AI Enters Innovation Phase: Redefines Future with Superintelligence

Artificial intelligence (AI) has come a long way since its early days. It started in 2012 when a deep neural network called AlexNet first learned to recognize images. Back then, AI could tell if there were cats in YouTube videos. This was the research phase, which ran until 2018. This phase saw AI grow from simple tasks to more complex models.

In 2018, the scaling phase began. AI resources increased more than 10,000-fold. Companies and researchers invested billions to train these models. By 2023, around $200 billion was spent on developing AI models. This investment led to models like GPT-4.o, which can solve complex math problems. This scaling phase ends now, moving into what experts call the innovation phase.

The innovation phase might lead to what's known as superintelligence in less than six years. Unlike before, where scaling focused on resources, this new era will require fresh ideas and smarter computing. Companies need to innovate rather than only scale up. Advanced reasoning and test-time computing are crucial for this phase. The current models are so advanced that their capabilities need expert assessment.

Experts now must measure AI's quality in specific fields like physics, math, and biology. The average person can no longer see the differences between AI generations. The gains from new AI models will show more in specialized areas. For businesses, AI is already good enough to automate tasks with a bit of tweaking.

Studio, a company for developers, is quietly making waves with AI automations. It created Runa H, an advanced AI agent. This agent can navigate the web and interfaces using pixel-level detail and semantic understanding. It turns instructions into human-like actions.

The journey of AI continues to be exciting. From recognizing cats to solving complex problems, AI keeps pushing boundaries. Now, as we enter this new phase, innovation will shape AI’s future. This could bring even more remarkable breakthroughs. The next few years could redefine what AI can achieve across various domains.