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Tesla rolls out latest FSD version, shares upcoming HW3 deployment plans

Credit: Teslatino | YouTube

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Tesla has begun rolling out its latest version of Full Self-Driving (FSD) Supervised this week to those with its most recent computer hardware, along with providing an update on when those with older FSD computers can expect new updates.

While Tesla began rolling out its FSD Supervised v13 a couple of weeks ago, the company has begun a wider rollout of its latest version, FSD Supervised v13.2.1, to those with Hardware 4 (HW4), or AI4, computers, as confirmed by Autopilot program lead Ashok Elluswamy on X on Monday.

Those with Hardware 3 (HW3)—often called AI3 after Elon Musk dubbed upcoming the FSD computers with AI rather than HW during this year’s Shareholder Meeting—are also set to get a new version before the end of the year, according to Elluswamy.

“FSD v13.2.1 is now rolling out wide to AI4 customers! That plus the holiday vehicle software update is coming within a week,” he wrote. “Team’s working on a much updated v12.6 for AI3 customers by end of this year.”

READ MORE ON TESLA’S FSD SUPERVISED: Tesla is working on new parking features for Full Self-Driving

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The news comes as many Tesla owners with older vehicles have criticized the company for rolling out new, well-performing FSD Supervised versions only to those with newer vehicles and internal computers, with Elluswamy’s response highlighting that the company is still debuting new versions for those with the older hardware.

Although Musk also said during the meeting that there was a slight chance that Unsupervised FSD may never be able to run on AI3 vehicles, he emphasized that, if that were the case, Tesla would upgrade AI3 vehicles whose owners purchased FSD. The Tesla CEO has also said that AI5 is expected to be used in Optimus and all newly produced cars by the end of 2025.

Initial reviews of Tesla’s FSD Supervised v13

Tesla’s FSD Supervised v13.2.1 follows the debut of v13 and v13.2, which have been garnering positive reviews since the initial version was first launched just weeks ago. In addition to going from park-to-park in the v13 suite, the software has been spotted navigating some tricky situations that past versions didn’t seem to be capable of handling.

Early reviews of FSD Supervised v13.2.1 have been similar, with some sharing video of their cars avoiding road obstacles, cautiously navigating around other vehicles making traffic violations, and more while using the software. You can see one particular review below, courtesy of X user Greggertruck, who was using the software while driving his Cybertruck.

Tesla has been rolling out Cybertruck FSD updates at slightly different times than for most other AI4 vehicles, and the recent release of v13.2.1 also came with slightly different release notes than those seen in Model Y and other vehicles.

For one, the release notes don’t include the integrated unpark, reverse, and park capabilities that make the version go from “park-to-park.” Additionally, it doesn’t feature the highly anticipated Actually Smart Summon, which is expected to come with a future update.

You can watch more footage of early FSD Supervised v13.2.1 experiences below from Teslatino, who uses the software to drive to the Post Office in his Cybertruck.

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What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

Tesla highlights FSD safety in edge case test videos

Zach is a renewable energy reporter who has been covering electric vehicles since 2020. He grew up in Fremont, California, and he currently lives in Colorado. His work has appeared in the Chicago Tribune, KRON4 San Francisco, FOX31 Denver, InsideEVs, CleanTechnica, and many other publications. When he isn't covering Tesla or other EV companies, you can find him writing and performing music, drinking a good cup of coffee, or hanging out with his cats, Banks and Freddie. Reach out at zach@teslarati.com, find him on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

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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.

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Credit: xAI

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.

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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.

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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.

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Credit: Tesla

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.

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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.

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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.

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Credit: ANCAP

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.

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“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.

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