8 stories found
Researchers report that hackers are increasingly using generative AI models like Claude Code, Codex, Cursor, and Gemini to create malware and automate cyberattacks, easily bypassing safety guardrails.
Google reportedly capped Meta's use of Gemini AI models in March 2026 due to capacity constraints, disrupting Meta's internal AI projects and forcing employees to ration AI tokens, weeks before Alexander Wang's AI update tease.
Reports indicate that Google has restricted Meta's access to its Gemini AI models, signaling potential competitive tensions in the artificial intelligence landscape.
Google has released three new, smaller Gemini AI models designed for greater efficiency and lower cost, ahead of its anticipated 3.5 Pro version. The company also announced a new chip aimed at making AI up to ten times more efficient.
Google has reportedly limited Meta's access to its Gemini AI models due to a shortage in computing capacity. This rationing comes as Meta delays new AI models for developers, highlighting the high demand for AI compute resources.
According to a Financial Times report, Google has imposed limitations on Meta's ability to use its advanced Gemini artificial intelligence models.
Several major book publishers, including Hachette, have filed a lawsuit against Google, accusing the tech giant of copyright infringement for allegedly using their copyrighted books to train its Gemini AI models.
Google has reportedly limited Meta's use of its Gemini AI models, citing an intensifying infrastructure crunch and high demand for AI computing power. This restriction highlights the growing strain on resources as tech giants race to develop and deploy artificial intelligence.