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Tesla’s newest Autopilot Vision head: Who is Andrej Karpathy?
The EV world was rocked when it was announced that Tesla replaced its Vice President of Autopilot Software, Chris Lattner, with Andrej Karpathy. Karpathy is the company’s new Director of AI and Autopilot Vision, but who he is?
Karpathy most recently worked as a research scientist with Elon Musk’s OpenAI, specializing in deep neural networks.
He also had three summer stints at Google. In 2011 and 2013, Karpathy interned for the tech behemoth working on large scale deep learning and video content analysis. In 2015, he was with Google DeepMind, focusing on deep reinforcement learning.
In 2009, Karpathy graduated from University of Toronto with a Bachelor’s of Science in computer science and in physics. From there, he went to the University of British Columbia and got Master’s Degree in computer science and researched motor control, primarily learning controllers for physically simulated figures.
After finishing graduate school in 2011, Karpathy went to Stanford University to pursue a Ph.D in computer science. He researched machine learning, with an emphasis on deep learning for computer vision and natural language processing. He worked under adviser Fei-Fei Li, the director of Stanford’s AI lab and chief director of Google Cloud. According to his Stanford profile, Karpathy graduated in 2015 before jumping to Google DeepMind and eventually OpenAI.
Karpathy has been published in scholarly journals and for conferences, including the International Conference on Learning Representations. He also published a couple of blogs to keep his followers posted on research development and a lighter one on topics such as a survival guide to a Ph.D.
In February of this year he joined the steering committee of distill.pub, a journal focusing on machine learning research.
Karpathy will report directly to Musk, and work closely with chip expert and Vice President of Autopilot Hardware Jim Keller on advancing Tesla’s self-driving technology.
Tesla released the following statement regarding the hiring of Karpathy:
Andrej Karpathy, one of the world’s leading experts in computer vision and deep learning, is joining Tesla as Director of AI and Autopilot Vision, reporting directly to Elon Musk. Andrej has worked to give computers vision through his work on ImageNet, as well as imagination through the development of generative models, and the ability to navigate the internet with reinforcement learning. He was most recently a Research Scientist at OpenAI.
Andrej completed his computer vision PhD at Stanford University, where he demonstrated the ability to derive complex descriptions of images using a deep neural net. For example, identifying not simply that there is a cat in a given picture, but that it is an orange, spotted cat, riding on a skateboard with red wheels on brown hardwood flooring (http://cs.stanford.edu/people/karpathy/main.pdf). He also created and taught “Convolutional Neural Networks for Visual Recognition,” the first and still leading deep learning course at Stanford.
Andrej will work closely with Jim Keller, who now has overall responsibility for Autopilot hardware and software.
To see Karpathy in action discussing deep learning, check him out here:
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Tesla exec: Preparations underway but no firm timeline yet for FSD rollout in China
The information was related by Tesla China Vice President Grace Tao in a comment to local media.
Tesla has not set a specific launch date for Full Self-Driving in China, despite the company’s ongoing preparations for a local FSD rollout.
The information was related by Tesla China Vice President Grace Tao in a comment to local media.
Tesla China prepares FSD infrastructure
Speaking in a recent media interview, the executive confirmed that Tesla has established a local training center in China to support the full adaptation of FSD to domestic driving conditions, as noted in a report from Sina News. However, she also noted that the company does not have a specific date when FSD will officially roll out in China.
“We have set up a local training center in China specifically to handle this adaptation,” Tao said. “Once officially released, it will demonstrate a level of performance that is no less than, and may even surpass, that of local drivers.”
Tao also emphasized the rapid accumulation of data by Tesla’s FSD system, with the executive highlighting that Full Self-Driving has now accumulated more than 7.5 billion miles of real-world driving data worldwide.
Possible 2026 rollout
The Tesla executive’s comments come amidst Elon Musk’s previous comments suggesting that regulatory approval in China could arrive sometime this 2026. During Tesla’s annual shareholder meeting in November 2025, Musk clarified that FSD had only received “partial approval” in China, though full authorization could potentially arrive around February or March 2026.
Musk reiterated that timeline at the World Economic Forum in Davos, when he stated that FSD approval in China could come as early as February.
Tesla’s latest FSD software, version 14, is already being tested in more advanced deployments in the United States. The company has also started the rollout of its fully unsupervised Robotaxis in Austin, Texas, which no longer feature safety monitors.
