Tesla is currently rolling out some improvements to the Model S and Model X’s smart suspension system. With the updates in place, owners of the flagship sedan and SUV will be able to access real-time visualizations of their vehicles’ suspension system, while enjoying the benefits of automated suspension adjustments to optimize comfort and range.
Tesla’s smart air suspension was among the features that headlined the Raven updates to the Model S and Model X last year. Real-world tests from owners of the electric vehicles showed that the revamped suspension system improves comfort. Elon Musk, for his part, noted then that more improvements to the Model S and Model X’s smart air suspension are poised to be released in the future.
It appears that one of these intended smart suspension upgrades are now being rolled out. Initial reports from the electric car community pointed Model S and X owners with update 2020.32.1 acquiring the new suspension improvements. Data from Teslascope, which tracks the electric car maker’s software update rollouts across the globe, shows that the new suspension updates are being rolled out to more vehicles with update 2020.32.2 as well.
Among the most notable improvements introduced by the electric car maker is a real-time visualization of how a vehicle’s suspension is dynamically adjusting while it is in motion. The update also introduced a simplified suspension control logic that allows vehicles to support both temporary and permanent ride heights. These, together with some new automated tweaks, allows the electric car maker to provide a smoother, more comfortable experience for owners of the Model S and Model X.
Following is the full Release Notes for Tesla’s new suspension improvements.
Suspension Improvements
You can now see a real-time visualization of how the suspension system is dynamically adjusting each wheel’s damping to account for changing road conditions. Tap “Show Suspension Data” to get even more real-time information.
Adaptive Suspension Damping now has an ADVANCED setting that allows you to set custom levels of Ride Comfort and Handling in addition to the existing COMFORT, AUTO, and SPORT settings.
We have simplified the Tesla suspension control logic to better support both temporary and more permanent heights. If Ride Height is manually adjusted to High or Very High, your car now automatically lowers after you drive a short distance. For snowy or off-road conditions, tap “Keep” next to the Ride Height slider to keep the height at High or Very High until you reach the maximum allowed speed. For steep driveways or places where you repeatedly need a higher ride height, tap ‘Always Auto-Raise at this Location.’ This feature will raise suspension to the saved height when re-entering the location.
Finally, the suspension system now automatically adjusts between Standard and Low ride heights to optimize ride comfort and range, depending on road type. If you prefer your car to remain lower to the ground, enable “Default Ride Height to Low.”
Tesla’s rollout of smart air suspension updates does not only show the company’s dedication to improving the capabilities of its vehicles like the Model S and Model X. It also provides a hint at the work being performed by the company in terms of improving its suspension systems. Such work would likely bring Tesla closer to refining its more advanced suspension functions, such as the adaptive smart suspension that the company intends to release for the Cybertruck.
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
