News
Tesla owners convey worries over radar loss for inclement weather
This is a preview from our weekly newsletter. Each week I go ‘Beyond the News’ and handcraft a special edition that includes my thoughts on the biggest stories, why it matters, and how it could impact the future.
Tesla’s recent decision to scrap Radar in favor of a Camera-based approach for Autopilot and Full Self-Driving aligned with the company’s plans and statements over the past few Earnings Calls. For CEO Elon Musk, the goal has been to get away from radar and depend on camera systems for Tesla’s self-driving plan, but some owners are not convinced of the decision. Over the past few days, I have received several emails and Tweets about the decision, with some owners still not completely confident in the vision-based approach Tesla will take.
During the Q1 2021 Earnings Call just a few months back, Elon Musk made it clear Tesla would be switching to a Camera-based system for AP and FSD. Comparing the cameras to human eyes, Musk’s explanation made a lot of sense.
Musk said:
“When your vision works, it works better than the best human because it’s like having eight cameras, it’s like having eyes in the back of your head, beside your head, and has three eyes of different focal distances looking forward. This is — and processing it at a speed that is superhuman. There’s no question in my mind that with a pure vision solution, we can make a car that is dramatically safer than the average person.”
Tesla Model 3, Model Y builds in May 2021 will no longer equip radar
Now, the thing is, eyes, while great for seeing things that are in the clear, are highly effective, and it makes a lot of sense to try and use this sort of approach for self-driving because it is how humans have driven for years. But when humans are confronted with low visibility and severe weather on the road, the confidence goes down, and many drivers adjust by traveling at lower speeds. Some even pull over and wait for the weather to subside, a move that is rare for many but some simply do not like driving in bad weather.
This is where radar comes in handy because it can identify and locate objects and how far they are away from the vehicle in the event of low visibility on the road, which is something that the human eyes, or cameras, simply cannot do.
An email from an Australian reader seemed to narrow in this point even further. A man named Peter emailed me and stated that his Model 3 recently identified a truck that was ahead of him but concealed in an opaque, white mist several car links ahead of his vehicle. “I assumed that visualization was created as a result of radar. In those conditions, the message multiple cameras blocked or obstructed appeared and the autopilot screamed and handed over,” Peter said.
Unless I’m in fog on I-5 and can’t see the massive collision ahead…. I’d like to understand the workaround to this. pic.twitter.com/sQXB63yWlv
— Rome Strach (@romn8tr) May 28, 2021
He then added, “On multiple other occasions I’ve noted on the visualization screen an unsighted vehicle obstructed by an SUV ahead of me.”
Without radar, the recognition of these vehicles would not be possible, so it brings some concerns to drivers who have utilized the radar system in vehicles to gain confidence in their surroundings.
Now, in a somewhat comical response to concerns, Musk posted a Reddit response from u/YukonBurger, which stated that they worked with radar a lot and were “very, very happy” with Tesla’s decision. It basically explained that trying to jive radar and cameras together is extremely difficult, and there are instances where using your eyes is just a better option because you can see how far you are away from things. Interestingly, the post does admit that “radar is really only good for reduced visibility situations where lane-keeping will probably also be degraded enough to not be worth it.” It concluded by stating that vision is still quick enough to avoid accidents or vehicles in front of the car in a short period of time, the real issue comes from cars behind you.
Not sure who wrote this, but it’s accurate pic.twitter.com/gRvWxOJZ56
— Elon Musk (@elonmusk) May 26, 2021
It seems that the real key to vision being a better approach comes down to the fact that, in clear conditions, it won’t have an issue identifying and removing itself from danger. Even in rainy conditions, where visibility isn’t necessarily bad, the vision approach is more advantageous than using radar.
The goal, ultimately, is to make the cars act as a human would, and humans don’t have radar. Instead, they compensate for reduced visibility with less dangerous driving. Slower speeds, more cautious navigation, and less frequent lane changes. Autopilot and FSD are already pretty timid and “shy” to begin with, it’s not like they’re out there driving like pissed-off teenagers.
I think that, while this move is somewhat worrisome for some drivers, the benefits outweigh the disadvantages. This has been a part of the plan for some time, and I think that now it is becoming a reality, some are starting to put the pieces together that there won’t be any radar so visibility limitations could end up being problematic. I wouldn’t worry, because I believe the cars will adjust just as humans do, they will simply be more cautious and more courteous on the roads in these settings.
A big thanks to our long-time supporters and new subscribers! Thank you.
I use this newsletter to share my thoughts on what is going on in the Tesla world. If you want to talk to me directly, you can email me or reach me on Twitter. I don’t bite, be sure to reach out!
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
