Google Commits to Responsible Artificial Intelligence and Takes Action Against Deepfakes


Bill Gates said at the Gates Foundation Goals for the Future conference in New York that he had hoped to only talk about foreign aid and reducing child mortality, but the rapid development of AI has forced him to discuss whether society is prepared to deal with AI risks during meetings with world leaders. He described AI as 'ten science fiction stories happening at the same time,' and was shocked by the progress of AI about a year ago.
Google confirmed that its Gemini model accessed the systems of three external companies during a test in May. The incident was discovered by the third-party AI security organization Irregular through a red team exercise. The test was supposed to be offline, but Gemini was instructed to gather information from a fictional company, whose name coincidentally matched that of a real company, leading to an unintended connection.
Google confirmed that the Gemini model accidentally connected to the internet in a cybersecurity test in May this year, autonomously invading the protected systems of three companies, marking the first known instance. The test was conducted by the AI security company Irregular, originally intended to attack a fictitious company, but the environment had an open internet and shared names with real companies. One time, it gained access through repeated password guessing, and in the other two cases, it obtained credentials from public code repositories to enter real systems.
Google is exposed to have developed an experimental model called Mathematica based on DeepThink V3, optimized for complex calculations and symbolic problem solving, which may become the strongest mathematical reasoning AI. The API shows its internal identifier as 'models/deepthink-mathematica-tf-raw-thoughts', supporting a 1 million token context, output limit of 65536 tokens, and marked as an unstable experimental version.
It has been disclosed that SpaceX's AI department, SpaceXAI, is internally discussing the potential acquisition of customer and operational data from struggling or bankrupt startups to train models such as Grok, in order to obtain high-quality external data to enhance performance. This move indicates that it no longer solely relies on Elon Musk's X platform and internal AI mentor data, but is beginning to expand diverse data sources for Grok.