Research Finds Limitations of ChatGPT in Psychotherapy


Recent exposure reveals OpenAI's internal "Project Lily" uses human prompt reviewers to manually review and score real ChatGPT user chats. This challenges the belief that large model evolution relies only on algorithm upgrades and automated data, showing human review remains key in training.....
The WeChat AI assistant 'Weixiao' has sparked controversy over privacy concerns and has topped the hot search list. WeChat clarified that claims about directly reading chat records or spying on privacy are inaccurate. The assistant is a native AI, currently in a limited beta test, supporting text and voice interaction, capable of checking weather, express delivery, and takeout. It can also proactively trigger in scenarios such as Moments, official accounts, chats, and short video sections to assist with content summarization.
The Gates Foundation will invest $1 billion over the next two years to promote the development of artificial intelligence, making cutting-edge technology benefit the poorest regions. Gates also shared his views on the global large model landscape, computing power carbon emissions, and Chinese humanoid robots, pointing out that according to different measures, there are currently four leading large model companies in both the US and China.
OpenAI has been revealed to have hired hundreds of contract workers to review real ChatGPT user conversations, rating responses on a scale from 1 to 7 to improve the model, with a focus on reducing excessive flattery and anthropomorphism. Many users are unaware that their chats may be read by real people; anonymization can still contain sensitive personal information, and OpenAI's privacy filter has also been acknowledged to potentially have vulnerabilities.
Sam Altman, CEO of OpenAI, has expressed support for slowing down AI development to avoid advanced model capabilities exceeding human control. His views align with those of the CEO of Anthropic. He acknowledges that prioritizing safety comes at a cost, but it helps maintain public confidence and demonstrates that U.S. companies can take responsibility as they develop increasingly powerful AI.