, Speed Profiles really felt great. This is one of those really subjective parts of the FSD where someone might think one mode travels too quickly, whereas another person might see the identical performance as too slow or just right.
To me, I would like to see more consistency from release to release on them, but overall, things are pretty good. There are no real complaints on my end, as I had with previous releases.
In a past release, Mad Max traveled under the speed limit quite frequently, and I only had that experience because Hurry was acting the same way. I’ve had no instances of that with v14.2.2.5.
Strange Turn Signal Behavior
This is the first Full Self-Driving version where I’ve had so many weird things happen with the turn signals.
Two things come to mind: Using a turn signal on a sharp turn, and ignoring the navigation while putting the wrong turn signal on. I’ve encountered both things on v14.2.2.5.
On my way to the Supercharger, I take a road that has one semi-sharp right-hand turn with a driveway entrance right at the beginning of the turn.
Only recently, with the introduction of v14.2.2.5, have I had FSD put on the right turn signal when going around this turn. It’s obviously a minor issue, but it still happens, and it’s not standard practice:
How can we get Full Self-Driving to stop these turn signals?
There’s no need to use one here; the straight path is a driveway, not a public road. The right turn signal here is unnecessary pic.twitter.com/7uLDHnqCfv
— TESLARATI (@Teslarati) February 28, 2026
When sharing this on X, I had Tesla fans (the ones who refuse to acknowledge that the company can make mistakes) tell me that it’s a “valid” behavior that would be taught to anyone who has been “professionally trained” to drive.
Apparently, if you complain about this turn signal, you are also claiming you know more than Tesla engineers…okay.
Nobody in their right mind has ever gone around a sharp turn when driving their car and put on a signal when continuing on the same road. You would put a left turn signal on to indicate you were turning into that driveway if that’s what your intention was.
Like I said, it’s a totally minor issue. However, it’s not really needed, and nor is it normal. If I were in the car with someone who was taking a simple turn on a road they were traveling, and they signaled because the turn was sharp, I’d be scratching my head.
I’ve also had three separate instances of the car completely ignoring the navigation and putting on a signal that is opposite to what the routing says. Really quite strange.
Parking Performance is Still Underwhelming
Parking has been a complaint of mine with FSD for a long time, so much so that it is pretty rare that I allow the vehicle to park itself. More often than not, it is because I want to pick a spot that is relatively isolated.
However, in the times I allow it to pull into a spot, it still does some pretty head-scratching things.
Recently, it tried to back into a spot that was ~60% covered in plowed snow. The snow was piled about six feet high in a Target parking lot.
A few days later, it tried backing into a spot where someone failed the universal litmus test of returning their shopping cart. Both choices were baffling and required me to manually move the car to a different portion of the lot.
I used Autopark on both occasions, and it did a great job of getting into the spot. I notice that the parking performance when I manually choose the spot is much better than when the car does the entire parking process, meaning choosing the spot and parking in it.
It’s Doing Things (For Me) It’s Never Done Before
Two things that FSD has never done before, at least for me, are slow down in School Zones and avoid deer. The first is something I usually take over manually, and the second I surprisingly have not had to deal with yet.
I had my Tesla slow down at a school zone yesterday for the first time, traveling at 20 MPH and not 15 MPH as the sign suggested, but at the speed of other cars in the School Zone. This was impressive and the first time I experienced it.
I would like to see this more consistently, and I think School Zones should be one of those areas where, no matter what, FSD will only travel the speed limit.
Last night, FSD v14.2.2.5 recognized a deer in a roadside field and slowed down for it:
🚨 Cruising home on a rainy, foggy evening and my Tesla on Full Self-Driving begins to slow down suddenly
FSD just wanted Mr. Deer to make it home to his deer family ❤️ pic.twitter.com/cAeqVDgXo5
— TESLARATI (@Teslarati) March 4, 2026
Navigation Still SUCKS
Navigation will be a complaint until Tesla proves it can fix it. For now, it’s just terrible.
It still has not figured out how to leave my neighborhood. I give it the opportunity to prove me wrong each time I leave my house, and it just can’t do it.
