News
Tesla Supercharger Network allows Model 3 owner to travel from NY to FL for less than $70
One of Tesla’s biggest advantages in the electric vehicle sector is arguably its Supercharger Network, which allows vehicles to recharge their batteries in a convenient, rapid, and affordable fashion. This was highlighted recently by a Model 3 owner who spent less than $70 in Supercharging fees during a two-day trip that spanned over 1,200 miles, from Buffalo, NY to Melbourne, FL.
Tesla owner Richard Clements shared some insights about his 1,248-mile drive in a recent post on the Tesla Owners Club New York State blog. According to the Tesla owner, the trip was not difficult at all, especially since the Model 3 provided all the information necessary to ensure that the vehicle always had sufficient charge.
Thanks to the Supercharger Network’s reasonable rates, the Model 3 owner only spent an average of $0.25/kWh during the New York to Florida trip. This meant that over the course of the two-day drive, Clements only spent a total of $69.96 in Supercharger fees. The Tesla owner noted that this amount was about half of what he used to spend when he was still making the trip with his Jaguar or CR-V. Even with low fuel prices, Clements noted that he would spend about $140 in fuel costs.
The Model 3’s total charging time at Tesla Superchargers stood at about 207 minutes, though 40 minutes of this was done in a hotel, where Clements spent the night. With this in consideration, the Tesla owner noted that the effective charging time of the Model 3 was actually just around 167 minutes. Based on his driving behavior, which involves stopping for bathroom and food breaks every 3.5 hours or so, the Tesla owner noted that the Model 3’s downtime was comparable to his previous ICE vehicles.
“To make a valid time comparison though, our Supercharging time in Wytheville VA was done right in the parking lot of the hotel where we were spending the night, so that charging time had no effect on our overall travel time. Deducting those 40 minutes makes the effective time 167 minutes. To make a valid comparison, there has to be some downtime on a trip like this. Any ICE vehicle still needs about 10 minutes to refuel at least 3 times on a trip of 1,250 miles, so by my estimate that’s 30 minutes for refueling.
“Also, as a practical matter, we don’t generally last more than about 3.5 hours without a need for plumbing or something to eat, so generally, we’d also be stopping for some meals… Assuming lunch and other miscellaneous breaks on our Florida run, that would easily account for about another 2 hours of downtime. So adding those two hours to the gasoline refueling time, the total would be 160 minutes. That compares to the 167 minutes in our Tesla—only an insignificant 7 minute’s difference,” Clements concluded.
Tesla’s ramp of its Supercharger Network would likely accelerate this year, particularly as the company doubles down on the expansion of its V3 chargers across the United States. Overseas, Tesla’s charging network is also making waves, with the electric car maker establishing a dedicated Supercharger factory just a few miles from Gigafactory Shanghai. The facility is expected to have an output of 10,000 Superchargers per year.
Clements’ full account of his sub-$70, 1,248-mile drive from Buffalo, NY to Melbourne, FL could be accessed here.
Don’t hesitate to contact us for news tips. Just send a message to the Teslarati team through tips@teslarati.com to give us a heads up.
News
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.
News
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.
Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
Elon Musk’s Grok records lowest hallucination rate in AI reliability study
