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Who’s Coming, Who’s Going at Tesla Motors
Tesla has had two senior employees depart recently, but has acquired the services of Felix Godard, designer to the upcoming Porsche Mission E sports car.
Working at Tesla could be a dream job. It is one of the most high profile and innovative companies in both the tech and automotive worlds, but with that also comes high stresses.
Elon Musk is known to demand a lot of his people. Some get burned out after a while. Others just want a fresh set of challenges. One of those is Riccardo Biasini. He joined Tesla in 2011 and worked his way up in the company to the senior system engineer leading the company’s vehicle propulsion team.
SpaceX and Tesla rated most meaningful work in high tech. Also, most stressful, but that goes with the territory. https://t.co/y8s4UdMF5z
— Elon Musk (@elonmusk) March 6, 2016
Biasani has just announced he is leaving the company to head up the AI unit at George Hotz’s start-up, Comma.ai. Hotz says his company will soon offer aftermarket systems that bring lane keeping and automatic braking to new cars. He promises his system will outperform any others on the market — including Tesla’s Autopilot.
According to Forbes, Hotz is using an Acura ILX as his test vehicle. It is equipped with 6 cameras, Lidar, and radar. A computer with a Nividia graphics card resides in the trunk and coordinates the inputs from all devices using machine learning algorithms that Hotz developed.
Also leaving Tesla is James Chen, vice president of regulatory affairs and deputy general counsel. Most recently, Chen spearheaded the operation that defeated the General Motors sponsored legislation in Indiana that would have eliminated the company’s ability to sell cars directly to customers in that state. Chen has not revealed what company he is going to next.
On the plus side, Tesla has hired Félix Godard, the designer for the interior of the futuristic Porsche Mission E electric sports car. Godard will play an important role in designing the interior of the Model 3. At is reveal, the Model 3 featured on a minimalistic dashboard unlike any seen on a production prototype before.
Tesla has confirmed that dashboard is what will be in the Model 3 when it rolls off the assembly line. When Porsche revealed a prototype of the Mission E, it had this to say in a press release. “Instruments are intuitively operated by eye tracking and gesture control, some even via holograms — highly oriented toward the driver by automatically adjusting the displays to the driver’s position.”
Elon Musk has hinted that Phase 2 of the Model 3 reveal — scheduled to take place closer to the date when production begins — will be more astounding than Phase 1. The Porsche Mission E concept may offer an important clue as to what Tesla has in mind for the final production version of its car. A full head’s up display spread across the entire windshield? Holograms? Imagine a $35,000 sedan that has the same technology as the most advanced Porsche in history.
Anytime someone leaves Tesla, there are stories about poaching and outrageous signing bonuses. The process works both ways, with the company attracting talent from other companies and some of its employees finding the grass is greener elsewhere. Tesla probably won’t miss a beat from the departure of Ricardo Biasini or James Chen. But the arrival of Félix Godard suggests exciting times ahead for Tesla.
Source: BGR, Forbes
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.”
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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
