A Tesla owner recently critiqued the performance of Autopilot and Full Self-Driving after the conclusion of a 6,400-mile trip across the United States. According to the driver, more than 99 percent of the trip was driven utilizing Tesla’s semi-autonomous driving functions, with the critiques showing the automaker’s strengths and weaknesses in terms of how both Autopilot and FSD can affect a drive of this substantial distance.
Tim Heckman took his Model S Plaid equipped with FSD Beta and Tesla Vision on the 6,392-mile trip from Los Angeles to Reading, Pennsylvania, and back, recording most of the (currently unreleased) footage on a GoPro mounted inside the vehicle. There were undoubtedly positives but also negatives, as Heckman describes the utilization of Autopilot and FSD on a trip of this length as an advantage in the “personal cost” of driving this many miles in a matter of two weeks.
On December 15th I left to drive from Los Angeles to near Philadelphia. Got back yesterday, after a total of 6,392 miles in the Model S Plaid with #FSDBeta.
Drove more than 99% autonomously, and I’ve some not great @Tesla Autopilot + FSD thoughts and experiences to share… ?
— Tim Heckman (@theckman) January 1, 2023
But where Tesla’s systems helped, it hurt elsewhere. Heckman describes frustration with the company’s recent transition to a camera-only approach, known as Tesla Vision, the suite’s lack of consistency outside of California, and where the company might have spent its focus over the past few years during the development.
No Radar, No Problem?
As Heckman took the drive in a Model S Plaid with camera-based Tesla Vision, the lack of radar was the first point of emphasis. Autopilot was more accurate and less stressful in a previous Tesla that equipped both cameras and radar for operation, Heckman said. “The removal of radar on the highway was a huge mistake,” he said in a Tweet. “Tesla Vision very often misidentified vehicles in front as being much closer than they are, trigging strong phantom braking. Sometimes losing 20mph of speed before I can react, which is a huge safety concern.”
During some points of the drive, the vehicle would recognize cars and adjust speeds that were not actually there. Additionally, Tesla Vision’s performance in low-visibility conditions like rain and fog was not ideal. Past iterations of the suites proved more effective, in Heckman’s opinion.
The automaker rolled out Tesla Vision in early 2021 in the Model 3 and Model Y, and the Model S and Model X received the update in 2022. When Tesla announced it would transition to a camera-only system, CEO Elon Musk explained that radar had helped solve the shortfalls that cameras couldn’t solve. However, it was never in the plan to rely on both radar and cameras.
“And when your vision works, it works better than the best human because it’s like having eight cameras, it’s like having eyes in the back of your head, beside[s] your head and has three eyes of different focal distances looking forward. This is — and processing it at a speed that is superhuman. There’s no question in my mind that with a pure vision solution, we can make a car that is dramatically safer than the average person,” Musk said during the Q1 2021 Earnings Call.
Speed Limit Changes
Another huge problem Heckman described was a slow decrease in speed after the reduction of speed limits in an area. This occurred on streets and not on the highway, but still raised some concern. Heckman noted it took “many seconds” to reach the legal speed when limits decreased by as much as 20 MPH.
In fact, someone I know was pulled over on New Years Eve (yesterday) by a Nevada state trooper because #FSD took too long to slow down in observance of the speed limit going from 55mph to 35mph.
Is that acceptable? Especially when we’ll have single stack on the highway?
— Tim Heckman (@theckman) January 1, 2023
Were Autopilot and FSD beneficial during this trip?
Yes.
“I love long road trips, and Autopilot makes them easier,” Heckman said. Despite the issues, it was still a pleasant experience and something he hopes to do again on his next trek from LA to PA.
At the end of the day, I think this stuff has tremendous potential. But at this point there needs to be focus and good execution, while not causing regressions in the experience especially on features that impact your safety and the safety of others on the road.
— Tim Heckman (@theckman) January 1, 2023
Heckman said he believes the lack of progress and improvements when speaking in terms of highway performance may be related to Tesla’s focus on solving self-driving on city streets.
“As a result of changing focus, Autopilot experience is worse than when we got our Model 3 in summer 2019,” he said.
Fun Fact: Tim told me his two longest days of driving were from Fort Worth, TX, to Burbank, CA, equating to roughly 1,404 miles, and from Burbank, CA, to Amarillo, TX, for 1,079 miles.
I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.
Elon Musk
Elon Musk says your Tesla will start to learn your individual preferences
Elon Musk said today on X that Teslas will start to learn your individual preferences. This is something that he seemed to hint toward earlier this month when he said parking was by far the biggest reason drivers intervene with Full Self-Driving.
