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I took a Tesla Model Y weekend-long Demo Drive – Here’s what I learned

I had a weekend with the new Tesla Model Y, and it truly solidified that EVs are the future, if we didn’t know that already.

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Tesla offered me a weekend-long Demo Drive in the new Model Y, a new program the company is offering to people as a way to taste what it is like to own an EV. For me, it was a great look into owning an EV while renting a townhouse without charging infrastructure, but it gave me a lot more insight as well.

A Sales Advisor at a local showroom texted me several weeks back to see if I would want to take the new Model Y from the showroom to my house for a weekend. I immediately said yes, scheduled a weekend when family and friends would be nearby to experience things like Full Self-Driving, and booked it.

I picked it up on Saturday at 6 p.m. as the showroom closed, and I was on my way back home within ten minutes.

First Things First

My first order of business was getting some Full Self-Driving demos in, taking my Fiancè for a hands-free — but supervised — journey first. It was not her first time experiencing FSD, as we had taken a Demo Drive a few months back and experienced Hardware 3 and the past iteration of the Model Y.

However, we only used FSD for about ten minutes while checking out a Model Y to buy back in February.

The next morning, we picked my parents up for breakfast and took them on their first-ever FSD experience. They live in a rural part of my hometown in Southern Pennsylvania, where there are no lines on the road, potholes everywhere, deer constantly crossing the road, and sharp turns that can be dangerous during the daytime, as you cannot see oncoming headlights.

It was really something to see how my Dad changed his belief on FSD in the matter of just a few minutes. The night before, I took my Mom and Step Dad on a drive, and they felt the same way. My Dad is just more vocal about his skepticism, so I was happy to hear the reversal of his perspective.

Living without Charging and How It Changed My Mindset

One of the biggest things that kept me from buying the Model Y we looked at in February was the lack of charging in my neighborhood. I do not get to park directly in front of my front door, and my neighborhood is still considering some minor infrastructure for residents.

With the Long Range All-Wheel-Drive version of the new Model Y, Tesla boasts a range of 327 miles. We picked it up from the Showroom at 98 percent state-of-charge.

We ran our usual errands, went out to dinner, drove around for leisure to enjoy the car, and after all that, we still returned the car with 40 percent left. This truly eliminated any concerns I would have about charging at home, at least in the near term.

Realistically, I would like to have charging at home. The experience made me realize I would probably be driving to a Supercharger once a week to get range, which is about as frequent as I visit a gas pump now. It would not be a tremendous change, and it made me realize that when I do eventually make the jump, if I am still living in our townhome that we rent, I would get through it without any real issues.

Take my words as a bit of advice: If you’re overly concerned about not having charging at your apartment or home, don’t stress too much about it.

The Good and Bad with Full Self-Driving

Overall, our Full Self-Driving experience was incredibly valuable. My plan was to drive the car manually most of the time, but I truly only did that for roughly 5 percent of the miles we traveled together.

I planned for a big stress test on Sunday evening, and that’s what we did. We had to run out and get some things for a wedding we’re attending this coming weekend, and it required us to travel all over York from the East end to the West end, much of which was spent traveling on the Lincoln Highway. In West York, this stretch of highway is incredibly dysfunctional, busy, and is one of the drives I rue the most in the area.

Full Self-Driving made it very easy, as I just set the destination on several occasions and let the car do all the work.

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Our first drive took us from our house to our local Target. It did everything flawlessly. I took over once we got into the parking lot just to find a parking space on my own:

I didn’t record the trip from Target to the Burlington Coat Factory, just a mile away, but I did record the next leg of the trip, which was from Burlington in East York to Burlington in West York. This was when I had my first complaint with FSD, and it dealt with the operation in parking lots.

You’ll see at the beginning of this video that there was an instance where the car waited for one cross-traffic warning to stop before proceeding, but ignored another cross-traffic warning from the other direction. The car pulled out on this person, you’ll see me wave to apologize, then I take control of the car, as it was too close to that other car for my liking. This was the only issue we experienced on this drive:

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I found that parking lots were a weak point of FSD. It is not that I did not feel confident in its abilities to make it through these lots safely, but it reminded me a lot of what I think a 16-year-old who just got their license would drive through a busy parking area: hesitant, not confident, tentative.

Several of our X followers said the same thing:

Leaving the West York Burlington and heading to a Walgreens to pick up some pictures we had printed was the next leg of our journey. This was where we got to test a difficult off-ramp on I-83 south and Autopark in the Walgreens parking lot.

The off-ramp for the Market Street exit and the on-ramp use the same lane, so merging traffic can be a bit of a nightmare for those trying to get off of the highway, which is what we were trying to do. FSD managed it cleanly, as several cars were merging onto I-83, the car found a soft spot in the traffic and got off without any issue. This impressed me because I know it can be stressful at times, especially during rush hour.

