According to Forbes, Google released a new instant messaging and voice chat program, ending months of speculation over whether the search giant would enter the heated IM market. The company hasn't said how it might generate revenue from these services, which have been offered for years by competitors. But Google�s new services hint at a much larger company strategy to launch headlong into telecommunications. In the future, Google's new IM service, called Google Talk, could go a step further than competing services, allowing users to make and receive calls to the public telephone network; it would not only set the program apart from rivals but provide new revenue streams for the company. Google could sell calling-minutes to customers, who would pay for the ability to make cheap calls over the Internet. Many of the company's recent moves support a major push by Google into telephony, including rumors that the company has already purchased unused fiber optic cables across the U.S. Google's kept quiet about whether it is buying fiber, but in January the company posted a job listing on its site looking for candidates with experience in "identification, selection and negotiation of dark fiber contracts both in metropolitan areas and over long distances as part of development of a global backbone network." In July, Current Communications Group announced that it had landed a $100 million investment from Google, Goldman Sachs and The Hearst Corporation to develop broadband over power-line technologies, which would deliver high-speed Internet connections to homes over electrical wires. Those investments would pay off if the company plans to handle large amounts of voice traffic. Google engineers have also been spotted attending a number of Internet telephony-centric conferences.
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...