“I think generally all input is error,” said Tesla CEO Elon Musk when he explained the Model S Plaid’s Auto Shift feature. Tesla removed the stalks when reinventing the Tesla Model S Plaid’s design. “If you have to do something that the car could have done already, that should be taken care of; the software should just do it,” Musk remarked.
This approach was evident in the Model S Plaid’s Auto Shift feature, which uses software to determine if the vehicle should be in Drive, Park, Neutral, or Reverse. The new Tesla Model S manual goes further into detail about Auto Shift and the vehicle’s gears.
Touchscreen Gear Shift
For drivers who would still prefer shifting gears manually, the new Model S has a gear strip available on the car’s touchscreen under “Controls.” The gear strip will be displayed on the left side of the touchscreen when a driver presses the brake pedal while parked.
- Drive – Swipe up on the gear strip on the touchscreen. Drivers can only shift into “D” when the Model S is stopped or moving less than 5 mph or 8 km/h in Reverse.
- Reverse – Swipe down on the gear strip. Drivers can only shift into “R” when the Model S is stopped or moving less than 5 mph or 8 km/h in Drive. Drivers can manually close the park assist view on the touchscreen by touching the “X” in the upper corner.
- Neutral: To shift into Neutral, drivers should touch the “Controls,” then press and hold the Neutral icon until the Model S engages the “N” gear. When the Model S is traveling over 5 mph or 8 km/h and swipes up or down on the gear strip, a Neutral icon will appear at the top of the gear strip that drivers can engage.
Model S Park
The Park button is only displayed when the brake pedal is pressed. Shifting into Park is allowed when the vehicle’s driving speed is less than 5 mph or 8km/h.
The Model S will automatically shift to Park when it observes signs that drivers are about to exit the vehicle, like when the driver unbuckles his/her seat belt and the car is stopped. Other instances the Model S will shift into Park would be when the driver’s door is open or the vehicle hasn’t moved within one minute of shifting into Drive gear.
Auto Shift Out of Park
Auto Shift Out of Park allows the Model S to shift out of Park on its own, providing more convenience. In the Model S owner’s manual, Tesla notes that Auto Shift out of Park is a BETA feature and is disabled by default.
“When Auto Shift out of Park is enabled, Model S is designed to use inputs from various sensors to automatically select a driving gear when you are ready to drive. The selected gear is displayed on the instrument panel when the driver’s door is closed, and the seatbelt is buckled,” said the manual.
Drivers can override the selected gear by pressing the brake pedal, then use the touchscreen to choose the gear they prefer. Drivers must always press the brake pedal to shift out of Park.
Tesla cautions drivers to follow the instructions on the panel before pressing on the accelerator after confirming their gear selection. The Model S will not shift out of Park if it is still plugged into a charging port.

Model S in Drive Gear
The Model S automatically selects the driving gear when the following conditions are met:
- Auto Shift out of Park is enabled (touch Controls > Pedals & Steering > Auto Shift out of Park).
- The vehicle is in Park.
- The driver’s seat belt is fastened.
- The brake pedal is pressed.
- All doors and trunks are closed.
- The gear selector on the center console is not activated.
Emergency Gear Shift Controls
Drivers can use the gear selector on the center console in the unlikely event that the touchscreen is unavailable and the gear shift is unaccessible. The letters “P,” “R,” “N,” and “D” are displayed in the center console and can be activated when pressed. The frunk, trunk, and doors must be closed to select a gear in the center console.
Tesla notes that the gear selector in the center console activates when the touchscreen is unavailable or the Model S in Valet or Transport Mode. Otherwise, drivers must press the letter buttons to activate the gear selector.
“If you try to shift into a gear that the current driving speed prohibits, the instrument panel displays an alert, a chime sounds, and the gear does not change,” Tesla states in the manual.
As a side note, Tesla stated that drivers could also activate the gear selector by briefly pressing the scroll buttons on the yoke steering wheel simultaneously. Holding the scroll buttons for a longer time would activate the gear selector in the center console and restart the touchscreen as well.
Model S Owners Manual North America en Us by Maria Merano on Scribd
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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.