Connect with us

News

Lucid releases Laguna Seca lap time, but it’s not Tesla Plaid fast

Credit: Twitter | Lucid Motors

Published

on

Lucid has officially released its Laguna Seca lap time for the Tri-Motor variant of the Air, but it is not quite as fast as the Tesla Model S Plaid Powertrain.

Lucid set a “personal best” at Laguna Seca with an out-of-the-box lap time of 1:31.3. An impressive lap time for a brand new automaker, the Air still beat cars like the Ferrari 488 GTB, Porsche 911 Turbo S, and the Dodge Viper SRT-10 ACR.

But, it is still a second slower than the Plaid Model S that Tesla unveiled during the Battery Day event on September 22nd.

Advertisement
-

The performance from the Lucid Air is undoubtedly impressive. Lucid is a relatively new manufacturer, and the Air is the first car that the company has ever made. The Tri-Motor variant is its fastest configuration of the vehicle, and at one point, it smashed the Model S Plaid’s record that Tesla had set upon announcing the new powertrain in late 2019.

Tesla’s initially recorded time of 1:36.555 seconds was the track record at the 2.238-mile Laguna Seca raceway. On September 17th, 2020, the Lucid Air ran what seemed to be a 1:33-second lap at the track, which was recorded on video by The Kilowatts. This would have beat the Model S Plaid’s lap time by over 3.5 seconds, a considerable margin in automotive racing.

Lucid confirmed that the lap time was 1.31.3 seconds, making it a “personal best” at the track for the new automaker. It was not a track record for production models, however. The Plaid Model S ran a 1:30.3-second lap, a record for fully-electric vehicles at the track.

The rivalry that has come between Lucid and Tesla in recent memory has come from performance-based standards, and not with EV tech. Lucid has boasted its ability to run impressively fast quarter-miles and quick laps around Laguna Seca. But it seems that Tesla’s improvements to the Model S Plaid Powertrain over the past year have simply eclipsed Lucid’s tech for now.

Advertisement
-

The two companies seem to be indirectly competing with one another in order to establish themselves as the king of EV performance. Interestingly enough, both Lucid and Tesla are continuing to improve their vehicles and powertrains, and it seems that the battle may be far from over.

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

Advertisement
Comments

Elon Musk

Tesla is fixing Full Self-Driving’s pothole problem

Published

on

Tesla Model Y L in a field
Credit: Tesla

Tesla Full Self-Driving is set to get a major fix with pothole avoidance, a feature that CEO Elon Musk said recently was “coming soon.” The feature has been included within the FSD v14 release notes for some time as an upcoming improvement.

Potholes come in all shapes and sizes, but one thing is universal about them, and that is the fact that every driver wants to avoid them. Driving into or over a pothole can cause tire and wheel damage, alignment issues, and even, in some more severe instances, injury to occupants or major damage to a vehicle in despair.

Tesla Cybercab uses a unique strategy for picking up the right rider

Musk said late last night in a post that pothole avoidance while utilizing the Full Self-Driving suite is “coming soon.”

Advertisement
-

Full Self-Driving, even in its most recent and robust forms, still has its shortcomings. While the suite has performed exceptionally well with avoiding on-road obstacles like cardboard boxes, horse droppings, car parts, and other debris, it still seems to struggle with recognizing certain things.

Potholes and other abrupt changes in a road’s layout are things that FSD still tends to struggle with. Perhaps the suite’s 3D modeling is still in need of some additional data or some sort of script that will help it to avoid a potentially destructive pothole or bump in the road that would be easily recognizable by the human eye.

Musk has mentioned pothole avoidance for some time, with the initial idea coming in April 2019 when an owner first requested the feature. Musk said that Tesla would “definitely” develop pothole avoidance.

In August 2020, Musk said Tesla was in the process of labeling bumps and potholes so cars can either slow down or steer around them altogether.

Tesla to utilize micro maps for pothole-detection in future update

Avoiding major disturbances in the road is a necessary feature for Full Self-Driving to have, especially as Tesla is working toward a fully autonomous program that will eventually allow every occupant in the vehicle to sleep, work, or enjoy leisure time while traveling.

Advertisement
-

That truly begins this week with the launch of Cybercab on Thursday.

Continue Reading

Elon Musk

Elon Musk says he knows how to save Earth for a billion years

Elon Musk says sentient AI satellites launched from the Moon could keep Earth livable forever.

