News
Tesla Model S Plaid racecar bares its fangs by overtaking hypercars in Laguna Seca
This weekend’s Hypercar Invitational at Laguna Seca was, for the most part, an opportunity for professional racecar driver Randy Pobst and Tesla tuning house Unplugged Performance to test out how their race-spec Model S Plaid performs on the track. The Model S Plaid did not disappoint, and it did not shy away from baring its fangs either. Over the course of the weekend, the modified four-door family sedan overtook some of the world’s most iconic hypercars around one of the world’s most iconic race tracks.
Unplugged Performance is no stranger to Teslas, having been a dedicated tuning house since the days of the Model S P85+. Pobst is no neophyte with Teslas either, finishing Pikes Peak’s Exhibition Class last year in second place in a Model 3 Performance that was rebuilt within days of a major crash. For both Unplugged and Pobst, however, the Model S Plaid, which would be used for this year’s Pikes Peak Hill Climb, proved to be a very pleasant surprise.
- Credit: Unplugged Performance/Twitter
- Credit: Unplugged Performance/Twitter
- Credit: Unplugged Performance/Twitter
The Model S Plaid racecar featured a stock powertrain from Tesla, though its interior was fully stripped out to save weight. A roll cage and a racing seat with six-point seatbelts were placed in the interior as well. Outside, the Model S Plaid was fitted with a massive adjustable rear wing. The vehicle also retained its factory air springs, though it used custom Unplugged Performance/Bilstein dampers and a three-way adjustable rear anti-roll bar. The car also rode on Yokohama Advan slick tires on forged aluminum wheels.
https://twitter.com/TeslaRep/status/1403913191311101956?s=20
Ultimately, the Model S Plaid did not only prove that it was worthy of being on the same track as hypercars like the McLaren P1 and the McLaren Senna; the family sedan showed that it could actually dominate its internal combustion-powered counterparts. This was shown in a video shared online, which featured the Model S Plaid casually overtaking the McLaren Senna and P1 with ease. Later comments from the driver of the McLaren P1 noted that the Model S Plaid was so fast, it almost felt like the other vehicles were standing still.
Watch the plaid model s take over all the cars that lead it initially. It’s a beast on the track. @elonmusk 📸@omg_tesla cc @UnpluggedTesla @RandyPobst @FromWhereICHG pic.twitter.com/gjw1Q4v5Wq
— Tesla Owners Silicon Valley (@teslaownersSV) June 13, 2021
But perhaps the most notable observation from both Unplugged and Pobst was just how well the Model S Plaid maintained its power during its laps. At one point, Pobst remarked that the Model S Plaid, which only had 34% charge remaining then, felt just as quick as it did when it still had a full charge. In a statement to Teslarati, Unplugged Performance CEO Ben Schaffer added that the Model S Plaid’s capability to maintain its power despite its battery charge was incredibly impressive.
“With every generation of Tesla, we’ve experienced significant progress in sustainable power delivery and thermal capacity. In simple terms, this means your can drive faster (and) longer. The new Model S Plaid continues this trajectory of improvement, and during our shakedown runs, the car illustrated almost no perceptible power loss as the battery state of charge decreased. Our driver Randy Pobst said the car felt just as fast at 35% SOC as at 100%,” he said.
The Tesla Model S Plaid is poised to take on the Pikes Peak Hill Climb later this year.
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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.


