News
SpaceX’s Cargo Dragon spacecraft nears space station with 2.5 tons of cargo
Following a successful May 4th launch atop Falcon 9, SpaceX’s latest Cargo Dragon spacecraft is just a few hours away from starting its International Space Station (ISS) berthing sequence.
Scheduled to begin around 5:30 am EDT (09:30 UTC), SpaceX operations staff will command Dragon to continue a cautious ISS approach. Several hours later, the spacecraft will be quite literally grabbed by station astronauts and gently berthed with one of the space station’s several Common Berthing Mechanism (CBM) ports. Once Cargo Dragon has been safely joined with the ISS, the station’s crew of astronauts can begin the intensive process of unpacking more than 1500 kg (3300 lb) of pressurized cargo, including dozens of time-sensitive and complex science experiments.
Aside from the 1.5 tons of cargo contained inside Dragon’s climate-controlled cabin, ISS astronauts and ground-based NASA controllers will again use the space station’s robotic Canadarm2 manipulator to extract two large unpressurized payloads from Dragon’s trunk. The ‘flagship’ instrument of CRS-17 is NASA’s Orbiting Carbon Observatory-3 (OCO-3), an upgraded follow-on to OCO-2 that should dramatically improve the quantity and quality of data available on the distribution of carbon in the Earth’s atmosphere. The second trunk-stashed payload is known as STP-H6 and is carrying around half a dozen distinct experiments.
Both STP-H6 and OCO-3 will be installed on the outside of the space station with the help of Canadarm2, an extremely useful capability that limits the need for astronauts to suit up and perform risky and time-consuming EVAs (extra-vehicular activities) outside the ISS. With its trunk emptied, Cargo Dragon will eventually discard the section to burn up in Earth’s atmosphere just before the reusable capsule begins its own reentry.
Unlike several other spacecraft with service sections, both proposed, flying, or retired, SpaceX’s Dragon spacecraft strive to minimize the complexity and cost of their expendable service sections. For both Cargo and Crew Dragon, the trunk serves as a structural adapter for unpressurized payloads and the Falcon-Dragon interface, hosts solar arrays and radiators, and doesn’t do much else. All propulsion, plumbing, and major avionics are kept within the capsule to maximize reusability.
Defining “slow and steady”
The process of berthing or docking with the ISS is a fundamentally cautious thing, developed by NASA, Roscosmos, and other international partners through forced and painful trial and error. In short, the road to today’s cautious procedures has been paved with countless failures and close calls over decades of space activity. For Cargo Dragon, the process involves berthing, more passive and less complex than docking. Outside of a dozen or so meters, the processes begin quite similarly. Cargo Dragon (Dragon 1) will very slowly approach the station’s several-hundred-meter keep out zone, typically no faster than a few m/s (mph).
Then follows a back-and-forth process of stop and go, in which SpaceX commands Dragon forward, halts at set locations, verifies performance and station readiness with NASA, and repeat. Once within 10 or so meters of the ISS, Dragon will begin carefully stationkeeping, essentially a version of formation flying without a hint of aerodynamic forces. ISS astronauts will then command the Canadarm2 robotic arm toward a sort of target/handle combo located on the spacecraft. The arm follows similar stop-start procedures before finally grappling Dragon, at which point the astronauts in command are legally required (/s) to quip something along the lines of “We’ve caught ourselves a Dragon!”
From start to finish, the process takes about 1.5 hours under optimal conditions. Around 2.5 hours after that, Canadarm2 will physically berth Dragon with one of several ISS berthing ports. Soon after, station astronauts can open Dragon’s hatch, snag some fresh goodies, and begin the unpacking process. CRS-17’s ISS arrival operations will be covered live on NASA TV.
Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.
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
