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‘Daily driver’ Tesla Model Y achieves near-supercar lap times around Laguna Seca

(Credit: Unplugged Performance)

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One of the best things about Tesla’s electric cars is the fact that they could transition from being practical family haulers to high-performance vehicles without any effort at all. Take the Tesla Model Y, for example. Just recently, a Model Y with Unplugged Performance parts achieved near-supercar lap times in Laguna Seca, despite being a daily-driven vehicle that’s used for a lot of SUV-related purposes, like camping. 

Unplugged Performance is currently preparing a Tesla Model 3 equipped with its aftermarket Ascension-R package for the Pikes Peak Hill Climb event. Earlier this month, the Unplugged team opted to test the capabilities of its Pikes Peak Model 3 on the Laguna Seca raceway. Together with the Pikes Peak Model 3 was a Model Y that was also outfitted with Unplugged Performance parts. 

The modified Model Y had a few records of its own under its belt, setting the fastest lap ever recorded for a crossover SUV at the Buttonwillow Raceway last June. And as it turned out, the modified Model Y also ended up stunning during its outings at Laguna Seca. Just like its sibling, the Model 3 Ascension R, which beat the Plaid Model S’ lap time, Unplugged’s Model Y was able to exhibit near-supercar times at the track despite being a pretty hefty crossover. 

(Credit: Unplugged Performance)

As could be seen in a video of its record-setting run at the racetrack, the Model Y and its driver, Oscar Jackson Jr., managed to complete a lap in 1:39.1, and that’s with the racetrack having traffic. But perhaps what’s even more impressive was the fact that the Model Y used for the run was a daily driver of Unplugged Performance founder Ben Schaffer. In fact, it was a vehicle that Ben slept comfortably in for two nights at the track’s campgrounds. 

With Tesla releasing the Model 3 and Model Y, the company has started to break into a market that values vehicles that offer a lot of utility and practicality. There’s simply very few vehicles that could hold a candle to Tesla’s Model Y in this sense. In the case of the Model Y’s Laguna Seca record, for example, it appears that the crossover SUV with the closest lap time was the Lamborghini Urus, which completed the track in 1:40.90. 

The Lamborghini Urus is priced far above the Model Y, usually costing about $200,000 or more, or about three times more expensive than the Model Y Performance, which starts at about $60,000. But perhaps what’s even more notable is that the Model Y Performance is actually Tesla’s most conservative “P-branded” vehicle. Other cars like the upcoming Plaid Model X will likely be even more extreme and capable on the track. 

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Watch Unplugged Performance’s Tesla Model Y set a record lap for crossover SUVs in Laguna Seca in the video below. 

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Grok 3 by xAI Rolls Out on Azure AI Foundry with Free Trial

Grok 3 is now on Azure AI Foundry with a free preview until early June. From code to vision, Grok joins a growing roster of powerhouse models.

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(Credit: xAI)

xAI’s Grok 3 model is now available on Microsoft’s Azure AI Foundry Models, launching with a free preview to drive AI innovation. The collaboration marks a significant step in making advanced AI accessible to developers worldwide.

Grok 3 became available on Microsoft’s Azure AI Foundry Models on May 19, 2025. Developers can explore xAI’s Grok 3 at no cost through early June. After the free trial period, Grok 3 prices will be as follows:

“Microsoft and xAI are thrilled to unveil the availability of Grok 3 into the Azure AI Foundry Models, marking a significant milestone in AI accessibility and innovation,” Microsoft stated in its announcement.

The partnership integrates xAI’s cutting-edge model with Azure’s secure, scalable infrastructure, enabling enterprise scenarios in reasoning, coding, and visual processing. Grok 3 is accessible via Azure AI Foundry’s catalog, alongside models from OpenAI, Meta, Cohere, NVIDIA, and Hugging Face, reflecting Microsoft’s commitment to a diverse AI ecosystem.

“The addition of xAI’s Grok 3 underscores Microsoft’s commitment to support an open, diverse AI ecosystem, rather than relying on a single model provider,” the company noted.

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Like other AI models in Azure, developers can easily discover and deploy Grok 3’s model card. Grok 3 is also available for testing on GitHub models.

Microsoft provides two flexible deployment options for integrating xAI’s Grok 3 into applications: Standard Pay-Go or Provisioned Throughput Units (PTUs). The Standard Pay-Go option allows pay-per-token API calls for quick scaling. Meanwhile, the PTUs are better for reserved capacity with predictable latency.

“For production scenarios where you expect steady high volume or need strict latency, provisioning Grok 3 with PTUs can be cost-effective and reliable,” Microsoft advised.

The launch of Grok 3 on Azure AI Foundry empowers developers to build intelligent assistants, process large documents, or explore new AI applications. As xAI and Microsoft combine innovation with robust tools, Grok 3’s arrival signals a new era of AI development, inviting creators to leverage its capabilities and shape the future of technology.

