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.
SpaceX has updated its target for the thirteenth integrated flight test of Starship, aiming for as early as Thursday, July 23. The 90-minute launch window opens at 5:45 p.m. CT from the company’s Starbase facility in South Texas.
The target flight was initially rescheduled for today, but SpaceX pushed it back again.
This latest adjustment follows an aborted attempt earlier in the week and reflects the iterative, rapid-development approach that has defined the Starship program. With the vehicle already stacked and ground teams making final preparations, the mission represents another step toward proving the full reusability of the world’s most powerful rocket system.
Now targeting to launch Starship’s thirteenth flight test as early as Thursday, July 23 → https://t.co/Rp7VwBzpWx pic.twitter.com/Y0YNzfc5zk
— SpaceX (@SpaceX) July 19, 2026
The original launch attempt on July 16 was scrubbed at T-0 when several Raptor engines on the Super Heavy booster failed to ignite properly. The automatic abort system triggered just as the engines began their startup sequence, preventing liftoff.
SpaceX CEO Elon Musk confirmed that some engines did not start as expected, prompting the decision to replace two Raptors on Booster 20 to ensure reliability. The issue occurred despite a successful full-duration static fire earlier, highlighting the complexities of coordinating 33 engines under flight conditions.
This cautious approach underscores SpaceX’s commitment to safety amid an aggressive test cadence.
Flight 13 builds directly on the lessons from Flight 12 in May 2026. The Super Heavy booster’s primary goals include a successful liftoff, ascent, stage separation, boostback burn, and controlled splashdown in the Gulf of America.
Hardware and software modifications address the off-nominal flip and boostback burn problems from the prior flight, where propellant slosh and engine relight issues led to an uncontrolled impact.
For the Starship upper stage, objectives include deploying 20 operational Starlink V3 satellites, the first real payload of this type, performing a single Raptor engine relight in space, and executing a controlled entry, descent, and splashdown in the Indian Ocean. Propulsion upgrades aim to improve engine-out capability after one vacuum Raptor was lost on Flight 12.
Additional test elements focus on heat shield performance. Six satellites carry cameras to image the tiles during flight, while white-painted tiles and upgraded attachments on flaps and the aft skirt will gather data for future reusability.
The FAA completed its mishap investigation into Flight 12 earlier this month, clearing the regulatory path.
This suborbital mission, the second with V3 vehicles, advances Starship toward operational missions, including potential crewed flights and support for NASA’s Artemis program. Success would mark significant progress in rapid reusability and satellite deployment from the massive system.
Elon Musk dismissed reports claiming SpaceX had placed a massive order for NVIDIA GPUs worth $52 billion. The denial came hours after Taiwanese media, citing unnamed industry sources, reported that SpaceX planned to acquire approximately 13,000 AI server racks, equating to roughly 1 million GB300 GPUs, from Foxconn.
Each rack was estimated at around $4 million, with deliveries potentially starting in late 2025.
The story suggested this would mark SpaceX’s first major foray into Foxconn-manufactured NVIDIA hardware, breaking from suppliers like Supermicro and Dell. Musk responded bluntly on X:
This is fake news
— Elon Musk (@elonmusk) July 20, 2026
Despite the denial, the rumored scale aligns with SpaceX’s explosive growth in AI infrastructure. NVIDIA’s GB300 (successor to the GB200 NVL) racks deliver unprecedented performance for large-scale training and inference. A $52 billion commitment would dwarf most corporate AI budgets and provide the compute muscle needed for frontier models.
SpaceX already operates gigawatt-scale terrestrial clusters like Colossus in Memphis, Tennessee, and has monetized them aggressively through leasing deals.
SpaceX’s newest Starmind will make earth data centers obsolete
Major customers include Anthropic (paying ~$1.25 billion monthly for 220,000+ GPUs), Google (~$920 million monthly for 110,000 GPUs), and Reflection AI. These arrangements are projected to generate tens of billions in annual revenue, far outpacing traditional SpaceX businesses.
