Will we forget what pre-LLM era looked like? (invertedpassion.com)

The conversation around the rapid evolution of large language models (LLMs) reflects a striking shift in how we interact with technology. Soon, many may struggle to remember a time before LLMs, when obtaining intelligent, instant answers was not the norm. Predictions suggest a future where multiple software applications are replaced by a single adaptable agent capable of generating personalized solutions on demand. This could lead to a workspace heavily influenced by automation, where AI anticipates user needs and manages tasks proactively, potentially redefining human roles in technology. The implications for the AI/ML community are profound. As organizations increasingly rely on LLMs for coding and decision-making, like the Anthropic team using Claude Code to enhance its own capabilities, the nature of work and software development is transforming. This trajectory illustrates the swift advancements from basic communication tools to sophisticated AI companions, emphasizing an era where our previously manual tasks are undertaken by intelligent agents. This shift raises important questions about the future of work, personal agency, and the very essence of problem-solving in a technology-driven landscape.