GPT-4 is a large language model made by OpenAI and used across chatbots and AI applications. Recent coverage describes its use in answering fertility questions, including early refusals on medical questions, and McKinsey's note that the same task can cost up to 30 times more from one run to another. Harvey, a $15.6 billion legal AI startup built on GPT-4, is turning to open models to reduce its reliance on OpenAI.
Our AI Midwife: Using Chatbots for Fertility CareA guest post describes using GPT-4 to answer fertility questions doctors lacked time for while dealing with unexplained infertility. It notes early refusals on medical questions and a workaround shared online to get answers.
McKinsey: cheaper AI models, bigger AI billsSpeaking on "Improving the Economics of Agentic AI," McKinsey said unit costs for the same capability have fallen sharply while enterprise AI spending keeps climbing as agents consume far more reasoning. The same task can cost up to 30 times more from one run to another, and choices such as single versus multiple agents strongly affect cost.
Harvey and peers turn to open models to cut reliance on OpenAIHarvey, a $15.6 billion legal AI startup built on OpenAI's GPT-4, is rethinking its dependence on AI giants as costs soar, embracing open models. The move shows downstream AI applications seeking cheaper, more controllable stacks.
The A.I. Daily