News
Tesla starts disabling FSD Beta’s “rolling stop” feature with V10.10 update
Just as indicated in the National Highway Traffic Safety Administration’s (NHTSA) Safety Recall Report, Tesla has started rolling out an over-the-air software update that removes FSD Beta’s ability to perform “rolling stops.” The function was deemed by the NHTSA as a driving behavior that may increase the risk of collisions.
Images of FSD Beta 10.10’s release notes were recently shared online, hinting that the company is now actively addressing the issue outlined in the recent recall. It remains to be seen how long it would take Tesla to update its FSD Beta fleet to the new v10.10 software, especially since there are now nearly 60,000 drivers who are part of the early access program.
Following are the release notes of FSD Beta 10.10.
Early Access Program – FSD Beta 10.10
– Smoother fork maneuvers and turn-lane selection using high fidelity trajectory primitives.
– Disabled rolling-stop functionality in all FSD Profiles. This behavior used to allow the vehicle to roll through all-way-stop intersections, but only when several conditions were met, including: vehicle speed less than 5.6 mph, no relevant objects/pedestrians/bicyclists detected, sufficient visibility and all entering roads at the intersection have speed limits below 30 mph.
– Improved generalized static object network by 4% using improved ground truth trajectories.
– Improved smoothness when stopping for crossing objects at intersections by modeling soft and hard constraints to better represent urgency of the slowdown.
– Enabled lane changing into an oncoming lane to maneuver around static obstacles, when safe to do so.
– Improved smoothness for merge handling by enforcing more consistency with previous cycle’s speed control decisions.
– Improved handling of flashing red light traffic controls by adding more caution for events where crossing vehicles may not stop.
– Improved right of way understanding at intersections with better modeling of intersection extents.
A look at FSD Beta 10.10’s release notes suggests that Tesla’s “rolling stop” feature was not really as aggressive or dangerous as initially feared by critics. As noted by the company, FSD Beta’s “rolling stops” are only enabled when several conditions are met, and those conditions are fairly conservative. Tesla’s FSD Beta safety record would support this thesis, as the company noted in the NHTSA’s Safety Recall Report that it was not aware or any warranty claims, field reports, crashes, injuries, or fatalities that resulted from the advanced driver-assist system’s “rolling stop” function. “As of January 27, 2022, Tesla is not aware of any warranty claims, field reports, crashes, injuries or fatalities related to this condition,” the NHTSA’s report read.
While the removal of FSD Beta’s “rolling stop” feature was considered a recall of over 53,000 Teslas, the fact remains that the issue was completely addressed through a simple over-the-air update. Owners whose vehicles were part of the recall were also not required to do anything specific except to ensure that their vehicles were connected to the internet. This was something that was highlighted in the remedy for the issue indicated in the NHTSA’s Safety Recall Report.
“Tesla will disable the ‘rolling stop’ functionality on affected vehicles, starting with firmware release 2021.44.30.15. Firmware release 2021.44.30.15 is expected to begin deployment OTA to affected vehicles in early February 2022. The disablement will carry forward in firmware release 2021.44.30.15 and later releases. No further action is necessary from owners who install firmware release 2021.44.30.15 or a later release on their vehicles,” the NHTSA’s Safety Recall Report read.
Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
News
Tesla Model Y and Model 3 named safest vehicles tested by ANCAP in 2025
According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025.
The Tesla Model Y recorded the highest overall safety score of any vehicle tested by ANCAP in 2025. The Tesla Model 3 also delivered strong results, reinforcing the automaker’s safety leadership in Australia and New Zealand.
According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025. ANCAP’s 2025 tests evaluated vehicles across four key pillars: Adult Occupant Protection, Child Occupant Protection, Vulnerable Road User Protection, and Safety Assist technologies.
The Model Y posted consistently strong results in all four categories, distinguishing itself through a system-based safety approach that combines structural crash protection with advanced driver-assistance features such as autonomous emergency braking, lane support, and driver monitoring.
This marked the second time the Model Y has topped ANCAP’s annual safety rankings. The Model Y’s previous version was also ANCAP’s top performer in 2022.
The Tesla Model 3 also delivered a strong performance in ANCAP’s 2025 tests, contributing to Tesla’s broader safety presence across segments. Similar to the Model Y, the Model 3 also earned impressive scores across the ANCAP’s four pillars. This made the vehicle the top performer in the Medium Car category.
ANCAP Chief Executive Officer Carla Hoorweg stated that the results highlight a growing industry shift toward integrated safety design, with improvements in technologies such as autonomous emergency braking and lane support translating into meaningful real-world protection.
“ANCAP’s testing continues to reinforce a clear message: the safest vehicles are those designed with safety as a system, not a checklist. The top performers this year delivered consistent results across physical crash protection, crash avoidance and vulnerable road user safety, rather than relying on strength in a single area.
“We are also seeing increasing alignment between ANCAP’s test requirements and the safety technologies that genuinely matter on Australian and New Zealand roads. Improvements in autonomous emergency braking, lane support, and driver monitoring systems are translating into more robust protection,” Hoorweg said.
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
