Tesla has issued yet another giant update for its Full Self Driving (FSD) software, dramatically improving vehicle behavior in numerous situations.
Despite the controversy that seems to consistently surround Tesla’s autonomous driving suite, it just keeps improving, with new features and capabilities added at an astounding rate. Now, Tesla has issued yet another dramatic update to Full Self Driving, bringing significant improvements in vehicle intelligence and the dream of fully autonomous vehicles one step closer to reality.
@Winnersechelon first reported the newest FSD update on Twitter, posting a screenshot of the release notes for the update.
Release notes for latest FSD Beta release pic.twitter.com/0lDmZbmEUb
— TeslaBull FSD BETA (@Winnersechelon) April 17, 2023
Perhaps more than previous updates, 11.4 focuses on vastly improving vehicle behavior, with new features taking a back seat. According to Tesla’s release notes, those improvements are seen throughout numerous environments.
Foremost, Tesla FSD is better than ever at recognizing and reacting to pedestrians that are either about to cross the street or are already doing so. This stems from an improvement in kinematic calculations, which allows the vehicle to predict where people, vehicles, and objects are going. Regarding pedestrians, the vehicle will act more smoothly, either progressing through the intersection or stopping.
This improvement also extends to other “vulnerable road users,” such as bikers and cyclists, which Tesla FSD will now react more quickly to and slow down for if necessary.
Another improvement that urbanites can enjoy is in “turn performance.” When in dense city areas or unexpected turns, the vehicle will now follow the turn more correctly, dodging parked vehicles and avoiding bus lanes. This improvement is paired with an update to bus lane recognition overall, helping to prevent the vehicle from being where it isn’t supposed to be.
Other updates focus on improving performance in more rural areas. One such improvement is improved lane, line, and edge of road detection, which can be helpful in areas with less consistent road painting and paving. This update feeds into two others, improved lane guidance, ensuring the vehicle is in the correct lane to reach its destination, and improved prediction of the movement of “partial cut-ins,” or cars that haven’t wholly dedicated to a lane. Tesla’s massive library of clips and auto-labeling system makes both upgrades possible.
In the case of improved lane guidance, Tesla states that this update will reduce driver interventions by 64%, ensuring the vehicle isn’t in the wrong lane and reaches the destination more consistently.
Another update affecting how Tesla vehicles behave in lanes is lane change speed control. Tesla FSD will now consider “upcoming navigation deadlines” and will use more or less speed if necessary to switch lanes. Moreover, the vehicle will more accurately calculate the number of lanes it needs to change, thanks to Tesla’s ever-improving vehicle network.
Vehicle speed also improves in countless other situations as well. Thanks to Tesla’s all-new “Vision Speed” network, its network of vehicles can now infer the typical driving speed of any given roadway, improving how the vehicle reacts to areas that typically require lower speeds, such as neighborhoods or parking lots.
The final speed update regards how the vehicle reacts to the weather. The max autopilot speed will now take into account current weather conditions and limit driving speed if visibility or traction is too poor. According to Tesla’s release notes, this calculation is quite advanced, as it will take into account not only its condition, such as tire tread, and its data on visibility and road wetness, but it will also account for outside factors, such as tire spray from other vehicles and traffic intensity.
The final two updates are far more general and will improve the vehicle’s autonomous operation overall. First, Tesla has improved “long-range path blockage,” meaning that its vehicles will more quickly merge into other lanes to avoid obstacles in the road. Second, Tesla has reduced “photon-to-control” latency by 2%, meaning the vehicle will react 2% faster to anything it “sees.”
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SpaceX just locked up a NASA record no other U.S. spacecraft can touch
SpaceX’s Crew-13 Dragon reached the ISS in under eight hours, and NASA confirmed a record.
SpaceX now owns every spot on the list of the five fastest trips a U.S. spacecraft has ever made to the International Space Station, and its newest entry beat the old mark by more than four hours.
Crew Dragon Grace docked to the forward port of the station’s Harmony module at 7:05 p.m. ET on October 1, just 7 hours and 55 minutes after lifting off from Space Launch Complex 40 at Cape Canaveral. NASA confirmed the milestone in a space station blog update, writing that the flight “marked the fastest launch‑to‑docking of a U.S. spacecraft in the history of the International Space Station.”
The previous U.S. record also belonged to Dragon. SpaceX’s uncrewed CRS-31 cargo mission reached the station in a little over 12 hours in November 2024. The fastest crewed trip before last week was Crew-11, which took 14 hours and 43 minutes in August 2025, according to Space.com.
A post that Elon Musk reposted on Monday filled out the rest of the ranking. Behind Crew-13, CRS-31 and Crew-11 sit Axiom’s Ax-2 mission at 15 hours and 35 minutes and NASA’s Crew-4 at 15 hours and 44 minutes. All five flew on Dragon.
SpaceX turned a heralding moment for Starship into its greatest
Crew-13 carried NASA astronauts Jessica Watkins and Luke Delaney, Canadian Space Agency astronaut Joshua Kutryk, and Roscosmos cosmonaut Sergey Teteryatnikov. NASA had projected a docking around 8 p.m. ET, as Teslarati reported the day before launch, and Dragon arrived nearly an hour early. Our launch day coverage noted that the flight was lined up to be the quickest Crew Dragon transit yet.
