Seven major Hollywood film studios announced that they have agreed on technical standards for digital cinema projection, laying the foundation for a money-saving transition from costly film prints to digitally-projected movies. Digital Cinema Initiatives (DCI), a consortium that includes Disney, Fox, MGM, Paramount, Sony, Universal and Warner Bros., will establish a financing entity that will borrow funds to bankroll the initial installation of digital projection systems -- which cost between $60,000 and $100,000 each -- in 3,500 to 10,000 screens nationwide. These costs would be partly passed on to theater owners, while the rest would be realized in savings from the digital conversion; while film prints cost around $1,200 each, and can deteriorate with use and time, digital movies maintain their quality and currently cost about $300 per copy. Previously, many theater owners were hesitant to pay to install digital projectors, for lack of a common standard. Among the standards set by DCI include specifications for digital cinema picture resolution, and methods of preventing piracy. "After three years of careful planning, discussion and reaching out to all the various constituencies who make up our industry, DCI member studios are pleased to have reached unanimous agreement on the necessary overall system requirements and specifications for digital cinema," said Walt Ordway, chief technology officer for DCI.
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...