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Tesla Will Pay Hackers To Help Improve Security
Tesla has announced a program of cash awards for hackers who expose security risks they find at on the company website and provide ways to fix them.
After Tesla’s Twitter account got hacked in April, they have become more serious about security for its website. Tesla is using Bugcrowd, a place where “white hat” hackers congregate, to solicit assistance in identifying security risks on the company website. Cash rewards from $25 to $1,000 are offered.
The official announcement at Bugsource reads as follows:
“Tesla values the work done by security researchers in improving the security of our products and service offerings. We are committed to working with this community to verify, reproduce, and respond to legitimate reported vulnerabilities. We encourage the community to participate in our responsible reporting process.”
Rather than posting at Bugsource, Tesla asks people to e-mail it directly to vulnerability@teslamotors.com.
For its part, Bugsource has created a Hall of Fame for those who respond to the Tesla offer. It says 22 submissions have been made so far. You can see what awards have been made once you sign up to become a Bugsource member.
The rather large elephant in the room, however, is not security for the company website. It is security for the cars the company makes, every one of which leaves the factory with internet connectivity built in. The individuals who hacked the Tesla Twitter account were mere pranksters, but people with actual malicious intent could create havoc if they are able to hack into the cars themselves.
At a time when self-driving features are being touted by many car makers, especially Tesla with its highly advanced suite of AutoPilot features, the need to guarantee the security of onboard computers and software is critical. As cars add more “drive by wire” systems that control steering and braking, the possibility of serious physical harm increases exponentially.
Just the other day, a massive intrusion into US government computer records has been reported. Government officials tell the Associated Press the hack occurred at the Office of Personnel Management and the Interior Department. It involves information about security clearances and could potentially affect four million people at every federal agency.
Two months ago, a rogue airline pilot took it upon himself to drive a passenger jet into the ground in the French Alps. Security experts told reporters that it is possible to take control of an aircraft remotely in such situations, but they are loathe to create the systems needed to do so for fear they could be hacked by people with malicious intent.
Tesla has been more pro-active than many automakers with regard to security for its onboard software. Most, especially General Motors, claim that their software is protected by the Digital Millenium Copyright Act and threaten anyone who attempts alterations to the code with arrest and prosecution.
Ted Harrington, executive partner at Independent Security Evaluators, believes manufacturers should be taking more measures to protect people’s lives, according to Forbes. “When it comes to security research, the stakes are the highest when human lives are involved. Securing the connected car is about more than just protecting data; it is about protecting lives. In that vein, auto manufacturers should be going to extreme lengths to harden their systems against the most sophisticated adversaries.
“In order to fully understand and mitigate risk, a system must go through ongoing, thorough, manual white box security assessment. With lives at stake, auto manufacturers in the era of the connected car should consider robust security assessment a business-critical mandate.”
Tesla did offer $10,000 last year to anyone who could hack a Model S. Reportedly, the prize was awarded to Chinese group Qihoo 360. Perhaps Tesla is deeply involved in insuring the digital security of its cars and simply chooses not to talk about the subject publicly. At least we hope so.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
