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Tesla Model 3 Autopilot in stop-and-go traffic with easter egg ‘on’

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Tesla Model 3 owners are beginning to experience the benefits of Autopilot as they continue to log more miles driven and assist in calibration of the vehicle’s suite of cameras, radars and ultrasonic sensors.

YouTuber stannous2 who previously gave us a look at Model 3’s newly enabled Parallel and Perpendicular Autopark feature is back with a video that shows how Model 3 handles stop-and-go traffic with Autopilot engaged. As a bonus, we also get a glimpse of Tesla’s psychedelic ‘rainbow road’ easter egg being applied on a Model 3.

With Autosteer engaged as denoted by a solid blue steering wheel icon that appears on Model 3’s touchscreen, the vehicle is able to leverage Traffic-Aware Cruise Control (TACC) and adjust its speed relative to the car in front of it, accelerating and decelerating as needed. TACC was first introduced in January 2015 under Tesla Firmware 6.1 for Model S vehicles that were equipped with Autopilot 1.0 hardware.

The initial set of Tesla Model 3 features does not appear to include the ability to adjust TACC’s following distance to the vehicle in front, but does include the ability to monitor cars ahead. By bouncing radar signals beneath and around a car, a methodology that was first revealed when Tesla overhauled its Autopilot system in September 2016, Model 3 is able to leverage similar technology and see two cars ahead, thereby allowing it to better react to heavy braking events. It’s not clear if the latest software version for Model 3 includes Tesla’s Automatic Emergency Braking feature or will arrive in a future over-the-air software update.

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For now, check out stannous2’s video and watch as their Model 3 reacts to stop-and-go traffic while driving on Autopilot. We’ve also provided a list of previous articles that include video-reviews of Model 3 features.

 

https://www.youtube.com/watch?v=_YsIQSgISj8

Gene has been obsessed with cars since before he could legally sit in the front seat. Writer, researcher, unofficial CS support, accountant, native suit guy when needed, and overall stick poker. He approaches every story the way he approaches a road trip: with too much enthusiasm, not enough planning, and a surprisingly good outcome. gene@teslarati.com

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Elon Musk’s xAI wins permit for power plant supporting AI data centers

The development was reported by CNBC, citing confirmation from the Mississippi Department of Environmental Quality (MDEQ).

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Mississippi regulators have approved a permit allowing Elon Musk’s artificial intelligence company xAI to construct a natural gas power plant in Southaven. The facility is expected to support the company’s expanding AI infrastructure tied to its Colossus data center operations near Memphis.

The development was reported by CNBC, citing confirmation from the Mississippi Department of Environmental Quality (MDEQ).

According to the report, regulators “voted to approve the permit” of xAI subsidiary MZX Tech LLC to construct a power plant featuring 41 natural gas-burning turbines “after careful consideration of all public comments and community concerns.”

The Mississippi Department of Environmental Quality stated that the permit followed a regulatory review process that included public comments and community input. Jaricus Whitlock, air division chief for the MDEQ, stated that the project met all applicable environmental standards.

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“The proposed PSD permit in front of the board today not only meets all state and federal permitting regulations, but goes above and beyond what is required by law. MDEQ and the EPA agree that not a single person around our facilities will be exposed to unhealthy levels of air pollution,” Whitlock stated.

The planned facility will help provide electricity for xAI’s AI computing infrastructure in the Memphis region.

The Southaven project forms part of xAI’s efforts to scale computing capacity for its artificial intelligence systems.

The company currently operates two major data centers in Memphis, known as Colossus 1 and Colossus 2, which provide computing power for xAI’s Grok AI models. xAI is also planning to build another large data center in Southaven called Macrohardrr, which would be located in a warehouse previously used by GXO Logistics.

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Large-scale AI training requires substantial computing power and electricity, prompting technology companies to develop dedicated energy infrastructure for their data centers.

SpaceX President Gwynne Shotwell previously stated that xAI plans to develop 1.2 gigawatts of power capacity for its Memphis-area AI supercomputer site as part of the federal government’s Ratepayer Protection Pledge. The commitment was announced during an event with United States President Donald Trump.

“As part of today’s commitment, we will take extensive additional steps to continue to reduce the costs of electricity for our neighbors. xAI will therefore commit to develop 1.2 GW of power as our supercomputer’s primary power source. That will be for every additional data center as well. We will expand what is already the largest global Megapack power installation in the world,” Shotwell said.