Such an investment would fuel internal AI efforts, particularly Grok models under the integrated SpaceXAI division, while supporting ambitious orbital data center plans. SpaceX envisions launching thousands of AI-optimized satellites powered by solar energy and cooled in space, bypassing terrestrial power and land constraints.
This “Starmind” constellation could position the company as a leader in space-based computing.
SpaceX as an Emerging AI Powerhouse
Once primarily known for reusable rockets and Starlink satellite internet, SpaceX has transformed into a multifaceted AI player.
The 2026 acquisition of xAI integrated Grok development directly into the company. Starlink’s low-latency global network complements massive compute clusters, enabling efficient data flow for training and serving AI models.
Musk has long argued that AI scaling demands solutions beyond Earth, citing things like real estate and electricity limits on the ground.
While the Foxconn deal may not be in the cards, SpaceX’s trajectory is continuing on the path of blending aerospace engineering with hyperscale AI to dominate both launches and intelligence infrastructure.
Elon Musk shed more details on the upcoming improvements to Tesla’s Full Self-Driving suite, specifically one that the CEO mentioned last week, which should help owners see fewer interventions.
Last week, Musk hinted that one major improvement that Tesla planned to roll out to Full Self-Driving users was the car’s ability “to remember your specific interventions and match each person’s individual preferences.”
Elon Musk says your Tesla will start to learn your individual preferences
This small bit of detail was linked to a post from Tesla community member Whole Mars, who said that FSD’s tendency to exit the carpool lane, a feature that owners can turn on but at times the car will disregard.
It sounds like, based on Musk’s two responses since that original post, it is safe to say the things FSD will start to remember are wide-ranging. However, it seems the biggest differences will be noticed with parking performance, which Musk continues to mention.
Highway Lane Preferences
The initial post Musk mentioned, with these new remembered preferences soon to arrive for Tesla owners everywhere, was the Carpool/Express Lane.
Tesla has a setting in the FSD menu that lets drivers enable HOV Lane travel. However, the car won’t always stay in that suggested or preferred lane.
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
Some owners have also complained of left lane camping, an illegal maneuver in at least some states. Cruising in the passing lane has resulted in tickets for some, as it is illegal in over 30 states in the U.S.
Tesla did not confirm if these preferences would also be included in new FSD behaviors, but it would certainly help move the company toward fewer interventions.
Parking Preferences
This seems to be the real focus of the entire operation, as Musk stated several weeks ago that parking was overwhelmingly the most frequent reason for interventions.
The major issue with parking is not necessarily the parking “performance,” as FSD is generally good at parking. It definitely has its issues; we’ve recorded plenty of them, including this one as recent as last week:
Yeah it seems like FSD v14.3.5 is having some issues with parking early on https://t.co/Bw5ULfVmDq pic.twitter.com/RHdpjOEpIo
— TESLARATI (@Teslarati) July 13, 2026
However, the changes coming are more about preferences, meaning where you park and how your car enters the spot, either pulling in or backing in. Owners have also reported that pulling into the correct driveway is a relatively rare thing for FSD, something else that needs to be confronted.
Musk basically confirmed that all of these things would be part of Tesla’s plan to address driver preferences with FSD:
Yes
— Elon Musk (@elonmusk) July 20, 2026
It’s obvious there is something big coming with FSD, and the company’s focus seems to be eliminating any intervention that would be related to preferences. This is probably the biggest bottleneck between Tesla and being fully autonomous. Critical interventions do occur, but they are much less frequent.
The only time a driver should be taking over is because of a critical intervention; this seems to be the goal of Tesla right now.
This all seems to be a priority as Tesla continues to move closer to the prospect of unsupervised driving.
SpaceX adjusts Starship Flight 13 test launch target date once again
Elon Musk debunks $52 billion SpaceX-NVIDIA GPU deal
