News
Tesla Cybertruck will equip 800v architecture for faster charging times, better margins
Tesla Cybertruck will equip an 800-volt architecture when it begins deliveries on November 30, an announcement that is still fresh from the company’s Earnings Call earlier this week.
For EV newbies, the 800-volt architecture may not be much of a head-turner. However, to those who have been following the industry at all, 800v architectures are the way of the future for the EV industry, especially as more electric cars are on the road, charging times continue to be a concern to some, and heavier all-electric cars are becoming more available throughout the various automakers.
On Wednesday, Tesla confirmed what many believed for a long time: the Cybertruck would equip an 800-volt architecture.
What are the strengths of an 800-volt architecture? It comes down to charging times, efficiency, margins, and weight, all things that are important to the company and its products, as well as its financial status.
Tesla Cybertruck and Semi are candidates for 800-volt architecture
From a macro standpoint, Tesla’s financials are still strong. But Musk and Co. were not shy about warning investors and analysts about the upcoming economic headwinds it would encounter.
It’s a market-wide issue and not just a Tesla issue. As Tesla plans to launch the Cybertruck, interest rates are high, discouraging consumers from wanting to finance anything. Additionally, Musk confirmed it may take 18 months for the Cybertruck to be a positive cash flow contributor to Tesla’s financials.
The 800-volt architecture will improve margins on the vehicle instead of other EV architectures that may have been considered. It said explicitly in its Q3 Shareholder Deck:
“For very heavy vehicles, a high voltage powertrain architecture brings notable cost savings, which is why Cybertruck will adopt an 800-volt architecture.”
From a cost perspective, 800-volt architectures are void of as much copper throughout the vehicle, which reduces weight. Weight reductions improve performance and range.
Earlier today, we reported on the Cybertruck VIN Decoder, which was released by the NHTSA. It revealed the Cybertruck has two weight classifications:
“…the vehicle’s gross weight has two classes: G, which would be between 8,001 and 9,000 pounds, and H, which is between 9,001 and 10,000 pounds.”
800-volt architectures have greater efficiency because they allow electricity to move from the battery to the wheels with a lower current. This ultimately reduces the amount of power that is lost to heat, and higher voltage – lower current architectures can move the same amount of power with thinner wires, which relates to the reduction in copper that was mentioned previously.
800-volt architectures are big for the future of EVs, even outside of Teslas. Tesla EVs are far from the first cars on the market to equip an 800-volt architecture, as the Porsche Taycan had an 800v build back in 2018 when the German company unveiled the specs for its introductory EV.
Faster charging is the biggest advantage, as they can handle greater outputs from Superchargers. The V4 Supercharger from Tesla, for example, has a 350 kW output, enabled by increased amperage and current ratings.
This will keep EV owners at the Superchargers for less time, making charging more efficient and allowing more people to access chargers by decreasing congestion.
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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.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
