Assessing the Future of AI: Bubble or Breakthrough?
The article examines past AI winters caused by overhyped expectations and subsequent disillusionment, drawing parallels with current AI developments. Historically, AI hype cycles, fueled by ambitious claims and limited technological progress, led to funding cuts and skepticism. Today, despite massive private investment and widespread deployment, challenges such as unreliable models and high costs suggest a potential new AI winter, echoing past cycles. The future of AI remains uncertain, hinging on whether current enthusiasm can be sustained or if similar setbacks will occur.
