Political wrangling prevented California's incentive plan from being ratified by the deadline, prompting Assembly Speaker Fabian Nunez to instead shore up support ahead of next year's budget negotiations. Nunez, who authored AB 777, drafted a letter promising that he and other legislative leaders remain "committed to including industry tax incentives in the budget we pass next year." The letter, addressed to Gov. Arnold Schwarzenegger, was signed by Nunez, D-Los Angeles, Republican Assembly leader Kevin McCarthy, R-Bakersfield, Senate President Don Perata, D-Oakland, and Senate Republican Leader Dick Ackerman, R-Irvine. "As you know, the motion picture and television production industry is a major contributor to our economy," Nunez wrote. "However, other states and nations are offering significant tax incentives to lure this important homespun industry away from California. That is why the tax incentives are essential to keeping motion picture and television production within California."
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...