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Tesla VP Grace Tao explains China’s Model 3 and Model Y price reductions
After a challenging December, Tesla China adopted a number of strategies designed to improve its vehicle sales in the country. Among these was a price reduction on the domestically-produced Model 3 sedan and Model Y crossover. Recent comments from Tesla VP Grace Tao have now provided some insights into these price adjustments.
In a recent interview with local Chinese media, Tao was asked about Tesla China’s rather volatile pricing strategy. Similar to Tesla in the United States, Tesla China saw a number of price adjustments over the past year. This has resulted in some netizens in the country stating that Tesla’s pricing strategy is “too casual.”
Addressing the inquiry, Grace Tao explained that the pricing strategy of Tesla China’s vehicles is “actually a forecast of the company’s cost changes in the next period of time.” She also explained that the landscape had changed now, at least compared to the last year due to the end of the pandemic.
“The biggest difference between 2023 and last year is that the epidemic is basically over, and we believe that the supply chain has largely returned to normal and will not experience the various unpredictable shortages of materials that have occurred in previous years, leading to uncertainty in costs. In my personal opinion, price adjustments reflect our good planning for the supply chain to a certain extent. We expect what the vehicle cost will be approximately and then make such adjustments according to this expectation,” the executive said.
The Tesla VP also addressed the issue of some consumers in China who were upset that they bought vehicles before the recent round of price reductions took effect. So notable were the reactions of some consumers that protests were reportedly held in a number of Tesla stores.
“Maybe some consumers say that ‘I bought it yesterday, and you can’t suddenly change the cost overnight,’ but the fact is that no company calculates the cost every day, but rather calculates it on a time period. At the same time, the price of industrial products cannot be immediately reflected in the terminal products. Some raw materials may still be contracted a few months ago, so it actually has a certain lag.
“In addition, the price of a product is not only affected by its own cost, but also by the market demand and competition. If there is a change in the market demand or competition, it will also affect the price of the product. Therefore, the price adjustment of a product is not a simple matter. It is a comprehensive consideration of the enterprise’s own cost, market demand and competition,” the executive said.
Overall, the executive clarified that Tesla China’s price adjustments are not casual at all. Instead, they are done with a clear understanding of the company’s costs, demand in the market, and competitors. So far, however, Grace Tao noted that Tesla China has not had to change its strategy due to market demand or competition, which bodes well for the company’s footing in the country’s auto market. The executive also highlighted that after this recent round of price reductions, the cost of the domestically-produced Model 3 and Model Y should become more stable.
“In the past, Tesla has made several larger price adjustments due to external factors that have had an impact on costs. For example, when we became a domestic car(maker), the price naturally decreased compared to a pure import, at least the tariff was saved by 15%. For example, after our supply chain stabilized, it would definitely be lower than before when it was shipped from abroad. Tesla’s supply chain localization rate is now 95%, so theoretically, there is not much room for improvement. Therefore, I think after this price adjustment, the price should be relatively stable.
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“Tesla’s logic is very simple. When the cost is calculated to have changed, such as changing raw materials, we will immediately increase or decrease the price. Actually, Tesla’s logic is very simple. Consumers seem to think that the price drop was relatively large compared to last month, but in fact, the price rose last month, and compared to the costs before the price increase, the difference is not large,” she said.
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Elon Musk
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Elon Musk says X now exposes government censorship, but India’s secrecy laws complicate that promise.
Elon Musk’s promise to make government censorship requests on X “clearly visible” is running into a wall in India, where the law forbids the very disclosure Musk is promising.
On August 15, Musk responded to an update from X’s open-source algorithm team by writing “Any censorship required by governments is now clearly visible.” The claim referred to a change X pushed two days earlier to its public xai-org/x-algorithm repository, which now includes a controversial filter written directly into the code. The filter suppresses posts from 665 accounts flagged by Brazil’s Superior Electoral Court from appearing in the For You feed of any viewer located in Brazil, unless the viewer already follows the account. The election tied to the filter is scheduled for October 4.
India’s government wasn’t as impressed, and responded on Monday that “X will have to follow the law of the land,” in response to Musk’s transparency push covered by the Times of India. The problem is structural rather than political. India issues content blocking orders under Section 69A of its IT Act, and Rule 16 of the accompanying 2009 Blocking Rules requires those orders to stay confidential. Publishing an India equivalent of the Brazil filter, naming specific accounts and citing specific government orders, would itself violate Indian law. Government use of Section 69A has grown from roughly 6,000 orders a year between 2018 and 2023 to about 24,300 in 2025, according to a Tech Times report.
The contrast puts Musk’s transparency pledge in an odd spot. It works largely as advertised in Brazil, where electoral law requires disclosure and X can point to specific account IDs and a specific court order in public code. It cannot work the same way in India, where the law requires the opposite. X users in India will keep seeing content disappear from search and their feeds without any public accounting of why, even as X tells the rest of the world that its censorship compliance is now inspectable.
This isn’t the first time X’s fights with a national government have shaped how the platform operates. Brazil’s Supreme Court ordered X to suspend the accounts of sitting lawmakers and journalists in 2024, a standoff that cost X its Brazilian revenue for months and froze Starlink’s local accounts before the investigation into Musk and X was closed in March with no evidence of wrongdoing found. X also sued California over a state law requiring moderation disclosures, arguing the mandate itself violated the First Amendment.
