Last year, Tesla made headlines when it made a Mid-Range Model 3 RWD a target and prize at a Pwn2Own hacking competition. Two hackers participating at the event were able to find a vulnerability with the Model 3’s browser, allowing them to win the vehicle and over $350,000 in prize money. But Tesla is a company that never stays still, so this year, the electric car maker is returning to an upcoming Pwn2Own event this March, armed with a much more secure Model 3 and a bigger cash reward.
This time around, Tesla is offering three tiers of prizes for hackers who can find vulnerabilities in the Model 3. Hackers who wish to claim the highest “Tier 1” prize would need to pivot through multiple systems in the car to find vulnerabilities. But if they are successful, they will win the Model 3 and a $500,000 prize. But that’s not all. Contestants can also aim to acquire additional options to increase the cash prize to $700,000.
In a statement to Forbes, a spokesperson from Trend Micro ZDI explained that Tesla’s challenge this year is incredibly tough, but it also comes with a record-setting reward. “This represents the single largest target in Pwn2Own history. If someone can do this, it would also mean 70 total Master of Pwn points, which is nearly insurmountable,” the spokesperson said. “We wanted to include Tesla because they pioneered the concept of a connected car and over-the-air updates for their entire vehicle fleet nearly a decade ago, and have been leading the space ever since.”
Just like last year, Tesla will be joining other tech companies at the upcoming Pwn2Own event. While Tesla appears to be the only automaker that is willing to test its vehicles’ security against the best white hat hackers in the industry, other mainstream tech companies are also allowing their key products to be targets for the competition. Google’s Chrome, Microsoft’s Edge, Apple’s Safari, and Mozilla’s Firefox web browsers, for example, are all targets this time around for the Web Browser category. At the same time, Microsoft’s Office 365 Plus and Adobe Reader are the targets for the Enterprise Applications category.
Tesla’s participation in events such as Pwn2Own highlights the company’s Silicon Valley roots. The company’s electric vehicles usually dominate the news cycle, resulting in Tesla being commonly dubbed as a carmaker. But the company is far beyond that, as it is, at its core, a tech firm. This is one of the reasons why Teslas are so different from any other vehicle on the road. Its vehicles are equipped with proprietary software and hardware that provides something akin to an Apple-like experience for customers.
This distinction is something that Tesla had emphasized since 2014, when the company broke conventions by launching its Bug Bounty program. By doing so, Tesla practically invited white hat hackers to find security faults in its vehicles. Tesla’s efforts have largely borne fruit, with several security features today, such as PIN-to-Drive, being developed as a result of the company’s Bug Bounty program.
The upcoming Pwn2Own event will be held at the CanSecWest conference, which is scheduled to run from March 18-20, 2020.
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
