News
Elon Musk reveals ambitious SpaceX Starship plans for Mars missions
Elon Musk revealed more details about SpaceX’s ambitious plans to send Starship to Mars in the coming years, an expansion on previous goals the CEO spoke about just a few weeks ago.
Musk believes SpaceX will begin sending Starship to Mars in just two years when the next Earth-Mars transfer window opens. These initial flights will be unmanned, Musk explained, and will first take off in 2026.
SpaceX will attempt to take humans to Mars for the first time in 2028. After the first launches, Musk believes the number of trips from Earth to Mars will “grow exponentially from there.”
The SpaceX and Tesla frontman first detailed these plans in Early September, but it is no secret that regulatory hurdles have been a newfound issue, delaying several Starship test flights that the company is ready to take.
Nevertheless, Musk still is in the process of coming up with a dedicated plan, and revealed more details in a post on X yesterday:
“SpaceX plans to launch about five uncrewed Starships to Mars in two years. If those all land safely, then crewed missions are possible in four years. If we encounter challenges, then the crewed missions will be postponed another two years.”
Musk also detailed the time restrictions that come from the Earth-Mars transfer window once again, which “increases the difficulty of the task, but also serves to immunize Mars from many catastrophic events on Earth.”
Musk is, without a doubt, priming the future Starship missions to be groundbreaking and setting the precedent that the timelines will push the limit and be very optimistic.
However, later in the post, he said there are concerns, and they relate to regulatory hurdles, like the ones SpaceX detailed in a lengthy blog post earlier this month.
We covered that topic here:
SpaceX explains Starship test flight delay, reveals new target date
SpaceX also wrote a letter to the FAA about the Starship test flight delays and fines that the agency recently hit the company with after the blog post:
SpaceX hits back at FAA in scathing new letter, claiming fines were retaliation
Musk continued in his X post yesterday, stating that regulatory issues and bureaucratic hurdles are one of his major worries:
“One of my biggest concerns right now is that the Starship program is being smothered by a mountain of government bureaucracy that grows every year. This stifling red tape is affecting all large projects in America, which is why, for example, California has spent ~$7 billion dollars and several years on high-speed rail, but only has a 1600 ft section of concrete to show for it! While I have many concerns about a potential Kamala regime, my absolute showstopper is that the bureaucracy currently choking America to death is guaranteed to grow under a Democratic Party administration. This would destroy the Mars program and doom humanity.”
Musk has already been very transparent about his support for former U.S. President Donald Trump, and it seems this recent post is yet another way he is using his platform to sway potential voters in a direction that would be advantageous to SpaceX.
SpaceX’s primary goal has been to colonize Mars and make life multiplanetary. Moving to get the Starship program rolling toward initial launches to Mars is a necessity. With this optimistic timeline, the company could make serious progress in the next ten years.
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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.