News
Tesla and rival Nikola listed among most innovative and disruptive companies in freight
This year, the FreightWaves Research Institute conducted a study aimed at determining which companies are the most innovative and disruptive in the freight and logistics industry. From 500 companies, a panel of experts selected by the institute narrowed down the list to 25. These 25 companies represented the best that the freight and logistics industry has to offer, in terms of innovation, tech, and potential disruption.
Dubbed as the Freight.Tech25, the institute’s list of top companies included freight logistics heavyweights such as Amazon and J.B. Hunt. Standing near the top of the Top 25 list was Tesla, which placed third overall. Tesla was among the few automakers that made it to the Freight.Tech25, beating out Daimler, which placed 11th in the study’s rankings. Trucking startup Nikola Motor Company, which makes hydrogen-electric trucks, placed 24th in the Top 25 list.
FreightWaves (a publication behind the institute that conducted the study) has traditionally been quite bearish on Tesla, and in particular, Elon Musk. That said, the publication notes that behind all the drama and controversy surrounding its CEO, it is undeniable that Tesla has “set much of the conversation around autonomous (technologies) and electrification, and incumbents and OEMs across the globe are chasing them.” Led by the Tesla Semi and vehicles like the Model 3, the electric car maker seems poised to be a true disruptor in the transportation and logistics field.
Speaking in a symposium, James O’Leary, VP of NFI Industries fleet services noted that the long-haul industry today is becoming very particular about electrification. The NFI Industries executive had a name for the trend — the “Tesla Effect.”
“Nobody in North America was talking about electric vehicles until your local news outlets picked up the rollout of the Tesla Semi. That led basically to what we call the Tesla effect. Now shippers are asking their carriers where you are with electric vehicles,” he said.
Another surprising automaker that made it to the Freight.Tech25 is Tesla rival Nikola Motor, a company that creates hydrogen-electric long-haulers. Considering that the startup is yet to start the production of any of its vehicles, the company’s place in the FreightWaves Research Institute’s list is commendable. The institute has noted, though, that Nikola’s tech has received rave reviews in terms of fleet pre-orders. Thanks in part to the company’s practice of accepting orders without a reservation fee, Nikola has also reportedly received over $8 billion in pre-orders for its lineup of hydrogen-electric trucks — the Nikola One sleeper, the Nikola Two daycab, and the Nikola Tre, which is designed for the European and Australian market.
In true Nikola fashion, the trucking startup has issued a bold, optimistic statement on its official Twitter page, stating that while it was great to have made it into the Freight.Tech25, the company believes in the notion that “If you ain’t first, you’re last.” As such, Nikola declared that it “will never be okay with 24th place.”
While it is nice getting in top 25, our company belief is that "If you ain't first you're last". Thank you Ricky Bobby, we agree. Nikola will never be ok with 24th place. Our only goal is #emissionsgameover https://t.co/x9Mwz6Nvvy
— Nikola Corporation (@nikolamotor) December 17, 2018
For now, Tesla continues to test the Semi on US roads, with the company’s prototypes being sighted across several states. Just recently, even the matte black Tesla Semi prototype, which has remained unseen for months, was sighted charging in the Kettleman City Supercharger. Nikola, for its part, is preparing to hold its most ambitious event this coming April, where it is set to unveil its new hydrogen-electric trucks.
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