The speed came from timing more than hardware. SpaceX’s Julianna Scheiman said the station “was in an opportune spot in space,” which let Dragon start closing the gap almost immediately after reaching orbit. “This is close to the fastest it could be,” she added. Most Crew Dragon flights still take close to a day, using a series of Draco thruster burns to raise and phase their orbit before arrival.
Dragon’s next job at the station is a departure. NASA said Monday it is targeting 8:05 a.m. ET on Wednesday, October 7, for Crew-12 to undock, setting up a splashdown off the coast of California around 11:34 a.m. on Thursday. Clearing that port makes room for CRS-35, a cargo Dragon carrying the final set of iROSA solar arrays.
Dragon remains NASA’s only operational ride to the station while Boeing’s Starliner stays grounded, and the agency recently added Crew-15, Crew-16 and Crew-17 to SpaceX’s contract in a $946 million modification.
Elon Musk has acknowledged that early discussions with Taiwan Semiconductor Manufacturing Company (TSMC) could bring the company into his ambitious Terafab semiconductor project, signaling a possible partnership with the world’s leading contract chipmaker.
Musk confirmed that early talks are underway, but as of right now, they are “just discussions.” There is no confirmation of a deal nor dismissal of the possibility of one, leaving open the prospect of one of the largest advanced-chip collaborations under discussion in the U.S.
@wholemars Just discussions, but something may come of it
— Elon Musk (@elonmusk) October 3, 2026
The report that speculated on potential discussions between Terafab and TSMC comes from Tim Culpan, who outlined a few ways the collaboration could operate. One is TSMC using the project as an “anchor customer” for future facilities in Texas, potentially contributing process expertise, operational know-how, or capacity while Terafab provides capital, long-term purchase commitments, or both.
Tesla and SpaceX jointly developed the Terafab project, with Intel already participating on the tech side. Elon Musk announced the project in March, and it intends to produce more than one terawatt of AI compute capacity annually once fully built.
Company statements place the first phase at approximately $16.8 billion in cost, with later filings pointing to a total that could reach well into the tens of billions across multiple stages.
Intel joined the effort in April 2026 and is expected to supply its 14A manufacturing process for the full-scale plant.
Musk has said existing suppliers, including Samsung and TSMC, remain important for near-term needs; Tesla already has production arrangements with Samsung for AI5 and AI6 chips, but that future demand from Optimus robots, Cybercab vehicles, and planned space-based data centers will eventually exceed what the global industry can currently deliver.
Terafab is positioned as the long-term answer to that projected shortfall, and Tesla did something similar during COVID to avoid a chip shortage. This is just a much larger-scale solution.
If the partnership were to materialize, it would add TSMC’s industry-leading strategies to a project that already combines Tesla’s and SpaceX’s capital and offtake with Intel’s process technology. For now, the only public confirmation is Musk’s brief acknowledgement that conversations are occurring.
Tesla’s early strategy for charging units operating within its Robotaxi fleet reveals that the company surely has not lost any of that scrappy DNA that took it from an unlikely success story to the most valuable carmaker in the world.
An observer at a Tesla Supercharger in Austin spotted ten total Robotaxi vehicles arrive: one Cybercab and nine Model Y units. A Tesla employee was waiting at the lot and allowed each unit to park itself; every car that arrived had nobody in it.
Tesla wins FCC approval for wireless Cybercab charging system
The Tesla employee would walk around and plug each car in, adjusting the parking if needed:
So look at what I found. This is how Tesla charges unsupervised robotaxis at a public supercharger. Here is a driverless Cybercab showing up with no one in it. There are 9 other Model Ys that showed up too. A Tesla employee is walking around and plugging each of them in. She also moves the cars if they are not positioned well enough to charge. I love this process. One person charges multiple robotaxis at once
— Abhimanyu Yadav (@WorldlyReviewer) October 3, 2026
It’s a very interesting strategy, but extremely understandable at this early point in the Robotaxi program. It’s only been out for about 15 months, and Cybercab just entered the fleet in early September.
On top of that, Tesla is still working tirelessly on its wireless charging apparatus, and a new patent was just published regarding that product last week.
However, this is just another example of how Tesla still has plenty of that scrappy DNA leftover from the “production hell” days, when CEO Elon Musk slept on the floor of the factory, employees were working crazy hours, Tesla was building Sprung Structures to build cars in, and the company was tiptoeing on the brink of bankruptcy.
@Teslarati Sheer magnitude of the entire production system is hard to appreciate. Almost every element of production is >75% automated. Only wire harnesses & general assembly, which are <10% of production costs, are primarily manual.
— Elon Musk (@elonmusk) October 12, 2020
For now, Tesla is utilizing a simple system for recharging its ride-hailing vehicles, and that is a Tesla employee doing it manually until another solution presents itself. Sure, it’s not the most high-tech thing, and it certainly is not what people might have expected at this point in time, but it works, and it’s keeping the entire suite running.
SpaceX just locked up a NASA record no other U.S. spacecraft can touch
Elon Musk teases TSMC as potential Terafab partner
