News
Jeff Bezos ponders Tesla’s ‘complexity’ in China following Musk’s Twitter acquisition
Following Elon Musk’s acquisition of social media platform Twitter yesterday, Amazon founder and former CEO Jeff Bezos pondered the potential hoops Tesla, Musk’s automotive company, may have to jump through as a company operating in China. Due to Musk’s purchase of Twitter, Bezos questioned whether China gained “a bit of leverage” over the platform’s censorship, but backtracked.
A Tweet from New York Times reporter Mike Forsythe identified Tesla’s success in the Chinese market. After entering China as an automaker in early 2020, Tesla has experienced success in the market with its Model 3 and Model Y vehicles, which have routinely been identified as a couple of the best-selling EVs in the country. Tesla’s production facility in China, known as Gigafactory Shanghai, outpaced Tesla’s U.S. factory in Fremont, California, in production figures in 2021, accounting for 51.7 percent of the company’s total vehicle deliveries for the year.
Apropos of something:
-Tesla’s second-biggest market in 2021 was China (after the US)
-Chinese battery makers are major suppliers for Tesla’s EVs.
-After 2009, when China banned Twitter, the government there had almost no leverage over the platform
-That may have just changed— Mike Forsythe 傅才德 (@PekingMike) April 25, 2022
Forsythe recognizes this, along with Chinese battery suppliers and their links to Tesla. However, his Tweet begins to also call out China’s ban of Twitter in 2009, and how the government had “almost no leverage over the platform.” With Musk’s purchase yesterday, “That may have just changed,” the Tweet concludes.
Bezos responded and jostled with the question, “Did the Chinese government just gain a bit of leverage over the town square,” using the term as Musk has in the past to compare Twitter to a social gathering of people to discuss ideas and issues. “My own answer to this question is probably not. The more likely outcome in this regard is complexity in China of Tesla, rather than censorship at Twitter.”
My own answer to this question is probably not. The more likely outcome in this regard is complexity in China for Tesla, rather than censorship at Twitter.
— Jeff Bezos (@JeffBezos) April 26, 2022
Musk, who purchased Twitter for $44 billion yesterday, said in the past his reasons for buying Twitter are related to free speech and censorship, is unlikely to see any real changes from China just because he’s bought the platform. Many American social media outlets are unavailable in China because, as the government has described in the past, it is a way to avoid “risks in the ideological field from the Internet.”
The true challenges will occur in China for Tesla; at least, Bezos thinks so. However, the automaker has had a reasonably positive relationship with China and its government, especially as Tesla has expanded operations at its plant, providing thousands of jobs to local workers.
Bezos, whose former company Amazon has done business in China for many years, purchased the Washington Post in 2013. The newspaper had no reservations about challenging Musk’s fight against censorship with stories earlier this month. Musk called the headline, “a good laugh.”
Ouch, I just snorted coffee out of my nose. pic.twitter.com/bDCYhMhdag
— Marc Andreessen (@pmarca) April 5, 2022
Additionally, a report from Dauxe Consulting reported that some 38 percent of Amazon’s top-selling brands were based in China.
Tesla has performed extremely well in China with sales, but it has also had its issues. The company had its vehicles banned from government properties and military bases due to its use of external cameras equipped for Full Self-Driving and Sentry Mode. Tesla’s in-cabin cameras are not active in China.
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Elon Musk
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla confirmed HW3 vehicles cannot run unsupervised FSD, replacing its free upgrade promise with a discounted trade-in.
Tesla has officially confirmed that early vehicles with its Autopilot Hardware 3 (HW3) will not be capable of unsupervised Full Self-Driving, while extending a path forward for legacy owners through a discounted trade-in program. The announcement came by way of Elon Musk in today’s Tesla Q1 2026 earnings call.
🚨 Our LIVE updates on the Tesla Earnings Call will take place here in a thread 🧵
Follow along below: pic.twitter.com/hzJeBitzJU
— TESLARATI (@Teslarati) April 22, 2026
The history here matters. HW3 launched in April 2019, and Tesla sold Full Self-Driving packages to owners on the understanding that the hardware was sufficient for full autonomy. Some owners paid between $8,000 and $15,000 for FSD during that period. For years, as FSD’s AI models grew more demanding, HW3 vehicles fell progressively further behind, eventually landing on FSD v12.6 in January 2025 while AI4 vehicles moved to v13 and then v14. When Musk acknowledged in January 2025 that HW3 simply could not reach unsupervised operation, and alluded to a difficult hardware retrofit.
The near-term offering is more concrete. Tesla’s head of Autopilot Ashok Elluswamy confirmed on today’s call that a V14-lite will be coming to HW3 vehicles in late June, bringing all the V14 features currently running on AI4 hardware. That is a meaningful software update for owners who have been frozen at v12.6 for over a year, and it represents genuine effort to keep older hardware relevant. Unsupervised FSD for vehicles is now targeted for Q4 2026 at the earliest, with Musk describing it as a gradual, geography-limited rollout.
For HW3 owners, the over-the-air V14-lite update is welcomed, and the discounted trade-in path at least acknowledges an old obligation. What happens next with the trade-in pricing will define how this chapter ultimately gets written. If Tesla prices the hardware path fairly, acknowledges what early adopters are owed, and delivers V14-lite on the June timeline it committed to today, it has a real opportunity to convert one of the longest-running sore subjects among early adopters into a loyalty story.
Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Credit: TESLA
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
- Revenues – $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow – $1.444 billion
- Profit – $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
