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NASA funds study on SpaceX BFR as option for massive space telescope launch
Speaking at the Exoplanets II conference in Cambridge, UK July 6th, geophysicist and exoplanet hunter Dr. Debra Fischer briefly revealed that NASA had funded a study that would examine SpaceX’s next-gen BFR rocket as an option for launching LUVOIR, a massive space telescope expected to take the reigns of exoplanet research in the 2030s.
Conceptualized to follow in the footsteps of NASA’s current space telescope expertise and (hopefully) to learn from the many various mistakes made by their contractors, the LUVOIR (shorthand for Large UV/Optical/IR Surveyor) concept is currently grouped into two different categories, A and B. A is a full-scale, uncompromised telescope with an unfathomably vast 15-meter primary mirror and a sunshade with an area anywhere from 5000 to 20000 square meters (1-4 acres). B is a comparatively watered-down take on the broadband surveyor telescope, with a much smaller 8-meter primary mirror, likely accompanied by a similarly reduced sunshade (and price tag, presumably).
Debra Fischer: NASA is funding study on launching LUVOIR with SpaceX's BFR.
Primary option still SLS Block 2, but if it isn't ready there are private sector alternatives.#Exoplanets2
— Ryan MacDonald (@MartianColonist) July 6, 2018
Remember, this is a space telescope that would need to fit into the payload fairing of a rocket, survive the launch into orbit, and then journey nearly one million miles from Earth to its final operational destination, all before deploying a mirror and starshade as large or larger than Mr Steven’s SpaceX fairing recovery net. The James Webb Space Telescope (JWST), a rough successor to Hubble with a 6.5-meter primary mirror, is the only space telescope even remotely comparable to LUVOIR, and it has yet to launch after suffering a full decade of delays and almost inconceivable budget overruns. All we can do is hope that Northrop Grumman (primary contractor for JWST) is kept away from future giant space telescopes like LUVOIR.
LUVOIR A is pictured here with a 15-meter mirror and absolutely vast sunshade, roughly 80-100m long. (NASA)
The rocket problem
Nevertheless, the sheer scale of LUVOIR brings us back to an existential problem faced by all space telescopes – how to get into space in the first place. In this case, JWST offers a small taste of what launching such a large telescope requires, although it only truly applies the 8m LUVOIR B. The reason LUVOIR’s conceptual design was split into two sizes is specifically tied to the question of launch, with LUVOIR B’s 8m size cap dictated by the ~5 meter-diameter payload fairings prevalent and readily available in today’s launch industry.
https://twitter.com/Shamrocketeer/status/821799890942652417
LUVOIR A’s 15-meter mirror, however, would require an equally massive payload fairing. At least at the start, LUVOIR A was conceptualized with NASA’s Space Launch System (SLS) Block 2 as the launch vehicle, a similarly conceptual vehicle baselined with a truly massive 8.4 or 10-meter diameter payload fairing, much larger than anything flown to this day. However, the utterly unimpressive schedule performance of the SLS Block 1 development – let alone Block 1B or 2 – has undoubtedly sown more than a little doubt over the expectation of its availability for launching LUVOIR and other huge spacecraft. As a result, NASA has reportedly funded the exploration of alternative launch vehicles for the A version of LUVOIR – SpaceX’s Cargo BFR variant, in this case.
While only a maximum of 9 meters in diameter, the baselined cargo spaceship’s (BFS Cargo) payload bay has been estimated to have a usable volume of approximately 1500 cubic meters, comparing favorably to SLS’ 8.4 and 10-meter fairings with ~1000 to ~1700 cubic meters. The more traditional SLS fairing may offer more flexibility for minimizing complex deployment mechanisms for large telescopes (a sore spot for JWST), but SLS Block 2 is almost entirely up in the air at the moment, and liable to cost $5-10 billion alone to develop even after SLS Block 1 is flying (NET mid-2020). On the other hand, barring abject and total failure, SpaceX’s BFR rocket and spaceship could have many, many launches under its belt and a proven track record of reliability, whereas SLS Block 2 is unlikely to fly more than a handful of times ever, even if it gets built.
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- NASA/Boeing’s SLS overview, showing the different Blocks planned. Currently Block 1’s first launch is NET mid-2020, while future variants are likely years away from launch. (NASA)
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- The cargo version of the BFS (Big F- Spaceship) rendered by David Romax, including a number of educated guesses at what it might look like and how it might function. At the request of a friend, artist David Romax put together a truly jaw-dropping collection of concept art featuring SpaceX’s BFR rocket and its Cargo and Crew spaceships. (Gravitation Innovation/David Romax)
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- BFR prepares for launch as the sun sets over the upgraded LC-39A, built off a concept of the future modifications included in SpaceX’s 2016 and 2017 video updates. At the request of a friend, artist David Romax put together a truly jaw-dropping collection of concept art featuring SpaceX’s BFR rocket and its Cargo and Crew spaceships. (Gravitation Innovation/David Romax)
With any luck, the results of the LUVOIR SpaceX BFR launch analysis will make their way into the public sphere once the study is completed, perhaps revealing a few tidbits about the capabilities of the next-generation composite rocket. Another astrophysicist familiar with the project also noted that Blue Origin was firmly in the running of similar conceptual launch studies, hinting at a potential competition for commercial launches of each company’s massive future rockets.
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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.”
News
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
