Tesla CEO Elon Musk recently provided some insights behind the move of a Tesla engineer to xAI, his artificial intelligence startup. As per Musk, the move was a way to retain the employee since he was being poached by OpenAI, which has reportedly been attempting to recruit Tesla engineers with attractive compensation plans.
Musk’s comments came amidst news that Tesla Staff Machine Learning Scientist Ethan Knight, who was a member of the Autopilot Vision Team, had joined xAI. A report about the matter, published by The Information, adopted the angle of Musk snaring promising engineers from Tesla and moving them to his artificial intelligence startup.
Ethan was going to join OpenAI, so it was either xAI or them.
They have been aggressively recruiting Tesla engineers with massive compensation offers and have unfortunately been successful in a few cases.— Elon Musk (@elonmusk) April 3, 2024
As per Musk in a post on X, however, this was not necessarily the case. The Tesla CEO noted that Knight was about to join OpenAI, so it was a matter of the Tesla engineer either working for the GPT-4 maker or xAI. Musk then mentioned that OpenAI has actually been recruiting Tesla engineers, and they have been quite successful.
“Ethan was going to join OpenAI, so it was either xAI or them. They have been aggressively recruiting Tesla engineers with massive compensation offers and have unfortunately been successful in a few cases,” Musk wrote. Musk also stated in a later post that the war for talented individuals in the artificial intelligence sphere has been extremely fierce. “The talent war for AI is the craziest talent war I’ve ever seen!” Musk noted.
Tesla is increasing comp (contingent on progress milestones) of our AI engineering team— Elon Musk (@elonmusk) April 3, 2024
When asked if Tesla was matching the compensation offers from companies like OpenAI, the CEO noted that the electric vehicle maker is indeed increasing its compensation for its AI engineering team. This, if any, should help Tesla retain its existing talent in its AI team. The company, after all, is attempting to reach extremely ambitious goals in its AI program, such as the rollout of autonomous driving solutions and the development of systems that will be used for humanoid robots.
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Tesla Model Y L’s impressive specs surface in China’s recent MIIT filing
The Tesla Model Y L is expected to launch later this year.

The specs of the upcoming Tesla Model Y L has appeared in new Chinese regulatory filings, revealing key specifications including a six-seat layout and an extended range of up to 751 kilometers. The variant is expected to launch later this year alongside a new long-range Model 3 variant rated at 830 kilometers.
The updates were listed on the China Ministry of Industry and Information Technology’s (MIIT) latest batch of new energy vehicle models that are eligible for vehicle purchase tax exemptions.
Model Y L to debut with larger battery, six-seat layout
Listed under the model code TSL6500BEVBA0, the Model Y L will feature dual motors producing 142 kW at the front and 198 kW at the rear. It will be powered by a 465-kilogram 82.0-kWh lithium-ion battery from LG Energy Solution, with a pack energy density of 176 Wh/kg, as noted in a CNEV Post report. The long-range crossover achieves 751 km on the lenient CLTC cycle, making it Tesla’s highest-range Model Y to date in China despite its curb weight of 2,088 kg.
The “L” designation is believed to refer to the vehicle’s larger size and seating configuration, as the new variant is listed with six seats. It builds on Tesla’s strategy to diversify offerings in the Model Y lineup, which currently includes both RWD and AWD five-seat versions.
Model 3+ breaks record with 830 km CLTC range
Alongside the Model Y L, Tesla China also registered a new rear-wheel-drive Model 3, which was designated with the model code TSL7000BEVBR1. The vehicle boasts either 800 or 830 km of range on the CLTC cycle, depending on its trim. This marks the highest range yet for any Tesla vehicle in China.
The variant will use a 448-kilogram, 78.4-kWh LG-supplied battery with an energy density of 175 Wh/kg and a peak motor output of 225 kW. The vehicle’s curb weight is listed at 1,760 kg. The model was previously identified in filings as “Model 3+,” hinting at a possible tier above the existing long-range variant, which tops out at 753 km CLTC.
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Elon Musk explains why Tesla stepped back from Project Dojo
The update was initially reported by Bloomberg News, which cited people reportedly familiar with the matter.

