Tesla AI Day 2022 is just around the corner. As anticipation for the event builds, let’s look at the possible updates Tesla might provide during the event.
For the past month or so, Tesla has been rolling out FSD Beta 10.69 and its various iterations. Teslarati has been talking with FSD Beta testers and chronicling their thoughts on v10.69 over the past few weeks. Tesla might provide more insight into FSD Beta and its expected release to the public during AI Day 2022.
Optimus has been in the works for nearly a year. The Tesla Bot was unveiled at last year’s AI Day. Everyone expects Tesla to unveil the long-awaited Optimus prototype during the upcoming AI Day 2022.
FSD Beta Updates
Tesla plans to roll out FSD Beta version 10.69.2.3 after AI Day 2022. Currently, Beta testers are trying out v10.69.2.2. Most Tesla drivers who have talked to Teslarati reported issues with lane selection, turns, turn signals, and speed limit signs.
Beta tester Frank summed up the experiences of all the drivers in the program well.
“From my experience, there [sic] has been both steps forward and backward. The late version is much better than the previous, but has a few [issues],” Frank noted.
“I would say that the general comments I read in your [Teslarati] articles would reflect my experience. Without a doubt, drive with caution. There has been progress to this complex problem,” he added.
During an invite-only Goldman Sachs tech conference, Tesla’s Senior Director of Investor Relations Martin Viecha stated that Tesla’s plans for the wide release of Full Self Driving remain on track.
Earlier this year, Elon Musk forecasted that FSD might be released to qualified vehicles by the end of 2022. At the tech conference this month, Viecha explained that Tesla might release “supervised” FSD by the end of the year.
Current FSD Beta testers believe that Tesla’s autonomous driving software has improved tremendously since the release of v10.69. However, quite a few also believe Tesla still needs to be cautious about releasing FSD to more drivers.
“To Tesla, keep working things out, but do not be as optimistic as you are. If you are not having to intervene [sic], you are not driving on my roads,” commented one FSD Beta tester.
Tesla Bot [Optimus]
At the beginning of 2022, Elon Musk stated that Tesla’s humanoid robot, dubbed Optimus, is a top priority for the company.
“So, in terms of priority of products, I think actually the most important product development we’re doing this year is actually the Optimus humanoid robot. This, I think has the potential to be more significant than the vehicle business over time,” Musk said.
“If you think about the economy, it is— the foundation of the economy is labor. Capital equipment is distilled labor. So, what happens if you don’t actually have a labor shortage? I’m not sure what an economy even means at that point. That’s what Optimus is about. So, very important,” he elaborated.
In May 2022, Elon Musk confirmed that Tesla would provide a sneak preview of the Tesla Bot. The 2022 AI Day teaser poster hints that Tesla still plans to reveal some juicy tidbits about Optimus.
Hopefully, Tesla elaborates more on the humanoid robot’s production and potential release date on the market. During Musk’s TED appearance in April, he estimated that Optimus would cost less than a car once Tesla scales production.
Tesla AI Day 2022 is a recruitment event similar to last year. The company is also expected to talk about its Dojo AI supercomputer, as well as its next-generation in-house computer, Hardware 4, which is expected to debut with the Cybertruck.
Are you attending Tesla’s 2022 AI Day? I’d like to hear your thoughts on the news Tesla shares during the event. Contact me at maria@teslarati.com or via Twitter @Writer_01001101.
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%.
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
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.
Tesla leases new 108k-sq ft R&D facility near Fremont Factory
Tesla winter weather test: How long does it take to melt 8 inches of snow?
