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Google staff question involvement in Pentagon’s AI initiative

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More than 4,000 employees at Google have signed a letter calling on the tech giant to stop participating in the Pentagon’s flagship artificial intelligence initiative — Project Maven — which is aimed at helping the military identify potential hostile targets from images captured by drones.

Project Maven, formally known as the Algorithmic Warfare Cross-Functional Team, was founded as a way to demonstrate how advanced technologies such as artificial intelligence and machine learning could help the US military in its operations. In a statement to WIRED, former deputy secretary of defense Bob Work, who established Project Maven in April 2017, stated that the initiative’s first mission was to come up with a more effective way to process images from drone video.

According to Work, the Pentagon’s analysis tools proved ineffective due to the massive amount of high-resolution images from the drones. The plan was to utilize machine learning that Google and other internet companies use to help the drones distinguish objects of interest such as people, buildings, and vehicles. According to Work, the target for the video processing tool’s rollout was December 2017 — a timeline that was easily met, and the technology has impressed ever since.

Back in December, the Department of Defense stated that algorithms from contractors were helping in the fight against ISIS. Earlier this month, Lt. Col. Garry Floyd noted that technology developed for Project Maven is currently being utilized in the military’s operations in the Middle East and Africa. William Carter, a deputy director from the Center for Strategic and International Studies, even stated that by “DoD standards,” the efficiency of AI-based military solutions were “literally a work of magic.”

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The AI-based image processing system developed for Project Maven is capable of automatically annotating objects such as trucks, buildings, and boats on digital maps. The algorithms are also capable of being retrained by analysts, if the system makes a mistake during its operations.

Neither Google nor the Pentagon has declared the exact role that the tech giant played in the development of Project Maven’s technologies. Google did admit, however, that it helped the initiative by allowing the Pentagon to use its TensorFlow machine learning software to train algorithms on drone imagery analysis. Google noted, however, that the technology it provided was limited to non-offensive uses. In a statement to WIRED, Google’s AI director described the work done with the Pentagon as “mundane.” Despite this, the company’s participation in Project Maven still incited protests from several thousand Google employees.

Regardless of Google’s participation, or lack thereof, Project Maven is set to expand. The Pentagon is currently aiming to extend its AI-based image processing capabilities to larger, high-altitude drones. Project Maven is also attempting to apply AI in other military operations, such as the retrieval of potentially sensitive information from captured hard drives.

The Pentagon has expressed its openness to the use of AI in its field operations. Earlier this month, US secretary of defense Michael Griffin noted that the military would likely have self-driving vehicles before civilian companies such as Waymo or Tesla could roll out autonomous cars in America’s streets. The use of AI-enabled machines has also been on the rise, as evidenced by the number of intelligent battlefield robots deployed during a recent military exercise between the United States and Britain.

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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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SpaceX announces new Starship 13 test flight target date

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SpaceX Starship V3 flight 12
SpaceX Starship V3 flight 12 (Credit: SpaceX)

SpaceX has announced a new target date for the thirteenth test flight of Starship: Monday, July 20, with the launch window opening at 6:45 p.m ET/5:45 p.m. CT.

This is the first rescheduling attempt of Starship’s 13th test flight. It was set to launch last night, but SpaceX scrubbed the launch attempt.

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CEO Elon Musk revealed that some of the engines on Starship did not start, which automatically triggers a launch abort. Two of the Raptor engines will be removed and replaced.

SpaceX officially announced the new launch window this morning.

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Starship’s 13th test launch comes with a few new objectives, but SpaceX does not plan to attempt a catch of the booster, which it has done several times in the past.

For Starship’s Upper Stage, there are some adjustments to ensure engine reusability that will be assessed during the ascent, and 20 operational Starlink V3 satellites are also set to make their way into space. SpaceX also plans to attempt an in-space relight of a single Raptor engine, which is a critical demonstration for future orbital deorbit, refueling, and deep space maneuvers.

Ultimately, it will splash down in the Indian Ocean.

The continuous tests help SpaceX advance the Starship program toward eventual full reusability, operational Starlink V3 deployment, and future missions, which include NASA’s Artemis program.

