Australian Federal Police Use AI Technology to Analyze Data to Identify Money Laundering and Fraud Activities


Highwire has launched an AI-powered safety risk management tool that provides contractors with deep insights through automated document reviews and risk identification, reducing thousands of man-hours spent on traditional manual reviews. The tool offers more accurate contractor assessments, helping managers implement mitigation strategies before work begins, categorizing safety protocols as general, detailed, or comprehensive, and going beyond simple pass/fail analysis to support more informed decision-making. This AI technology was developed at Harvard University and aims to serve large companies with mature safety programs as well as small contractors, with the goal of enhancing safety.
The robotics research team at Google DeepMind recently released a robotics project called RT-2. This project took 7 months to develop and uses a large model for training. RT-2 has capabilities such as symbol understanding, reasoning, and human recognition, and can think and complete tasks based on human instructions. By combining the large model with the robot's operational capabilities, RT-2 can accomplish tasks that involve logical leaps, such as from 'extinct animals' to 'plastic dinosaurs'. The results of this project performed well in various sub - category tests, with performance up to three times that of the previous generation of robot models. This research result demonstrates the potential of large models in robotics research and is expected to drive the development of robots in the future.
Meta Intelligence OS is a startup founded by Bloomberg. It has developed a series of large models based on the open-source model RWKV and aims to become the Android in the era of large models. The RWKV model has superior performance and low cost in inference tasks, thus attracting customers from industries such as finance, law firms, and smart hardware. The business model of Meta Intelligence OS is model customization based on private data and internal AI Agent development. The company hopes to solve the problems of API call latency and data security by deploying large models on terminal devices. Currently, RWKV versions are available on Windows, Mac, and Linux computers, and Android and iOS versions are also in development. Meta Intelligence OS is raising funds and collaborating with chip companies and computing power platforms to create benchmark customers. Luo Xuan said that the decisive battlefield for large models is on hardware, and both terminal devices and the cloud require dedicated chips.
OpenAI recently announced a major update to its macOS ChatGPT app: direct code editing within IDEs. This feature is currently exclusive to Plus, Pro, and Team subscribers. According to an X post, this update transforms ChatGPT from a conversational tool into a developer productivity assistant. OpenAI revealed on X that "ChatGPT for macOS can now directly edit code within your IDEs."
The rapid advancement of AI is leading to increased reliance on AI-generated code among developers. This trend is particularly evident in the latest batch of startups from Y Combinator (YC), a renowned Silicon Valley startup accelerator. In a recent YouTube conversation, YC partner Jared Friedman revealed that 25% of the Winter 2025 (W25) batch have codebases that are 95% AI-generated. Friedman clarified...