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Tesla ‘Superbottle’ proves that the Model 3’s disruption lies in its vertical integration
During a recent interview with Tesla owner-enthusiast Sean Mitchell, Detroit veteran Sandy Munro of Munro and Associates mentioned that among the Model 3’s unique components, its “Superbottle” is one of the most innovative. Combining two pumps, one heat exchanger, and one coolant valve in one cleverly-designed bottle, the Model 3’s cooling system is arguably the most unique in the auto industry.
The traditional automotive industry is all about suppliers and outsourcing the different components of a vehicle to different companies. This results in cars having redundant components. The Chevy Bolt, for example, has three cooling systems: one for its battery pack, one for its cabin, and one for its electronics. This is not the case with the Model 3, as the fondly-named Superbottle handles the entire cooling system of the whole vehicle — battery pack, cabin, and electronics included.
The Superbottle has garnered much recognition even among noted gearheads such as Jalopnik‘s David Tracy, who used to design automotive cooling systems himself. Munro, for his part, noted that the Superbottle actually gives several advantages for Tesla, such as increased modularity and packaging space, potential weight savings, reduced final assembly costs, and reduced final assembly time, to name a few. For Munro, the novel cooling system is the very definition of Tesla’s vertical integration.
“The Superbottle is a great example of how the normal automotive companies don’t work together, and Tesla does. That Superbottle crosses many lines that you can’t cross here (in Detroit). If I’m in charge of engine cooling or battery cooling, I don’t want nothing to do with cooling the cabin. And yet, we’ve got the motor cooling, the battery cooling, and electronics, all going through one little bottle that’s got some clever little ball valves that open and close to make sure that everything’s getting heated or everything’s being cooled to where it needs to be. We all thought that was the best thing in the whole damn car,” Munro fondly commented.
Discussing the Superbottle further, Munro mentioned how the cooling system is fitted with a bottle avatar dressed as a superhero. According to the auto veteran, this funny little character is a notable representation of just how different Tesla is as a car maker, as such fun Easter Eggs in a vehicle will never be allowed in traditional automakers. Together with the vertical integration that is showcased in the Superbottle, Tesla’s apparent support for creativity among its engineers and designers is something that is simply not present in traditional automakers today.
In a recent video, Tesla investor-enthusiast Galileo Russell of HyperChange TV noted that innovations such as the Superbottle could open the doors for the electric car maker’s other products. It is most certain that the Superbottle will end up in the Model Y, and variations of it would likely be used in other vehicles such as the Pickup Truck, the Semi, and the next-gen Roadster. Perhaps, Russell mused, Tesla’s Superbottle solution could even be utilized on the company’s upcoming HVAC products, which Elon Musk hinted at during his extensive podcast with Joe Rogan last year.
Tesla catches a lot of flak due to the fact that the company and its CEO, Elon Musk, seems unwaveringly intent on reinventing the wheel. With each new vehicle that it introduces, Tesla steps farther and farther away from traditional automakers. This is represented by the fact that the company is currently developing a literal giant casting machine for its Model Y crossover, which is expected to reduce the number of parts for the vehicle. And this is just the tip of the iceberg, as Tesla is also developing its custom Silicon for its full self-driving projects. It is then no surprise that when Sandy Munro was discussing how traditional automakers are playing catchup to Tesla in the EV market, he noted that “really and truly, all the domestics (automakers such as Ford and GM) are way behind.”
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
