News
I took a Tesla Cybertruck Demo Drive — Here’s what I learned
Upon learning that Tesla was offering Cybertruck Demo Drives across the United States, I decided to sign up for one. I have not gotten my hands on what is inarguably the most unorthodox vehicle on the market right now (and likely ever), but I’ve been lucky enough to see plenty of them in Pennsylvania, Maryland, and Florida, where I took a vacation in April.
I went in with a very open mind. I love to drive a larger vehicle, and a pickup truck, while I’ve never owned one due to lack of necessity, is probably my favorite thing to journey around in.
I decided to book the Demo Drive at the West Chester, Pennsylvania, Showroom just outside of Philadelphia. I took the roughly 90-minute ride out to Chester County on Tuesday. Here’s what I learned from my 30-minute ride:
First things first, it’s a modern marvel of vehicle engineering
While I’ve seen a lot of Cybertrucks, I’ve never gotten up close and personal with one. I don’t necessarily feel super comfortable walking up to anyone’s car and doing a deep examination, so I waited for the right opportunity.
The Cybertruck is obviously eye-catching, but I was really impressed with how this one looked in terms of build quality.
I know that there were some issues early on with Cybertrucks, but it’s no surprise that something like this would be relatively difficult to put together early on. I didn’t see many inadequacies in how these units were built.
There were two parked out front and so many readying for customer deliveries in the back. According to the employee I took my Demo Drive with, they had delivered 300 units so far.
You don’t really feel like you’re driving a pickup
I’ve driven a lot of trucks in my life: F-150s, F-250s, Dodge Rams, Toyota Tundras, and Tacomas.
One thing I noticed getting into the Cybertruck, it doesn’t really feel like you’re driving a truck. It feels sporty, fast, and agile. I was impressed by that, I am not sure what it was about it; perhaps it was the standard ride height or just the overall design of the pickup. I feel like I sit up much higher in a traditional pickup.
The F-150 Lightning, for example, feels like you’re sitting in a regular truck: you’re up high, it feels wide and bulky. It’s in no way sporty. It’s fast, because it’s an EV, but it’s a completely different feel.
It truly captures what Tesla meant when it said it wanted to redesign the pickup.
Steer-by-Wire is incredible
The showroom employee I spoke to said that they have trouble turning a Model 3 around through their narrow parking lots. If they need to swing it around, they can do it, but it requires a multiple-point turn.
He then told me that thanks to the steer-by-wire on the Cybertruck, this wasn’t as much of a task. “We actually have less of a hassle getting the Cybertruck turned around. It’s amazing.”
I had to make a U-turn during a portion of my drive, and I was also told that a traditional pickup truck driver had to back their vehicle up to make the turn. When they were tasked to do the same turn in the Cybertruck, they didn’t trust that it would make it.
It did without any issues.
I felt like it was a very easy adjustment. It took all of 30 seconds to get used to the more advanced turning system in the Cybertruck compared to a regular vehicle. It is probably my favorite part about the whole truck.
It’s fun to drive on open routes and backroads
I remember writing about how much fun the Model 3 Highland was to drive on backroads. The Cybertruck is probably just as fun.
But it also is really fun to drive out in the open on state routes that are busy and have multiple lanes. Some cars get kind of monotonous on the straightforward streets. I wasn’t really ever bored with it (maybe I would be after more than 30 minutes).
It was smooth and fast and hugged corners really well. I never questioned taking turns in it, even sharp ones when I was at a stop sign. It just handled and drove really well, and I do think the steer-by-wire was a big reason for that.
I would get it wrapped
One thing that stood out to me a lot was the overwhelming amount of fingerprints on the door.
This was pretty much a non-negotiable argument that I would absolutely get my Cybertruck wrapped if I ever decide to snag one. I wouldn’t want to constantly be wiping these things off, even though I really love the stainless steel. Matte black would be my choice.
So … will we see each other again?
— Cybertruck (@cybertruck) August 14, 2024
Final Thoughts
I really enjoyed my drive. I have been a fan of the Cybertruck since it was unveiled in 2019. It’s hard to believe I was only with Teslarati for a few months at that point, and here I am five years later, and this truck is now being seen pretty frequently.
Whether you’re a fan of it or not, I would really recommend you go see it and check out all the awesome features. Even if you have no intention of buying one, go take a drive and feel the steer-by-wire, the unique size, and agility of such a large truck, and take in what is one of the coolest cars out on the market right now.
I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.
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.”
News
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
