News
Tesla introduces Safety Score (Beta) system that incentivizes safe driving
As Tesla starts the rollout of its “Request Full Self Driving” button to more members of its fleet, the company has also introduced its Safety Score (Beta) system to evaluate driving behaviors. With this new system on hand, Tesla has effectively incentivized and gamified safe driving, which would likely make the rollout of programs such as FSD Beta a lot smoother and less likely to result in accidents.
Safety Scores are an assessment of driving behavior based on five metrics that the company calls “Safety Factors.” These factors are Forward Collision Warnings (FCW) per 1,000 Miles, Hard Braking, Aggressive Turning, Unsafe Following, and Forced Autopilot Disengagement. Tesla utilizes a Predicted Collision Frequency (PCF) formula based on statistical modeling using 6 billion miles of fleet data to predict how many collisions may occur per 1 million miles driven. The PCF is converted into a Safety Score between 0 and 100, which are then viewed through the Tesla App.

Tesla released some tips on how drivers could improve their Safety Score. To improve ratings on Forward Collision Warnings per 1,000 Miles, drivers are advised to maintain a following distance that gives enough time to react to slower or stationary vehicles ahead. Hard Braking scores, on the other hand, could be improved by engaging the brake pedal early when slowing down and using regen braking whenever possible and safe to do so. Hard Braking scores should also improve when drivers maintain a safe distance from the vehicle in front of them.
Aggressive Turning is defined as left/right acceleration in excess of 0.4g. Thus, drivers could improve their numbers in this metric by taking turns gradually, reducing their speed heading into a turn, and gradually accelerating afterward. Unsafe Following scores would likely be easy to improve, as drivers simply need to maintain a following distance worth several car lengths to the vehicle in front. This way, drivers could have enough time to react just in case something untoward happens.
Forced Autopilot Disengagement highlights the need to use the company’s advanced driver-assist features in a responsible manner. Proper Autopilot use is outlined in vehicles’ Owner’s Manual, and it requires drivers to have their hands on the wheel and pay close attention to the road. Tesla notes that the Forced Autopilot Disengagement metric is a 1 or 0 indicator, with the value being 1 if Autopilot forcibly disengages during a drive and 0 if the system is operated nominally.
- An example of a high Safety Score, reflecting generally good driving behaviors. (Credit: Jason DeBolt/Twitter)
- An example of a low Safety Score, reflecting some unsafe driving behaviors. (Credit: Tesla Raj/Twitter)
Safety Scores are updated every time a trip is taken on a Tesla vehicle. Provided that a Tesla is connected to the internet, Safety Scores should provide immediate feedback on a driving session. Vehicles that are not connected to the internet would update their Safety Scores as soon as cellular connectivity is secured. It should also be noted that all trips over 0.1 miles are considered as a valid driving session that could affect a driver’s rating.
Safety Scores are vehicle-specific as well, so drivers with multiple Teslas could have varying ratings for each of their cars. Lastly, Safety Scores should reset when a vehicle is sold, which means that a Tesla’s new owner should not be affected by the ratings of the previous driver. Drivers could also not carry over their Safety Scores from one vehicle if they purchase a new Tesla.
A full and extensive discussion of how Tesla’s Safety Scores work could be found here.
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Elon Musk
Elon Musk’s X will start using a Tesla-like software update strategy
The initiative seems designed to accelerate updates to the social media platform, while maintaining maximum transparency.
Elon Musk’s social media platform X will adopt a Tesla-esque approach to software updates for its algorithm.
The initiative seems designed to accelerate updates to the social media platform, while maintaining maximum transparency.
X’s updates to its updates
As per Musk in a post on X, the social media company will be making a new algorithm to determine what organic and advertising posts are recommended to users. These updates would then be repeated every four weeks.
“We will make the new 𝕏 algorithm, including all code used to determine what organic and advertising posts are recommended to users, open source in 7 days. This will be repeated every 4 weeks, with comprehensive developer notes, to help you understand what changed,” Musk wrote in his post.
The initiative somewhat mirrors Tesla’s over-the-air update model, where vehicle software is regularly refined and pushed to users with detailed release notes. This should allow users to better understand the details of X’s every update and foster a healthy feedback loop for the social media platform.
xAI and X
X, formerly Twitter, has been acquired by Elon Musk’s artificial intelligence startup, xAI last year. Since then, xAI has seen a rapid rise in valuation. Following the company’s the company’s upsized $20 billion Series E funding round, estimates now suggest that xAI is worth tens about $230 to $235 billion. That’s several times larger than Tesla when Elon Musk received his controversial 2018 CEO Performance Award.
As per xAI, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others. Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
News
Tesla FSD Supervised wins MotorTrend’s Best Driver Assistance Award
The decision marks a notable reversal for the publication from prior years, with judges citing major real-world improvements that pushed Tesla’s latest FSD software ahead of every competing ADAS system.