“The installation will provide enough backup power to power the city of Memphis, and more than sufficient energy to power the town of Southaven, Mississippi where the data center resides. We will build new substations and invest in electrical infrastructure to provide stability to the area’s grid.”

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Tesla China teases Optimus robot’s human-looking next-gen hands

The image was shared by Tesla AI’s account on Weibo and later reposted by Tesla community members on X.

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Credit: Tesla China

A new teaser shared by Tesla’s China team appears to show a pair of unusually human-like hands for Optimus. 

The image was shared by Tesla AI’s account on Weibo and later reposted by Tesla community members on X.

As could be seen in the teaser image, the new version of Optimus’ hands features proportions and finger structures that look strikingly similar to those of a human hand. Their appearance suggests that they might have dexterity approaching that of a human hand.

If the image reflects a new generation of Optimus’ hands, it could indicate Tesla is continuing to refine one of the most critical components of its humanoid robot.

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Hands are widely viewed as one of the most difficult engineering challenges in robotics. For Optimus to perform complex real-world work, from manufacturing tasks to household activities, its hands would need to be the best in the industry.

Elon Musk has repeatedly described Optimus as Tesla’s most important long-term product. In posts on social media platform X, Musk has stated that Optimus could eventually become the first real-world Von Neumann machine.

In theory, a Von Neumann machine is a self-replicating system capable of building copies of itself using available materials. The concept was originally proposed by mathematician John von Neumann in the mid-20th century.

“Optimus will be the first Von Neumann machine, capable of building civilization by itself on any viable planet,” Musk wrote in a post on X.

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If Optimus is expected to carry out complex work autonomously in the future, high levels of dexterity will likely be essential. This makes the development of advanced robotic hands a key step towards Musk’s long-term expectations for the product.

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Tesla Cybercab ramps Robotaxi public street testing as vehicle enters mass production queue

Recent sightings on public roads and growing fleet activity at Giga Texas signal Tesla’s accelerating push toward the Cybercab’s commercial launch.

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Tesla Cybercab spotted in San Jose, CA testing on public roads with Robotaxi validation equipment [Credit: Nic Cruz Patane via X]

Tesla Cybercab is being spotted with increasing frequency both on public roads and across the grounds of Gigafactory Texas, suggesting that the company’s road testing and validation program is ramping meaningfully ahead of mass production.

A total of 25 Cybercab units were recently observed across three separate locations at Giga Texas by drone observer Joe Tegtmeyer — with 14 metallic gold units parked in a tight formation outside the factory exit, nine more at the crash testing facility undergoing structural and safety validations, and two additional units at the west end-of-line area for final checks.

The activity on public roads is just as telling. The Cybercab was spotted testing on public roads for the first time last October, near Tesla’s Engineering Headquarters in Los Altos, California, marking a significant development in the vehicle’s progression toward commercial readiness. As expected at that early stage, a safety driver was present in the seat.

Since then, sightings have only become more frequent. Community observers on X have posted fresh footage of Cybercabs navigating public streets in Silicon Valley, with each new clip adding to a growing body of evidence that Tesla’s validation efforts are well underway. The production backdrop supports the momentum. Tesla’s production line at Giga Texas moved into a higher volume early in March, representing what observers are calling the largest single-day grouping of Cybercabs seen to date.

Tesla Cybercab spotted testing on public roads in Los Gatos, CA – March 10, 2026 [Credit: Osman Sarood via X]

CEO Elon Musk has been clear-eyed about what to expect from the ramp. “It’s an all-new product and radical redesign of car manufacturing to achieve ~5X higher production rate, which means the output S-curve will be very slow in the beginning, but ultimately super high volume,” Musk wrote on X. “For Cybercab and Optimus, almost everything is new, so the early production rate will be agonizingly slow, but eventually end up being insanely fast.”

Tesla ramps Cybercab test manufacturing ahead of mass production

Musk has also stated that Tesla is aiming for at least 2 million Cybercab units per year across more than one factory, with a potential ceiling of 4 million annually.

With testing activity on public roads accelerating and factory output visibly increasing week over week, the coming months at Giga Texas are set to be pivotal in determining how quickly Tesla can bring the Cybercab from validation to volume.

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