It always tries to go out of the primary entrance/exit of the neighborhood when the route needs to take me left, even though that exit is a right turn only. I always leave a voice prompt for Tesla about it.
It still picks incredibly baffling routes for simple navigation. It’s the one thing I still really want Tesla to fix.
Investor's Corner
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet,” BoA wrote.
Tesla received a tip of the hat from major Wall Street firm Bank of America on Wednesday, as it reinitiated coverage on Tesla shares with a bullish stance that comes with a ‘Buy’ rating and a $460 price target.
In a new note that marks a sharp reversal from its neutral position earlier in 2025, the bank declared Tesla’s Full Self-Driving (FSD) technology the “leading consumer autonomy solution.”
Analysts highlighted Tesla’s camera-only architecture, known as Tesla Vision, as a strategic masterstroke. While technically more challenging than the multi-sensor setups favored by rivals, the vision-based approach is dramatically cheaper to produce and maintain.
This cost edge, combined with Tesla’s rapidly expanding real-world data engine, positions the company to scale robotaxis far more profitably than competitors, BofA argues in the new note:
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet.”
The bank now attributes roughly 52% of Tesla’s total valuation to its Robotaxi ambitions. It also flagged meaningful upside from the Optimus humanoid robot program and the fast-growing energy storage business, suggesting the auto segment’s recent headwinds, including expired incentives, are being eclipsed by these higher-margin opportunities.
Tesla’s own data underscores exactly why Wall Street is waking up to FSD’s potential. According to Tesla’s official safety reporting page, the FSD Supervised fleet has now surpassed 8.4 billion cumulative miles driven.
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
That total ballooned from just 6 million miles in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and a staggering 4.25 billion in 2025 alone. In the first 50 days of 2026, owners added another 1 billion miles — averaging more than 20 million miles per day.
This avalanche of real-world, camera-captured footage, much of it on complex city streets, gives Tesla an unmatched training dataset. Every mile feeds its neural networks, accelerating improvement cycles that lidar-dependent rivals simply cannot match at scale.
Tesla owners themselves will tell you the suite gets better with every release, bringing new features and improvements to its self-driving project.
The $460 target implies roughly 15 percent upside from recent trading levels around $400. While regulatory and safety hurdles remain, BofA’s endorsement signals growing institutional conviction that Tesla’s data advantage is not hype; it’s a tangible moat already delivering billions of miles of proof.
News
Tesla to discuss expansion of Samsung AI6 production plans: report
Tesla has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla is reportedly discussing an expansion of its next-generation AI chip supply deal with Samsung Electronics.
As per a report from Korean industry outlet The Elec, Tesla purchasing executives are reportedly scheduled to meet Samsung officials this week to negotiate additional production volume for the company’s upcoming AI6 chip.
Industry sources cited in the report stated that Tesla is pushing to increase the production volume of its AI6 chip, which will be manufactured using Samsung’s 2-nanometer process.
Tesla previously signed a long-term foundry agreement with Samsung covering AI6 production through December 31, 2033. The deal was reportedly valued at about 22.8 trillion won (roughly $16–17 billion).
Under the existing agreement, Tesla secured approximately 16,000 wafers per month from the facility. The company has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla purchasing executives are expected to discuss detailed supply terms during their visit to Samsung this week.
The AI6 chip is expected to support several Tesla technologies. Industry sources stated that the chip could be used for the company’s Full Self-Driving system, the Optimus humanoid robot, and Tesla’s internal AI data centers.
The report also indicated that AI6 clusters could replace the role previously planned for Tesla’s Dojo AI supercomputer. Instead of a single system, multiple AI6 chips would be combined into server-level clusters.
Tesla’s semiconductor collaboration with Samsung dates back several years. Samsung participated in the design of Tesla’s HW3 (AI3) chip and manufactured it using a 14-nanometer process. The HW4 chip currently used in Tesla vehicles was also produced by Samsung using a 5-nanometer node.
Tesla previously planned to split production of its AI5 chip between Samsung and TSMC. However, the company reportedly chose Samsung as the primary partner for the newer AI6 chip.