Update: 3:46 PM EST 12/19: Quote from Aptera added to para. 6
Due to recent economic turbulence, the future of solar EVs is being called into question.
This morning, Sono Motors reservation holders were hit with a shocking notification; the company is on the verge of abandoning its solar electric vehicle project due to a lack of funds. A few weeks prior, solar EV brand Aptera announced that they would be making yet another prototype variation and pushing back its production start date. And while Lightyear Motors has begun producing its Lightyear 0 solar EVs, it is far from the scale many hoped for. So is this the end of solar EVs? It’s not immediately clear.
Starting with the announcement from Sono Motors this morning, the message was grim. Despite securing over 20,000 orders, they couldn’t secure the necessary investment to continue the development of their upcoming vehicle. However, this is not the end. At the very least, Sono will continue to produce solar panel technology as they already have been, but they also have another route. Sono is throwing a hail mary play and asking reservation holders to either increase their investment into the company, increase their downpayment, or even share the #savescion tag.
Looking to Aptera, many were optimistic earlier this year when the company showed off the Gamma prototype, a vehicle that at the time was supposedly production ready. Optimism was built further when Teslarati interviewed Aptera CEO Chris Anthony, where the CEO claimed that production would start in early 2023. Now it appears those plans may have changed.
Not only will Aptera be developing another prototype vehicle, the Aptera Delta, but production has become funding-dependent. And even with the funding, the company will be nine months away from beginning any delivery, according to a recent Aptera webinar.
Aptera Motors sent this comment in response to an inquiry from Teslarati:
Our development plan consists of four phases: Alpha, Beta, Gamma, and Delta. We have efficiently completed the first three phases and are currently in Delta, the final phase of Aptera’s path to production, which includes: the completion of our production-intent design, systems integration & Delta builds, crash testing and production validation, and lastly, the start of production. Once we meet our funding objectives, we will be able to provide a more accurate delivery timeline. In the meantime, we thank our reservation holders for their patience and continued support.
Finally, the glimmer of hope for solar EVs, Lightyear Motors has begun production of its solar EV in Finland. However, the company has been criticized for its small production volume and morose production timeline, only planning to produce 150 units. The company has defended the move as it plans for the vehicle to demonstrate technology ahead of a mass market option.
What is being seen in the solar electric vehicle space is colloquially called “production hell.” As countless EV startups have come to market over the past few years, there is a reason that essentially only Tesla, Lucid, and Rivian have actually made it to market; production is harrowing, and funding might be even more challenging.
Overall, the sad reality is that these EV startups are going through the gauntlet, and simply due to the challenge of introducing a new vehicle to the market, they are suffering for it. And while many consumers, engineers, and company CEOs have pointed out the benefits of solar EVs, that doesn’t necessarily mean they will make it to the market. Here’s to hoping that each of these manufacturers can work their way out of the woods and bring these remarkable technologies to the market.
What do you think of the article? Do you have any comments, questions, or concerns? Shoot me an email at william@teslarati.com. You can also reach me on Twitter @WilliamWritin. If you have news tips, email us at tips@teslarati.com!
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
