Elon Musk's lawsuit against OpenAI alleges that the organization has strayed from its initial commitment to being a non-profit focused on safety and transparency in AI development. The lawsuit claims that OpenAI has instead become a profit-driven entity, heavily influenced by its partnership with Microsoft, potentially hindering competition in the AI sector.

Inside the AI Power Struggle : Musk, Microsoft, and the Fight for the Future of Artificial Intelligence

The source explains the dangers of using public AI platforms like ChatGPT, Google BERT, and others for business data. While public AI models offer convenience, the risk of data leaks and breaches is significant. Sensitive information, such as financial records, health data, and customer insights, could be exposed to competitors or malicious actors. The article highlights the importance of data privacy and explores the potential risks in various industries, such as finance, healthcare, and e-commerce. The source recommends considering custom AI models as a more secure alternative to safeguard sensitive data.

Data Privacy & AI: How Public AI Platforms May Put Your Business Data at Risk

Google's Gemini chatbot has recently been equipped with a memory feature that allows it to remember user preferences, similar to the memory features introduced by OpenAI's ChatGPT and Microsoft's Copilot. This feature enables Gemini to deliver more tailored responses by recalling user interests and preferences, potentially creating a more personalized experience. While Google assures users that their "memories" will not be used for training, security concerns remain, as demonstrated by the recent discovery that ChatGPT's memory function can be manipulated to plant false memories and potentially steal user data. This highlights the need for robust security measures and ethical guidelines as AI technologies continue to evolve.

Gemini Memory

Duke University professors received a $1 million grant from OpenAI to develop AI capable of making moral judgments. This three-year project builds upon prior research demonstrating AI's potential as a "moral GPS," but acknowledges the significant challenges involved. Previous attempts, like the Allen Institute's "Ask Delphi" chatbot, highlight the difficulties in creating unbiased and consistently ethical AI due to reliance on potentially flawed data and the subjective nature of morality. The new research aims to overcome these limitations and create a more reliable moral AI system. Success would represent a major advancement in AI ethics and application.

AI Corner