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SpaceX Starship Flight 13 aborted at Zero and Musk just told us what broke

Four Raptor engines failed to ignite at T-zero, forcing SpaceX to scrub Starship Flight 13 Thursday.

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SpaceX scrubbed the Starship Flight 13 launch attempt Thursday evening at the last possible moment, after four of the Super Heavy booster’s 33 Raptor 3 engines failed to ignite during the startup sequence. The 90-minute window had opened at 6:45 p.m. EDT from Starbase in Boca Chica, Texas, and the countdown had proceeded without issue all day, with more than 11.5 million pounds of liquid methane and liquid oxygen being fully loaded into the rocket before the automated abort triggered. SpaceX’s launch directors posted on X, “Standing down from today’s flight test attempt,” and shut down the livestream shortly after.

Musk confirmed the root cause within hours. “Some of the engines didn’t start, triggering an automatic launch abort,” he wrote on X. “To be confident of a good flight, 2 Raptors will be removed and replaced. Most probable launch timing is early next week.” SpaceX engineers began draining propellant tanks immediately and Booster 20 was rolled back to its hangar for inspection.

SpaceX comes with a slew of changes for Starship Flight 13

 

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The timing adds a layer of significance that did not exist during any of the previous 12 Starship flights. This is the first time SpaceX has attempted to launch Starship since the company made its stock market debut in June, listing under ticker SPCX at $135 per share. Public investors are now watching every Starship outcome in real time, and a last-second abort carries more visibility than it would have six months ago.

Flight 13 was designed to be one of the most consequential tests in the program’s history. It was set to carry 20 Starlink V3 satellites, the first operational payload Starship has ever attempted to deploy. Six of those satellites carried external cameras to photograph Starship’s heat shield from the outside during flight, which would act as a self-inspection approach SpaceX has never attempted before. The mission also needed to complete a Raptor engine relight in space, a step SpaceX skipped on Flight 12 in May after losing an engine during ascent. That Flight 12 booster also flipped 90 degrees off course during its boostback burn when five engines failed to reignite.

SpaceX has not announced an official next launch date. Musk’s “early next week” window points to July 21 or 22 at the earliest, pending the engine swap and a return to the pad.

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Elon Musk secretly acquires $1B energy company to power the AI future

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

Elon Musk flew under the radar with his recent purchase of a $1 billion energy company, according to Federal Trade Commission (FTC) documents.

Transaction number 202612350 listed Tesla and SpaceX frontman Elon Musk as the acquiring party and CF APR Super Holdings LLC as the seller, with New APR Energy, LLC as the acquired entity. The deal, which closed without public announcement, came to light on May 14.

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Analysts inferred the deal’s scale from minority stakeholder disclosures, including one report of a 5 percent interest sold for approximately $50.4 million. Fortress Investment Group had purchased APR’s assets in late 2024, rebranded the operation as New APR Energy, and subsequently transferred ownership to Musk.

APR Energy specializes in rapidly deployable power infrastructure. The company maintains one of the world’s largest fleets of mobile gas and diesel turbines, with more than 1.1 gigawatts of generation capacity. Its modular units, which are often trailer-mounted, enable turnkey installations ranging from 20 MW to over 500 MW.

Elon Musk admits he was ‘clearly wrong’ about Anthropic

APR provides full engineering, procurement, construction, operation, and maintenance services for behind-the-meter power plants, serving everything from data centers, utilities, and industrial clients.

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The firm has expanded aggressively to meet surging demand, recently adding turbines and deploying over 100 MW for a major AI hyperscaler. Its solutions bridge critical gaps where grid interconnections face delays of two to five years, according to Yahoo.

The acquisition means something more for Musk. As he continues to expand projects in artificial intelligence, especially xAI, his AI venture, there is a greater need to supply energy-intensive supercomputing clusters, including the Colossus project, with what they need: reliable and high-capacity power.

Ownership of APR provides immediate access to flexible generation assets that can be deployed adjacent to data centers, reducing dependence on a strained infrastructure. It also complements Tesla’s energy storage business, so Musk will be able to pull from his own entities to address the rapid scaling demands of AI training and compute.

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