Tesla’s Full Self-Driving (Supervised) system has been named the best driver-assistance technology on the market, earning top honors at the 2026 MotorTrend Best Tech Awards.
The decision marks a notable reversal for the publication from prior years, with judges citing major real-world improvements that pushed Tesla’s latest FSD software ahead of every competing ADAS system. And it wasn’t even close.
MotorTrend reverses course
MotorTrend awarded Tesla FSD (Supervised) its 2026 Best Tech Driver Assistance title after extensive testing of the latest v14 software. The publication acknowledged that it had previously criticized earlier versions of FSD for erratic behavior and near-miss incidents, ultimately favoring rivals such as GM’s Super Cruise in earlier evaluations.
According to MotorTrend, the newest iteration of FSD resolved many of those shortcomings. Testers said v14 showed far smoother behavior in complex urban scenarios, including unprotected left turns, traffic circles, emergency vehicles, and dense city streets. While the system still requires constant driver supervision, judges concluded that no other advanced driver-assistance system currently matches its breadth of capability.
Unlike rival systems that rely on combinations of cameras, radar, lidar, and mapped highways, Tesla’s FSD operates using a camera-only approach and is capable of driving on city streets, rural roads, and freeways. MotorTrend stated that pure utility, the ability to handle nearly all road types, ultimately separated FSD from competitors like Ford BlueCruise, GM Super Cruise, and BMW’s Highway Assistant.
High cost and high capability
MotorTrend also addressed FSD’s pricing, which remains significantly higher than rival systems. Tesla currently charges $8,000 for a one-time purchase or $99 per month for a subscription, compared with far lower upfront and subscription costs from other automakers. The publication noted that the premium is justified given FSD’s unmatched scope and continuous software evolution.
Safety remained a central focus of the evaluation. While testers reported collision-free operation over thousands of miles, they noted ongoing concerns around FSD’s configurable driving modes, including options that allow aggressive driving and speeds beyond posted limits. MotorTrend emphasized that, like all Level 2 systems, FSD still depends on a fully attentive human driver at all times.
Despite those caveats, the publication concluded that Tesla’s rapid software progress fundamentally reshaped the competitive landscape. For drivers seeking the most capable hands-on driver-assistance system available today, MotorTrend concluded Tesla FSD (Supervised) now stands alone at the top.
News
Elon Musk’s Grokipedia surges to 5.6M articles, almost 79% of English Wikipedia
The explosive growth marks a major milestone for the AI-powered online encyclopedia, which was launched by Elon Musk’s xAI just months ago.
Elon Musk’s Grokipedia has grown to an impressive 5,615,201 articles as of today, closing in on 79% of the English Wikipedia’s current total of 7,119,376 articles.
The explosive growth marks a major milestone for the AI-powered online encyclopedia, which was launched by Elon Musk’s xAI just months ago. Needless to say, it would only be a matter of time before Grokipedia exceeds English Wikipedia in sheer volume.
Grokipedia’s rapid growth
xAI’s vision for Grokipedia emphasizes neutrality, while Grok’s reasoning capabilities allow for fast drafting and fact-checking. When Elon Musk announced the initiative in late September 2025, he noted that Grokipedia would be an improvement to Wikipedia because it would be designed to avoid bias.
At the time, Musk noted that Grokipedia “is a necessary step towards the xAI goal of understanding the Universe.”
Grokipedia was launched in late October, and while xAI was careful to list it only as Version 0.1 at the time, the online encyclopedia immediately earned praise. Wikipedia co-founder Larry Sanger highlighted the project’s innovative approach, noting how it leverages AI to fill knowledge gaps and enable rapid updates. Netizens also observed how Grokipedia tends to present articles in a more objective manner compared to Wikipedia, which is edited by humans.
Elon Musk’s ambitious plans
With 5,615,201 total articles, Grokipedia has now grown to almost 79% of English Wikipedia’s article base. This is incredibly quick, though Grokipedia remains text-only for now. xAI, for its part, has now updated the online encyclopedia’s iteration to v0.2.
Elon Musk has shared bold ideas for Grokipedia, including sending a record of the entire knowledge base to space as part of xAI’s mission to preserve and expand human understanding. At some point, Musk stated that Grokipedia will be renamed to Encyclopedia Galactica, and it will be sent to the cosmos.
“When Grokipedia is good enough (long way to go), we will change the name to Encyclopedia Galactica. It will be an open source distillation of all knowledge, including audio, images and video. Join xAI to help build the sci-fi version of the Library of Alexandria!” Musk wrote, adding in a later post that “Copies will be etched in stone and sent to the Moon, Mars and beyond. This time, it will not be lost.”