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Tesla Semi lines up for $165M in California incentives ahead of mass production
The update was initially reported by The Los Angeles Times.
Tesla is reportedly positioned to receive roughly $165 million in California clean-truck incentives for its Semi.
The update was initially reported by The Los Angeles Times.
As per the Times, the Tesla Semi’s funding will come from California’s Hybrid and Zero-Emission Truck and Bus Incentive Project (HVIP), which was designed to accelerate the adoption of cleaner medium- and heavy-duty vehicles. Since its launch in 2009, the HVIP has distributed more than $1.6 billion to support zero-emission trucks and buses across the state.
In recent funding rounds, nearly 1,000 HVIP vouchers were provisionally reserved for the Tesla Semi, giving Tesla a far larger share of available funding than any other automaker. An analysis by the Times found that even after revisions to public data, Tesla still accounts for about $165 million in incentives. The next-largest recipient, Canadian bus manufacturer New Flyer, received roughly $68 million.
This is quite unsurprising, however, considering that the Tesla Semi does not have a lot of competition in the zero-emissions trucking segment.
To qualify for HVIP funding, vehicles must be approved by the California Air Resources Board and listed in the program catalog, as noted in an electrive report. When the Tesla Semi voucher applications were submitted, public certification records only showed eligibility for the 2024 model year, with later model years not yet listed.
State officials have stated that certification details often involve confidential business information and that funding will only be paid once vehicles are fully approved and delivered. Still, the first-come, first-served nature of HVIP means large voucher reservations can effectively crowd out competing electric trucks. Incentive amounts for the Semi reportedly ranged from about $84,000 to as much as $351,000 per vehicle after data adjustments.
Unveiled in 2017, the Tesla Semi has seen limited deliveries so far, though CEO Elon Musk has recently reiterated that the Class 8 all-electric truck will enter mass production this year.
Elon Musk
Tesla reveals major info about the Semi as it heads toward ‘mass production’
Some information, like trim levels and their specs were not revealed by Tesla, but now that the Semi is headed toward mass production this year, the company finally revealed those specifics.
Tesla has revealed some major information about the all-electric Semi as it heads toward “mass production,” according to CEO Elon Musk.
The Semi has been working toward a wider production phase after several years of development, pilot programs, and the construction of a dedicated production facility that is specifically catered to the manufacturing of the vehicle.
However, some information, like trim levels and their specs were not revealed by Tesla, but now that the Semi is headed toward mass production this year, the company finally revealed those specifics.
Tesla Semi undergoes major redesign as dedicated factory preps for deliveries
Tesla plans to build a Standard Range and Long Range Trim level of the Semi, and while the range is noted in the company’s newly-released spec list, there is no indication of what battery size will be equipped by them. However, there is a notable weight difference between the two of roughly 3,000 lbs, and the Long Range configuration has a lightning-fast peak charging speed of 1.2 MW.
This information is not available for the Standard Range quite yet.
The spec list is as follows:
- Standard Range:
- 325 miles of range (at 82,000 lbs gross combination weight
- Curb Weight: <20,000
- Energy Consumption: 1.7 kWh per mile
- Powertrain: 3 independent motors on rear axles
- Charging: Up to 60% of range in 30 minutes
- Charge Type: MCS 3.2
- Drive Power: Up to 800 kW
- ePTO (Electric Power Take Off): Up to 25 kW
- Long Range:
- Range: 500 miles (at 82,000 lbs gross combination weight)
- Curb Weight: 23,000 lbs
- Energy Consumption: 1.7 kWh per mile
- Powertrain: 3 independent motors on rear axles
- Charging: Up to 60% of range in 30 minutes
- Charge Type: MCS 3.2
- Peak charging speed: 1.2MW (1,200kW)
- Drive Power: Up to 800 kW
- ePTO (Electric Power Take Off): Up to 25 kW
It is important to keep in mind that the Semi is currently spec’d for local runs, and Tesla has not yet released or developed a sleeper cabin that would be more suitable for longer trips, cross-country hauls, and overnight travel.
Tesla Semi sleeper section and large side storage teased in new video
Instead, the vehicle will be initially used for regional deliveries, as it has in the pilot programs for Pepsi Co. and Frito-Lay for the past several years.
It will enter mass production this year, Musk confirmed on X over the weekend.
Now that the company’s dedicated Semi production facility in Sparks, Nevada, is standing, the timeline seems much more realistic as the vehicle has had its mass manufacturing date adjusted on several occasions.