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SpaceX, NASA batten down the hatches as another storm approaches Florida
SpaceX, NASA, and the rest of the Kennedy Space Center (KSC) and Cape Canaveral Space Force Station (CCSFS) are doing what they can to prepare for Tropical Storm Nicole’s imminent arrival.
The somewhat unexpected storm grew quickly in recent days and has become a system that could at least partially threaten the Space Coast and its tenants. After the likelihood of favorable weather conditions dropped to just 20% on November 7th, SpaceX announced later the same day that it would delay its next Falcon 9 launch from November 8th to no earlier than (NET) November 12th. Increasingly tight scheduling of one of SpaceX’s two Florida pads will likely trigger delays for at least two or three more November launches, magnifying the storm’s immediate impact.
In comparison, the situation facing NASA could become more serious. On November 4th, for the fourth time since April 2022, NASA rolled its first Space Launch System (SLS) rocket to KSC’s LC-39B pad for a third launch attempt. Due to a combination of the storm’s quick growth and the nature of the SLS rocket, the design of which was dictated more by political expediency than rational engineering, the agency was reluctant to roll the rocket back to shelter. By the time it was clear that Nicole would impact Cape Canaveral, it was too late for NASA to complete the multi-day rollback process.
In late September, Hurricane Ian created a similar situation. The threat of the tail-end of the storm bringing winds higher than the SLS rocket is rated to survive forced NASA to abandon a third launch attempt and instead roll SLS back to the Vehicle Assembly Building (VAB), which is rated to survive even a Category 5 hurricane. According to NASA, SLS is designed to withstand wind gusts as high as 137 km/h (85 mph). Even then, some senior officials were brazenly reluctant to stand down. Every round trip to and from the VAB guarantees weeks of delays before the next possible launch attempt. Additionally, while NASA has refused to offer more context, each crawler ride seemingly takes a toll on the SLS rocket, meaning that the vehicle can only handle a limited number of rollbacks before unspecified issues begin to arise.
As a result, even though high winds could apparently damage the first SLS rocket and orbit-capable Orion spacecraft, which represent 10-15 years of work and would cost a minimum of $4.1 billion to replace, NASA was nearly willing to play chicken with a hurricane. Ultimately, someone in the agency saw reason and took the threat seriously enough to return the rocket to the safety of the VAB. But just six weeks later, with no evidence that NASA seriously considered a rollback before it was too late, SLS is stuck at Pad 39B while an increasingly threatening tropical storm – verging on a Category 1 hurricane – approaches the Space Coast.
Because the rollback process (which takes about a day) requires days of preparation, NASA would have had to decide to return SLS to the VAB days in advance. Instead, even though NASA was already aware that a storm system was developing, the agency decided to roll the rocket out of the VAB to LC-39B late on November 3rd. Had NASA merely delayed rollout by a few days to allow forecasts of the storm system to become more confident, it’s unlikely that it would have moved forward with its rollout plans as the storm’s predicted impact worsened.
When Hurricane Ian threatened KSC, NASA decided to roll SLS back to the VAB after the odds of sustained hurricane-force winds grew to 6%. That makes NASA’s decision to roll SLS to the pad when it had a forecast showing a 4% chance of similar winds even stranger.
SLS will be forced to weather the storm while sitting unprotected at the launch pad. As of November 7th, NOAA models predicted a 7% chance of hurricane-force winds at Kennedy Space Center. The odds increased to 15% 12 hours later – briefly equivalent to Russian roulette. The latest forecast has dropped to a 10% chance of sustained wind speeds of 120 km/h (75 mph) or higher. It’s unclear what the SLS rocket’s tolerance for sustained winds is, but it’s likely lower than its tolerance for gusts of up to 85 mph.
With any luck, Nicole will fall on the right side of NASA’s gamble. In the meantime, to “provide sufficient logistical time to get back into launch status following the storm,” NASA has delayed its third SLS launch attempt from November 14th to November 16th. The bulk of Nicole’s impact will begin to be felt at KSC as early as November 9th and should last for several days.
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
