OpenAI pivots to business; new Rosaland model

OpenAI is shifting focus toward business users and higher‑value professional work according to recent reporting. (apnews.com) Separately, OpenAI launched GPT‑Rosalind, a model positioned for life‑sciences research. (reuters.com)

OpenAI is steering harder toward paying business customers as it prepares a new model for “high-value professional work” and rolls out GPT-Rosalind for biology research. (apnews.com) (reuters.com) Chief Financial Officer Sarah Friar told The Associated Press that OpenAI has more than 900 million weekly ChatGPT users, but about 95% of them “don’t pay anything.” She said a new business-focused model is coming “in short order.” (apnews.com) Reuters reported on April 16 that GPT-Rosalind is designed for biochemistry, drug discovery and translational medicine, and that OpenAI is pitching it to life-sciences customers including Amgen, Moderna and Thermo Fisher. (reuters.com) The business push marks a turn from OpenAI’s recent consumer-heavy expansion around ChatGPT. AP reported that executives are shedding some consumer offerings and betting more of the company’s future on workplace tools as they look for a path to profitability. (apnews.com) The timing also reflects a sharper fight for corporate accounts. AP said OpenAI is trying to answer Anthropic’s gains with office and coding customers, while Anthropic this month limited access to Claude Mythos Preview because of its cybersecurity capabilities. (apnews.com) (anthropic.com) Rosalind shows what that strategy looks like in practice: a model tuned for a specific profession instead of a general chatbot for everyone. Reuters said OpenAI is marketing it as a research assistant for scientists working on protein biology, medicines and lab-to-clinic studies. (reuters.com) OpenAI is also leaning on developer products that can be sold inside companies. The company said this month that Codex serves more than 2 million weekly users, up fivefold in three months, as its application programming interfaces process more than 15 billion tokens per minute. (openai.com) Taken together, the two moves point to the same target: fewer one-off chatbot sessions, more specialized tools that companies and research labs might pay to use every day. (apnews.com) (reuters.com)

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