News
Tesla’s new Model Y gets first software update—Here’s what’s in it
Tesla’s new Model Y started delivering over the past few weeks, and its first software update is now here.
Tesla has officially started deploying its first software update for the recently refreshed Model Y, and it appears to add additional parts of a beta version of the Auto Shift feature, as highlighted by one owner this week.
After Tesla began deploying its software update 2025.8.6 over the past few days, photos from a couple of owners show that the refreshed Model Y has also started receiving the update. One Model Y owner, X user LRESP, posted on Sunday that the update also enables the latest version of Tesla’s beta Auto-Shift feature, as was echoed by another user in the thread.
Although some have pointed out that the new Model Y already had Auto-Shift enabled, the user points out that this update includes the version of the feature that allows three-point turns, though previous versions only allowed it to get out of park.
You can see the message displayed on the Model Y owner’s vehicle below, along with a few other notes about the recent software update.
Tesla’s Auto Shift (Beta) on Model Y
Auto Shift is currently in Beta.
For parking and multipoint turns, Auto Shift (Beta) can assist with shifting out of Park (P) or between Drive (D) and Reverse (R) drive modes based on your surroundings without you using the touchscreen.
Before you press the accelerator pedal, always check that the proposed drive mode matches your expectations and that it is safe to move in that direction.
Auto Shift (Beta) will only shift between Drive (D) or Reverse (R) drive modes in certain circumstances, and when transitioning out of Park (P) – not any other drive mode or situation. You must manually shift using the drive mode strip if the vehicle doesn’t do so.
Before you enable this feature, be sure that you understand how to operate the drive mode strip.
Do you want to enable Auto Shift while it is in Beta?
[No][Yes]
Credit: RE_LuisEV | X
Auto Shift between D & R is arguably one of the most underrated features of Tesla’s vehicles.
It’s something that has to be experienced to be fully appreciated. But once experienced, it’s pretty difficult to go back.pic.twitter.com/m60nDslbhy
— TESLARATI (@Teslarati) March 13, 2025
READ MORE ON TESLA MODEL Y: Tesla redesigned this crucial piece of hardware on the new Model Y
Tesla’s software update 2025.8.6
Along with Auto-Shift, Tesla has also added a number of other features with software update 2025.8.6, as shared a few days ago by Not a Tesla App. The update is also going out to legacy vehicles and Cybertrucks, and while the Auto-Shift beta addition is the only feature exclusively going out to the new Model Y, a handful of minor improvements are going out to most or all of Tesla’s lineup.
These include the ability to view the last 10, 100, or 200 miles of energy usage in the Consumption page, and the ability to clear your energy history. Tesla also notes that the battery’s energy estimates now account for all vehicle usage characteristics, along with being adjusted over time based on your driving history.
The update also lets owners run a Battery Health Test, which measures battery energy retention since the vehicle was new. This option can be found in the Controls, Service, and Battery Health menus.
Select Model Y units with model years between 2022 and 2024 have now been updated to use the cabin radar, a feature which is now being deployed standard with the refreshed version of the SUV.
The update also includes security fixes and other improvements that aren’t specifically documented, which went out to the company’s entire lineup.
These include some improvements to voice guidance and spoken directions, including that they automatically and immediately stop when ending a trip, rather than finishing phrases that have already started being spoken.
Additionally, Tesla improved the rainbow road feature in the update, no longer overlaying the visual overtop of the blue Autopilot visualization as it did in past updates. It also still incorporates certain Autopilot features, such as the display of arrows when the vehicle suddenly slows down.
For the Cybertruck, the update adds steer-by-wire improvements and the ability to adjust air suspension ride height using the Tesla mobile app. Meanwhile, the update also makes it so that Model 3 vehicles automatically transition to Standard Ride & Handling when Autopilot is engaged, though it can be disabled by navigating to Controls, Dynamics, and Use Standard Ride & Handling in Autopilot within the menus.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
