Canada�s top court has put to rest a special tax on digital music players that had been intended to compensate musicians for illegal use of their content, cheering levy opponents who argued it unfairly punished people who use MP3 devices for photos and non-music data files. A Federal Court had struck down the policy last year but the Canadian Private Copying Collective (CPCC), which collects tariffs on behalf of musicians and record companies, later appealed the case. The Supreme Court of Canada declined to hear further arguments on the case Thursday, all but killing the tax and ensuring MP3 devices will remain cheaper for Canadian consumers. The CPCC started taking taxes on MP3 players in December 2003 after arguing that MP3 players like iPods were a way to make illegal copies of songs. The levy, the CPCC argued, was a way to pay music creators for unfair use of their work. Originally created for blank audio cassette tapes, the tax is also applied to blank CDs and was extended to MP3 players. The player taxes were built into the prices of the devices. A CAN $2 ($1.63) tax was levied for a device with non-removable memory of up to 1 GB, CAN $14 for one with memory up to 15 GB, and CAN $25 for one with more than 10 GB.
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...