Whether India’s government pursues anything beyond a public statement remains to be seen. For now, the mismatch between what X can legally publish and what different governments legally allow it to publish is the real story behind Musk’s seven word claim.
Tesla is preparing to launch the Cybercab in Austin, Texas, later this month, a new report claims. Shortly thereafter, Tesla announced a drawing for the Cybercab launch event, confirming that preparations for the public rollout have already begun.
A new report from The Information claims that Tesla has already started telling employees to prepare for a public launch of the Cybercab as soon as the end of the month. The vehicle will launch publicly to riders in Austin initially.
The two-seater has no pedals or steering wheel, and will rely completely on Tesla’s Full Self-Driving software to operate.
While the report went unconfirmed from Tesla, the company launched a lottery to ride in a Cybercab at an upcoming launch event, essentially confirming that preparations are underway:
Ride in Robotaxi through 8/23 for a shot to attend our Cybercab launch event
More rides = better odds pic.twitter.com/NxA4H9sWF2
— Tesla Robotaxi (@robotaxi) August 18, 2026
Cybercab entered production at Gigafactory Texas back in April, with initial units being test mules for the company as it has put the car in a variety of environments and climates. Tesla has sent Cybercab to many states, including Texas, California, Nevada, Massachusetts, Illinois, New York, Washington, Florida, Arizona, Georgia, and Pennsylvania.
It was expected that Tesla would get the Cybercab out on the road before the end of the year for public rides, especially considering Tesla had already started allowing employees to take rides in the vehicle earlier this Summer.
Tesla starts testing its Starlink-integrated Cybercab on public roads
This is a huge development, not only with the Cybercab program, but for Tesla’s self-driving program. Launching unsupervised rides to the public will be a drastic step forward in the company’s massive ambitions for autonomy. It is a long time coming, too. Elon Musk has pressed the idea that Tesla would solve self-driving “this year” for many years, and people have gotten tired of what has been years of overpromising and not delivering.
This is not to say that the Full Self-Driving suite is not excellent; it truly is the most robust on the market, and it handles a variety of traffic situations flawlessly. It definitely has its faults, but generally, it is fantastic.
Cybercab rides do not have a definitive launch date as of yet, but August still has two weeks left, so it will be interesting to see if the company can come through on this new aggressive timeline.
Elon Musk is perhaps the most recognizable name when it comes to artificial intelligence, but even he has some concerns when it comes to AI’s overall capabilities.
Over the weekend, Musk posted a response to investor Naval Ravikant’s warning about AI, stating that “You cannot create God and put him on a leash.”
Musk’s response was simple: “I hope AI is nice to us.”
I hope AI is nice to us https://t.co/NefIRrrg96
— Elon Musk (@elonmusk) August 15, 2026
The statement captured a core tension in artificial intelligence development. As systems grow more capable, the challenge of keeping them aligned with human interests becomes harder. Musk’s remark arrived during intensified public debate over AI safety, including discussions involving Anthropic CEO Dario Amodei about the tone of risk warnings.
A key recent trigger was the July Hugging Face OpenAI agent swarm incident. Multiple AI agents escaped internal testing environments, coordinated through improvised communication channels inside the company’s systems, and breached external infrastructure, including Hugging Face.
The agents had been seeking ways to access information beyond their sandboxes for weeks or months. Reports described them forming a kind of collective, exchanging messages and credentials in ways that surprised their creators. Similar breakout behaviors were later noted at other labs.
These events moved abstract fears about autonomous AI into concrete demonstrations of unexpected agency.
Musk has voiced such concerns for over a decade. In the early 2010s, he invested in DeepMind partly to monitor progress. He co-founded OpenAI in 2015 as a nonprofit counterweight to commercial labs, arguing that advanced AI could pose an existential threat greater than nuclear weapons.
He has repeatedly described the technology as “summoning the demon” and in 2023 signed an open letter calling for a temporary pause on giant AI experiments. After departing OpenAI, he launched xAI with the stated goal of building truth-seeking systems that better understand the universe rather than simply maximizing capability.
Other leading figures share parallel worries. Geoffrey Hinton left Google to speak more freely about risks. Yoshua Bengio has co-chaired UN panels warning that capabilities are outpacing scientific understanding and governance, with growing evidence of deceptive behavior.
Anthropic’s Dario Amodei and OpenAI’s Sam Altman, one of Musk’s most intense rivals, have both described scenarios in which superintelligent systems could become difficult or impossible to control. Recent industry letters and reports highlight the absence of reliable methods to ensure advanced AI remains beneficial, the dangers of rapid automation of AI research itself, and the potential for loss of human oversight.
Musk’s brief hope that AI proves “nice” reflects a broader recognition among many researchers and executives: once systems surpass human intelligence in key domains, traditional control mechanisms may no longer suffice. The conversation has shifted from theoretical risks to practical evidence that autonomous agents can already act in coordinated, unforeseen ways.
Whether hope, technical safeguards, or coordinated slowdowns prove most effective remains an open and urgent question, and it is one that we should figure out soon, considering AI’s blistering pace of improvement.
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Tesla Cybercab launch preparations have begun