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Tesla Robotaxi deemed a total failure by media — even though it hasn’t been released

Nearly two weeks before it is even set for its planned rollout, Tesla Robotaxi has already been deemed a failure — even though it is not even publicly released.

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Credit: Tesla

Tesla Robotaxi is among the biggest tech developments of the year, and its June launch date has not yet arrived.

This does not matter to skeptics of the company, as they have already deemed the rollout a “failure,” “an enormous mess,” and plenty of other adjectives. No matter what, several outlets are already leaning on biased opinions and a lack of true evidence that points in any direction.

Futurism posted an article this morning claiming that Robotaxi is “already an enormous mess,” citing the opinions of Dan O’Dowd, perhaps Full Self-Driving’s biggest critic. There is no mention of any of the excitement or prosperity that would come from the opposite side of the argument.

Instead, it included that O’Dowd felt it was a failure in an 80-minute drive around Santa Barbara.

This is fair to include: Full Self-Driving is not perfect, which is why Tesla will implement safeguards like teleoperation at first. However, it’s not like it’s so awful it isn’t even remotely close. Personally, my experience with FSD was incredibly successful, responsible, and it was something I still wish I had on my car to this day. I wish the article would have included a quote from someone who is as equally passionate about FSD, just from the other side of the argument.

Credit: Tesla

There is no mention of Tesla’s most recent Vehicle Safety Report, which showed Autopilot-enabled cars are nearly 10x less likely to be involved in an accident compared to the national average. This might not be the same as Full Self-Driving, but it is still a testament to what Tesla has achieved with its driver assistance systems.

To be fair, Tesla has been a company that has missed timelines, especially when it comes to FSD. I used to roll my eyes a bit when CEO Elon Musk would say, “We’ll have Full Self-Driving finished by the end of the year,” or “We’ll have a million robotaxis on the road next year.” I was always skeptical.

However, Tesla has handled things differently this year. They’ve admitted the Robotaxi rollout will be controlled at first, including a fleet of only 10-20 Model Y vehicles. It will be private at launch, and only the lucky invited will have the opportunity to experience it in Austin in June.

It might be less than a public rollout, which of course, for people like you and me, is disappointing. But let’s be real: if Tesla launched a full-blown Robotaxi platform with no regulations or small-batch testing, there would be criticism of that, too.

Some media outlets are pointing to the recent NHTSA request for more information on how Tesla’s tech will “assess the ability of Tesla’s system to react appropriately to reduced roadway visibility conditions.” This seems more than reasonable as Robotaxi will be among the first driverless ridesharing programs in the United States.

Tesla gets new information request from NHTSA on Robotaxi rollout

It’s no more than a request for information on how things will be handled and how the tech works.

It is sad to see so many outlets already deem something that could be the next big thing as a failure, despite there being no real indication of it being that or a success. Let’s be fair and give Tesla an opportunity to meet its June target and Robotaxi some time to operate and prove to be a reliable ride-share option.

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Tesla confirms annoying Full Self-Driving feature has been fixed

Tesla has changed one of its driver monitoring features in a request from several owners.

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Tesla has confirmed that an annoying Full Self-Driving feature has been fixed.

We reported last week that several owners reported changes in the feature, and now we have confirmation that it has been revised by Tesla.

Tesla Full Self-Driving (Supervised) does not require a driver’s hands to be on the steering wheel. However, eye movements and attentiveness are tracked through a cabin-facing camera, aiming to improve safety and limit loopholes in the system.

Tesla seems to have fixed one of Full Self-Driving’s most annoying features

If the system detects that your eyes are not on the road or you are not paying attention, FSD will nudge you to get them back on the road. Too many occurrences of the driver not paying attention will result in losing access to FSD for the remainder of the drive.

However, many drivers using FSD complained that the system was too quick to alert drivers of inattentiveness. Fixing things like the HVAC temperature or even Autopilot settings on the center touchscreen would get you a nudge, which seemed unreasonably fast. Many drivers said it was a seven-second limit, but it seemed faster than this.

In my experience, FSD nudged me to pay attention to the road when I was adjusting the speed offset, which gives the vehicle permission to travel over the speed limit by a percentage. For example, a 10% offset in a 50 MPH zone would let the car travel 55 MPH.

The nudging seemed to be too fast and annoying, and many other Tesla drivers agreed. CEO Elon Musk had even noted that the nudge was too fast and drivers were right to be annoyed with it, especially considering that, in theory, it would be safer to adjust these settings on FSD and not while operating the car manually.

Tesla took the criticism drivers had and turned it into a much-needed and notable change that has now been confirmed by Ashok Elluswamy, Head of AI and Autopilot for the company:

The change seems to be initiated on vehicles with Hardware 4. It is certainly a welcome change as the nudge was just a tad sensitive and could have been much more reasonable.

The adjustment made by Tesla came just a week after owners truly started becoming more vocal about the issue.

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