News
iRobot is going outdoors with an autonomous Roomba lawn mower with smart mapping tech
Mowing the lawn can quickly get in the way of summer fun, just like vacuuming and mopping interfere with just about anything else you might rather be doing. Never fear, iRobot, the company that brought you the Roomba robotic vacuum cleaner and Braava electronic mop, has been listening. Yesterday, the robotic chore solution company announced its launch of Terra, an intelligent lawn mower ready to do your outdoor bidding. According to iRobot’s press release, it will be on sale in Germany and the US, the latter being through a beta program only; however, no exact release date has been provided.
To accomplish its yard travels, iRobot’s Imprint Smart Mapping technology, which is arguably one of the features that made Roomba so popular, has been incorporated into Terra’s functionality. The new grass buster also has some other convenience features in common with its indoor cousins: It recharges on its own by returning to a docking base and can be controlled via an app on either a smartphone or digital assistant. For its more unique features, Terra’s designers relied on the current masters of lawn care for inspiration: humans.
Rather than follow any sort of random get-it-done movement path a Roomba might follow to clean a floor, Terra has a preprogrammed pattern modeled after the straight, back-and-forth lines typically used for mowing. If the battery is running low, the robot returns to its base to recharge, picking up where it left off until its task is complete. The grass cut length is also programmable for heights of about 1″ to about 2.5″, but it should be noted that Terra’s function focus being on maintenance over heavy cut jobs.
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- The new iRobot Terra robotic lawn mower. | Credit: iRobot Corp.
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- The new iRobot Terra robotic lawn mower during install. | Credit: iRobot Corp.
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- Beacons used when installing iRobot’s Terra robot lawn mower. | Credit: iRobot Corp.
The weather isn’t lost on this outdoor helper, either. Terra has been designed with rugged features so that rainy conditions – and by extension, tough terrain – will not prevent it from doing its job. As for grass clippings? There aren’t any or at least any that need to be hauled off to the trash like classic lawn mowers. Sliced blades of grass are refined into tiny mulch bits that double as fertilizer.
Of course, iRobot isn’t the first company to venture into automated lawn maintenance solutions. Swedish manufacturer Husqvarna’s Automower robotically maintains lawns using frequent trips around a programmed area, naturally fertilizes soil with miniscule clippings, mows any time of day and in inclement weather, resists theft with a built-in alarm, and is controlled via app using smartphone or digital assistant. It uses an installed boundary line for yard area detection, however, making set-up more complicated than regular operation. German outdoor product manufacturer GARDENA and Wisconsin-based McCullough Motors have their own lawn robots as well – the SILENO and ROB R1000, respectively, with similar features as well as a required boundary line.
After a survey of the lawn robot market, iRobot took aim to eliminate costly and labor-intensive ground wiring which is required to operate other auto mowers. For Terra, the company developed a wireless communications system incorporating standalone beacons, enabling users to simply program their lawn’s boundary line after placing the beacons around their yard. The intelligent detection software developed by iRobot for its other robotic household helpers combined with a simpler installation process may just give the company an edge over its established competitors in the lawn bot arena.
Read iRobot’s full Terra Press Release.
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
