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Elon Musk says Tesla’s Summon is ‘a fun trick’ that will only get better
Tesla’s Smart Summon feature is one of the most notable Full Self-Driving (FSD) suite characteristics. While driving on public roads and highways with minimal interventions thanks to the newly released FSD Beta V9 is already wildly impressive due to the accuracy and incredibly confident nature it operates in, Summon is one feature that seems to capture the attention of most non-Tesla informed people more often than not. Although CEO Elon Musk said that Summon is “mostly just a fun trick” for now, improvements are coming that will make its nature more useful than a surefire way to impress people nearby.
“Current Summon is sometimes useful,” Musk said on Twitter this weekend, “but mostly just a fun trick.” Indeed, many Tesla owners have utilized Summon to bring their cars to them during torrential downpours or through tricky parking lots, and it’s quite impressive with its accuracy. However, the feature isn’t perfect. Some owners have indicated that there are definitely improvements that need to be unloaded into Summon before it becomes a mainstream and more frequently utilized way to get into a car without having to walk to it.
Current Summon is sometimes useful, but mostly just a fun trick. Once we move summon (plus highway driving) to a single FSD stack, it will be sublime.
— Elon Musk (@elonmusk) July 17, 2021
In mid-July 2020, one owner said that Summon wasn’t effective on his driveway due to the excessive grade. The steep nature of the owner’s driveway wouldn’t allow Summon to operate properly, and Elon Musk said that the improvements would ultimately come from “upgrading Autopilot to 4D vs. ~2.5D, then it will go up very steep slopes.”
Musk maintains that the improvements to Summon will occur when the feature, along with highway driving functionalities, is switched to a single software stack. Currently, the two features operate on different stacks, likely because they are of a completely unrelated nature. Instead, it seems Tesla will merge multiple FSD functionalities into one stack, and Summon will depend on the Neural Network for improvements.
Watch Tesla Smart Summon react to a runaway “shopping cart” in latest obstacle test
The switch from what Musk calls ~2.5D to 4D is the main focus of the new Dojo Supercomputer. Recently, Tesla’s Senior Director of Artificial Intelligence, Andrej Karpathy, detailed the Supercomputer that Tesla is utilizing to bring in the Dojo era. What is likely the most powerful computer globally, the massive system is utilized to handle large amounts of video, clean data, and diverse scenarios that make the suite well-rounded and more complex with every mile driven. Dojo is set to be released later this year, according to Tesla.
Summon, while definitely a fun feature, would be widely beneficial if it was more accurate and could operate in various scenarios, like on steeper grades. For example, Summon has been utilized by those in a wheelchair to back out their vehicle when parked in tight quarters. Additionally, Summon has been used to bring vehicles to the entrance of a grocery store to pick up a family. The feature has some serious potential moving forward. Still, Tesla realizes the improvements it has talked about are likely the bridge that will connect Summon from a ‘fun trick’ to a beneficial characteristic.
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
