News
[Updated – Corrected] Tesla China denies rumored “Tesla” venture in Jinan, China
Correction:
A spokesperson from Tesla China has issued a statement about the reported joint venture. According to the Tesla China spokesperson, the venture “has nothing to do” with the Texas-based electric vehicle maker. Data from Chinese corporate registry Qichacha also showed that the “Tesla” in the filings was listed as “Tesla Motors Limited,” which is based in the UK.
Context:
This story was initially sourced from data posted in Qichacha (QCC), a data and analytics company focused on China-based private and public companies. It’s a go-to service for company registration info in the country. Notable Chinese broadsheets such as Beijing Daily, the official newspaper of the Beijing municipal committee of the Chinese Communist Party (CCP), reported on the topic. Sina News, another news site that covered the story, also noted that the joint venture echoed a similar company established by BYD, which is also based in Jinan. The venture was also connected to the Jinan Licheng Financial Holding Group and the Jinan Licheng District Finance Bureau, both of which are close to the state.
Following is a tweet Teslarati posted when the legitimacy of this story was challenged.
We have pulled an article regarding Tesla and Annex Semiconductors being involved in a possible joint venture. We are attempting to verify the source of this article currently and will update you when we have more details. Thank you for your patience and we apologize.— TESLARATI (@Teslarati) November 28, 2022
**Original article is below.**
Tesla has plans to ramp its electric vehicle production by a notable degree in the coming years, and with the company’s constant innovations, it would need to secure a lot of resources, from battery raw materials to computer chips.
In this light, reports have emerged suggesting that Tesla has established a semiconductor joint venture in Jinan of eastern China’s Shandong Province. The joint venture is intended to supply automotive chip and electronics solutions. Tesla partnered with Swiss automotive semiconductor company Annex for the joint venture, which boasts a registered capital of $150 million.
As per a report from Chinese tech publication ijiwei, Tesla holds a 5% equity in the company for now, while Annex holds a 55% stake, and the Jinan Zurich Annex Equity Investment Fund Partnership holds a 40% stake. It should be noted that the Jinan Zurich fund acquired Annex this past June in a $5 billion deal, according to local reports.
Tesla has a formidable partner in Annex, as the Swiss company is among the global leaders in automotive system-on-chip (SoC), microcontroller (MCU), and processor, image sensor, and power device products. This likely provides the joint venture with the necessary technical know-how and experience to develop optimal semiconductors for the electric vehicle maker and its products.
If the recent reports from China prove accurate, it would appear that Tesla is making a serious play for the semiconductor market. Just recently, for example, reports have suggested that Taiwan Semiconductor Manufacturing Company Limited (TSMC) would be Tesla’s supplier of choice for its next-generation FSD computer, which would reportedly be manufactured at 4 nm and 5 nm processes.
Tesla’s chip order from TSMC is reportedly substantial, so much so that it would effectively make the American electric vehicle maker one of the chipmaker’s top seven customers next year. These reports present a pretty exciting picture for Tesla next year, as the Cybertruck, the first vehicle in the company’s lineup confirmed to have a next-generation computer, would also be entering production in 2023.
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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
