AI’s Rapid Progress Hits a Plateau: Industry Faces Limits in Scaling Innovation*

SAN FRANCISCO, Nov 18 — There’s growing concern in Silicon Valley that the rapid advancements in AI, particularly large language models (LLMs), may be slowing down. Despite billions in investment and massive data input, industry insiders are acknowledging that performance improvements are plateauing.

While tech giants like OpenAI and Musk’s xAI continue to push for artificial general intelligence (AGI), some experts argue the belief that LLMs will scale endlessly is a fantasy. Challenges like the finite amount of language data and the “bigger is better” approach are becoming evident. OpenAI has even delayed its next AI model, focusing instead on optimizing existing capabilities for more accurate reasoning.

As progress stalls, some experts suggest it's time to shift focus from merely expanding AI's size to harnessing its potential for specific tasks.