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Tesla Full Self-Driving changes your perception of travel — long or short
Tesla Full Self-Driving will ruin controlling your vehicle manually.
Tesla does not tell you what Full Self-Driving will do to your perception of travel. Whether your next trip is a two-minute ride up the street to the grocery store or a 1,500-mile trip across multiple states, you’ll never look at driving the same way.
This past weekend, I was lucky enough to have a new Tesla Model Y for the weekend. Equipped with the company’s Hardware 4 computer, the latest software version, and all of the new Model Y’s improvements from the legacy iteration, I knew much of my weekend would be spent testing FSD, as I have never had an extended experience with it.
By the time the weekend was over and it was time to pick up my non-Tesla car, I realized I was not ready to let go. Having the car drive me around from location to location all weekend was something I truly enjoyed, but it was more than just a convenience thing. I felt impressed, relaxed, and even, in some instances, safer.
🚨 The final leg of our trip here: FSD did a great job of navigating through this parking lot and getting us onto a highway with a very short on-ramp (a very typical part of living and driving in Pennsylvania).
Also, Autopark did a great job! I would like to see it improve by… pic.twitter.com/OBefKZKDCo
— TESLARATI (@Teslarati) May 5, 2025
What Tesla Full Self-Driving Did Well
Now, before I truly begin, I do want to say that I don’t think I’ll ever feel safer than when I’m in ultimate control of the vehicle. However, a lot of things that give me stress during a drive were handled with relative ease by the car — and I was happy I didn’t have to deal with it.
One instance was merging onto a busy highway with a very short merge lane. Full Self-Driving took a no-holds-barred approach, taking the space it was given and grabbing a spot in the right lane quickly.
It was not willing to be passive, but it was also not willing to sacrifice safety. It will not wait for others to pull the trigger and go at intersections or four-way stops. If there are a few seconds of stagnation from the car and another driver in that instance, it will go, of course, proceeding safely.
It even did a handful of things I didn’t expect it to do. It would stay in the right lane if multiple on-ramps were approaching. I took it on a stretch of highway where three on-ramps are all within a mile of one another.
It passed a tractor-trailer just before we made it to the first of those three on-ramps. It stayed in that left lane after overtaking the 18-wheeler, as Driver Visualization showed more cars approaching to merge. It was one of those moments that, even though I have written about this topic for several years, was unbelievably impressive.
It not only drives people safely, but it is also considerate of other drivers, which is very impressive.
I was incredibly surprised to see my Fiancè have so much ease when it was operating.
🚨 Tesla Full Self-Driving takes my Fiancé and I to Target
Flawless drive! We’ll document the rest of our errands today! pic.twitter.com/TAx3mWmVgh
— TESLARATI (@Teslarati) May 4, 2025
I figured, just because she is not as familiar with what Tesla does to make FSD better and how it works, that she would be very on edge during our rides. This was the opposite. She felt comfortable enough to look away from the road while in the passenger seat. Scrolling her phone or looking out at the blooming flowers was what she did in the car. It was no different from when I’m driving, and I think that was what was most impressive to me.
Driving after FSD
I found that picking up my car and driving manually back home truly brought me back to real life. Everyone with a Tesla and Full Self-Driving says that when you go back to another car, you feel like you’re stuck in the past.
I really did feel that way. Not only because of the aesthetic of the interior, but just because I was doing something that I just realized could be done for me with the right vehicle.
🚨 100% the truth!
Once you go FSD, you never go back! https://t.co/uq7qkgAbtA pic.twitter.com/lUN3rT2Kkl
— TESLARATI (@Teslarati) May 8, 2025
While I love the car I own now, I’m still deciding whether I love it enough to keep it. To be completely honest, I have hopped around with the idea of trading in my car for the new Model Y. Whether I will or not truly depends on the next few weeks and how I feel, but I know that I will be considering it for the next few months easily.
Elon Musk
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla confirmed HW3 vehicles cannot run unsupervised FSD, replacing its free upgrade promise with a discounted trade-in.
Tesla has officially confirmed that early vehicles with its Autopilot Hardware 3 (HW3) will not be capable of unsupervised Full Self-Driving, while extending a path forward for legacy owners through a discounted trade-in program. The announcement came by way of Elon Musk in today’s Tesla Q1 2026 earnings call.
🚨 Our LIVE updates on the Tesla Earnings Call will take place here in a thread 🧵
Follow along below: pic.twitter.com/hzJeBitzJU
— TESLARATI (@Teslarati) April 22, 2026
The history here matters. HW3 launched in April 2019, and Tesla sold Full Self-Driving packages to owners on the understanding that the hardware was sufficient for full autonomy. Some owners paid between $8,000 and $15,000 for FSD during that period. For years, as FSD’s AI models grew more demanding, HW3 vehicles fell progressively further behind, eventually landing on FSD v12.6 in January 2025 while AI4 vehicles moved to v13 and then v14. When Musk acknowledged in January 2025 that HW3 simply could not reach unsupervised operation, and alluded to a difficult hardware retrofit.
The near-term offering is more concrete. Tesla’s head of Autopilot Ashok Elluswamy confirmed on today’s call that a V14-lite will be coming to HW3 vehicles in late June, bringing all the V14 features currently running on AI4 hardware. That is a meaningful software update for owners who have been frozen at v12.6 for over a year, and it represents genuine effort to keep older hardware relevant. Unsupervised FSD for vehicles is now targeted for Q4 2026 at the earliest, with Musk describing it as a gradual, geography-limited rollout.
For HW3 owners, the over-the-air V14-lite update is welcomed, and the discounted trade-in path at least acknowledges an old obligation. What happens next with the trade-in pricing will define how this chapter ultimately gets written. If Tesla prices the hardware path fairly, acknowledges what early adopters are owed, and delivers V14-lite on the June timeline it committed to today, it has a real opportunity to convert one of the longest-running sore subjects among early adopters into a loyalty story.
Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
Investor's Corner
Tesla (TSLA) Q1 2026 earnings results: beat on EPS and revenues
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
- Revenues – $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow – $1.444 billion
- Profit – $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
