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Tesla Full Self-Driving monthly subscriptions poised for 2021 launch
Tesla is planning on launching monthly subscriptions to Full Self-Driving by 2021, announced Elon Musk in a recent tweet. He broke the news after setting an updated timeframe for FSD beta’s ~$2,000 price increase on Thursday, October 29.
A subscription service would make FSD more affordable to Tesla owners because drivers could opt to use the service only when necessary. From a consumer’s perspective, FSD might be worth buying if it’s bound to be used often. However, a subscription service might be more practical for drivers who won’t use Tesla’s Full Self-Driving suite daily and only need it during long drives or trips.
An FSD subscription service would not only benefit customers though. It would also benefit Tesla, specifically its AI team. The more data and driving experience FSD’s AI gathers, after all, the better it will perform.
With this in mind, making FSD as accessible as possible to Tesla owners should be a key priority for the company. Elon Musk predicted that FSD could be worth more than $100,000 one day. To reach that price point, Tesla’s Full Self-Driving capabilities would need to improve dramatically. More real-world driving data means that more improvements could be made.
Tesla’s subscription service has been in the works for some time. EV enthusiast @greentheonly spotted the first signs of a possible FSD subscription service drop while sifting through Tesla’s code in April earlier this year.
“[T]here’s code for pay as you go subscription plan, has been for quite a while. Waiting for that eventual time when it will make sense I am sure,” green tweeted then.
Two days after the owner-hacker talked about the code for Tesla’s FSD subscription plan, Elon Musk and Zachary Kirkhorn confirmed the news during TSLA’s Q1 2020 earnings call. “I think we will offer Full Self-Driving as a subscription service, but it will be probably toward the end of this year,” answered Elon Musk noted.
Musk added that buying Tesla’s Full Self-Driving suite at full price might be a better investment. “I should say, it will still make sense as — to buy FSD as an option as, in our view, buying FSD is an investment in the future. And we are confident that it is an investment that will pay off to the consumer — to the benefit of the consumer. In my opinion, buying FSD option is something people will not regret doing,” he said.”
However, Musk was not wrong about perceiving FSD as an investment. In July 2020, a few months after the Q1 earnings call, Tesla raised the price of FSD from $7000 to $8000. After the FSD price increase, Musk reminded the public that Tesla’s Full Self-Driving software would increase in value every few months. “Those who buy it earlier will see the benefit,” he noted.
Musk held true to his word. Tesla recently released its limited Full Self-Driving beta, which is expected to feature improvements from the highly-anticipated Autopilot rewrite. Based on recent real-world tests of Tesla’s improved FSD suite, the EV automaker has made leaps and bounds in the development of its self-driving driving software.
Corresponding to Tesla’s FSD beta was another price increase, merely months after the $1,000 raise in July 2020. Yesterday, Elon Musk announced Tesla would increase the price of FSD by ~$2,000, bringing it up to $10,000. Given the dramatic changes seen in Tesla’s limited FSD beta, the price increase makes sense to some.
However, it does also makes FSD less affordable to others. A subscription service for FSD would make Tesla’s autonomous software more accessible to those who aren’t willing to or can’t shell out $10,000 or more upfront.
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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
