
Meta, OpenAI, and Palantir (PLTR) Executives Join U.S. Army to Improve Military Tech
Top tech leaders from Meta (META), OpenAI, and Palantir (PLTR) are joining the Army Reserve as lieutenant colonels in a new unit called the 'Executive Innovation Corps,' known as Detachment 201, the Army announced Friday. The unit is part of a push to bring Silicon Valley expertise into the military. Among those being sworn in are Meta CTO Andrew Bosworth, OpenAI Chief Product Officer Kevin Weil, Palantir CTO Shyam Sankar, and Bob McGrew, an advisor at Thinking Machines and former OpenAI Chief Research Officer.
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Detachment 201 will let these tech leaders serve part-time as senior advisors in order to help the Army adopt advanced technologies quickly. The unit is designed to fuse cutting-edge commercial tech with military innovation, which will support projects like the Army Transformation Initiative that aims to modernize the force by using more efficient and scalable solutions. The program also allows executives to serve without leaving their day jobs, which could inspire more tech professionals to contribute in uniform.
This initiative comes as the Army works to replace outdated systems and buy more commercial tech that can serve both military and civilian needs. Indeed, Meta is already partnering with defense firm Anduril on extended reality (XR) tools for soldiers. In addition, OpenAI's ChatGPT could be used to improve military productivity, while Palantir supplies AI-enabled hardware like the TITAN vehicle. The Army didn't say how fast Detachment 201 will expand, but this first wave of new members points to a growing collaboration between the tech industry and the military.
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Time Business News
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When you buy through links on our articles, Future and its syndication partners may earn a commission. ChatGPT is only as good as the prompt you give it. Which is why there's so much advice online promising to teach you how to write better prompts for better results. If you're new to ChatGPT and AI tools generally, prompts are just how you tell it what you want. They can be short and simple, long and detailed, or somewhere in between. The problem is, a lot of prompt advice for work still feels formal and a bit too corporate. Which absolutely works in some contexts. But not if you just want to follow up casually, write a breezy blog post, or get a second opinion on an email. We've already shared tips on how to move beyond the more robotic-sounding ones in our better prompts to use with ChatGPT and how to prompt ChatGPT to inspire your creativity guides. But here we're focusing on practical, beginner-friendly prompts for everyday work challenges. 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Forbes
an hour ago
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How Claude AI Clawed Through Millions Of Books
The race to build the most advanced artificial intelligence generative AI technology has continued to be a story about data: who possesses it, who seeks it, and what methods they use for its acquisition. A recent federal court ruling involving Anthropic, creator of the AI assistant Claude, offered a revealing look into these methods. The company received a partial victory alongside a potentially massive liability in a landmark copyright case. The legal high-five and hand slap draw an instructive, if blurry, line in the sand for the entire AI industry. This verdict is complex, likely impacting how AI large language models (LLMs) will be developed and deployed going forward. The decision seems to be more than a legal footnote, but rather a signal that fundamentally reframes risk for any company developing or even purchasing AI solutions. 3d rendering humanoid robot reading a book in library My Fair Library First, the good news for Anthropic and its ilk. U.S. District Judge William Alsup ruled that the company's practice of buying physical books, scanning them, and using the text to train its AI was "spectacularly transformative." In the court's view, this activity falls under the doctrine of "fair use." Anthropic was not simply making digital copies to sell. In his ruling, Judge Alsup wrote that the models were not trained to 'replicate or supplant' the books, but rather to 'turn a hard corner and create something different.' The literary ingestion process itself was strikingly industrial. Anthropic hired former Google Books executive Tom Turvey, to lead the acquisition and scanning of millions of books. The company purchased used books, stripped their bindings, cut their pages, and fed them into scanners before tossing the paper originals. Because the company legally acquired the books and the judge saw the AI's learning process as transformative, the method held up in court. An Anthropic spokesperson told CBS News it was pleased the court recognized its training was transformative and 'consistent with copyright's purpose in enabling creativity and fostering scientific progress.' For data and analytics leaders, this part of the ruling offers a degree of reassurance. It provides a legal precedent suggesting that legally acquired data can be used for transformative AI training. Biblio-Take-A However, the very same ruling condemned Anthropic for its alternative sourcing method: using pirate websites. The company admitted to downloading vast datasets from "shadow libraries" that host millions of copyrighted books without permission. Judge Alsup was unequivocal on this point. 'Anthropic had no entitlement to use pirated copies for its central library,' he wrote. 'Creating a permanent, general-purpose library was not itself a fair use excusing Anthropic's piracy.' As a result, Anthropic now faces a December trial to determine the damages for this infringement. This aspect of the ruling is a stark warning for corporate leadership. However convenient, using datasets from questionable sources can lead to litigation and reputational damage. The emerging concept of 'data diligence' is no longer just a best practice, it's a critical compliance mechanism. A Tale Of Two Situs This ruling points toward a new reality for AI development. It effectively splits the world of AI training data into two distinct paths. One is the expensive, but legally defensible route of licensed content. The other is the cheap, but legally treacherous path of piracy. The decision has been met with both relief and dismay. While the tech industry now sees a path forward for AI training, creator advocates see an existential threat. The Authors Guild, in a statement to Publishers Weekly, expressed its concern. The organization said it was 'relieved that the court recognized Anthropic's massive, criminal-level, unexcused e-book piracy,' but argued that the decision on fair use 'ignores the harm caused to authors.' The Guild added that 'the analogy to human learning and reading is fundamentally flawed. When humans learn from books, they don't make digital copies of every book they read and store them forever for commercial purposes.' Judge Alsup directly addressed the argument that AI models would create unfair competition for authors. In a somewhat questionable analogy, he wrote that the authors' argument 'is no different than it would be if they complained that training schoolchildren to write well would result in an explosion of competing works.' The Story Continues This legal and ethical debate will likely persist, affecting the emerging data economy with a focus on data provenance, fair use, and transparent licensing. For now, the Anthropic case has turned a new page on the messy, morally complex process of teaching our silicon-based co-workers. It reveals a world of destructive scanning, digital piracy, and legal gambles. As Anthropic clawed its way through millions of books, it left the industry still scratching for solid answers about content fair use in the age of AI.