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Tesla 2020.40.0.4: Speed Assist, Glovebox PIN, Priority Bluetooth, and more
Tesla’s new 2020.40.0.4 Software Update has been released to owners, and a variety of new features were added to make life easier for drivers. Speed Assist Improvements join new security functionalities, along with fresh accessibility features to make driving a Tesla safer and more luxurious.
While the electric automaker rolls out updates in a frequent fashion, this new software comes with multiple functionalities that are entirely new to drivers. Other updates could include one or two features that are simply improvements to already existing characteristics. However, 2020.40.0.4 includes multiple features that Tesla has not included in past updates.
Speed Assist Improvements
Tesla vehicles will now use the external cameras on the car to detect speed limit signs. This will help improve the accuracy of speed limit date for highways, but it will also help vehicles travel at appropriate speeds.
In the past, some owners have complained that their vehicles are not recognizing the speed limits in certain regions. California drivers were having relatively non-existent issues with the functionality, but drivers in other parts of the United States were reporting several issues with their cars traveling at the correctly intended speeds.
Tesla poised to roll out speed limit recognition and roundabout support worldwide
CEO Elon Musk responded that the issues were of “high priority,” and that Tesla was addressing them.
It appears that the functionality has been improved and fixed. The release notes state:
“In addition to local roads, Speed Assist now leverages your car’s cameras to detect speed limit signs to improve the accuracy of speed limit data for highways. As usual, to adjust Speed Assist settings, tap Controls > Autopilot > Speed Limit.”
Additionally, drivers with different Infotainment systems will have differing capabilities.
Notes for MCU2 drivers state:
“Speed Assist now leverages your car’s cameras to detect speed limit signs to improve the accuracy of speed limit data on local roads. Detected speed limit signs will be displayed in the driving visualization and used to set the associated Speed Limit Warning. As usual, to adjust Speed Assist settings, tap Controls > Autopilot > Speed Limit.”
MCU1 users will have slightly fewer capabilities, according to their notes, which say:
“Speed Assist now leverages your car’s cameras to detect speed limit signs to improve the accuracy of speed limit data on local roads. As usual, to adjust Speed Assist settings, tap Controls > Autopilot > Speed Limit.”
The functionality is availabel on all four currently released Tesla models and requires HW 3.0 to be used.
Priority Bluetooth Device
Tesla vehicles will now connect to one Bluetooth device that has been defined as the “priority device,” according to the new update. This will stop confusion between two owners whose phones or devices are both synced to the vehicle. One phone will be considered the “priority” device, and will automatically connect. It is available for all four vehicles.
“To avoid connecting to the wrong nearby phone, you can now set your priority Bluetooth device. Your car will attempt to connect to the priority device associated with the profile selected before it attempts to connect to other paired phones. To set your priority device, tap the Bluetooth icon on the top of your touchscreen, select your preferred phone and tap Priority Device.”
Mobile App – Vent Windows
This feature is pretty self-explanatory. It is only available for the Model S, however.
“You can now vent all of your windows from the Tesla mobile app.
Note: this feature requires the Tesla mobile app version 3.10.0 or later.”
Glovebox PIN
A great security addition for owners, the Glovebox will now be locked until a four-digit PIN number is entered. A glovebox is a great place for sensitive information like insurance or vehicle titles. Tesla adding this feature should give owners peace of mind. It is available on all four cars.
“Protect the valuables in your glovebox with a 4-digit PIN. Tap Controls > Safety & Security > Glovebox PIN on the touchscreen to create your PIN.”
Charge Port Inlet Heater
Model 3 and Model Y owners can enjoy a defrosted charge port thanks to an inlet heater that will remove any ice or snow from the inside of the mechanism. It can be turned on through the Tesla mobile app, so owners won’t have to go out into the cold weather to get things cleared up for when they need to charge.
“Your car can now use the charge port inlet heater to help defrost the inside of the charge port. The charge port inlet heater can be activated in cold ambient temperatures by enabling preconditioning using the mobile app, activating the rear defrost button on the vehicle’s touchscreen, or preconditioning the vehicle using scheduled departure.”
Full release notes are available here, thanks to TeslaScope.com.
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.”
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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
