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Tesla Semi competitor Nikola Motor promotes custom OS, 3-yr production estimate
As it continues the development of its first hydrogen-electric truck, Tesla Semi rival Nikola Motor posted an update on the software development for its vehicles. In a post on Twitter, Nikola noted that its custom operating system has reached a point where it could be cold booted in seconds. The hydrogen-electric truck startup also provided what appears to be a brief update on its software’s rollout. In its post, Nikola mentioned that its software still has three years of optimization left before it enters production.
How awesome is Nikola's operating system and instrument cluster? We can cold boot the infotainment system and instrument cluster in less than 8 seconds from start! And we have 3 years optimization left before production!
— Nikola Corporation (@nikolamotor) February 3, 2019
While Nikola is yet to release details about the upcoming custom OS for its hydrogen-electric trucks, the company has teased a number of features centered around its software nonetheless. Among these is the Digital Cockpit, which allows drivers to control most of the trucks’ functions and through a center 21″ touchscreen, as well as a feature called Surround Vision, which gives operators a virtual aerial view of the area surrounding the truck in real time. This feature is made possible by using a suite of cameras, radar, sonar, and computing software, allowing truck drivers to fully cover their blind spots while driving. Nikola also notes that its vehicles are equipped with the necessary hardware to enable full autonomous safety and convenience features.
That said, Nikola does have quite a lot of work to do before it could market its hydrogen-electric trucks as a viable alternative to diesel and all-electric long-haulers like the Tesla Semi, which is expected to begin initial production sometime this year. Nevertheless, the hydrogen-electric truck startup has ambitious plans for its vehicles’ hydrogen refueling network, with the company aiming to set up an estimated 820 refilling stations operating across the United States by 2028.
The emergence of zero-emissions vehicles like the Nikola One and the Tesla Semi could herald the start of a new era for the trucking market. Considering their capabilities, vehicles like Nikola One could replace long-range diesel trucks, and all-electric units like the Tesla Semi could easily dominate the market for shorter-range routes. This particular point appears to be evident for Nikola Motor CEO Trevor Milton, who recently took to LinkedIn to invite former Tesla employees who were affected by the electric car maker’s recent round of layoffs, which affected 7% of the company’s workforce.
In his post, Milton noted that his invitation to former Tesla employees is not in any way throwing shade at the electric car maker. The Nikola CEO also stated that the hydrogen-electric truck maker has “large cash reserves” to support hundreds of new employees. Following is Milton’s LinkedIn invitation.
“Forward this on to all Tesla workers. Anyone who was affected by the #tesla layoffs, please let me know and I’ll try to get you in front of our HR to be reviewed. We have hired as many as fit our positions from the #faraday and #gm layoffs so this is not a bash on Tesla. We are hiring hundreds of positions and have large cash reserves with a great company culture. See our glass door. I am taking time out of my crazy schedule to try to help in these situations.
“I feel for everyone that goes through that especially with financial obligations. If #tesla could they would keep everyone but it’s the result in growing in a competitive market. I hope I can help all those affected. Please DM me directly WITH your resume attached. I don’t have time to email asking for it so please include it and I’ll try to help as much as I can. You can also email joe.pike@nikolamotor.com if you want direct contact to HR.”
Nikola is currently preparing for Nikola World 2019, a two-day event in April that would feature the unveiling of the pre-production models of its hydrogen-electric trucks. The hydrogen-electric truck startup is also planning to unveil a 2.3-megawatt H2 fueling station that serves as a model for Nikola’s upcoming network of refilling stations at the upcoming event.
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
