In 2025, Sam Altman, CEO of OpenAI, directed his engineering team to develop an 'automated research intern' to streamline laboratory operations. One year later, OpenAI announced success in creating this system, which now handles complex tasks, reduces manual work, and improves efficiency. The AI tools have significantly cut down on IT support requests, with daily help calls dropping by over 50%. However, the increased use of AI has led to skyrocketing computational costs, with some researchers spending over $7,000 daily on tokens. This surge in usage has sparked debates within the tech industry about whether AI adoption is improving productivity or simply driving up expenses through 'tokenmaxxing,' where employees prioritize AI interaction over tangible results. Major companies like Amazon and Meta have since removed internal incentives for high AI usage.
Bias read (Center): The article presents a balanced overview of OpenAI's technological advancements and the associated challenges, including cost concerns and industry-wide debates. It does not take a clear ideological stance but reports on both the benefits and criticisms of AI automation. The framing remains neutral,


