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Tesla Model 3 poised for power liftgate, center console upgrade, new ‘frunk,’ and more
Recent reports from China are suggesting that Tesla may be poised to roll out some notable improvements to the Gigafactory Shanghai-made Model 3. If the speculations prove accurate, Tesla’s most affordable sedan will soon be getting a powered lift gate and trunk, some factory chrome delete, the Model Y’s “Octovalve,” and new headlights and tail lights, to name a few.
Updated: Tesla confirms Model 3 power lift gate as standard option
The reports initially made their rounds in Chinese social media platform Weibo, where they were posted by people reportedly familiar with the matter. As shared on Twitter by Tesla owner-enthusiast @Tesla__Mania, the rumored Model 3 improvements will include a number of Model Y-inspired upgrades and some rather interesting changes that seem to have been hinted at by Elon Musk himself.
Back in July, for example, Elon Musk responded to a request from a China-based Model 3 owner who was requesting for a power liftgate upgrade. The owner in question had lost his ability to use his legs, which made it challenging to use the Model 3’s manual liftgate and trunk. Responding to the story, Elon Musk stated that Tesla would be installing a power liftgate upgrade for the owner’s Model 3 free of charge. These, of course, inspired speculations that the feature will eventually be made standard for the Model 3.
Other features that were mentioned in the rumor, such as the utilization of the Model Y’s “Octovalve” and a new frunk, were also hinted at by owners in the West. Just last month, reports emerged from Model 3 buyers indicating that Tesla has updated the design of the all-electric sedan’s frunk. Considering that the updated design of the Model 3’s frunk was very similar to the Model Y’s, speculations emerged that Tesla may be looking to use some of the all-electric crossover’s most notable features — like its “Octovalve” and heat pump — on its midsized sedan as well.

The same is true for the rumored Made-in-China Model 3 improvements relating to the vehicle’s headlights and tail lights. Tesla did not officially announce any improvements to these components in the Model 3, but reports from owners have indicated that newer vehicles are equipped with brighter and clearer tail lights. As for the factory chrome delete option, such speculations do not seem farfetched at all as the Model Y already ships with no chrome accents.
Perhaps the most interesting parts of the recent rumors from China are the new steering wheel, the “2.0” version of the center console, and a double layer glass for better noise isolation. It appears that these speculated upgrades have not been reported by recent Model 3 owners yet, though they do go in line with Tesla’s tendency to roll out consistent improvements to its vehicles over time. Better noise isolation would definitely be a welcome upgrade for the Model 3, seeing as wind noise tends to get noticeable at high speeds. This is partly due to the lack of an internal combustion engine, which usually muffles or overtakes wind noise in traditional cars.
H/T @Tesla_Mania.
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.