Tesla will give the National Highway Transportation Safety Administration (NHTSA) access to FSD Beta, according to a recent tweet from Elon Musk. Elon responded to a tweet from @WholeMarsBlog who pointed out that even the NHTSA was complaining about having to participate in the safety score process that all of Tesla’s FSD Beta testers have to do.
🤣 ok we’ll turn it on
— Elon Musk (@elonmusk) August 16, 2022
In the tweet, @WholeMarsBlog shared a screenshot of a letter from the agency to Tesla that read:
“As you know, NHTSA owns a Tesla vehicle with the FSD option.”
“With over 700 miles of driving this year and a Safety Score of 99 (including a score of 100 for the most recent 107 miles on January 21), we have not received the OTA update to fully enable FSD in our vehicle.”
“We request some of your time and expertise to asses our situation and help us understand what additional steps we might need to take.”
The letter was dated in January 2022 but is now being brought into the public spotlight on Twitter. This comes after some drama over the weekend. The CEO of Green Hills Software and founder of the Dawn Project, Dan O’Dowd, has been relentlessly campaigning against Tesla’s FSD Beta. The billionaire has recently published television ads claiming that Tesla’s FSD Beta is not stopping for children.
These claims have been debunked several times over the weekend and I wrote about two instances. In the first one, I interviewed @TeslaDriver2022 who performed a test with child-sized Amazon boxes.
“The FSD Beta has just been getting better exponentially even since I’ve been using it. Just some of the predictions it’s got and the capabilities to understand when things are getting in their path. Not even that. Some of the most impressive stuff is just when I’m driving down the road at 45 miles an hour and there’s a car that will turn in front of me to get into a parking lot.
“Its ability to understand whether or not that car is gonna make it or not and whether or not it needs to slow down. It’s becoming very human-like.”
In the second article, @WholeMarsBlog tested FSD Beta on a child-sized mannequin and allowed Tad Park to test it on his son. In each test, FSD Beta recognized and stopped for pedestrians. He told me that the test showed that FSD Beta has no problem detecting pedestrians of all ages.
However, critics claim that the Tesla owners are vile for testing it on their children, yet are refusing to acknowledge that O’Dowd’s claims were disproven. The idea of testing such software on a child may seem horrifying to those who don’t understand the software or know how to drive.
A father who loves his child would quickly take over and brake if the software were to refuse to stop. And in the video, you can see clearly see the screen recognizing the child and stopping at a very safe distance.
In O’Dowd’s videos, the screen is hard to see and you can see some type of error message as the driver refuses to disengage. Many in the Tesla community have pointed out that the driver was accelerating. If this is the case, then FSD Beta would have to allow the driver to take over. This includes acceleration.
Aka, something like "Accelerator pedal is pressed – car will not brake" or "Front camera blocked or blinded".
Why do you keep driving with errors? Why do you keep "coincidentally" posting videos with them too blurry to read?
People have been asking you this from Day 1, Dan.
— Nafnlaus 🇮🇸🇺🇦 (@enn_nafnlaus) August 15, 2022
With Tesla granting the NHTSA access to FSD Beta, the agency will most likely do testing of its own. This, I think would be a very good thing considering that the agency and its employees aren’t running for political office for the sole reason of taking down Elon Musk.
The agency and Tesla may have gone head to head a few times, however, safety is important for both Tesla and the NHTSA so it makes sense to grant the agency FSD Beta for its vehicle.
Disclaimer: Johnna is long Tesla.
I’d love to hear from you! If you have any comments, concerns, or see a typo, you can email me at johnna@teslarati.com. You can also reach me on Twitter @JohnnaCrider1
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.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
