The Metro Nashville Airport Authority (MNAA) has approved a 40-year agreement with Elon Musk’s The Boring Company to build the Music City Loop, a tunnel system linking Nashville International Airport to downtown. 

After eight months of negotiations, MNAA board members voted unanimously on Feb. 18 to move forward with the project. Under the terms, The Boring Company will pay the airport authority an annual $300,000 licensing fee for the use of roughly 933,000 square feet of airport property, with a 3% annual increase.

Over 40 years, that totals to approximately $34 million, with two optional five-year extensions that could extend the term to 50 years, as per a report from The Tennesean.

The Boring Company celebrated the Music City Loop’s approval in a post on its official X account. “The Metropolitan Nashville Airport Authority has unanimously (7-0) approved a Music City Loop connection/station. Thanks so much to @Fly_Nashville for the great partnership,” the tunneling startup wrote in its post. 

Once operational, the Music City Loop is expected to generate a $5 fee per airport pickup and drop-off, similar to rideshare charges. Airport officials estimate more than $300 million in operational revenue over the agreement’s duration, though this projection is deemed conservative.

“This is a significant benefit to the airport authority because we’re receiving a new way for our passengers to arrive downtown at zero capital investment from us. We don’t have to fund the operations and maintenance of that. TBC, The Boring Co., will do that for us,” MNAA President and CEO Doug Kreulen said. 

The project has drawn both backing and criticism. Business leaders cited economic benefits and improved mobility between downtown and the airport. “Hospitality isn’t just an amenity. It’s an economic engine,” Strategic Hospitality’s Max Goldberg said.

Opponents, including state lawmakers, raised questions about environmental impacts, worker safety, and long-term risks. Sen. Heidi Campbell said, “Safety depends on rules applied evenly without exception… You’re not just evaluating a tunnel. You’re evaluating a risk, structural risk, legal risk, reputational risk and financial risk.”

Tesla has announced a crazy new Full Self-Driving milestone, as it has officially confirmed drivers have surpassed over 8 billion miles traveled using the Full Self-Driving (Supervised) suite for semi-autonomous travel.

The FSD (Supervised) suite is one of the most robust on the market, and is among the safest from a data perspective available to the public.

On Wednesday, Tesla confirmed in a post on X that it has officially surpassed the 8 billion-mile mark, just a few months after reaching 7 billion cumulative miles, which was announced on December 27, 2025.

Tesla owners have now driven >8 billion miles on FSD Supervisedhttps://t.co/0d66ihRQTa pic.twitter.com/TXz9DqOQ8q

— Tesla (@Tesla) February 18, 2026

The number of miles traveled has contextual significance for two reasons: one being the milestone itself, and another being Tesla’s continuing progress toward 10 billion miles of training data to achieve what CEO Elon Musk says will be the threshold needed to achieve unsupervised self-driving.

The milestone itself is significant, especially considering Tesla has continued to gain valuable data from every mile traveled. However, the pace at which it is gathering these miles is getting faster.

Secondly, in January, Musk said the company would need “roughly 10 billion miles of training data” to achieve safe and unsupervised self-driving. “Reality has a super long tail of complexity,” Musk said.

Training data primarily means the fleet’s accumulated real-world miles that Tesla uses to train and improve its end-to-end AI models. This data captures the “long tail” — extremely rare, complex, or unpredictable situations that simulations alone cannot fully replicate at scale.

This is not the same as the total miles driven on Full Self-Driving, which is the 8 billion miles milestone that is being celebrated here.

The FSD-supervised miles contribute heavily to the training data, but the 10 billion figure is an estimate of the cumulative real-world exposure needed overall to push the system to human-level reliability.

xAI has announced that it now employs nearly 3,000 people in Memphis, marking more than two years of local presence in the city amid the company’s supercomputing efforts. 

The update came in a post from the xAI Memphis account on social media platform X.

In a post on X, xAI’s Memphis branch stated it has been part of the community for over two years and now employs “almost 3,000 locally to help power Grok.” The post was accompanied by a photo of the xAI Memphis team posing for a rather fun selfie. 

“xAI is proud to be a member of the Memphis community for over two years. We now employ almost 3,000 locally to help power @Grok. From electricians to engineers, cooks to construction — we’re grateful for everyone on our team!” the xAI Memphis’ official X account wrote. 

xAI’s Memphis facilities are home to Grok’s foundational supercomputing infrastructure, including Colossus, a large-scale AI training cluster designed to support the company’s advanced models. The site, located in South Memphis, was announced in 2024 as the home of one of the world’s largest AI compute facilities.

The first phase of Colossus was built out in record time, reaching its initial 100,000 GPU operational status in just 122 days. Industry experts such as Nvidia CEO Jensen Huang noted that this was significantly faster than the typical 2-to-4-year timeline for similar projects.

xAI chose Memphis for its supercomputing operations because of the city’s central location, skilled workforce, and existing industrial infrastructure, as per the company’s statements about its commitment to the region. The initiative aims to create hundreds of permanent jobs, partner with local businesses, and contribute to economic and educational efforts across the area.

Colossus is intended to support a full training pipeline for Grok and future models, with xAI planning to scale the site to millions of GPUs.