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SpaceX, NASA make history ahead of schedule as astronauts reach space station
Less than 19 hours after liftoff and almost 10 minutes ahead of schedule, SpaceX has successfully docked NASA astronauts to the International Space Station (ISS) for the first time in history, officially returning that capability to the space agency after nearly nine years without it.
Demo-2’s docking marks the first time a privately-developed orbital-class spacecraft has launched, reached orbit, and docked with the space station with astronauts onboard, completing a major foundation and taking the biggest step yet towards SpaceX’s founding goal of sustainably expanding humanity into space. Perhaps even more importantly, the milestone marks the first time US astronauts have traveled to or from the ISS on a domestic vehicle since the Space Shuttle’s last launch and landing in July 2011.
Due to a combination of Congressional ineptitude, systematic underfunding, NASA mismanagement, and delays to Commercial Crew partners Boeing and SpaceX, that domestic access gap has lasted the better part of a decade. Now, if Crew Dragon continues to perform nominally in orbit and SpaceX’s Dragon and Falcon production and qualification continues apace, the company could proceed to its second astronaut launch and first operational NASA crew transport mission just a few months from now.

Impressively, Crew Dragon’s inaugural astronaut launch has gone off with no notable issues with the spacecraft or rocket. Aside from a lone Draco maneuvering thruster showing an out-of-family temperature sensor reading shortly after reaching orbit, no other glitches have been noted on NASA and SpaceX’s uninterrupted webcast.
In the last hour or two, however, SpaceX did call up to astronaut Bob Behnken to determine the cause of a spacesuit pressure reading slightly below nominal, although the ground controller made sure to clarify that the suit would have still done its job in the event of Crew Dragon cabin depressurization. By the sound of it, Bob observed a zipper tooth out of place on several seams, pointing to a fairly mundane source of the issue. More recently, NASA has been working to establish wired (“hard-line”) communications between the docked Crew Dragon spacecraft and the ISS without much luck, while “interference issues” were raised as a possible explanation. It’s unclear if the problem is deriving from Dragon or the ISS.





On the scale of human spaceflight, wired communications issues – while radio communications links remain strong and functional – are about as mild as they come. Bob and Doug remained in regular contact with NASA and SpaceX ground controllers and did their best to help troubleshoot the wired communication bugs while eating dinner and waiting patiently for NASA’s lone ISS crew member to complete the final steps before hatch opening.
During the webcast, SpaceX predicted that Crew Dragon’s hatch would be opened around 12:15 pm EDT (16:15 UTC), allowing Bob and Doug to board the International Space Station (ISS) and marking the full completion of the arrival half of the historic spacecraft’s astronaut launch debut. Tune in below to watch as NASA’s first Commercial Crew Program (CCP) astronauts prepare to open Crew Dragon’s hatch and complete their ISS arrival.
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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.