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SpaceX’s Elon Musk: odds of Starship reaching orbit by 2020 are “rising rapidly”
SpaceX CEO Elon Musk has suggested that the company’s newly revamped Starship and Super Heavy rocket (previously known as BFR) could perform its first integrated launches – placing Starship into orbit – as few as 12-24 months from today.
Musk indicated that the odds of Starship reaching orbit as early as 2020 are now as high as “60% [and] rising rapidly”, thanks in no small part to the flurry of radical changes the spacecraft and booster have both undergone over the course of 2018.
Probability at 60% & rising rapidly due to new architecture
— Elon Musk (@elonmusk) December 27, 2018
Combined with a decision – made public at a September 2018 media event – to delay the debut of a vacuum-optimized upper stage Raptor (RVac) and stick with its mature sea level variant, Musk apparently is quite confident that these dramatic shifts in strategy will allow SpaceX to aggressively slash the development schedules of its next-gen launch vehicle. Intriguingly, Musk noted that while these “radical” design changes were almost entirely motivated by his desire to expedite the fully-reusable rocket’s operational debut, it apparently became clear that the cheaper, faster, and easier iteration could actually end up being (in Musk’s own words) “dramatically better” than its exotic carbon-composite progenitor.
Time. Although it also turned out to be dramatically better.
— Elon Musk (@elonmusk) December 27, 2018

“Delightfully counter-intuitive”
Let there be little doubt – I am still immensely skeptical of this radical redesign and the implausible logistics of conducting said redesign at the last second while somehow maintaining the test schedule, let alone expediting it by 6-9 months. Despite the fact that Musk does seem to have a compellingly rational answer to every question thus far asked, he was no less convincing in mid-2016 when he stated with contagious conviction that Tesla’s Fremont factory would be an almost 100%-automated “alien dreadnought” as early as 2018. There is, of course, nothing wrong per se with being wrong, although taking 24 months and several hundred million dollars to realize as much can be downright fatal or at least a major health risk for any given company that faces such a challenge, as was the case with Tesla.
Skepticism aside, there are equally many reasons to be optimistic about the future of SpaceX’s Starship/Super Heavy (BFR) program over the next several years. Not only do metal hot structures have a proven track record of success (admittedly in the 1960s and for suborbital conditions, but still), but the century and a half humans have been making and building with steel serves to aggressively reduce risk in BFR’s development, whereas a giant, highly-reusable spaceship and rocket built mainly out of carbon composites is about as exotic, challenging, and alien as one could muster. One step further, Musk appears to be dead-set on the trade that the benefits of moving from composite to stainless steel far, far outweigh the costs.
- BFS/Starship shows off some of its heat shield. SpaceX may be looking into an advanced NASA solution for BFR’s thermal protection system. (SpaceX)
- Starship is shown here reentering Mars’ atmosphere at high speeds (SpaceX)
- Starship – in its 2018 design iteration – seen landing on Mars atop pillars of Raptor flame. (SpaceX)
- SpaceX CEO Elon Musk visited the South Texas site where Starship’s first prototype is being built on December 23rd. (Elon Musk)
- Starship… or BFWTF? 🙂 (NASASpaceflight /u/bocachicagal)
Most notably, Musk’s implication that a steel alloy skin – albeit with regenerative (i.e. liquid) cooling – could genuinely stand in for SpaceX’s ablative PICA-X heat shield technology on Starship was the most unintuitive but logical shift yet. Although steel alloys may literally have densities that are significantly higher than carbon composites, composites simply cannot (at least in the current state of the art) withstand high temperatures like those that Starship would inevitably experience during orbital and interplanetary reentries. As a result, Starship would need an extremely advanced heat shield technology that is minimally ablative, extremely lightweight, robust, and shock-resistant, not to mention an additional layer capable of mounting it to Starship’s composite hull while also insulating the propellant tanks and structure from the extreme heat of reentry.
Leeward side needs nothing, windward side will be activity cooled with residual (cryo) liquid methane, so will appear liquid silver even on hot side
— Elon Musk (@elonmusk) December 25, 2018
Steel, on the other hand, is one of the least thermally conductive metals available, while also featuring alloys with melting points that can approach and even surpass 1500 degrees C. With regenerative cooling, it’s entirely possible that a hot steel shield and fusion of propellant tanks and load-bearing structures could ultimately result in a spaceship far more reusable, reliable, and perhaps even performant that a spaceship relying on exotic heat shield materials and linerless carbon composite propellant tanks.
Perhaps BFR Block 2 or 3 will make room for dramatically improved composite formulations and production methods down the road, but advanced steel and other metal alloys appear to be the way forward for SpaceX for the time being. For now, we can sit, watch, and wait as something comes together at the company’s South Texas test and launch facilities.
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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.




