The U.S. Department of Justice announced that it has launched "Operation Site Down," conducting some 90 searches in 11 countries and arresting several people suspected of running Internet piracy sites where users could download movies, music and software for free. The government said its actions targeted "warez" piracy groups including RiSCISO, Myth, TDA, LND, Goodfellaz, Hoodlum, Vengeance, Centropy, Wasted Time, Paranoid, Corrupt, Gamerz, AdmitONE, Hellbound, KGS, BBX, KHG, NOX, NFR, CDZ, TUN and BHP -- resulting in seizure of hundreds of computers and the shut down of at least eight major file-sharing servers. The Department of Justice estimated the sites offered movies, software and other content valued at over $50 million, including the recently released Star Wars film. "Our objective in this operation was to find and dismantle large-scale criminal enterprises that illegally obtain, copy, distribute, and trade in copyrighted software, music, movies, and video games," said U.S. Atty. General Alberto Gonzales.
The prevailing narrative around artificial intelligence (AI) has been one of relentless scale. Bigger models, bigger clusters, bigger budgets. The assumption, largely unchallenged until recently, was that raw parameter count translated directly into competitive advantage. New research from Omdia suggests it's time to retire that assumption. According to the latest market study by Omdia, parameter growth in frontier AI models has slowed to around 5 percent annually since 2021, a stark contrast to the more than hundredfold expansion seen between 2019 and 2021. Enterprise AI Market Development For executives who have been making infrastructure and investment decisions based on the assumption that AI would keep demanding ever-larger, ever-more-expensive hardware, this finding deserves serious attention. The race to the top of the model size leaderboard has, at least for now, plateaued. Crucially, Omdia's analysts are not reading this as an AI winter. Alexander Harrowell, senior pri...