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No, Tesla wasn’t “cheated” in the Model 3 headlight safety test by the IIHS
With the Insurance Institute for Highway Safety’s release of initial crash test information for the Tesla Model 3 came cries from many in the electric vehicle community that Tesla was “being cheated.” This isn’t entirely true as the new IIHS test removes a lot of cars out of the Top Safety Pick+ rating, the highest accolade the independent safety tester will give a car.
The Insurance Institute for Highway Safety (IIHS) is an independent testing organization funded by insurance companies and some of the banks who back them. The IIHS purchases every car it tests–usually several of each–and tests these vehicles in their highest-available safety configuration. These crash tests usually destroy the vehicles in question, of course, but give an independent, third-party result not otherwise available.
When the IIHS’ initial safety results for the Tesla Model 3 were released, they included ratings for only two of the seven total ratings given to a vehicle. Those ratings, posted to the IIHS.org website, created a lot of response from the community regarding the failure of the Model 3’s headlamps to pass muster.
The tests so far include only the non-invasive, non-destructive tests normally conducted by the IIHS. Namely to crash mitigation systems and headlamps. It’s likely that the next test to see release on the Model 3 will be for LATCH child safety system use, another non-destructive test. From there, crash testing will begin. For that, IIHS needs to receive more Model 3 vehicles (5 in all), the rest of which are on order and expected later this year. Like any other Model 3 buyer, delays in manufacturing have put the IIHS’ ownership of the cars for evaluation on hold.
How the IIHS Conducts Headlight Tests, and Why
The IIHS conducts headlamps tests because, according to the organization, about half of all fatal crashes in the U.S. occur in the dark and many of those are on unlit roads where headlamps are the only thing illuminating whatever’s in front of the car. Although headlights are mandatory and minimum illumination requirements are required by law for all street-legal vehicles, there is a wide variance in how much (and how useful) that illumination can be. Especially with the advent of new lighting technologies.
“Headlight technology has been developing rapidly in recent years. LED and high-intensity discharge (HID) lamps have begun to replace the traditional halogen ones,” IIHS explains on its website. “Many automakers offer curve-adaptive headlights, which respond to steering and swivel according to the direction of travel. Many also offer high-beam assist, a feature that can increase the use of high beams..” These and other variables mean that headlights of the same type on one vehicle can be much worse than they can on another. Even little things like how the lights are focused, what type of light they emit, etc. can change effectiveness.
[Credit: Parker Smith via YouTube]
For those reasons, the IIHS instituted a headlight testing methodology in 2016. Starting this year (2018), these test results directly affect a vehicle’s eligibility for Top Safety Pick+ status. So far in 2018, only a handful of models have received TSP+ ratings. Somewhat surprising for luxury and high-end car buyers is the fact that almost all of those TSP+ vehicles are lower-end vehicles from makes like Hyundai and Subaru.
Testing for headlamps is conducted using a multi-part evaluation using a hypothetical, clear, two-lane road. The tests include measurements in a straightaway, measuring both the length and amount of illumination as well as the amount of glare the lights create for oncoming drivers. Then a gradual left- and right-hand turn and a steeper left- and right-hand curve are measured for a total of five directions in all.
Results are taken from varied distances at 10 inches high and 3-feet, 7-inches high (from the ground) to mimic where the driver is looking (out and down) and where oncoming vehicle drivers are seeing from (higher up). Ratings are then assigned according to how these measurements line up with a hypothetical ideal headlight system. Both low and high beams are tested the same way with the low beams being weighted for scoring as they are used most often in the real world. Vehicles with automatic high beam systems are given more points as the high beams will be used more often.
The Controversy Surrounding the IIHS Headlight Test
The inherent weakness in this IIHS test is similar to that of most of its advanced testing: it’s only tested on the ideal vehicle trim level and options. In other words, the testing is most likely happening on the most expensive model being sold, not necessarily on the most mainstream version of the vehicle. This becomes obvious when the bulk of the Top Safety Pick+ list is comprised of vehicles like the 2018 Subaru WRX.
The WRX is a great car, sure; a personal favorite in fact. But its winning of a TSP+ badge is a little misleading. The volume-selling model WRX is the mid-tier Premium trim, which doesn’t include the LED headlights or the automatic high beam control tested by the IIHS. To get those, one has to go up to the more expensive Limited trim point and add the EyeSight system. That latter point can only come if the buyer of this driver’s car is willing to drop their manual transmission for a CVT. That’s another sticking point as the WRX has a large percentage of buyers who want to shift the gears themselves.
What all of this means is that the 2018 WRX is a great car, but it’s not likely to be purchased in the configuration which the IIHS used to test its headlamps with. Other cars on the TSP+ list are much the same.
The interesting note here is that unlike actual crash tests, the slightly more subjective headlamp tests of the IIHS fall into the non-destructive tests for other safety equipment that, while respected, are also flawed for the same reason: only top-end models tend to have all of that equipment on them. Unlike those other safety items, however, the headlamp tests can hurt higher-end models while lower-end options would ace them. Why? Because LED headlamps, which consistently appear to fail most of the glare testing that the IIHS does, are generally only found on top-end models or luxury vehicles. There could be a lot of reasons for that, but my personal theory is that it has to do with automakers having to find a median between maximum safe illumination and glare due to how reflective LED lamps are designed.
The current IIHS Top Safety Pick+ list includes no midsize luxury cars (which the Model 3 is considered), though the overall midsize car category has five entries. All of them with caveats as to what must be included (usually top trim point items or options). Last year, under the old rules, most midsize and midsize luxury cars made the TSP+ list and Tesla’s Model S failed to make the list in part, again, for headlights.
It’s difficult to say what will happen with the Insurance Institute’s testing going forward. Likely manufacturers will come up with solutions to receive better scores on the headlamps test, perhaps by changing LED lighting designs or gaming the IIHS tests (as they have in the past with the small front overlap).
Tesla has some smart engineers and could probably figure out a way to remedy the lighting problem that’s kept their vehicles from rating high on IIHS tests in recent years. With a mainstream attempt like the Model 3, that could become a very important goal as buyers in the midsize sedan category tend to be safety conscious consumers.
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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.
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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
