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Tesla’s date-specific releases are spelling trouble for competing car companies
Tesla continues to release the newest and most exciting features in automotive technology on what seems like a daily basis. Recently, CEO Elon Musk has dropped several exciting developments dealing with manufacturing, battery technology, or Self-Driving functionality, all pointing toward the beginning of the end of the internal combustion engine industry. With every strategically-timed feature that Tesla releases, the ICE industry suffers another hit, making the numerous manufacturers that have been around for nearly a century rethink their strategies for the future as consumers look for new technology in cars. Tesla has established itself as the leader in moving the automotive industry forward.
Just last week, Musk stated on Twitter that Tesla would be releasing a “zero-intervention” version of the FSD suite, allowing owners to have their cars drive to destinations with no real responsibilities being left on the driver.
Musk confirmed the exact date of release earlier this morning, saying that the feature will be subject to a “limited FSD beta” on October 20th. The release date is “as promised,” as last week, the CEO indicated that it would be released “in a few weeks.”
Limited FSD beta releasing on Tuesday next week, as promised. This will, at first, be limited to a small number of people who are expert & careful drivers.
— Elon Musk (@elonmusk) October 12, 2020
Tesla has been fairly accurate with its timeframes in terms of releasing new technology to owners. However, there have been a few times in the past where the company has released something a few days, weeks, or months past the announced date. Usually, delays come down to whether the feature or functionality is ready for public use. When it comes to self-driving or semi-autonomous driving features, mistakes must be minimal. Tesla has to be sure that all bases are covered before releasing even a new characteristic’s limited-version.
Without performing the proper due-diligence, Tesla could be set back for months or even years. The company must continue to use its strive for perfection to its advantage. But now, Tesla is becoming more accurate with its timeframes, which spells significant amounts of trouble for other carmakers.
When the Full Self-Driving suite was aimed at a “feature complete” release toward the end of last year, many enthusiasts knew it would be tough for Tesla to complete this task. After the goal was not met, Musk indicated that Tesla would continue to work on the FSD suite and would release new features intermittently. Tesla did just this.
One of the most relevant examples of this is the Traffic Light and Stop Sign Control feature that became available in April 2020. When initially released, it required users to confirm that an intersection was safe for navigation by confirming it through the driving stalk. In June, Tesla removed the need for driver confirmation, allowing cars to navigate through intersections without driver intervention.
Tesla has kept its word with releasing features. However, what has been missing is an accurate timeframe, which has kept owners guessing about which features will be available at what times. But, Tesla is improving with this and is becoming more deliberate with keeping up with goals.
With more predictable release dates, Tesla becomes significantly more dangerous to legacy and ICE automotive companies. Knowing exactly when features will be ready and when the public will have the opportunity to experience them is effectively Tesla digging the six-foot deep hole where ICE car companies will lie within a few years. It means Tesla is developing functionalities in a timely fashion with accuracy and confidence.
Even though the feature is not a wide-release, FSD features rarely are. They often start with Tesla employees, and then roll out to members of the company’s “Early Access Program.” After the bugs and kinks, if there are any, are modified, then the wide-release begins.
As Tesla continues to raise the bar in semi-autonomous driving, electric vehicle technology, and EV battery functionality, it is evident that soon, there will be no more advantages to driving a car that is powered by gas. While fun for some, driving is a chore for others, and FSD will give those who are forced to travel the opportunity to have cars drive themselves.
The big picture of Tesla is narrowing down specific release dates for features is that their approach is becoming more calculated, defined, and precise. All of which are a disaster for traditional car companies who are still lagging in EV development and Advanced Driver Assistance features. Tesla is pulling away, not only literally, but metaphorically, as well.
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.”
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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
