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Tesla Cybertruck to become New York man’s power source for tiny home
A New York man plans to use the Tesla Cybertruck as a power source for his “tiny home.” Karl Gesslein, a resident of Ithaca placed an order for the Cybertruck the day of the unveiling after realizing that Tesla’s initial attempt at a pickup truck was exactly what he had been looking for since his childhood.
The idea came from his desire to power his new house in a sustainable way, and by using the $50,000 Dual Motor variant of the Tesla Cybertruck, he will no longer need to use portable batteries as his primary power source.
“I watched the Cybertruck reveal and knew I had to have one because it was everything I had always wanted in a car but never been able to have,” Gesslein said. His interest in the Cybertruck came from his childhood dreams of owning cars like the Lotus Espirit and the Delorian DMC-12. But the most appealing thing about the vehicle was its capability to power his house, especially with the help of the “Vault’s” optional solar panel cover.
Currently, Gasslein and his wife live in an off-the-grid house that they have called home for six years. The house utilizes a homemade battery pack, but he is looking for another option as only 1 kWh of the 1.25 kWh system is usable. The Cybertruck, by his estimation, would power his home for 240 straight days, along with some help from solar panels. “That is long enough to get through a pretty harsh nuclear winter with some time to spare,” he says in a blog post he wrote about his idea.
One thing that Gesslein has noted is that the Cybertruck would fight power outages and scheduled blackouts, especially if the vehicle was hooked up to an on-the-grid circuit breaker. Blackouts and power outages are a relevant issue, especially to those who live in California’s San Francisco Bay Area, who were negatively impacted by them earlier this year.
Pacific Gas and Electric (PG&E), a power supplier for many Bay Area homes, conducted mandatory scheduled blackouts to lower the possibility of forest fires caused by their powerlines during California’s windy and dry Autumn months. In response to the blackouts, Tesla offered its solar solutions for a reduced cost, a strategy that would assist homeowners in avoiding blackouts and carbon emissions altogether.
Tesla’s Cybertruck is a versatile machine. Its triple-motor setup offers the highest towing capacity on the market with a 14,000+ lb rating, a stainless steel design that will not bend or dent, a solar panel vault cover capable of charging the vehicle while it is sitting in sunlight, and a charging port for the electric ATV Tesla unveiled at the same event.
But now, the truck will have a new use: powering a future owner’s tiny home. The Cybertruck is a safe and sustainable option for those who are looking for an alternative way to power their homes. While it will take some creativity and some experience with electric, it is definitely possible. “The Cybertruck is the best deal to be found for electric backup power that won’t accidentally burn your house to the ground or kill you in your sleep. Hands down,” Gesslein said.
The Cybertruck begins production in late-2021 and has accumulated over a quarter-of-a-million pre-orders according to CEO Elon Musk. The truck will be available in three trims, a Single, Dual, and Tri-Motor, all offering different power and performance ratings. The Single Motor base model will cost $39,900, the Dual Motor $49,990, and the Tri-Motor variant that will offer a 2.9 second 0-60 MPH acceleration rate will be available for $69,900.
You can watch Karl Gesslein’s video on the idea to utilize his Cybertruck to run his tiny home below.
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
