News
Elon Musk’s Taiwan peace proposal praised by Beijing, condemned by Taiwan
Elon Musk may have caught the ire of many by suggesting a controversial way for the Russia-Ukraine War to end, but in a recent interview, the Tesla CEO also shared some of his thoughts on a potential peace plan between China and Taiwan. The plan was met with widely opposite reactions from the Chinese and Taiwanese governments.
Tesla and its China operations play a massive role in the electric vehicle maker’s overall operations, with Gigafactory Shanghai providing about half of the company’s global output last year. In September, Tesla China posted record sales of 83,125 vehicles, up 8% from the previous month and up 48.44% year over year, as per data from the China Passenger Car Association (CPCA).
The Recommendation
During an interview with the Financial Times, Musk was asked about his thoughts on China and the risk to Gigafactory Shanghai amidst the tensions surrounding Beijing and Taiwan. According to the publication, Musk noted that the conflict in Taiwan is inevitable, but his companies would definitely not be the only ones suffering the consequences. Musk then proposed a solution for the conflict.
“My recommendation… would be to figure out a special administrative zone for Taiwan that is reasonably palatable, probably won’t make everyone happy. And it’s possible, and I think probably, in fact, that they could have an arrangement that’s more lenient than Hong Kong,” Musk said.
China’s Praise
Musk’s recommendation won praise in Beijing, with China’s ambassador to the US, Qin Gang, thanking the CEO for his remarks. The ambassador also noted in a tweet that Musk’s proposal was “the best approach to realizing national reunification.”
“I would like to thank Elon Musk for his call for peace across the Taiwan Strait and his idea about establishing a special administrative zone for Taiwan. Actually, Peaceful reunification and One Country, Two Systems are our basic principles for resolving the Taiwan question and the best approach to realizing national reunification.
“Provided that China’s sovereignty, security and development interests are guaranteed, after reunification Taiwan will enjoy a high degree of autonomy as a special administrative region, and a vast space for development.
“The rights and interests of the people in Taiwan will be fully protected, and both sides of the Taiwan Strait will share the glory of national rejuvenation. Peaceful reunification of China is also conducive to peace and development in the Asia-Pacific and the wider world,” the ambassador wrote on Twitter.
Taiwan’s Criticism
Inasmuch as Musk’s comments were appreciated by China, they were widely criticized in Taiwan. So notable were the criticisms of Musk’s suggestions that they actually united Taiwan’s divisive political environment. Taiwan’s de facto ambassador to the US, Hsiao Bi-khim, for one, noted that Taiwan’s “freedom and democracy are not for sale.” “Any lasting proposal for our future must be determined peacefully, free from coercion, and respectful of the democratic wishes of the people of Taiwan,” she said.
Former Taiwan president Ma Ying-jeou also condemned Musk’s proposal. “Elon Musk’s opinion means ‘one country two systems.’ I cannot accept this,” the former president said.
Even opposing candidates from the upcoming Taipei mayoral race were united in rejecting Musk’s ideas. Chen Shih-chung of the ruling Democratic Progressive Party (DPP), stated that the Tesla CEO’s comments were “ill-informed and belittling and could affect our national security.” He also called on Musk to do better.
“Elon Musk has brought about revolutionary change through Tesla and SpaceX, even aiding Ukraine against the Russian dictatorship through Starlink. I’m calling on Elon to hold himself to the same democratic values regarding Taiwan,” he said.
Chiang Wan-an, Chen’s opponent from the Kuomintang party, accused Musk of being “hungry for the Chinese market.” He also argued that Musk is “trading with the devil” due to his business with China.
The Conflict
The tensions between China and Taiwan stem largely from the former’s claims that the latter is a province. Taiwan, on the other hand, has maintained that it is an independent nation. China has hinted that it could annex Taiwan by force so that it could be “unified” with the mainland. However, a growing majority of Taiwanese citizens reject the idea of being unified with China, with some even supporting the idea of outright independence.
Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
