DeepMind’s latest: An AI for handling mathematical proofs

Apple's new N1 Wi-Fi chip has been tested and shown to outperform older Broadcom chips in all aspects. While it may not set new records, it is recognized as a reliable performer in the technology sector.

Microsoft is addressing significant security and privacy concerns associated with AI agents in Windows 11, which have read/write access to user files. The introduction of these agents raises alarms about potential unauthorized access to sensitive information, prompting Microsoft to implement measures to mitigate these risks. As the company prepares for the rollout of these features, the implications for user data security remain a critical focus.

A Bitcoin mining hardware executive has fallen victim to a sophisticated cryptocurrency scam, resulting in a loss of $200,000. The scam involved elaborate tactics, including cash-filled envelopes and operations linked to luxury hotels, leading to the disappearance of funds. This incident highlights the vulnerabilities within the cryptocurrency sector, where even experienced professionals can be deceived by well-organized fraud schemes.

Google has announced the launch of its Gemini 3 AI model, marking the second major upgrade of the year. This new model is designed to enhance user interactions by better understanding requests and is part of Google's ongoing efforts to improve its AI capabilities. The introduction of Gemini 3 also includes the unveiling of an AI-first integrated development environment (IDE) called Antigravity, aimed at streamlining AI application development.

A widespread outage at Cloudflare has caused numerous websites and major platforms to go offline. The incident has raised concerns about the reliability of cloud services, particularly as it follows a recent outage at AWS. Users have reported difficulties accessing various services, leading to frustration and disruption across the internet.

DeepMind has unveiled a new weather forecasting model aimed at enhancing the accuracy of weather predictions. This development is expected to improve the reliability of forecasts, which is crucial for various sectors including agriculture, disaster management, and daily life. The model leverages advanced machine learning techniques to analyze vast amounts of meteorological data, providing more precise insights into weather patterns. This innovation represents a significant step forward in the application of artificial intelligence in meteorology.