JD Data: Sales of AI Tutoring Machines Increased by 128% Year-on-Year


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.
Hugging Face, in collaboration with Physical Intelligence, has launched the groundbreaking robotic foundation model Pi0. This is the first open-source model capable of directly transforming natural language commands into robotic actions, marking a new era in robotics technology. The Pi0 model has been trained on seven different robotic platforms and has mastered 68 unique tasks, enabling it to perform complex operations ranging from folding clothes to tidying up tables. The model utilizes innovative flow matching technology to generate smooth real-time actions at a frequency of 50Hz.
The dating app Tinder is seeking to gain traction through artificial intelligence technology in response to its declining user engagement. This Match Group-owned dating app plans to launch brand new AI discovery and matching features in the upcoming quarter to offer users a fresh way to meet friends, departing from the traditional 'swipe' mechanism. Data indicates that Tinder is facing significant challenges, with a year-over-year decline of approximately 8% in monthly active users this January and direct revenue of $476 million, falling short of the previous expectation of $480 million to $485 million.
Recently, Amazon CEO Andy Jassy discussed the development of artificial intelligence (AI) technology and its cost issues during a conference call with analysts. He stated that with the continuous emergence of new technologies, particularly the introduction of models like DeepSeek, the costs of AI inference will decline significantly. This change will enable more businesses to easily apply AI to their operations, especially in the fields of inference and generative AI. Image source note: Image generated by AI, licensed by Midjourney.