News
Tesla coverage turns negative a week before crucial Earnings Call
Tesla news coverage this week has been especially negative, and the timing of it, which comes a week before arguably the most anticipated Earnings Call in recent memory. With Tesla reporting production and deliveries that were well over Wall Street’s consensus, anticipation for the Q1 2021 Earnings Call is slightly higher than usual, and the FUD (Fear, Uncertainty, Doubt) is at an all-time high.
There are always a few negative Tesla stories every week. It might involve a story about some owners who didn’t receive adequate customer service, it might be about a production bottleneck that Tesla is encountering. However, these are relatively micro-scale issues that are resolved within a matter of days in most cases. This week, the news has been geared toward more disruptive, long-term, macro-level issues, like a very public car accident that has both sides of the Tesla circle butting heads, a test from a very well-known product review company that has to do with the aforementioned accident, and other safety issues that have resulted by a rumored irresponsible driving speed by a customer in China. Whether you agree with it or not, there seems to be a more coordinated attack on something that Tesla does well, which is to keep its drivers and owners safe. One of the strongest points of Tesla’s overwhelmingly successful venture into the automotive industry thus far was the company’s ability to keep vehicle occupants safe in the event of a crash, and also roll out software and semi-autonomous driving functionalities that aim to improve consumer safety in revolutionary ways.
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This doesn’t always turn out to be what the media wants to report, however. The week before the Q1 Earnings Call, it was relatively impossible to notice that the tide turned negative on Tesla news coverage. While it is understandable that a violent automobile crash that took the lives of two men should be covered, it captured national headlines and dominated news coverage across the world for several days. Interestingly, I don’t remember such widespread news coverage for the Ford Death Wobble.
Journalists find stories and then build upon them for other sorts of coverage. It’s spin-off coverage where readers get to see how creative the mind of a writer is. There are millions of stories that could be written based on the recent automobile accident. However, a majority of them were negative, and it doesn’t necessarily come down to truth, it comes down to perception. Unfortunately, I don’t believe that many of the journalistic coverages were completely accurate simply because of Autopilot’s misunderstood capabilities in the real world. I still receive questions and comments daily from those who I talk to who believe Teslas are capable of driving themselves. What is even more frustrating is that, at times, owners and drivers, who should have the company’s best interest at heart, spread content, Tik Toks, and other forms of social media portraying that their all-electric car can drive them from Point A to Point B while they sit in the back seat and take a nap. This kind of content is irresponsible, immoral, and wrong. Acting like a Tesla can drive itself completely just for few thousand views is a selfish act that puts the hard work of Tesla engineers at risk for losing all of their work.
That brings me to the unfortunate accident in Texas. We don’t know, yet, what the exact cause of the accident was. We don’t know who was in the driver’s seat, if AP was being tricked, or if it was even on at this point. Most evidence would likely indicate that AP couldn’t have been activated due to the lack of road lines, and the rate of travel isn’t something that AP would let the driver do, to begin with. Eventually, we will have all the facts of this story, and we will be able to accurately say who or what was responsible. But as of right now, those things cannot be speculated against.
Still, news sources are claiming that this car was “driverless,” which is a complete nonsensical narrative considering there are many boundaries that would require a driver to be present during the vehicle’s operation. This didn’t stop Consumer Reports from putting together one of the most ridiculously biased tests I have ever come across. I felt that it simply proved Tesla Autopilot would only be tricked in extreme circumstances, by not following the automaker’s directions and trying to outsmart one of the most capable semi-autonomous driving programs in the world.
The obvious effort to derail Tesla’s momentum is being noted by the fans, followers, and owners of the company. For the life of me, I cannot understand why. In my perspective, for years, MSM has been driving home the point of global climate change, using it as a way to scare people into change. While I believe that fear isn’t always the best way to convince a large group of people to do something, I think climate change is a real issue and it will affect people for generations to come. With cars being such a large contributor to the problem, you’d think the media, the same interests that have been preaching the dangers of carbon emissions for years, would report car companies who are working to transition the automotive industry to electrification, would get a “fair shake.” This just hasn’t been the case.
Trust me, I am a critic of Tesla when it is warranted. I have experienced issues with their customer service department personally, and I have been highly critical of their handling of other issues with its vehicles. I have spoken many times about the LR RWD Model Y and how it was a disgrace for Tesla to keep these pre-orderers in limbo for years. However, there are statistics that prove FSD and AP’s ultimate task: to make driving safer. Most recently, the Q1 2021 Safety Report showed Autopilot was nearly 10 times safer than a human driver. You don’t see mainstream media covering this, but you’ll notice automotive blogs and news outlets taking full advantage of the statistics, which prove Tesla’s mission is becoming more real with every mile driven.
With the momentum Tesla posted with the Production and Deliveries report, I think many people were expecting a big financial quarter. The timing of the negative news is eye-opening, and it seems to be a coordinated effort to perhaps slow down Tesla’s momentum moving forward. Tesla is gunning for yet another consecutive quarter, bringing the total to seven straight if things go well on Monday. Whether Wall Street will recognize the impressive tone of this feat, we’ll see. However, media coverage has done all it can to bring Tesla’s chances of a great quarter down, but with developments, demand, and deliveries all in healthy figures, there doesn’t seem to be much of a chance of that happening.
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News
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.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
