News
The Tesla Cybertruck’s looks are not as big of a deal as critics think
Just recently, Elon Musk acknowledged on Twitter that the Tesla Cybertruck might be a flop simply because it is so unlike anything else on the market. This has resulted in numerous Tesla skeptics predicting that the all-electric pickup truck’s design is so out there that the vehicle would be the company’s first true failure. Such sentiments, however, may be overblown, as the Cybertruck’s looks may not be as big of a deal as critics think.
Numbers Don’t Lie, and Specs Matter
The Cybertruck is a pickup truck, even if it does not look like a traditional truck. This means that it is designed to be capable enough to handle tasks that are typically expected of pickups. This is the reason why the Cybertruck has a large 6.5-foot bed, 100 cubic feet of exterior lockable storage, up to 3,500 lbs of payload capacity, and a towing capacity of up to 14,000 pounds. These matter, especially among buyers who actually use their pickup trucks for work.
These specs are pretty hard to beat. Even the Ford F-150 Lightning, which seems to be on track to become one of the most popular all-electric pickup trucks in the market, does not match up to the Cybertruck’s specs. Even if rumors are true and the Ford F-150 Lightning really has a range above 400 miles per charge, the Cybertruck’s tri-motor variant is listed with a range of over 500 miles. Tesla has so far not disappointed when it comes to its vehicles’ EPA-rated miles.
A Reliable, Rapid Charging Network Matters
During Car and Driver‘s recent “EV 1000” test, it was revealed that the US’ best electric vehicle rapid charging infrastructure is still the Tesla Supercharger Network. There are other networks that provide rapid charging services, but few if any could match the Supercharger Network’s ease of use, reliability, and sheer size. This matters a lot for all-electric pickup trucks, many of which would likely not achieve their rated range due to the cargo they carry or the items they tow anyway.
What is rarely mentioned is that Teslas are not only compatible with the Supercharger Network. Teslas can also charge at EVgo and Electrify America stations, to name a few. This means that the Cybertruck could charge at the same rapid charging stations as rivals like the F-150 Lightning on top of the Supercharger Network. This is a notable advantage, and one that would likely be appreciated by those who drive the all-electric truck.
Looks May Not Matter As Much
One has to get this point out of the way. Trucks are tough vehicles that are widely expected to handle the worst that the elements can offer. The Cybertruck could definitely be described as ugly, but it’s just like other pickups in the market in the way that it’s not necessarily competing with exotic supercars in the looks department. Elon Musk may have a point when he noted that pickups have generally looked the same over the decades, and it might be time for something new.
The Cybertruck is designed to weather the worst that the elements can offer, and with its thick stainless steel exoskeleton and tank-like appearance, it definitely ticks off the boxes in the toughness department. With this in mind, reasons like “but it looks so weird” and “I’m not comfortable with its looks” almost sound pretty lame. Even businesses that operate fleets of pickup trucks would probably prefer a vehicle that’s superior in specs and price, after all, even if its looks leave some to be desired.
Besides, different does not necessarily mean that something will be a flop. Just look at the Nissan Juke. No one can deny that it looks extremely weird, but it has sold over 1 million units in the first decade of its production. Why was this so? Because it’s a dang fun car and it’s quirky, and it does crossover things in a very good crossover way. It’s fairly reliable, sturdy, and cheap to maintain. Other drivers on the road would be hard-pressed to ignore it too, for better or for worse.
An iPhone Lesson
A pretty popular anecdote in the mobile phone industry involves the first-generation iPhone and how it was received by critics. Back then, the term “smartphone” generally referred to a fairly large handheld device with a full physical keyboard and some email capabilities. Then came a block of glass with an onscreen keyboard that offers no tactile feedback when typing. This attracted its own fair share of skeptics, many of whom felt like the device was just too strange to be a serious threat to the mobile phone giants at the time, such as Nokia and Blackberry.
Just check out this section from a 2007 review from TechCrunch, which was skeptical of the iPhone’s keyboard. “That virtual keyboard will be about as useful for tapping out emails and text messages as a rotary phone. Don’t be surprised if a sizable contingent of iPhone buyers express some remorse at ditching their BlackBerry when they spend an extra hour each day pumping out emails on the road,” the publication wrote.
So can the Cybertruck be a flop? It may, though unofficial trackers estimate that over 1 million reservations for the vehicle have been filed to date. But even if the vehicle does turn off many buyers such as die-hard truck guys who swear by their F-150s’ looks, the fact remains that the Cybertruck does not need the support of avid truck aficionados to be successful. It just has to show the world that it is a viable product with superior specs and durability at a reasonable price point. If it accomplishes this, then the Cybertruck would likely be fine.
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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
