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SpaceX’s historic NASA astronaut launch debut on track for second attempt
Rather than making history on May 27th, SpaceX’s highest-profile launch ever – Crew Dragon’s NASA astronaut launch debut – was scrubbed just minutes before liftoff by stormy Florida weather. Unfortunately, conditions appear to be even less favorable on Saturday and Sunday backup windows.
Weather trended well, until it didn’t
The day began with launch fans growing increasingly concerned about a system of low-pressure off of Florida’s northeast coast that strengthened into tropical storm Bertha – the second named storm before the official start of the Atlantic basin hurricane season on June 1st. As the day progressed, Bertha became less of a worry for SpaceX recovery and emergency abort drop zones as it moved further north up the coast eventually making landfall in South Carolina. Then the thunderstorms began firing up.
Going into launch day launch weather officer, Mike McAleenan of the U.S. Space Force’s 45th Weather Squadron predicted a 60% chance of favorable launch weather conditions. That decreased slightly to 50% during the morning’s launch weather briefing. The 50/50 shot of Florida weather cooperating to get the launch off during the one-second long launch window opportunity remained the main concern for the rest of the day.
During the final thirty minutes of the countdown, many of the weather constraints that were holding up a green-light for launch from cleared up, but one last weather rule remained no-go. McAleenan stated over the internal weather communication loop during NASA’s live broadcast that if the launch window could’ve extended another 10 minutes, the weather would probably cooperate. This wasn’t the case, though. The launch attempt was ultimately aborted just 14 minutes shy of liftoff due to the “field mill” rule not clearing in time. The lightning field mill rule refers to a sophisticated electrical field system that spans the entire area of Kennedy Space Center and the surrounding area of Cape Canaveral responsible for continuously detecting the electrical charge of the atmosphere.
Protecting rockets from producing lightning
Rockets are not permitted to launch through an electrically charged atmosphere because of the possibility of what is called “triggered” lightning – lightning that is actually produced by a rocket bursting through an electrically charged atmosphere. Sending a rocket through an already unstable atmosphere can cause a disturbance, a lightning bolt, to be triggered. This phenomenon has the capability of being potentially dangerous for the rocket and, more importantly in this case, the occupants on board.
Demo-2, Round 2
Following a scrubbed first attempt, the 45th Weather Squadron released the L-3 (3 days until launch) forecast for the second attempt to send NASA astronauts Doug Hurley and Bob Behnken to the International Space Station. The prediction looked much like the one going into Wednesday’s attempt. On Thursday morning, May 28th, a new L-2 (2 days until launch) forecast was released showing very little change from the evening before.
SpaceX’s next attempt at a Demo-2 launch will occur on Saturday, May 30th, at 3:22:41pm EDT with another backup attempt scheduled for Sunday, May 31st at 3:00:07pm EDT. The outlook for the weather, however, looks much the same as it did for Wednesday. The 45th Weather Squadron is currently predicting only a 40% chance of favorable launching conditions on both days, and that’s just for the weather directly over LC-39A at the time of launch.
The 45th Weather Squadron does not predict other conditions that can determine a scrub of launch including upper-level atmospheric winds capable of completely sheering apart a rocket at altitude, or weather conditions for booster recovery and the recovery zones needed to rescue the Dragon capsule in the event of an emergency abort scenario. SpaceX has its own team of professionals that work in tandem with the 45th Weather Squadron to monitor the conditions of the recovery and abort zones. SpaceX takes things into consideration like wave height and patterns to determine whether or not conditions are appropriate enough for crews to perform any and all recovery operations that may be needed.
For Saturday’s attempt, the SpaceX Demo-2 will once again face the challenges of precipitation and dangerous lightning producing anvil and cumulus clouds. Expect launch day to look much like it did during the first attempt on Wednesday. SpaceX will need to thread one seriously precise needle to pull off the most historic rocket launch in company history.
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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
