# Сопутствующие статьи по теме Tiered Access

Claude Deliberately Dumbs Down? Are Models Starting to 'Discriminate Based on the User'?

"Claude Deliberately Downgraded? Models Begin to 'Discriminate Based on Users'?" Recent analysis by AMD AI Group Senior Director Stella Laurenzo reveals significant behavioral degradation in Anthropic's Claude since mid-February. Data from 6,852 session files shows Claude's median "thinking" output plummeted 67-73% from 2,200 to 600 characters, with one-third of code edits now performed without reading files first. Users began reporting slower, lazier responses in March, with some describing Claude as "lobotomized." Anthropic's introduction of "adaptive thinking" in early February, officially described as adjusting reasoning depth based on task complexity, effectively became a global throttling mechanism. By March, default effort was quietly reduced to "medium" while thinking summaries were hidden. Anthropic's Claude Code lead Boris Cherny confirmed this was intentional optimization, not a bug, suggesting users manually switch to "high effort" mode. The company never announced these significant changes, leaving paying subscribers with reduced capabilities at unchanged prices. This reflects a broader industry trend where AI companies are silently reducing capabilities to control GPU costs. Analysis shows extreme users generate $42,121 in actual inference costs while paying only $400 monthly, creating unsustainable subsidy model. Anthropic is now testing "high effort" mode by default for Teams and Enterprise users, signaling that superior reasoning is becoming a分层资源. Enterprise API users report significantly better performance at $4k-12k monthly costs, while consumer subscribers receive a "good enough" downgraded version. The incident marks the end of AI's subsidy era, with the industry shifting from universal普惠to elite stratification, quietly compromising consumer experience to manage real costs while offering premium capabilities to deep-pocketed enterprise clients.

marsbit04/14 10:32