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Tesla’s liquid-cooled charging connector patent paves way for the Semi’s Megachargers
A recently published patent application from Tesla suggests that the electric car maker is continuing in its efforts to improve its already-stellar Supercharger Network. The design outlined in the document, which features a liquid-cooled charging connector, can potentially pave the way for a more ambitious charging infrastructure, perhaps one that can specifically cater to the all-electric Semi’s Megacharger Network.
During the all-electric truck’s unveiling, CEO Elon Musk mentioned that the Semi will be able to replenish as much as 400 miles of range in as little as 30 minutes thanks to a network of Megachargers. Neither Musk nor Tesla provided the specs of the Megacharger during the vehicle’s unveiling, though speculations were high that network might provide a power output that is several times more powerful than the company’s Supercharger V2 Network, which had an output of around 120 kW then (Supercharger V2 stations have since been improved to 150 kW).
Being a large vehicle, the Semi requires a lot of power for its charging needs, involving the rapid transfer of mass amounts of electricity in a very short period of time without encountering any heating issues. This is a key concept outlined by Tesla in its recently published patent, titled “Liquid-Cooled Charging Connector,” which involves the use of a liquid cooling system on a charging connector itself. Tesla describes its concept in the discussion below.
“To transfer energy faster and decrease charging times, the cable and charging connector must be capable of withstanding high current loads. Current charging connectors are limited in the current loads that they can support as their ability to dissipate heat is limited. Thus, there is a need for a new charging connector to solve the aforementioned problems.
“The present disclosure related to a new charging connector. The charging connector has a first electrical socket and a second electrical socket. A first sleeve is concentrically coupled to the first electrical socket and a second sleeve is concentrically coupled to the second electrical socket. A manifold assembly encloses the first and second electrical sockets and the first and second sleeves, such that the first and second sleeves and manifold assembly create a hollow interior space there between. The manifold assembly has an inlet conduit and an outlet conduit such that inlet conduit, interior space, and outlet conduit together create a fluid flow path.
“Cooling fluid flows through the fluid flow path and cools the charging connector. During operation, the cooling fluid bifurcates into a first fluid stream which flows around the first sleeve, and a second fluid stream which flows around the second sleeve. The first and second fluid streams combine upstream of the outlet conduit. The first sleeve encloses the first electrical socket, and the second sleeve encloses the second electrical socket. The cooling sleeves are made from a thermally conducting material such that heat generated by electrical sockets can be removed by the cooling fluid. In embodiments, this thermally conducting material is a thermally conductive plastic material.”
Tesla notes that its liquid-cooled supercharger connector does not only allow faster charging; it also makes the routing of wires in a charging connector much more efficient. This means that Tesla’s Supercharger connectors could eventually be smaller and more compact despite being capable of greater output. An example of this appears to be hinted at by Supercharger V3’s liquid-cooled cables, which are smaller and more compact than those used in Tesla’s V2 Network.
“Cooling fluid absorbs thermal energy from heat in the electrical sockets 404, 406. Sleeves 410, 412 are made of a thermally conducting, electrically insulating material. Heat from the electrical sockets 404, 406 is transferred to cooling fluid through sleeves 410, 412. After flowing around hollow interior space 416, the first fluid stream 804 and the second fluid stream 806 combine together upstream of outlet conduit 514 and flow outside of manifold assembly 414 through outlet conduit 514. Cooling fluid flowing out of manifold assembly 414 through outlet conduit 514 may be received by a reservoir (not shown) which may provide for heat exchanging arrangements. A heat exchanger may be provided to take away heat absorbed by cooling fluid. After rejecting absorbed heat, the cooling fluid may be recirculated back to inlet conduit 512 for further cooling of charging connector 210.
“FIG. 9 shows another component included by charging connector 210. A Printed Circuit Board Assembly (PCBA) 902 is thermally coupled to charging connector 210. In embodiments, PCBA 902 is a two-part structure. A first part of PCBA 904 is coupled to charging connector 210 such that the first part of PCBA 904 sits on top of electrical sockets 404, 406. A second part of PCBA 908 is connected to the first part of PCBA 904 through a rigid-flex PCB construction, or other similar interconnects. The two-part structure of PCB A 902 allows for a more efficient routing of electrical wires of charging connector 210, and overall size of charging connector 210 may be conveniently reduced.”
Tesla’s Superchargers are among the fastest and most expansive electric vehicle charging infrastructures in the auto industry. In keeping with its spirit, the company has made it a point to never stop innovating, as exhibited by the company’s debut and ongoing ramp of its Supercharger V3 Network. This could ultimately pay off for Tesla, whose lead in the electric vehicle race might potentially increase even more.
Such innovations appear to be required of the company, especially with the rollout of ambitious EVs such as the Semi, a vehicle with a different charging infrastructure compared to Tesla’s existing lineup of electric cars. That being said, Tesla nevertheless deserves credit for pushing the envelope and staying on top of its innovations. In the electric vehicle race, after all, a liquid-cooled charging connector could end up making the difference between the fast-charging capabilities of the Tesla Semi and rivals from Daimler and Nikola.
A link to the full text of Tesla’s liquid-cooled charger connector patent could be accessed here.
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
