The Ford Mustang Mach-E recently achieved a noteworthy milestone. Following an 840-mile trip in Great Britain that required only two short charging stops, the all-electric performance crossover was able to set the Guinness World Record for EV efficiency with an impressive average of 6.54 miles per kWh.
The Mustang Mach-E was driven by BBC transport correspondent Clifton, Fergal McGrath, and Kevin Brooker, all of whom are well-versed in efficiency-focused driving. The team started their trip on July 3, and they completed the 840-mile journey after 27 hours on the road. Two short charging sessions totaling just 45 minutes were done over the trip: one in BP Pulse station in Wigan, Lancashire, and another in Cullompton, Devon.
It should be noted that the team averaged a speed of only 31 mph during their journey, making the trip very similar to a hypermiling attempt. The team also utilized one of the Mustang Mach-E’s Extended Range variants, which features a single motor powering the rear wheels and an 88 kWh battery. The vehicle in question has a WLTP rating of 379 miles.
Following the journey, the team stated that the EV efficiency record was all about demonstrating that electric vehicles are now viable for everyone, and not just for short trips around the city either.
“This record is about demonstrating that electric cars are now viable for everyone. Not just for short urban trips to work or the shops or as a second car, but for real-world use on long cross-country journeys. We’ve proved that, with this car, the tipping point has been reached. The Ford Mustang Mach-E’s range and efficiency make it an everyday car for tackling unpredictable journey patterns. We did a full day’s testing totaling 250 miles and still had 45% battery charge on our return,” the team noted.
Tim Nicklin, Ford’s UK electrification manager, was proud of the Mach-E’s achievement, stating that the vehicle’s feat has proven that the all-electric performance crossover was a game-changer. “The Mustang Mach-E’s efficiency minimized charging along Britain’s longest route and proved itself as a game-changer,” Nicklin said.
“Ford’s own Go Electric report on consumer perceptions reveals that the average range which the public thinks a fully charged electric car can travel is under 150 miles. If the Mach-E can achieve well over three times that distance in the hands of professionals, it can easily deliver its official’ miles per tank’ to owners – and dispense with any previous range anxiety,” he added.
Considering that the Mach-E’s EV efficiency record was achieved in a hypermile-style trip, it would not be surprising if other EV groups end up challenging this record soon. Back in 2018, for example, Tesla owners Sean Mitchell and Erik Strait set a Tesla hypermiling record by driving a Tesla Model 3 for 606.2 miles on a single charge. The trip lasted 32 hours, with the duo averaging a speed of 20-35 mph. German car rental company nextmove also set a hypermile record in a Tesla Model S the same year, traveling a total of 701 miles on a single charge for over 30 straight hours at a speed of 23.6 mph.
*Quotes courtesy of Autocar UK.
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Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
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.
Tesla confirms that work on Dojo 3 has officially resumed
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
