Back when the Model 3 was unveiled, Tesla immediately attracted a good amount of criticism over the vehicle’s design. Arguments against the all-electric sedan were many, with arguments being presented against its utilization of a single 15” center display and its hyper-minimalistic interior. The vehicle’s glovebox, which could only be opened through the touchscreen, also attracted its own fair share of eyebrows.
‘Crazy’ and ‘Impractical’ Ideas
To a good number of car enthusiasts, the idea of a glovebox that can’t even be opened manually was insane. Practically all vehicles in the market, from affordable econoboxes from Japan to luxury cars from Germany employ a manual latch for the glovebox, after all. It was something that was so simple, so traditional, and here Tesla was stubbornly refusing to follow along.
It would be pretty easy to put a manual latch on the glovebox, so Tesla’s insistence on an electronically-operated mechanism seemed almost like hubris on the EV maker’s part. Tesla did roll out changes to the Model 3’s glovebox, such as a feature that automatically opens the storage area in the event of a crash. This was rolled out following an incident where a Model 3 was involved in an accident that shattered the 15” display, giving the driver a very difficult time accessing the vehicle’s title and insurance papers.
Over the years, Tesla has added numerous features to the Model 3. These include Sentry Mode, which actively monitors a vehicle’s surroundings, and TeslaCam, which acts as a built-in dashcam for the all-electric sedan on the road. The videos were saved on a flash drive that drivers would need to insert into the front USB port of the Model 3. The feature is incredibly useful, though it requires some work on the part of Tesla’s customers. This was perhaps the reason why the use of features like Sentry Mode and TeslCam are not universally used by drivers. This may change soon with the introduction of the 2021 Model 3.
Pieces of a Puzzle
For the Model 3 “refresh,” Tesla introduced a number of key updates, from a new center console and new Aero Wheels to new headlights. Minor updates were also introduced, such as a USB port inside the glovebox. A video from Hong Kong featuring a 2021 Model 3 further revealed that the USB port inside the glovebox already has a 64 GB flash disk in it. This incredibly minor change, which almost feels like an afterthought considering the Model 3’s major updates, makes features like Sentry Mode and TeslaCam much easier to use.
This makes the Model 3 more secure as well, as even thieves that are familiar with Teslas will no longer have any way to access the flash drive that contains the vehicle’s video recordings. Prior to the “refresh,” thieves could simply rip out the flash drive that holds Sentry Mode’s recordings, which is quite unlikely but still plausible. This will no longer be true with the 2021 Model 3, especially as Tesla has already added an extra layer of security in the form of “Glovebox PIN,” which was previously released through an over-the-air software update.
What is quite remarkable is that these improvements would not work as well as they do now if Tesla had included a manual latch for the Model 3’s glovebox. It was difficult to see the point behind Tesla’s stubborn refusal to include something as simple as a physical glovebox latch during the vehicle’s initial launch and release, but it appears that the feature, or lack thereof, was something that would be useful years into the vehicle’s release.
The Long Game
This is something that has become much of a theme in the Tesla story. The company or its CEO does something, and critics pounce on the opportunity to squeeze in a few shots. Products are rolled out and improved through over-the-air updates, and before the dust settles, Tesla and Elon Musk’s once-controversial strategies end up making sense. This was the case with the Model 3’s glovebox, and it would likely be true for other controversial aspects of Tesla’s vehicles as well, such as the Cybertruck’s design and novel features.
Ultimately, this tendency could very well be explained by the fact that Tesla simply looks farther ahead than any of its critics. Tesla skeptics may focus on what the company is doing now, or the state of its products today, but Elon Musk and his team are always looking into the future. This may very well be the reason why even Wall Street analysts seem to have a difficulty understanding Tesla’s business. Just recently, for example, Morgan Stanley upgraded TSLA stock to an “Overweight” rating. According to the financial firm, this is due to Tesla’s business expanding from carmaking to other segments such as software. This is something that longtime TSLA bulls have been highlighting for years.
What is rather interesting is that Tesla may continue to confound skeptics for years to come. Just like the Model 3’s glovebox, the company is still rolling out strategies and products that don’t make sense for skeptics, such as the FSD beta and features like Smart Summon. A look at Autopilot’s subpar scores in tests from organizations such as Consumer Reports highlight this point. Yet just like the humble Model 3 glovebox, perhaps features like Summon could serve a higher purpose years down the road.
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
