News
Tesla gives update for early FSD adopters with legacy Model S, Model X vehicles
Longtime Tesla FSD adopters with legacy vehicles recently received an update from the electric car maker. The update sheds some light on what is waiting for customers who purchased FSD and are still driving legacy Model S and Model X vehicles today.
Tesla functions like a tech company, so it is no surprise that it has moved very fast over the years. This means that constant improvements to its vehicles’ hardware are being implemented as soon as they are ready. This also means, however, that the latest updates to systems like FSD (Supervised) or Autopilot are mostly focused on vehicles that represent the majority of the company’s fleet.
This was highlighted by Elon Musk in a recent post on X, when he noted that while Tesla’s Hardware 4 will ultimately be better, all training that the company is doing right now is for Hardware 3 vehicles. Hardware 4 is just running on emulation mode.
Within Tesla’s pursuit of autonomous driving lies a group of Model S and Model X owners who bought into FSD even before the Model 3 was ramped. These owners were promised that their vehicles would have the necessary hardware to be self-driving one day, but they have not received much of Tesla’s Autopilot and FSD improvements to date. Granted, Tesla has launched a hardware upgrade program for legacy vehicles, but they are paid options that some owners have refused.
It was then no surprise that amidst the excitement for FSD (Supervised), some legacy Model S and Model X owners have expressed their frustration at being left out again. Among these is Anthony Spina, who noted in a post on X, that “all of us legacy S/X owners still haven’t received V12 yet, with no official communication stating whether or not we even will. MCU1 FSD S/X owners have been living in the dark on this for years, and now MCU2 owners are beginning to be lumped into this group as well, at least it would seem on the surface.”
Thanks @Speenuh and others who have posted on @X about this. While we normally prioritize our paid FSD customers to the extent possible, there is a group of S/X customers (~3% of total FSD eligible vehicles) who have a different hardware which the @Tesla_AI team is working to… https://t.co/W3l3SYlVZu— Rohan Patel (@rohanspatel) March 31, 2024
In a response on X, Tesla Vice President of Public Policy and Business Development Rohan Patel explained that the electric vehicle maker is putting a lot of efforts into releasing systems like FSD (Supervised) to older vehicles. The executive noted that Tesla cannot give a timeline as to when FSD would be released to older vehicles, but the company’s AI team is working on it.
“Thanks @Speenuh and others who have posted on @X about this. While we normally prioritize our paid FSD customers to the extent possible, there is a group of S/X customers (~3% of total FSD eligible vehicles) who have a different hardware which the @Tesla_AI team is working to validate. We have a rigorous safety validation cycle for every software update, and we are working as hard as possible to ship the latest builds to all customers. We don’t want to give false precision on timing until the validation can be completed, but want you to know we are focused on trying to solve this. Many of you have been with us on the FSD journey from the start and it’s super appreciated,” Patel wrote.
We ? get it and understand and sincerely appreciate the patience. Our software engineers and validation teams really are doing all they can to try and solve even on Easter Sunday.— Rohan Patel (@rohanspatel) March 31, 2024
In a follow-up post, the Tesla executive also noted that the company understands the frustration of its legacy customers. “We 100% get it and understand and sincerely appreciate the patience. Our software engineers and validation teams really are doing all they can to try and solve even on Easter Sunday,” the executive noted.
Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.cDon ‘t give us a heads up.
Elon Musk
Elon Musk’s Boring Company opens Vegas Loop’s newest station
The Fontainebleau is the latest resort on the Las Vegas Strip to embrace the tunneling startup’s underground transportation system.
Elon Musk’s tunneling startup, The Boring Company, has welcomed its newest Vegas Loop station at the Fontainebleau Las Vegas.
The Fontainebleau is the latest resort on the Las Vegas Strip to embrace the tunneling startup’s underground transportation system.
Fontainebleau Loop station
The new Vegas Loop station is located on level V-1 of the Fontainebleau’s south valet area, as noted in a report from the Las Vegas Review-Journal. According to the resort, guests will be able to travel free of charge to the stations serving the Las Vegas Convention Center, as well as to Loop stations in Encore and Westgate.
The Fontainebleau station connects to the Riviera Station, which is located in the northwest parking lot of the convention center’s West Hall. From there, passengers will be able to access the greater Vegas Loop.
Vegas Loop expansion
In December, The Boring Company began offering Vegas Loop rides to and from Harry Reid International Airport. Those trips include a limited above-ground segment, following approval from the Nevada Transportation Authority to allow surface street travel tied to Loop operations.
Under the approval, airport rides are limited to no more than four miles of surface street travel, and each trip must include a tunnel segment. The Vegas Loop currently includes more than 10 miles of tunnels. From this number, about four miles of tunnels are operational.
The Boring Company President Steve Davis previously told the Review-Journal that the University Center Loop segment, which is currently under construction, is expected to open in the first quarter of 2026. That extension would allow Loop vehicles to travel beneath Paradise Road between the convention center and the airport, with a planned station located just north of Tropicana Avenue.
News
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%.
News
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