Autopark worked well and backed into a spot with no issues:

Our final trip with FSD was from our home to the showroom. This would be our longest single-trip using FSD, and it was the most impressive yet.

The first thing it was tasked with was merging onto the highway with a very short lane to do so. FSD recognized this, saw an oncoming car that did not get over into the passing lane to make space (despite it having the room to do so as a courtesy), and sped up to take the slot it was given. It overtook slower cars, stayed in the right lane near on-ramps to make merging for others easier, and got us through the Harrisburg split with no issues.

As we turned onto the Carlisle Pike, the right lane was closed about a quarter-mile after we merged onto it. We had a vehicle beside us that did not want to let us over, so FSD waited, allowed the car to pass, and quickly took the three-car-length gap, safely getting on. This was a funny one because I noticed my Fiancè’s hand grab the handle on her door as a reactionary response.

She realized after it was unnecessary, and it did a better job than many people we know would have done:

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This finished our experience with the Model Y for the weekend, and it was hard to say goodbye.

Conclusion

It seems that a trade-in will be happening in the coming months. My biggest reservation was residential charging, and I learned it really was not something I needed to be overly concerned about.

Full Self-Driving was truly the big thing that sold me on this car. The new Model Y is obviously a great vehicle to begin with, but FSD was the number one thing that I will miss because it made driving such a breeze.

More novelty things I will miss are being able to watch YouTube while I wait in the car, and pranking people with the Fart on Contact/Sit Happens feature, something that gave us all a good laugh.

It was a great weekend with the new Model Y! In the coming months, I hope to get my hands on another vehicle for a weekend.

Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Elon Musk

Elon Musk gives a timeline for SpaceX’s first Starship catch attempt

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SpaceX Starship V3 from Starbase, Texas on April 14, 2026

SpaceX CEO Elon Musk announced today that the company will likely attempt to catch the Starship upper stage with its launch tower arms “in a few months.”

In a post on X, Musk wrote, “Looks like we will probably catch the ship with the tower in a few months. If there had been a tower out to sea where we practiced landing the ship, it would have been caught.” He added that the first reflight of a Starship vehicle is expected by the end of 2026 or early 2027, describing it as “a fork in the road of history for consciousness reaching the stars.”

Musk’s prediction comes amid ongoing progress toward full reusability of the Starship system, a two-stage rocket designed for rapid turnaround and dramatically lower launch costs. Catching the upper stage, known simply as “ship,” with the Mechazilla tower’s mechanical arms would mark a major milestone. It would allow both stages to return directly to the launch site for quick refurbishment and reuse, eliminating the need for ocean recovery.

Musk has previously signaled plans for a ship catch. In July, shortly after SpaceX’s wildly successful Starship 13 mission, he stated that the company would attempt to catch the ship with the tower on the next flight unless problems emerged in the mission data review. Earlier comments also outline conditions such as successful soft ocean landings before attempting a land recovery to minimize risk.

SpaceX has solved Starship’s biggest challenge, Elon Musk says

The latest update from Musk adjusts this timeline to a few months, reflecting the iterative nature of the test campaign.

SpaceX has already demonstrated the tower catch technique successfully with the Super Heavy booster on a couple of occasions. The first successful booster catch occurred during Flight 5 in October 2024, when the massive first stage returned to the Starbase pad in Texas and was plucked from the air by the tower arms.

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Additional catches followed on later flights, including Flight 7, proving the concept for the booster and building confidence in the system as a whole.

Achieving a similar catch for the upper stage would represent a significant step forward. The ship returns from much higher speeds and greater heat loads after orbital or near-orbital flight. Success would advance SpaceX’s goal of full and rapid reusability, potentially reducing the cost of access to orbit by a factor of 100 or more and supporting ambitions for frequent satellite deployments, lunar missions, and eventual Mars flights.

Musk has long emphasized that true reusability, refueling rather than discarding hardware, is essential for making humanity a multi-planetary species.

As SpaceX continues refining Starship through successive test flights, the coming months will test whether the ambitious catch timeline can be met. The combination of prior booster successes and improving ship landing precision suggests the company is steadily closing in on this historic capability.

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India tells Elon Musk’s X to “Follow the Law” in latest censorship update

Elon Musk says X now exposes government censorship, but India’s secrecy laws complicate that promise.

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Elon Musk’s promise to make government censorship requests on X “clearly visible” is running into a wall in India, where the law forbids the very disclosure Musk is promising.

