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SpaceX may perfect reusable rockets in 2018: Evolution in the Falcons’ Nest
2017 has in almost every respect been an unrivaled halcyon year for SpaceX: over the course of its twelves months, SpaceX has returned to flight, begun reusing Falcon 9 boosters, and overall completed 18/18 successful launches and 15/15 first stage recoveries – five of which were commercial reuses of ‘flight-proven’ boosters. It is difficult to fathom how the year could have been more successful, aside from a slight hiccup with fairing manufacturing that may have prevented the launch company from racking up 20 or more missions in 2017.
And yet, despite the flooring and incontrovertible triumphs, I can state with confidence that, barring any serious anomalies, SpaceX’s 2018 docket will utterly eclipse 2017’s varied achievements. This series of articles will act as a sort of preview of SpaceX’s imminent future in 2018, each looking at what the new year may hold for the company’s three most fundamental pursuits: the Falcon rocket family, the Starlink satellite internet initiative, and its ambitions of interplanetary colonization.
Sooty Falcon 9 1035 before its second flight with an also-reused Dragon payload, CRS-13. (Tom Cross/Teslarati)
Falcon finds its wings
While 2015 and 2016 both saw their own hints of potential successes to come, 2017 is the first year that SpaceX managed a truly impressive launch cadence for Falcon 9 without a serious vehicle failure. Every 2017 launch flew on either a Block 3 or Block 4 iteration of Falcon 9 1.2. Esoteric model numbers aside, this simply means that Falcon 9’s design, manufacture, and operation are all maturing rapidly; SpaceX has clearly learned from the CRS-7 and Amos-6 failures and responded accordingly with a more cautious and tempered perspective.
From a historical perspective, it is extraordinarily impressive that Falcon 9 and Cargo Dragon have experienced such a tiny number of failures over their short but active existences. Both Falcon 9 and Dragon have experienced several miscellaneous teething issues and technical difficulties over their ~7 years of launches, but only three anomalies resulted in failures that catastrophically impacted customer payloads: CRS-1, CRS-7, and Amos-6. Thus, out of a total of 46 Falcon 9 launches, approximately 94% have been complete successes. For perspective SpaceX’s first orbital rocket, Falcon 1, experienced total failures during its first three launch attempts, for a success rate of 40%.
SpaceX’s Falcon family of rockets. (Wikipedia)
Barring further flight hardware anomalies in the Falcon family, however, 2018 is likely to be even more of a boon for Falcon 9 (and Falcon Heavy). While Falcon Heavy is set to ring in the new year sometime in January 2018, just a few weeks away, far more significant for SpaceX’s launch business is the debut of the “final” iteration of Falcon 9, dubbed Block 5 or ‘V5,’ likely within the next several months. Block 5 has been heavily modified almost entirely for the sake of more efficient reuse, and will feature titanium grid fins (most recently spotted on Falcon Heavy) and several other changes. Altogether, SpaceX’s public goal is to be able to reuse Falcon 9 Block 5 as many as a dozen times with relative ease, and each booster’s lifespan could potentially be lengthened by a factor of 5-10 with more extensive periodic maintenance.
For now, we only use those on super hot reentry missions. Will go to all Ti with Falcon 9 V5, which is a few months away.
— Elon Musk (@elonmusk) December 17, 2017
This ‘final’ version of Falcon 9 will almost undoubtedly go through its own period of tweaks, changes, and iterative improvements once it debuts and begins to gather flight experience. Nevertheless, it’s plausible that once its minor problems are ironed out, SpaceX will choose to “freeze” the design and begin to aggressively transfer large sections of its engineering and manufacturing base over to the company’s Mars rocket, BFR. Ultimately, the highly reusable Block 5 evolution of Falcon 9 will allow SpaceX to transfer over its customers to reused rockets and thus recoup the cost of reusability R&D far faster than ever before, both by lowering the material cost of launch and enabling a considerably higher frequency of launches.
This crop of Falcon Heavy shows off its side cores, both sporting titanium grid fins that are considerably larger than the original aluminum fins. (SpaceX)
Taken as a whole, the culmination of the Falcon family’s evolution will pave SpaceX’s path to realizing its even wilder ambitions of providing ubiquitous and superior satellite internet and transforming itself into the backbone of crew and cargo transport to the Moon, Mars, and beyond. But that’s a story for another day…
While we wish we could jump forward to the end of 2018 and reflect upon even more incredible SpaceX achievements, you can follow SpaceX’s day by day progress live with our launch photographer Tom Cross on Twitter and Instagram @Teslarati. Significant upcoming events include the ever-secretive launch of Zuma (7:57pm EST, January 4) and the inaugural static fire and launch of the titanic Falcon Heavy (no earlier than Jan. 6 and Jan. 15).
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
