Tesla has recently detailed some of the improvements it’s working on for the Supercharger network, especially as it has slowly been expanding access to the stations to electric vehicles (EVs) from other brands.
As Tesla has begun giving new non-Tesla EV brands access to the Supercharger network this year, many have also noticed how charging port placement on other vehicles can make it harder for short cables to reach—often requiring drivers to block other charging stalls to plug in.
However, in a post on X from the Tesla Charging account on Friday, the company has highlighted four things it’s aiming to improve for all EV owners, including a boost to the number of long charging cables at its Supercharger stations. In particular, Tesla says that within the next 18 months, it will have more long V4 Supercharger cables at stations than short ones, as it aims to start upgrading shorter cables to meet the needs of other EV brands.
In the post, Tesla outlines the following four goals it’s working on as it dives into improving the charging network:
- Making stall availability more accurate than ever
- Increasing the number of long Supercharging cables
- Modifying Supercharger stations to avoid blocking stalls
- Encouraging manufacturers to follow suit with charge port locations
Tesla makes it easier to find towing-compatible Superchargers
Tesla says that the latest software update makes stall availability estimates even more accurate, as the vehicle is now able to detect when EVs with a non-Tesla charge port location are plugged into a short-cable stall. This algorithm is set to continue improving over time, making it easier for drivers to get an accurate picture of how many stalls are available, as well as how many are blocked out by those needing to park unconventionally to reach.
The updated stall availability algorithm is a big improvement, with nearby refresh rates now every ~15 seconds. We know car types plugging in and mapped out Supercharger site layouts, to know which stall is not available at short cable sites. Your Tesla's touchscreen now shows… https://t.co/5PF7wruNhQ— Max de Zegher (@MdeZegher) November 22, 2024
In addition, Tesla says it has already modified over 1,500 Supercharger stations to make it so that EV drivers never have to utilize more than two charging spaces to charge, and it plans to continue working on updating sites going forward. Lastly, the company has gone directly to other EV manufacturers to encourage them to move charging ports to the rear left of their vehicles or to the front right, in order to maximize compatibility with the company’s Superchargers.
As one example in March, Tesla’s Lead Cybertruck Engineer Wes Morrill encouraged Rivian CEO RJ Scaringe to re-consider the location of the charging port for the upcoming R2 and R3 platforms, after prototype designs for the EVs were first unveiled and showed the port on the rear right instead. If Rivian wants to optimize for street parking as it appears to be doing, Morrill says that the company should move the port to the front right instead.
The company’s deployment of longer V4 Supercharging cables also follows the company’s debut of V4 charging cabinets earlier this month, effectively debuting faster charging speeds of up to 500kW. Companies like Ford, Rivian, General Motors (GM), and Nissan have already started gaining access to Tesla’s Supercharger network after adopting the company’s NACS last year, and Tesla will continue to widen access to the charging stations in the coming months and years.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.
Ford to replace Tesla NACS adapters, warning of damaged charging ports
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Tesla leases new 108k-sq ft R&D facility near Fremont Factory
The lease adds to Tesla’s presence near its primary California manufacturing hub as the company continues investing in autonomy and artificial intelligence.
Tesla has expanded its footprint near its Fremont Factory by leasing a 108,000-square-foot R&D facility in the East Bay.
The lease adds to Tesla’s presence near its primary California manufacturing hub as the company continues investing in autonomy and artificial intelligence.
A new Fremont lease
Tesla will occupy the entire building at 45401 Research Ave. in Fremont, as per real estate services firm Colliers. The transaction stands as the second-largest R&D lease of the fourth quarter, trailing only a roughly 115,000-square-foot transaction by Figure AI in San Jose.
As noted in a Silicon Valley Business Journal report, Tesla’s new Fremont lease was completed with landlord Lincoln Property Co., which owns the facility. Colliers stated that Tesla’s Fremont expansion reflects continued demand from established technology companies that are seeking space for engineering, testing, and specialized manufacturing.
Tesla has not disclosed which of its business units will be occupying the building, though Colliers has described the property as suitable for office and R&D functions. Tesla has not issued a comment about its new Fremont lease as of writing.
AI investments
Silicon Valley remains a key region for automakers as vehicles increasingly rely on software, artificial intelligence, and advanced electronics. Erin Keating, senior director of economics and industry insights at Cox Automotive, has stated that Tesla is among the most aggressive auto companies when it comes to software-driven vehicle development.
Other automakers have also expanded their presence in the area. Rivian operates an autonomy and core technology hub in Palo Alto, while GM maintains an AI center of excellence in Mountain View. Toyota is also relocating its software and autonomy unit to a newly upgraded property in Santa Clara.
