News
Tesla ‘Model 2,’ mobile phone, and Tom Zhu ‘2nd-in-command’ rumors debunked by China exec
Tesla doesn’t have a PR team, and even on the off chance that the company responds to a media outlet, its responses tend to be short and succinct. This came to a head last month when rumors about a production shutdown in Giga Shanghai during December’s last week due to weakening demand were reported by several mainstream news media outlets. In response to the wave of reports, Tesla China simply commented that the reports were “untrue.”
As it turned out, what Tesla China really meant was that the reports were not entirely accurate. Giga Shanghai was indeed pausing its production in the last week of December, but it would be due to maintenance for the plant’s lines, not a demand issue. While one could argue that Tesla China’s response could have been better — and it definitely could have been better — it was already far more of a response than what Tesla typically puts out.
Tesla China Exec Interview
In the United States, Tesla usually doesn’t even issue official responses. Elon Musk posts about Tesla frequently and he clarifies issues on Twitter, but outside of that, there is very little that the company does to respond to rumors or reports. This was why it was quite a welcome development when Tesla VP Grace Tao had an interview with Chinese media. In it, she discussed a number of pertinent topics, such as Tesla’s vehicle pricing strategy in China, as well as some rumors surrounding the company.
Rumors about Tesla are abounding, and among the most notable are arguably the “Model 2,” the vehicle believed to be the cheaper successor to the Model 3 and Model Y; the “Pi Phone,” a mobile phone that’s been spamming a number of YouTube channels for some time now; and the promotion of Tesla China’s Tom Zhu as “second-in-command” in the company. Grace Tao’s response was quick and direct, and she noted that the “rumors are not true.”
Now, if you could see a parallel between the denial that the VP recently gave to Tesla China’s response to last month’s reports of Giga Shanghai’s shutdown, you are not alone. With this in mind — and if one could speculate to a point — then perhaps Tao’s denial could also be read as the rumors not being entirely accurate. Emphasis on the “entirely.”
Model 2, Mobile Phone, and Tom Zhu
Tesla, for one, has been working on a smaller vehicle platform for some time now. Elon Musk has been pretty dismissive of the vehicle for some time, favoring a dedicated, futuristic Robotaxi with no steering wheels instead, but he has shared some details about the upcoming car in the past. Musk has, for example, noted that Tesla’s affordable car would exceed the Model 3 and Model Y’s production output. Its platform would also be roughly the cost of the Model 3 and Model Y’s. It’s undeniable that Tesla is working on an affordable car, so the VP’s recent denial can also simply mean that the “not true” part of the rumor was the speculated name of the EV, “Model 2.”
As for the Tesla “Pi Phone,” Elon Musk has noted in the past that he is not closed to the idea of making a mobile phone if Apple or Google end up blocking Twitter, but that’s about it. Unlike what’s suggested in spam videos on YouTube, the “Tesla Phone” is simply a fun idea, nothing more. Tom Zhu’s promotion has not been confirmed by Tesla, but signs are pointing to the executive taking a larger role in the company. That being said, Zhu’s position does not necessarily have to be “second-in-command” to Elon Musk. His position, if speculations do prove accurate, could simply be created to accurately describe his larger responsibilities in the company.
Tesla VP Grace Tao’s interview with local Chinese media can be viewed here.
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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.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