Musk made the comment in response to notable Tesla influencer Whole Mars, who said that his vehicle will sometimes disobey the settings he has enabled for his car. He responded to the post, stating that “The car will start to remember your specific interventions and match each person’s individual preferences.”
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
This is something that could be perhaps one of the biggest ways Tesla could minimize or even work closer toward eliminating interventions altogether. While FSD does a lot of things really well, many people intervene a vast majority of the time not due to major or critical safety errors.
Instead, many take over because the car is doing something that they do not like as a preference; it might park in a parking spot that is not preferred by the driver, it might linger too long in the left lane on the highway (a personal favorite), or it could even take a route that the driver does not like.
These all lead to interventions, but they are not triggered by a major safety issue. Instead, it’s just preference.
READ OUR REVIEW OF TESLA’S LATEST FSD VERSION:
Tesla Full Self-Driving v14.3.5 Early Impressions: new features and early performance
If Teslas could start to learn the personal preferences of the person who owns them, interventions will truly begin to be less frequent. Some of this is already pretty evident, in my opinion. Teslas use a neural network to learn behaviors and accumulate data to improve performance.
For months now, we’ve tracked FSD’s performance at “Except Right Turn” stop signs, something that is very common in Pennsylvania, but many of our readers located in other parts of the U.S. have never heard of. FSD handles one Except Right Turn stop sign very well, one that I travel past frequently. Others that I do not navigate through as often do not have as confident a performance. It seems like the cars might already be doing this to an extent.
🚨 Tesla Full Self-Driving v14.3 proceeds through an Except Right Turn Stop Sign pic.twitter.com/YemRSlens7
— TESLARATI (@Teslarati) April 8, 2026
That example is also for something that is a street sign and not necessarily a driver preference; however, I still feel it is worth mentioning because it only handles that commonly passed Except Right Turn stop sign with true confidence. Others it still seems to struggle with.
This could be one of Tesla’s big moves toward full autonomy, and it could be a pathway to truly unsupervised driving. Every day, millions of cars on the road travel at a human driver’s personal preferences with no incident. Why can’t autonomous vehicles still cater to a passenger’s preferences while being autonomous? Tesla seems to have the idea that it would be possible.
News
Ron DeSantis calls out media bias in Tesla crash coverage
Florida Governor Ron DeSantis has sharply criticized legacy media outlets for what he describes as selective and biased reporting on vehicle accidents involving Tesla. In a recent X post, DeSantis questioned why headlines routinely spotlight the Tesla brand in crash stories, even when human error is the clear cause, while similar incidents with other automakers often receive generic treatment.
A prime example is the June 19, 2026, fatal crash in Katy, Texas. A Tesla Model 3 driven by Michael Butler struck a brick home at high speed, killing 76-year-old Martha Avila inside. Initial reports and headlines prominently featured “Tesla crash” and referenced the driver’s claim that an automated driving-assistance system was engaged.
Many outlets quickly speculated that Full Self-Driving or Autopilot were the cause of the crash, immediately blaming the suites for the accident shortly after it happened.
However, Tesla responded shortly after the accident with vehicle data that showed Butler manually overrode the system by pressing the accelerator to 100 percent, reaching 73 MPH in a residential area, more than double the speed limit. The accelerator remained floored after impact.
Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration
The National Transportation Safety Board (NTSB) later confirmed these findings, and Butler now faces manslaughter charges. His phone searches also included queries like “Tesla FSD too timid,” suggesting he may have intervened aggressively. Despite this, many headlines continued to center Tesla’s technology rather than the driver’s actions.
DeSantis highlighted a Washington Post headline, which was labeled, “Newly released photo shows wreckage of Tesla crash that killed grandmother.”
Do legacy media outlets typically use headlines involving the make of a car in a crash or is that only for Tesla?
It would be one thing if the self-driving malfunctioned but the crash was purely human-induced.
Seems like these outlets want to associate Tesla with crashes as… pic.twitter.com/EmfyeYiuv6
— Ron DeSantis (@RonDeSantis) July 17, 2026
The subheadline noted the driver overrode assistance and floored the accelerator, yet the brand name dominated the framing. He asked whether legacy outlets typically name the make of a car in routine crashes or reserve that treatment for Tesla to push a narrative.
This pattern appears widespread. Crashes involving Ford, Chevrolet, or Toyota vehicles frequently appear as “pickup truck slams into home” or “fatal car crash kills pedestrian” without brand specifics, especially absent new technology angles.