Elon Musk has confirmed that Tesla is stepping back from its Dojo supercomputer initiative and focusing instead on the company’s in-house AI5 and AI6 chips.
The update was initially reported by Bloomberg News, which cited people reportedly familiar with the matter.
Project Dojo Ends
As per Bloomberg, Peter Bannon, who led Project Dojo, will be departing Tesla following Elon Musk’s decision to shut down the initiative. The publication claimed that Tesla’s Project Dojo team has lost about 20 members recently, and the remaining members of the initiative would be reassigned to other data center and compute projects within Tesla.
Dojo was expected to help Tesla train its Autopilot and Full Self-Driving systems. With this change, Tesla will reportedly be increasing its reliance on external partners for its training hardware. These partners reportedly include Nvidia, AMD, and Samsung, among other companies.
Musk Explains Dojo Shutdown
In a series of posts on X, Elon Musk explained that it doesn’t make much sense for Tesla to divide its resources to scale two different chip designs. And since the company is putting in a lot of effort in its AI5 and AI6 chips–which would be used not for training but in actual products like Optimus and the Cybercab–it was time for Project Dojo to take a bow.
“It doesn’t make sense for Tesla to divide its resources and scale two quite different AI chip designs. The Tesla AI5, AI6 and subsequent chips will be excellent for inference and at least pretty good for training. All effort is focused on that.
“In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude. One could call that Dojo 3, I suppose. The difference in real-world performance between AI4 and AI5 is far more than any chip version I’ve ever heard of by a lot. It’s real good,” Musk wrote in his post.
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Tesla creates clever solution to simplify and improve its Service
Raj Jegannathan, a Vice President of IT/AI-Infra, Apps, Infosec, and Vehicle Service Operations, revealed that Tesla has started a small pilot program at a few service locations to combat this issue.

Tesla has created a clever solution to simplify and improve its Service. Tesla performs most of the services that are needed on its vehicles at its company-owned Service Centers.
However, service has been a weak point of the company, as some regions have fewer Service Centers than others. This can cause long wait times for Tesla owners in some parts of the country.
There are also instances where customers do not agree with what Tesla is saying about their vehicle. In fact, one instance that revealed this new change Tesla is making to its Service was precisely that.
One owner posted on X that his vehicle’s battery seal had failed after a recall was issued. Tesla insurance and Tesla Service both did not assist, and it took CEO Elon Musk stepping in to get the issue resolved:
Will investigate
— Elon Musk (@elonmusk) August 7, 2025
Another owner suggested there should be a more streamlined communications process between the customer and the Service Center, a solution that has been missing.
Raj Jegannathan, a Vice President of IT/AI-Infra, Apps, Infosec, and Vehicle Service Operations, revealed that Tesla has started a small pilot program at a few service locations to combat this issue.
Elon Musk wants Tesla Service to fix two-thirds of cars in the same day
Jegannathan said that Tesla has started to share local and regional leader contact information so customers have the ability to reach out when they have complaints or disagree with warranty claims, changes in estimates, or initial diagnostics.
It is available in a handful of locations already, and Jegannathan said that once abuse guardrails are built, this will expand to all locations:
In few service locations, started to share local and regional leader contact information via service in-take in mobile in-app messages so customers can reach out via phone when they disagree with initial diagnostic/warranty/changes in estimates. (Once we build guardrails from…
— Raj Jegannathan (@r_jegaa) August 7, 2025
This would be a major improvement in the Service portion of Tesla’s business. There are common disagreements between Service and customers, specifically when Service’s suggestions don’t align with the customer’s beliefs.
When it comes to things like a warranty claim, these issues are not really up for interpretation. Instead, the repairs should be made. If there is a misunderstanding on Service’s side, a simple message from the customer could have resolved the issue. That’s basically what happened here.
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