OpenAI's GPTBot Faces Ban, Publishers Concerned About Content Being Free for AI Chatbots


Google showcased new features of Gemini on Google TV at CES 2026, enhancing the smart TV experience through AI. Users can now search for content using natural language, such as looking for a fantasy show like "Game of Thrones," and the system will accurately match it. Additionally, the TV has interactive learning, photo editing, and settings optimization features, marking the entry of smart TVs into a more natural and visual AI era.
On December 22, Zhipu Huazhang released and open-sourced the new generation large model GLM-4.7. The model has shown outstanding performance in multiple international benchmark tests, especially in the coding field, with comprehensive performance surpassing GPT-5.2. It ranked first in both open-source and domestic models on the authoritative coding evaluation platform Code Arena, focusing mainly on programming scenarios.
OpenAI released GPT Image 1.5, significantly enhancing ChatGPT's visual creation capabilities. The model can generate high-fidelity images, accurately understand and follow user instructions, support creating from scratch or editing based on uploaded photos, while retaining the core elements of the original image, with particularly excellent detail processing.
DeepSeek-V3.2 releases both standard and inference-optimized versions, supporting seamless switching across web, app, and API. It introduces a novel integration of 'thinking process' with 'tool calling', enabling parallel modes for extended reasoning and efficient task execution.....
Welcome to the AIbase [AI Daily Report] section! Spend three minutes a day to learn about the latest AI events, helping you understand AI industry trends and innovative AI product applications. For more AI news, visit: https://www.aibase.com/zh1. Baidu officially releases the WENXIN Large Model 4.5 series and fully opens it to the public, featuring ten new models with various parameter configurations. These models are trained and inferred using the PaddlePaddle framework, achieving a FLOPs utilization rate of 47%, and perform well in multi-modal text tasks.