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SpaceX shows off largest window in space after spectacular Inspiration4 launch

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SpaceX has revealed the first on-orbit view of the largest window every launched on a rocket – and provided an update on the status of its first private astronauts – after Wednesday night’s spectacular Inspiration4 launch.

Around 8:03 pm EDT on September 15th (00:03 UTC 16 Sept), Falcon 9 successfully lifted off from Kennedy Space Center, sending four private astronauts – the world’s first all-private crew on an orbital spacecraft – into low Earth orbit (LEO). In the 18 hours since, now twice-flown Crew Dragon spacecraft Resilience has successfully boosted its orbit from around 200 km (~120 mi) to around 580-590 km (360-365 mi) – the highest altitude ever reached by private astronauts and highest any human has traveled in approximately two decades (19 or 22 years).

Now safely in orbit on what’s expected to be a three-day journey in space, SpaceX also reports that Inspiration4 commander Jared Isaacman, pilot Sian Proctor, medical officer Haley Arceneaux, and specialist Christopher Sembroski are all “healthy, happy, and resting comfortably.” As early as this afternoon, the four private astronauts will wake up and potentially experience Crew Dragon’s cupola – the largest window by surface area ever flown to space or orbit – for the first time.

Following a spectacular post-sunset launch and a nearly five-hour webcast covering it, many have noted that SpaceX and Inspiration4 have practically gone silent after reaching orbit and that unlike Crew Dragon’s past three NASA astronaut launches, there has been no live coverage – and virtually no news at all – of the in-space cruise phase. It’s quite possible that one, several, or all of the four Inspiration4 crew members – all spaceflight rookies – are experiencing the common and uncomfortable “space adaptation syndrome,” referring to extreme nausea and discomfort as many as two-thirds of astronauts experience during their first hours or even days in microgravity.

If that’s the case, it would be no surprise that the crew might want privacy for the first 12-24+ hours and more generally to simply enjoy being in orbit – and higher than all but a few dozen humans have ever traveled – with some degree of peace. A great deal of photos and videos are still expected – but as part of Netflix’s Countdown documentary and only after the crew returns to Earth, rather than the live, immediate coverage SpaceX’s other Crew Dragon missions have had.

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Dragon’s cupola is the largest window ever flown to space. (SpaceX)

With another two days left in orbit, the Inspiration4 crew are scheduled to perform a few relatively minor experiments – mostly focused on health – but are mostly expected to simply enjoy being in space. Once they wake up and are able to open Dragon’s forward bulkhead hatch, they’ll get to experience the first-ever views out of the spacecraft’s cupola. A camera inside the nosecone cover will allow them to take some truly unique self-portraits with Earth, space, and even the Milky Way as backdrops – only really comparable to the occasional self-portraits taken by astronauts during spacewalks.

With any luck, SpaceX or Inspiration4 will share a few of those special photos later today. Barring on-the-fly changes, the four private astronauts are scheduled to return to Earth on Saturday evening. Stay tuned for further updates on the historic mission.

Inspiration4 launches into orbit. (Richard Angle)

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.

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Credit: Tesla China

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.

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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.

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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.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

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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.

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