Despite a thousand-fold decrease in AI costs over the past three years, users are experiencing higher bills. This phenomenon is attributed to factors such as escalating token prices and the continuous operation of AI agents. The situation is further complicated by a paradox reminiscent of the 1865 coal paradox, suggesting that increased efficiency does not always translate to lower costs. AI
IMPACT Suggests that increased AI efficiency may not lead to lower costs for end-users due to factors like token pricing and continuous agent operation.
RANK_REASON The item discusses a trend and its potential causes without announcing a new product, research, or policy.
Read on Mastodon — mastodon.social →
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →