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China completes test flight of new spacecraft that resembles SpaceX Crew Dragon
China’s new uncrewed spacecraft successfully landed back on Earth on Friday, May 8, following a three-day mission. It touched down intact with the help of a trio of parachutes, making landfall in the Chinese desert at 1:49 a.m. ET (0549 UTC). The Chinese space agency released photos soon after that showed a spacecraft resembling a toasty marshmallow.
If you think have you deja vu while looking at this image, you’re not wrong. The new Chinese spacecraft resembles another spacecraft that is soon to carry its first crew of astronauts into space. That’s right; it looks similar to SpaceX’s Dragon capsule.
The mission is one of the first steps the Chinese are taking to prepare for future lunar missions. The spacecraft launched atop a Long March 5B — China’s most powerful rocket. During the test, the spacecraft soared to an altitude of nearly 5,000 miles above the Earth. The trial, which was similar to the initial flight test of Orion that NASA completed in late 2014, was heralded as a success.
China has not revealed any detailed plans for its deep space ambitions, but we do have a rough idea of what the country and its space program hope to achieve. With the help of the Long March 5B, China aims to build its space station in low-Earth orbit sometime in the new few years.
It’s been rumored that this new spacecraft will probably play some sort of role in the development and maintenance of this future space station.
China also has big plans for the moon and even Mars. The China Aerospace and Technology Corp is building an even larger Dragon-like spacecraft that could one day transport taikonauts (Chinese astronauts) to the moon. Chinese officials have expressed their desires to build a lunar outpost in the future as well as eventually send humans on to Mars.
The country made history in 2019 when it became the first to land a rover on the far side of the moon. Ever since the Chang’e 4 lander along with its Yutu 2 rover have been beaming back incredible photos of the lunar surface as well as taking scientific measurements.
But China’s lunar plans do not stop there. Although specific details and dates are scarce, the country has mentioned the notion of lunar landing sometime in the 2030s.
If all goes as planned, this summer, NASA will not be the only space agency sending a rover to Mars. The UAE also has plans to send a spacecraft to the red planet. The Hope spacecraft will launch from Japan this summer and spend two years studying the Martian atmosphere.
NASA’s Perseverance Mars rover will also launch in July and is expected to touch down on the red planet’s surface in Feb. 2021,it a region is known as Jezero Crater. Once it arrives, it will search for signs of past life, while collecting samples of Martian rock and soil to send back to Earth at a later time.
China is also expected to launch a spacecraft to Mars this summer. The Chinese space agency recently revealed that this mission would be called “Tianwen 1,” which means the quest for heavenly truth. To date, only the U.S. and the former Soviet Union have landed spacecraft on Mars. However, both the European Space Agency and the Indian Space Research Organization (ISRO) have operational spacecraft orbiting the red planet.
The Chinese spacecraft will consist of three parts: an orbiter, a stationary lander, and a six-wheeled rover. Together the trio will study the Martian atmosphere, analyze the regolith and rocks, as well as try to better understand the Martian environment as a whole.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
