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Tesla Model 3 makes it as one of Motortrend’s Car of the Year Top 3 finalists
The Tesla Model 3 has been named as one of three finalists in Motortrend‘s 2020 Car of the Year award rankings, alongside the Chevrolet Corvette and the Kia Soul.
Motortrend released the lists of finalists on November 12 and will evaluate each vehicle by six different criteria to determine the winner: Safety, Efficiency, Value, Advancement in Design, Engineering Excellence, and Performance of Intended Function.
Motortrend notes the 2020 Tesla Model 3 as the best sport sedan on the market. “The 2020 Model 3’s interior design continues to be modern and minimalistic, but it’s elegant in its simplicity. The 2020 Model 3’s seats offer more bolstering, and rear passengers now enjoy a more ergonomic position, as the bench has been raised for improved comfort. In terms of driving, the Model 3 offers impressive dynamic performance as well as battery-pack range that continues to be the benchmark for electric vehicles,” the publication wrote.
In terms of the six criteria, the Model 3 will be extremely competitive with both the Chevy Corvette and Kia Soul. The Model 3 was given a five-star safety rating from the National Highway Transportation Safety Administration (NHTSA) and was given the “Top Safety Pick+” award by the Insurance Institute for Highway Safety (IIHS). The conjunction of these two awards could allow Motortrend to recognize the Model 3 as the safest vehicle on the road today.
The Model 3 is one of the most efficient vehicles on the road today as well. The Long Range All-Wheel Drive variant offers drivers 322 miles of range on a single charge, while the Performance trim offers 310 miles. Not to mention, the Model 3’s environmental efficiency is top-ranked due to the car’s zero-emissions nature.
Advancement in Design is another one of the Model 3’s most impressive features. The car, along with the rest of Tesla’s released models is able to improve through the company’s frequent updates, like the most recent V10 software. Not only does Tesla improve upon the entertainment and accessibility features, but the updates can also affect performance features. The Model 3 is constantly improving with these updates, thanks to Elon Musk and his team at Tesla.
Recognized as having an “excellent design” by former General Motors car designer Robert Cumberford, the Model 3 is competitive to the Corvette and Soul in engineering excellence. Cumberford stated that the “function is embodied in a minimalist manner, providing elegant simplicity” compared to other vehicles, and compared its “deceptive” simpleness to Apple products.
The Performance trim of the Model 3 is one of the highest quality vehicles on the market with a 0-60 MPH time of 3.2 seconds. The Model 3 has outperformed vehicles like the Ferrari F12, the 2020 Toyota Supra, and a 2020 Ford Mustang GT on drag races, proving you do not need a loud, gas-powered motor to win 1/8 and 1/4-mile races. In fact, electric vehicles are more likely to outperform their petrol-based counterparts, as they utilize instant torque for quick acceleration.
The Model 3 has been given multiple awards since its initial deliveries in July 2017. Most recently, Tesla CEO Elon Musk was given the Golden Steering Wheel Award for the Model 3 in Berlin, Germany, the future home of Gigafactory 4. The list of the Model 3’s recognition as one of the best vehicles in the world is lengthy, and the vehicle makes a strong case that it could be the recipient of Motortrend‘s 2020 Car of the Year award.
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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.
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Tesla (TSLA) receives “Buy” rating and $551 PT from Canaccord Genuity
He also maintained a “Buy” rating for TSLA stock over the company’s improving long-term outlook, which is driven by autonomy and robotics.
Canaccord Genuity analyst George Gianarikas raised his Tesla (NASDAQ:TSLA) price target from $482 to $551. He also maintained a “Buy” rating for TSLA stock over the company’s improving long-term outlook, which is driven by autonomy and robotics.
The analyst’s updated note
Gianarikas lowered his 4Q25 delivery estimates but pointed to several positive factors in the Tesla story. He noted that EV adoption in emerging markets is gaining pace, and progress in FSD and the Robotaxi rollout in 2026 represent major upside drivers. Further progress in the Optimus program next year could also add more momentum for the electric vehicle maker.
“Overall, yes, 4Q25 delivery expectations are being revised lower. However, the reset in the US EV market is laying the groundwork for a more durable and attractive long-term demand environment.
“At the same time, EV penetration in emerging markets is accelerating, reinforcing Tesla’s potential multi‑year growth runway beyond the US. Global progress in FSD and the anticipated rollout of a larger robotaxi fleet in 2026 are increasingly important components of the Tesla equity story and could provide sentiment tailwinds,” the analyst wrote.
Tesla’s busy 2026
The upcoming year would be a busy one for Tesla, considering the company’s plans and targets. The autonomous two-seat Cybercab has been confirmed to start production sometime in Q2 2026, as per Elon Musk during the 2025 Annual Shareholder Meeting.
Apart from this, Tesla is also expected to unveil the next-generation Roadster on April 1, 2026. Tesla is also expected to start high-volume production of the Tesla Semi in Nevada next year.
Apart from vehicle launches, Tesla has expressed its intentions to significantly ramp the rollout of FSD to several regions worldwide, such as Europe. Plans are also underway to launch more Robotaxi networks in several more key areas across the United States.