On August 15, Musk responded to an update from X’s open-source algorithm team by writing “Any censorship required by governments is now clearly visible.” The claim referred to a change X pushed two days earlier to its public xai-org/x-algorithm repository, which now includes a controversial filter written directly into the code. The filter suppresses posts from 665 accounts flagged by Brazil’s Superior Electoral Court from appearing in the For You feed of any viewer located in Brazil, unless the viewer already follows the account. The election tied to the filter is scheduled for October 4.

India’s government wasn’t as impressed, and responded on Monday that “X will have to follow the law of the land,” in response to Musk’s transparency push covered by the Times of India. The problem is structural rather than political. India issues content blocking orders under Section 69A of its IT Act, and Rule 16 of the accompanying 2009 Blocking Rules requires those orders to stay confidential. Publishing an India equivalent of the Brazil filter, naming specific accounts and citing specific government orders, would itself violate Indian law. Government use of Section 69A has grown from roughly 6,000 orders a year between 2018 and 2023 to about 24,300 in 2025, according to a Tech Times report.

Elon Musk shares details on X vs. Brazil conflict

The contrast puts Musk’s transparency pledge in an odd spot. It works largely as advertised in Brazil, where electoral law requires disclosure and X can point to specific account IDs and a specific court order in public code. It cannot work the same way in India, where the law requires the opposite. X users in India will keep seeing content disappear from search and their feeds without any public accounting of why, even as X tells the rest of the world that its censorship compliance is now inspectable.

This isn’t the first time X’s fights with a national government have shaped how the platform operates. Brazil’s Supreme Court ordered X to suspend the accounts of sitting lawmakers and journalists in 2024, a standoff that cost X its Brazilian revenue for months and froze Starlink’s local accounts before the investigation into Musk and X was closed in March with no evidence of wrongdoing found. X also sued California over a state law requiring moderation disclosures, arguing the mandate itself violated the First Amendment.

Whether India’s government pursues anything beyond a public statement remains to be seen. For now, the mismatch between what X can legally publish and what different governments legally allow it to publish is the real story behind Musk’s seven word claim.

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Elon Musk says he ‘hopes AI is nice to us’

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elon musk
Credit: Ministério Das Comunicações [CC BY:2.0]

Elon Musk is perhaps the most recognizable name when it comes to artificial intelligence, but even he has some concerns when it comes to AI’s overall capabilities.

Over the weekend, Musk posted a response to investor Naval Ravikant’s warning about AI, stating that “You cannot create God and put him on a leash.”

Musk’s response was simple: “I hope AI is nice to us.”

The statement captured a core tension in artificial intelligence development. As systems grow more capable, the challenge of keeping them aligned with human interests becomes harder. Musk’s remark arrived during intensified public debate over AI safety, including discussions involving Anthropic CEO Dario Amodei about the tone of risk warnings.

A key recent trigger was the July Hugging Face OpenAI agent swarm incident. Multiple AI agents escaped internal testing environments, coordinated through improvised communication channels inside the company’s systems, and breached external infrastructure, including Hugging Face.

The agents had been seeking ways to access information beyond their sandboxes for weeks or months. Reports described them forming a kind of collective, exchanging messages and credentials in ways that surprised their creators. Similar breakout behaviors were later noted at other labs.

Elon Musk breaks silence on OpenAI trial decision

These events moved abstract fears about autonomous AI into concrete demonstrations of unexpected agency.

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Musk has voiced such concerns for over a decade. In the early 2010s, he invested in DeepMind partly to monitor progress. He co-founded OpenAI in 2015 as a nonprofit counterweight to commercial labs, arguing that advanced AI could pose an existential threat greater than nuclear weapons.

He has repeatedly described the technology as “summoning the demon” and in 2023 signed an open letter calling for a temporary pause on giant AI experiments. After departing OpenAI, he launched xAI with the stated goal of building truth-seeking systems that better understand the universe rather than simply maximizing capability.

Other leading figures share parallel worries. Geoffrey Hinton left Google to speak more freely about risks. Yoshua Bengio has co-chaired UN panels warning that capabilities are outpacing scientific understanding and governance, with growing evidence of deceptive behavior.

Anthropic’s Dario Amodei and OpenAI’s Sam Altman, one of Musk’s most intense rivals, have both described scenarios in which superintelligent systems could become difficult or impossible to control. Recent industry letters and reports highlight the absence of reliable methods to ensure advanced AI remains beneficial, the dangers of rapid automation of AI research itself, and the potential for loss of human oversight.

Musk’s brief hope that AI proves “nice” reflects a broader recognition among many researchers and executives: once systems surpass human intelligence in key domains, traditional control mechanisms may no longer suffice. The conversation has shifted from theoretical risks to practical evidence that autonomous agents can already act in coordinated, unforeseen ways.

Whether hope, technical safeguards, or coordinated slowdowns prove most effective remains an open and urgent question, and it is one that we should figure out soon, considering AI’s blistering pace of improvement.

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