News
Filmmaker offers influencers $100 to bash Tesla, Elon Musk.
In an emailed tip sent to Teslarati, a reader shared that a filmmaker is hiring 75-100 social media influencers to record themselves bashing Elon Musk and Tesla. According to the tip, which included the screenshot below, the casting call is asking for influencers to bash Tesla, Elon Musk, and autonomous driving.
The short film, titled Man Versus. Musk, is seeking “75-100 actors with a strong social media presence/following to read and self-record a new 10-15 minute monologue.” According to the casting call, which you can find here, the pay will be a flat rate of $100 for an estimated one hour of work.
Influencers will need to record themselves reading the script and upload the video to social media before receiving the $100 payment. At the time of this writing, there are only two influencers who have read and uploaded the script which starts out as
“Hey Everybody! How’s it going? Thanks for coming. I’m Jordan. Welcome to “Man Versus Musk” A show. A comedy. A call to action. A political movement that requires our attention and focus. More on the Musk matter later,”
The script that the influencers record themselves reading claims that Elon Musk has been intentionally tone-deaf to distracted driving.
“Fact, he has built his empire disempowering drivers from the ability to pay attention and keep their car on the road,” the script reads.
According to the script, Tesla’s Ludicrous Mode is the greatest champion of distracted driving the world has ever seen. It says that Elon Musk has no interest in stopping what it calls destructive driving which would require drivers not to play on their phones while driving and change their behavior while behind the wheel.
“He is the billionaire promoter of distracted driving. He’s built his wealth and reputation on the promise of the self-driving car. Over and over, Musk has declared that truly autonomous driving is nearly here! The day when a Tesla could drive itself — which it turns out is much further away than previous estimations. Extolling the virtues of auto-pilot, leading drivers to falsely believe that it is safe to keep their eyes off the road,” the script reads.
It should be noted that Tesla has always emphasized that drivers pay attention and be prepared to take over when Autopilot and FSD Beta are engaged.
My 2.5¢
As someone who has actually met Elon Musk, witnessed FSD Beta stop for cyclists and pedestrians, and has interviewed Tesla owners and read stories by owners whose lives have been saved by their cars, I find this film lacking in facts.
I think the filmmaker does want to do good and see themself as doing good, but their actions are based upon misinformation and quite frankly, Tesla FUD (fear, uncertainty, and doubt) that is often spread by the mainstream media.
I think the focus should be on distracted driving and include facts and statistics such as the National Highway Traffic Safety Administration’s (NHTSA) recent estimates of the fatality rate per 100 million vehicle miles traveled (VMT) and compare those with Tesla’s own data.
According to the NHTSA, in 2021 there were a total of 38,824 fatalities per 100 million VMT. Tesla published its own vehicle safety report for 2021 for each quarter and includes data showing whether or not a vehicle had Autopilot engaged. According to Tesla per quarter:
Q1 2021
- 1 accident for every 4.19 million miles driven with Autopilot engaged.
- 1 accident for every 2.05 million miles driven without Autopilot engaged but with Tesla’s active safety features.
- 1 accident for every 978,000 miles driven without Autopilot and without Tesla’s active safety features.
Q2 2021
- 1 accident for every 4.41 million miles driven with Autopilot engaged and Tesla’s active safety features engaged.
- 1 accident for every 1.2 million miles driven without Autopilot and without Tesla’s active safety features.
Q3 2021
- 1 accident for every 4.97 million miles driven with Autopilot engaged and Tesla’s active safety features engaged.
- 1 accident for every 1.6 million miles driven without Autopilot and without Tesla’s active safety features.
Q4 2021
- 1 accident for every 4.31 million miles driven with Autopilot engaged and Tesla’s active safety features engaged.
- 1 accident for every 1.59 million miles driven without Autopilot and without Tesla’s active safety features.
For each quarter, Tesla said,
“By comparison, NHTSA’s most recent data shows that in the United States there is an automobile crash every 484,000 miles.”
Although Tesla documented accidents and the NHTSA documented fatalities, Tesla’s numbers show that with its Autopilot and active safety features engaged, there are fewer incidents than without.
Personally, I find it sad and disheartening that this filmmaker isn’t using facts or data and is manipulating young people into spreading misinformation about Tesla, Elon Musk, and autonomous driving for an easy $100.
Note: Johnna is a Tesla shareholder and supports its mission.
Your feedback is important. If you have any comments, or concerns, or see a typo, you can email me at johnna@teslarati.com. You can also reach me on Twitter at @JohnnaCrider1.
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Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