Despite these expansions, Colliers has noted that Silicon Valley posted nearly 444,000 square feet of net occupancy losses in Q4 2025, pushing overall vacancy to 11.2%.
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Tesla winter weather test: How long does it take to melt 8 inches of snow?
In Pennsylvania, we got between 10 and 12 inches of snow over the weekend as a nasty Winter storm ripped through a large portion of the country, bringing snow to some areas and nasty ice storms to others.
I have had a Model Y Performance for the week courtesy of Tesla, which got the car to me last Monday. Today was my last full day with it before I take it back to my local showroom, and with all the accumulation on it, I decided to run a cool little experiment: How long would it take for Tesla’s Defrost feature to melt 8 inches of snow?
Tesla’s Defrost feature is one of the best and most underrated that the car has in its arsenal. While every car out there has a defrost setting, Tesla’s can be activated through the Smartphone App and is one of the better-performing systems in my opinion.
It has come in handy a lot through the Fall and Winter, helping clear up my windshield more efficiently while also clearing up more of the front glass than other cars I’ve owned.
The test was simple: don’t touch any of the ice or snow with my ice scraper, and let the car do all the work, no matter how long it took. Of course, it would be quicker to just clear the ice off manually, but I really wanted to see how long it would take.
Tesla Model Y heat pump takes on Model S resistive heating in defrosting showdown
Observations
I started this test at around 10:30 a.m. It was still pretty cloudy and cold out, and I knew the latter portion of the test would get some help from the Sun as it was expected to come out around noon, maybe a little bit after.
I cranked it up and set my iPhone up on a tripod, and activated the Time Lapse feature in the Camera settings.
The rest of the test was sitting and waiting.
It didn’t take long to see some difference. In fact, by the 20-minute mark, there was some notable melting of snow and ice along the sides of the windshield near the A Pillar.
However, this test was not one that was “efficient” in any manner; it took about three hours and 40 minutes to get the snow to a point where I would feel comfortable driving out in public. In no way would I do this normally; I simply wanted to see how it would do with a massive accumulation of snow.
It did well, but in the future, I’ll stick to clearing it off manually and using the Defrost setting for clearing up some ice before the gym in the morning.
Check out the video of the test below:
❄️ How long will it take for the Tesla Model Y Performance to defrost and melt ONE FOOT of snow after a blizzard?
Let’s find out: pic.twitter.com/Zmfeveap1x
— TESLARATI (@Teslarati) January 26, 2026
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Tesla Robotaxi ride-hailing without a Safety Monitor proves to be difficult
Tesla Robotaxi ride-hailing without a Safety Monitor is proving to be a difficult task, according to some riders who made the journey to Austin to attempt to ride in one of its vehicles that has zero supervision.
Last week, Tesla officially removed Safety Monitors from some — not all — of its Robotaxi vehicles in Austin, Texas, answering skeptics who said the vehicles still needed supervision to operate safely and efficiently.
BREAKING: Tesla launches public Robotaxi rides in Austin with no Safety Monitor
Tesla aimed to remove Safety Monitors before the end of 2025, and it did, but only to company employees. It made the move last week to open the rides to the public, just a couple of weeks late to its original goal, but the accomplishment was impressive, nonetheless.
However, the small number of Robotaxis that are operating without Safety Monitors has proven difficult to hail for a ride. David Moss, who has gained notoriety recently as the person who has traveled over 10,000 miles in his Tesla on Full Self-Driving v14 without any interventions, made it to Austin last week.
He has tried to get a ride in a Safety Monitor-less Robotaxi for the better part of four days, and after 38 attempts, he still has yet to grab one:
Wow just wow!
It’s 8:30PM, 29° out ice storm hailing & Tesla Robotaxi service has turned back on!
Waymo is offline & vast majority of humans are home in the storm
Ride 38 was still supervised but by far most impressive yet pic.twitter.com/1aUnJkcYm8
— David Moss (@DavidMoss) January 25, 2026
Tesla said last week that it was rolling out a controlled test of the Safety Monitor-less Robotaxis. Ashok Elluswamy, who heads the AI program at Tesla, confirmed that the company was “starting with a few unsupervised vehicles mixed in with the broader Robotaxi fleet with Safety Monitors,” and that “the ratio will increase over time.”
This is a good strategy that prioritizes safety and keeps the company’s controlled rollout at the forefront of the Robotaxi rollout.
However, it will be interesting to see how quickly the company can scale these completely monitor-less rides. It has proven to be extremely difficult to get one, but that is understandable considering only a handful of the cars in the entire Austin fleet are operating with no supervision within the vehicle.