News
SpaceX’s mystery “Optimus Prime” drone ship robot spotted testing ahead of BulgariaSat-1 mission
Just a little over three months ago, in mid March, fans of SpaceX caught their first full glimpses of a mysterious robot aboard the drone ship Of Course I Still Love You (OCISLY) while it was docked in Port Canaveral, Florida.
Rapidly deemed “Roomba” and later heard to be internally nicknamed “Optimus Prime”, it was approximately 50 feet (15 meters) across at its widest point and appeared to be extremely heavy due to the way it was handled on the side of the docks, as well as the presence of tracks rather than wheels. The SpaceX community quickly came to the conclusion that it was some sort of robotic tool for remotely securing Falcon 9 first stages following landings aboard SpaceX’s drone ship fleet, as first stages had a tendency to rather precariously slide about drone ships in high seas.
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- Optimus Prime roving around OCISLY on June 13th. (Brady Kenniston/NASAspaceflight.com)
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- Optimus Prime captured by helicopter while conducting tests in March earlier this year. (Source: Reddit /u/riddlerthc)
This speculation was proven correct during a press conference following the successful launch of SES-10 and SpaceX’s first successful reuse; the Roomba/Optimus Prime was indeed a measure to more rapidly and safely secure first stages after landing aboard drone ships. The primary reason for this robot existing is to better ensure the safety of those working aboard active drone ships. Removing the requirement for people to be aboard a barge with an unsecured 50,000 kilogram rocket that has a tendency to explode violently after falling over.
The hallowed remains of the Falcon 9 that successfully launched Jason-3 but was somewhat less successfully recovered. (NASAspaceflight)
It is currently unclear whether the robot is intended to be a precaution only used in high seas or a tool to be used for every autonomous spaceport drone ship recovery. But the fact that it was seen conducting tests aboard OCISLY just a day before SpaceX’s static fire test for the upcoming launch of BulgariaSat-1 indicates that the upcoming launch may be the robot’s first truly operational test. It is also possible that SpaceX may simply choose to recover the stage and bring it back to port before conducting tests with the robot and an actual Falcon 9 S1 aboard OCISLY, with this latter option forcing less reliance upon a currently unproven (but nevertheless rather simple) technology.
Aside from the morally prescient goal of removing safety hazards for the Falcon 9 recovery crew, the ability to remotely secure Falcon 9 first stages will also avoid the time consuming practice of welding the landing legs and hydraulic jacks to the deck of the barge. This will likely remove hours of cautious procedures designed to protect those working aboard the barge once a stage has landed. As previously discussed on Teslarati, the possibility of weekly launches occurring from Cape Canaveral later this winter or sometime in 2018 gives SpaceX significant motivation to increase the availability of OCISLY, its only East coast-based drone ship.
A Falcon 9 S1 secured the old-fashioned way with leg shoes welded to the deck and hydraulic lifts to keep weight off the legs. (NASAspaceflight)
While the several days typically required to sail several hundred miles to the barges’ recovery destinations are not about to change, the ability to remotely secure recovered stages will both drastically improve the safety of the recovery crew and allow OCISLY to spend less time on station in the Atlantic, and thus more time back in port to offload its Falcon 9 payload and prepare for the next recovery.
For SpaceX’s goal of rapid reusability, every day and even every hour that can be removed from the process of launching, recovering, and relaunching is time that could theoretically be spent launching the payloads of paying customers, or launching SpaceX’s own payloads of revenue-producing broadband satellites and data-producing Red Dragons. As the saying goes, time is money.
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
