What a great idea I had for the first Plaintext of 2025. After following the frantic competition between OpenAI, Google, Meta, and Anthropic to churn out brainier and deeper "frontier" foundation models, I settled on a thesis about what's ahead: In the new year, those mighty trailblazers will consume billions of dollars, countless gigawatts, and all the silicon Nvidia can muster in their pursuit of AGI. We'll be bombarded by press releases boasting advanced reasoning, more tokens, and maybe even assurances that their models won't make up crazy facts. But people are tired of hearing about how AI is transformational and seeing few transformations to their day-to-day existence. Getting an AI summary of Google search results or having Facebook ask if you want to pose a follow-up question on a post doesn't make you a traveler to the neo-human future.

The Metaverse is a virtual world that exists on the internet. It is made up of many different virtual worlds, and users can travel between them. There is no one answer to this question, as the Metaverse will be used in a variety of ways in the future. Some people believe it will be used mainly for social networking and communication, while others believe it will be used for more business-oriented activities. There are also those who believe the Metaverse will be used for education and training, and for creating and experiencing virtual worlds. The possibilities are endless, and it will be interesting to see how the Metaverse evolves and is used in the years to come.

The mobile industry is constantly evolving -- what was a groundbreaking technology yesterday may be a forgotten thing of the past today. That's why you need to continuously observe the mobile market so that you don't miss the opportunity for business growth. But you can't just analyse what's trending right now, that would be too easy. The mobile app market is changing at break-neck speed, so if you want to reach a much wider audience, improve user retention and get more app downloads, you need to predict future trends. That's what I'm here to help with.

If you utter these words, probably a human would not understand but maybe chatbots will. We need to accept the fact that the majority of the world population do not speak English and only a small portion of people have English as their native language. Thus, it becomes important for the chatbot market and manufacturers to address the multi-lingual aspect. According to Research and Market report, the global chatbot market size is expected to grow to USD 10.5 billion by 2026 at a CAGR of 23.5% during 2020-2026. Language acts as a great barrier for the rural and non-English speaking populations to acquire assistance through chatbots.

"Our goal is to create applications that can see, hear and understand," says Jeff Dean, senior fellow at Google and one of leaders of the firm's machine learning strategy. Artificial intelligence is a clear priority for Google. Last week, its AlphaGo program defeated world Go champion Lee Sedol, while its DeepMind arm is considered to be at the forefront of deep learning research. And now Google is increasingly opening its technology up to other businesses as it attempts to grow its cloud operations. At its Cloud Next conference Google unveiled the Cloud ML service which helps machine learning engineers build "sophisticated, large" models based on its TensorFlow deep learning library, which was opened sourced last year.