Odobren je prekretnički dogovor o autorskim pravima od 1,5 milijardi dolara.

Anthropic, the artificial intelligence startup behind the Claude series of large language models, is reportedly in advanced discussions with Meta to lease substantial amounts of computing power in a potential $10 billion deal. According to multiple reports, the negotiations began in June and remain at an early stage, though they signal growing demand for high-performance AI infrastructure. If finalized, the agreement would represent one of the largest commercial partnerships in the rapidly evolving AI sector. The potential partnership comes amid heightened competition within the AI landscape. In recent weeks, Google announced the launch of three new AI models, including Gemini 3.5 Flash Cyber, a security-focused tool designed to identify and address software vulnerabilities. Initially restricted to government agencies and select partners, the system highlights the increasing emphasis on specialized AI applications. Meanwhile, Anthropic faces mounting pressure from both domestic and international competitors, particularly as Chinese AI developments continue to challenge the dominance of Western firms. Tensions surrounding the global AI race have intensified following the release of Kimi, an open-source AI model developed by the Chinese firm Moonshot. The model has sparked controversy in Washington, where advisors to former President Donald Trump have clashed over how to respond to its emergence. Some critics, including David Sacks, have dismissed Anthropic’s models as overly cautious, while others, like Pentagon official Emil Michael, have taken sharp aim at leadership within the AI industry. These internal disputes reflect broader concerns about the economic and geopolitical implications of open-source AI technologies becoming increasingly accessible outside traditional Western markets. Anthropic recently reached another major milestone with the approval of a $1.5 billion copyright settlement, resolving a long-running legal battle with authors and publishers who alleged the company had used pirated materials to train its AI systems. A federal judge signed off on the agreement in a formal ceremony, marking the culmination of years of litigation. Under the terms of the settlement, each of the approximately 500,000 works involved will receive $3,000 in compensation. However, the resolution does not fully resolve the legal questions around AI training practices, as the court ruled that using copyrighted material for AI development constitutes fair use, despite acknowledging that some methods of data acquisition were unlawful. The settlement has drawn mixed reactions from content creators. While some welcome the financial compensation, others argue that the outcome fails to set a clear precedent for the industry. The ruling, made by Judge William Alsup before he retired, did not become binding legal guidance due to the nature of the settlement. As a result, other courts retain the authority to rule differently on similar cases involving AI training practices. This uncertainty continues to fuel ongoing litigation against companies such as Google, Meta, and OpenAI, who face similar allegations regarding the use of copyrighted material in their AI development processes. In parallel, regulatory scrutiny of AI advancements is expanding globally. Reports indicate that China is considering stricter export controls on AI models and related hardware, aiming to prevent the transfer of critical technologies to foreign entities. At the same time, the European Union has imposed a record fine on AliExpress for selling unsafe products, signaling increased enforcement under the Digital Services Act. Meanwhile, the United States grapples with internal divisions over how to manage the rise of Chinese AI capabilities, with some calling for restrictions on access to these models, while others warn of the potential negative consequences of such measures. As Anthropic explores new avenues for growth, including potential collaborations with Meta, the company finds itself navigating a complex web of legal, ethical, and competitive challenges. The outcomes of these developments will likely shape the trajectory of the AI industry in the coming years, influencing everything from corporate strategies to international policy frameworks.