Published

on

By

Elon Musk spent part of his weekend describing a plan to keep the planet livable for roughly a billion years, and it starts with satellites that can think for themselves.

In a post on X, Musk argued that swapping fossil fuels for solar and wind power will not be enough to protect humanity from what he called extremely severe extinction events, the kind that occur roughly every 100 million years. His fix is what he called sentient satellites, or solar-powered satellites, controlled by AI, that would sit in a fixed spot between Earth and the Sun after being launched off the Moon using a giant electromagnetic catapult instead of rockets.

The satellites’ onboard AI would make continuous, small adjustments rather than waiting on human instructions. The mass driver is Musk’s proposed way of getting the raw material there cheaply by using an electromagnetic launch track built on the Moon, where lower gravity and no atmosphere make it far easier to fling cargo into space than it is from Earth.

Musk shared a Grok generated estimate suggesting roughly 5 percent of Florida’s land, or about 1.68 million acres, could face regular flooding by 2070 under a high sea level rise scenario, and said humanity has about 50 years to act before coastal living looks very different than it does today.

Advertisement
-

This is not the first time Musk has floated the idea. He raised a similar concept in November, describing a solar powered AI satellite constellation that could make tiny adjustments to incoming sunlight to fine tune Earth’s temperature. Musk has also tied planetary risk to his broader vision at SpaceX, where his compensation package is explicitly linked to establishing a self-sustaining Mars colony, one he has described as an insurance policy against the kind of extinction event he referenced this weekend, and where he has said humans could set foot within five to seven years.

Continue Reading

Elon Musk

OpenAI cites distrust of SpaceX in decision to drop Cursor partnership

OpenAI will cut SpaceX-owned Cursor’s model access in November, citing Musk’s history of broken contracts.

Published

on

By

OpenAI, the company behind ChatGPT, announced late Friday that it is ending its partnership with Cursor, cutting off the coding tool’s access to its models on November 12. The move comes two weeks after SpaceX completed its $60 billion acquisition of Cursor’s parent company, Anysphere, folding the popular AI coding assistant into Elon Musk’s growing SpaceXAI division.

In a post on its website, OpenAI said the decision came down to trust, not technology. “We cannot be confident that SpaceX will use our technology within our terms of service, based on our experience with Elon Musk’s companies violating contracts,” the company wrote. OpenAI pointed to two specific incidents: X, now part of SpaceX, allegedly breaking the terms of an existing OpenAI contract after Musk bought Twitter.

That lawsuit is the backdrop for all of this. Musk cofounded OpenAI in 2015, left the board in 2018, and sued Sam Altman and Greg Brockman in 2024, arguing they abandoned the company’s nonprofit mission for profit. A federal jury sided with OpenAI in May, finding Musk waited too long to sue rather than ruling on the merits of his claims. Musk said at the time he would appeal to the Ninth Circuit, calling the outcome a “calendar technicality” rather than a real judgment.

Elon Musk breaks silence on OpenAI trial decision

SpaceX’s interest in Cursor predates that verdict by weeks. The company first struck a deal with Cursor in April, securing an option to acquire it for $60 billion or pay $10 billion for joint development work instead. As Teslarati reported at the time, the logic was straightforward: Cursor was paying retail prices to Anthropic and OpenAI, two of its most direct competitors, every time a developer used its product, while SpaceX had idle capacity on its Colossus supercomputer, roughly the equivalent of a million Nvidia H100 GPUs, that Cursor could use to train its own models instead. SpaceX exercised the option in June, days after its own IPO, and the deal closed in mid-August.

Once it closed, Musk moved fast. On an all-hands call with more than 1,000 Cursor employees, he reportedly told staff that SpaceXAI’s Grok was playing catchup in the AI race, unlike Tesla and SpaceX in their own markets, and singled out Anthropic as the company to catch. Cursor CEO Michael Truell now reports directly to Musk inside SpaceXAI.

Advertisement
-

Elon Musk admits he was ‘clearly wrong’ about Anthropic

Losing OpenAI’s models leaves Cursor leaning harder on Anthropic’s Claude, which has its own compute agreement with SpaceX, and on Cursor’s in-house Composer model, the one SpaceX’s compute was supposed to accelerate in the first place. OpenAI framed the November deadline as maximum notice under its contract, and said it wants to “go above and beyond” to help developers through the transition. Whether Anthropic makes the same call is now the open question in AI coding.

Continue Reading