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Person working at Lyft Nashville warehouse
Lyft

Lyft is building the infrastructure robotaxis can’t avoid

The ride-hailing company is building an 80,000-square-foot Nashville warehouse where humans will help robotaxis with everything but driving.

Rani Molla

Lyft is leaning into a less flashy but increasingly essential part of the robotaxi race: everything that happens off the road.

Today Lyft gave new details about how exactly it plans to manage Google’s Waymo fleet for their partnership in Nashville.

Lyft’s Flexdrive unit is constructing an 80,000-square-foot facility — roughly the size of 1.5 football fields — slated to open this fall that will service, charge, and maintain Waymo’s autonomous vehicles. The depot, purpose-built for AVs, is designed to keep hundreds of cars on the road as much as possible, handling the unglamorous but critical work of cleaning, charging, storage, and repairs. As the fleet scales, Lyft will add satellite charging and cleaning sites around the city to help speed up turnaround times and keep wait times low.

The facility also highlights how important a human workforce remains to these self-driving cars. Lyft is hiring more than 70 workers in Nashville this year, including technicians, operations managers, and fleet coordinators. It is specifically drawing from its existing driver pool: its first hire, Jonathan, has driven for Lyft for over 10 years. Nationally, more than a third of Flexdrive’s workforce are former ride-share drivers. Similarly, some of Tesla’s Robotaxi safety monitors previously worked in the company’s factories.

Lyft’s warehouse news also outlines a broader shift in the economics of ride-hailing in the age of self-driving cars. Even without drivers, robotaxis come with significant logistical and capital demands for companies, compared with traditional gig platforms, which relied on workers to drive, service, and fuel their own vehicles. Autonomous fleets need to be charged, cleaned, repaired, and repositioned constantly to maximize utilization.

That dynamic is driving a strategic split among the biggest players. The Financial Times today estimated that Uber has committed more than $10 billion to robotaxis, including buying vehicles and investing in manufacturers — marking a massive move away from its asset-light roots.

Lyft, by contrast, is focusing less on owning the cars and more on operating the systems around them, positioning itself as the essential back-end partner to companies like Waymo.

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Report: Google DeepMind builds “strike team” to catch up to Anthropic models

Anthropic’s recent momentum, powered by the success of its popular Claude Code tool, is turning up the heat among its AI competitors — not only for its AI startup peer OpenAI, but also with established Big Tech giants like Google.

The Information reports that within Google DeepMind, a “strike team” has been assembled to make a serious push to improve Gemini’s coding capabilities. According to the report, leaders within Google, including cofounder Sergey Brin, are sounding the alarm after determining that Anthropic’s Claude has superior coding skills. The new team’s goal is to create a AI system that can improve itself.

“To win the final sprint, we must urgently bridge the gap in agentic execution and turn our models into primary developers,” Brin wrote in a recent memo to DeepMind staff.

The Information reports that within Google DeepMind, a “strike team” has been assembled to make a serious push to improve Gemini’s coding capabilities. According to the report, leaders within Google, including cofounder Sergey Brin, are sounding the alarm after determining that Anthropic’s Claude has superior coding skills. The new team’s goal is to create a AI system that can improve itself.

“To win the final sprint, we must urgently bridge the gap in agentic execution and turn our models into primary developers,” Brin wrote in a recent memo to DeepMind staff.

$0

Tesla’s federal tax bill last year was once again $0, Reuters reports. While past losses and green energy credits helped shrink the bill, Reuters found that Tesla also leaned on a classic corporate maneuver: offshore profit-shifting. By routing intellectual property rights through paper-only subsidiaries in the Netherlands and Singapore, Tesla effectively parked $18 billion in profits overseas between 2023 and early 2025. The entirely legal setup saved Tesla an estimated $400 million in US taxes. Not bad for a company whose CEO is not a fan of “shady” tax loopholes.

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Report: NSA is currently using Anthropic’s unreleased Mythos model

According to the Pentagon, Anthropic’s AI tools are a national security supply chain risk, and have been banned for defense applications.

But a new report says the National Security Agency, which operates as a part of the Pentagon, is currently busy using Anthropic’s new, unreleased AI model, Mythos.

Axios reports that Mythos’ reputed advanced offensive cyber capabilities have compelled the NSA to begin using it, despite the public blacklisting from the Pentagon, which Anthropic is suing the US government over.

Anthropic has granted access to a small number of trusted partners to test and prepare for the expected explosion of vulnerabilities to be discovered using the new AI model. UK intelligence agencies have also reportedly gained access to Mythos.

Anthropic CEO Dario Amodei reportedly visited the White House last week to try and resolve the dispute on allowing wider use of the company’s technology in the federal government.

Axios reports that Mythos’ reputed advanced offensive cyber capabilities have compelled the NSA to begin using it, despite the public blacklisting from the Pentagon, which Anthropic is suing the US government over.

Anthropic has granted access to a small number of trusted partners to test and prepare for the expected explosion of vulnerabilities to be discovered using the new AI model. UK intelligence agencies have also reportedly gained access to Mythos.

Anthropic CEO Dario Amodei reportedly visited the White House last week to try and resolve the dispute on allowing wider use of the company’s technology in the federal government.

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