Get the latest tech news

The end of AI scaling may not be nigh: Here’s what’s next

Here's why the AI field is poised for continued breakthroughs through new methodologies and creative engineering.

The perceived scaling wall is unlikely to end future gains, as the AI research community has consistently proven its ingenuity in overcoming challenges and unlocking new capabilities and performance advances. These expected advancements suggest that while traditional scaling approaches may or may not face diminishing returns in the near-term, the AI field is poised for continued breakthroughs through new methodologies and creative engineering. But with more scaling possible and other emerging techniques promising to improve performance, Schmidt’s optimism reflects the rapid pace of AI advancement, suggesting that in just five years, models could evolve into polymaths, seamlessly answering complex questions across multiple fields.

Get the Android app