Search AI Products and News

Recently, a new study has drawn attention, revealing that ChatGPT's responses reflect the cultural values of people from English-speaking and Protestant countries. The core of this study is that large language models like ChatGPT were trained on a vast amount of data from certain countries and cultures, which may lead to outputs that carry cultural biases. The research team, led by René F Kizilcec and his colleagues, examined five different versions of OpenAI's GPT.

The U.S. Department of Commerce report supports open-weight generative AI models, such as Meta's Llama3.1, believing this will help small companies, researchers, non-profits, and individual developers access AI resources, fostering innovation and competition. This view aligns with that of Federal Trade Commission Chair Lina Khan, who emphasized that open models can promote more small businesses in the creative market. Assistant Secretary Alan Davidson stated that the openness of large AI systems significantly impacts competition, innovation, and risks, and called for monitoring of large AI models broadly.

Meta faced protests outside its San Francisco office against its strategy of publicly releasing AI models. Demonstrators are concerned that the open sourcing of model weights may lead to uncontrollable consequences. Meta's Chief Scientist, LeCun, countered that the open-source AI community is thriving. There are divisions in the industry regarding open and closed source; while open source can enhance transparency, it also poses risks. The definition of open source remains ambiguous, with different organizations having varied interpretations of 'open source AI.'

Weights & Biases has raised a $50 million investment to drive LLMOps work for generative AI large language models. LLMOps refers to the operations of effectively using and scaling generative AI large language models. Weights & Biases will continue to improve tools to meet user needs and feedback.