We're Seemingly Still in the "Throw Money at It" AI Era

Summary

The article discusses how the current phase of AI development is characterized by massive investments in data centers and hardware, with tech giants prioritizing scale and spending over efficiency or innovation. This "throw money at it" approach raises concerns about sustainability and whether such resource-intensive strategies will yield lasting breakthroughs in AI. The trend highlights a potential risk of concentrating AI progress among a few well-funded players, impacting the broader field's direction.