High-profile Ford F-150 or Chevy Silverado incidents tied to large sales volumes often escape brand-callout scrutiny. In contrast, Tesla stories consistently lead with the manufacturer, amplifying perceptions of risk despite data showing strong overall safety performance:
🚨 Why do Tesla Owners get so defensive over the narrative of crashes involving Teslas? https://t.co/aX7ogtjTCR pic.twitter.com/KO4QWaLOKl
— TESLARATI (@Teslarati) June 24, 2026
Tesla’s own 2025 Impact Report indicates vehicles using FSD logged 0.19 major incidents per million miles, roughly eight times fewer than the U.S. average. Models like the Model Y also rank among the safest in IIHS and NHTSA testing for occupant protection. Critics argue disproportionate coverage ignores these statistics and driver behavior factors, such as younger or more aggressive Tesla owners in some studies.
DeSantis frames this as part of a broader political agenda against innovative American companies like Tesla. By consistently naming Tesla while downplaying others, media outlets risk eroding public trust and shaping perceptions detached from the evidence of human error in most cases.
As autonomous technology evolves across the industry, consistent and factual reporting will be essential to separate real safety concerns from narrative-driven coverage.
News
Tesla enters two new markets on two different continents in one week
Tesla entered two new markets this week by advancing its presence in Latvia (Europe) and officially launching operations in Uruguay (South America), marking a rapid dual-continent expansion.
These moves underscore the company’s strategy to tap into emerging EV markets with supportive policies, renewable energy grids, and growing demand for sustainable transport.
Latvia: Strengthening the Baltic Footprint
In Latvia, Tesla has built on its earlier registration of Tesla Latvia SIA in late 2025 with recent steps toward full operations, including job postings for a service center and representation in Riga. This aligns with broader Baltic expansion following Lithuania’s model of pop-up stores and service centers.
Coming to Latvia https://t.co/XNkQQJ2O6a pic.twitter.com/yS9kpcNky1
— Tesla Europe, Middle East & Africa (@teslaeurope) July 17, 2026
EV penetration in Latvia stands at around 7 percent for BEVs in new passenger car registrations. 2025 data showed 1,602 BEVs out of about 22,500 total, or 7.1 percent, with combined plug-ins nearing 19 percent. Growth has been steady but below the European average, supported by government subsidies and infrastructure development. Tesla models like the Model 3 lead local EV registrations.
Vehicles for the Latvian market will likely be sourced from Gigafactory Berlin or Gigafactory Shanghai. Charging infrastructure is robust for the region as well, with over 400- 2,000 public points, with Tesla Superchargers in Riga, Jūrmala, and along Via Baltica routes offering up to 250 kW.
Uruguay: Third South American Country
Tesla teased its Uruguay arrival with “Estamos llegando,” or, “We are arriving,” on social media, followed by an official presentation scheduled for mid-July.
Hola Uruguay 🇺🇾
Nuestros Model 3 y Model Y están cada vez mas cerca! pic.twitter.com/FR41fsA7um
— Tesla Latinoamérica (@Tesla_LatAm) June 30, 2026
The company established Tesla Uruguay SAS, homologated Model 3 and Model Y (three versions each), and appointed local leadership. This makes Uruguay Tesla’s third official South American market after Chile and Colombia.
Uruguay boasts one of Latin America’s highest EV penetrations, with battery-electric vehicles exceeding 20 percent market share recently, driven by tax incentives, high fuel prices, and a nearly 95-100 percent renewable electricity grid. Hundreds of Teslas already operate via grey imports, but official sales bring warranties, service, and support.
Vehicles will be imported from Gigafactory Shanghai, enabling competitive pricing for Model 3 and Model Y. Charging plans include Supercharger development alongside existing infrastructure, leveraging the country’s green energy advantage for affordable operation.
Tesla Superchargers follow Model 3 and Model Y to South American country
Tesla’s Dual Continent Expansion
Tesla’s simultaneous push into Latvia and Uruguay demonstrates efficient scaling: prioritizing service and infrastructure first, then direct sales in high-potential niches. In Europe, it fills Baltic gaps; in Latin America, it counters Chinese dominance while leveraging renewables.
This dual move signals Tesla’s ambition to accelerate global EV adoption amid varying regional paces. By addressing local needs, like subsidies in Latvia or incentives and green grids in Uruguay, Tesla not only boosts volumes but advances its mission of sustainable energy.
For investors and consumers, it highlights resilience and opportunity in diverse markets, potentially paving the way for further growth in underserved regions. With strong fundamentals in both, these entries could yield long-term gains as EV transitions mature worldwide.