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Tesla Giga Canada makes sense: Canadian Minister emphasizes auto industry’s new “supplier of choice” [Opinion]
Tesla Giga Canada is starting to make more sense. At the 2022 Shareholders Round-Up, Elon Musk announced that Tesla might share the location of its next gigafactory by the end of the year. Musk teased that Canada could be a potential location.
Just last week, Canada’s Minister of Innovation, Science, and Industry François-Philippe Champagne visited Tesla’s Markham facility to talk to Tesla. Champagne’s visit suggested that Tesla Giga Canada has some potential to reach fruition.
There are two main reasons Canada would be a good location for Tesla’s next gigafactory. CDN seems to be hyper-focused on developing its green supply chain and catering to the auto industry. Also, the recently signed Inflation Reduction Act encourages automakers—legacy and startup alike—to secure supply chains in North America.
Canada becoming EV “supplier of choice”
Recently, Volkswagen and Mercedes Benz signed separate agreements with Canada for battery EV materials.
Volkswagen’s deal with Canada involves sustainable battery manufacturing, cathode active material production, critical mineral supply, and others. It also includes a Canadian office for VW’s PowerCo, its battery company. Through PowerCo, Volkswagen plans to develop and research EV batteries and ramp in-house cell production and recycling.
Canada’s agreement with Mercedes Benz seems more open-ended. However, it will focus on enhancing collaborations between the legacy OEM and Canadians companies along EV and battery supply chains.
Minister Champagne explained that talks between Canada and the two legacy automakers started in May when he visited Germany.
“Canada is quickly becoming the green supplier of choice for major auto companies, including leading European manufacturers, as we transition to a cleaner, greener future. By partnering with Volkswagen and Mercedes, Canada is strengthening its leadership role as a world-class automotive innovation ecosystem for clean transportation solutions. Canada is committed to building a strong and reliable automotive and battery supply chain here in North America to help the world meet global climate goals,” said Champagne.
The 2022 Inflation Reduction Act
VW and Mercedes Benz signed deals with Canada a week after President Joe Biden signed the Inflation Reduction Act, and it doesn’t seem to be a coincidence.
The Inflation Reduction Act takes effect in December 2022, but EV automakers and suppliers have already started preparing for it. For instance, South Korean battery suppliers have also started preparing to move production to the United States. The law introduces a new system of EV tax credits with a specific set of requirements. It includes a battery requirement that would affect automakers and suppliers directly.
Under the Inflation Reduction Act, 40% of materials used in batteries should be sourced from North America or a U.S. trading partner by 2024. By 2029, 100% of materials used in batteries should come from North America or U.S. trading partners; otherwise, the vehicles will not qualify for EV tax credits.
The law would affect automakers like Volkswagen. VW, for instance, aims to break into the U.S. pickup truck market with an all-electric Scout vehicle. EV tax credits would help VW’s EV Scout sales in the future.
What about Tesla?
The U.S. Department of Energy’s Alternative Fuels Data (DOE) published a list of electric vehicles eligible for the new EV tax credit of $7,500. According to DOE’s list, Tesla’s entire S3XY line will qualify for the tax credits starting January 1, 2023.
Tesla hasn’t qualified for EV tax credits for quite some time since it already hit the 200,000 cap in the old system. The strong demand for Tesla cars suggests that the lack of subsidies isn’t really hurting the company. But, EV tax credits would help the company’s primary goal: accelerating the advent of sustainability.
Tesla has become a leader in the global EV space and market. It has shown legacy automakers that electric vehicles are the future. To keep traditional OEMs motivated, Tesla needs to keep pushing forward. Complying with the Inflation Reduction Act would be a good way of keeping legacy OEMs on their toes.
Tesla’s aims to produce 20 million vehicles annually by 2030. Elon Musk explained that Tesla would need about a dozen gigafactories to make 2 million vehicles per year and achieve its 20M goal.
Currently, Tesla has Giga Texas, Giga Berlin, Giga Shanghai, and the Fremont Factory producing cars. It would make sense for Tesla to choose Canada as the next location of its newest gigafactory given the Inflation Reduction Act’s requirements. By choosing Canada, Tesla could produce more cars and qualify for the EV tax credits in the United States–hitting two birds with one stone.
The Teslarati team would appreciate hearing from you. If you have any tips, contact me at maria@teslarati.com or via Twitter @Writer_01001101.
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NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.
NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”
Jim Fan’s hands-on FSD v14 impressions
Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14.
“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X.
Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”
The Physical Turing Test
The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning.
This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.
Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.
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Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.
New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.
Elon Musk
Elon Musk’s Grok records lowest hallucination rate in AI reliability study
Grok achieved an 8% hallucination rate, 4.5 customer rating, 3.5 consistency, and 0.07% downtime, resulting in an overall risk score of just 6.
A December 2025 study by casino games aggregator Relum has identified Elon Musk’s Grok as one of the most reliable AI chatbots for workplace use, boasting the lowest hallucination rate at just 8% among the 10 major models tested.
In comparison, market leader ChatGPT registered one of the highest hallucination rates at 35%, just behind Google’s Gemini, which registered a high hallucination rate of 38%. The findings highlight Grok’s factual prowess despite the AI model’s lower market visibility.
Grok tops hallucination metric
The research evaluated chatbots on hallucination rate, customer ratings, response consistency, and downtime rate. The chatbots were then assigned a reliability risk score from 0 to 99, with higher scores indicating bigger problems.
Grok achieved an 8% hallucination rate, 4.5 customer rating, 3.5 consistency, and 0.07% downtime, resulting in an overall risk score of just 6. DeepSeek followed closely with 14% hallucinations and zero downtime for a stellar risk score of 4. ChatGPT’s high hallucination and downtime rates gave it the top risk score of 99, followed by Claude and Meta AI, which earned reliability risk scores of 75 and 70, respectively.
Why low hallucinations matter
Relum Chief Product Officer Razvan-Lucian Haiduc shared his thoughts about the study’s findings. “About 65% of US companies now use AI chatbots in their daily work, and nearly 45% of employees admit they’ve shared sensitive company information with these tools. These numbers show well how important chatbots have become in everyday work.
“Dependence on AI tools will likely increase even more, so companies should choose their chatbots based on how reliable and fit they are for their specific business needs. A chatbot that everyone uses isn’t necessarily the one that works best for your industry or gives accurate answers for your tasks.”
In a way, the study reveals a notable gap between AI chatbots’ popularity and performance, with Grok’s low hallucination rate positioning it as a strong choice for accuracy-critical applications. This was despite the fact that Grok is not used as much by users, at least compared to more mainstream AI applications such as ChatGPT.
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
