Tesla teardown expert Sandy Munro recently recreated what he believes will be the new 4680 Battery Pack by recreating the cell housing unit for a new video. Munro is an extremely familiar figure to Tesla fans as he spent some time breaking down both the Model 3 sedan and, more recently, the Model Y crossover. However, the design expert, along with his team of highly-qualified engineers, composed a copy of the 4680 cell pack, which will be used in future Tesla models to increase power, energy, and range.
Munro admits that this may not be exactly what Tesla will use in its future vehicles, but this could likely be extremely similar to what the electric automaker will introduce. For those that aren’t familiar, the Model 3 and Model Y previously used Tesla’s 2170 cells, which were able to provide superior performance compared to the 18650 cells that were used in the Model S and Model X. However, the electric automaker had been working with Jeff Dahn and other researchers at Dalhousie University in Canada to develop new, revolutionary cells that would provide longer lifespans with more power and more energy.
Interestingly, these cells with higher performance would dramatically decrease Tesla’s cars’ cost, as the materials they used would be easier to obtain and cheaper to produce. Creating a more efficient and cost-effective battery cell was the main strategy in having Tesla’s vehicles comparable with gas cars in terms of cost.
Credit: Munro and Associates
Tesla uses 4,416 2170 cells in the Model Y, but this number is significantly lower with the 4680 cells due to their larger size, which carries significantly more energy and power than the previous cell. Munro states that only 960 cells will be used in the new battery pack, and with the increases in range, power, and energy, Tesla is truly onto something remarkable that will only increase their lead in the EV sector.
“We are focusing our attention on this, which is so much better than what they had with the 2170,” Munro said.
Tesla rolled out the new 4680 cell at its highly-anticipated Battery Day event on September 22nd. CEO Elon Musk summarized Tesla’s plan to begin building a more affordable battery cell, ultimately leading to a more affordable vehicle. In summation, Tesla plans to decrease the cost of cell manufacturing by a significant amount and decrease the cost of money per kilowatt-hour by up to 56% through design, production efficiencies, and material sourcing.
One of Tesla’s biggest advantages in designing its own cells and packs is that it can significantly reduce costs while also increasing the ability to fix issues when they occur. One of the strategies with its battery cells from the very beginning was to individualize each cell so it was easier be traced and replaced if any issues were to occur. Teslarati covered a recent replacement of a Model S battery cell showed the process for fixing a pack when a cell goes awry.
The new 4680 cells have been used for several months, Elon Musk said in an interview earlier this year. However, not all vehicles utilize the new cells as the Kato Road cell production facility near Tesla’s Fremont factory is not producing enough yet. However, the increased production will eventually lead to Tesla using the 4680 batteries exclusively within its cars, which will lead to higher range ratings and increased performance specs, making Tesla’s EVs even more superior to its competitors.
Munro’s full 4680 pack breakdown is available 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
