The development of the AI industry now is similar to the development of the encryption industry in the past, with new and interesting things coming out every day. If you don't keep up and learn, you will have a sense of being eliminated just like in the early days of encryption.

I sorted out the things that AI gave birth to in the next week, you taste it:

December 16
• OpenAI released GPT Image 1.5, which increased image generation speed by 4 times, supports reliable multi-step editing, and improved text rendering capabilities.

• Google has upgraded its Deep Research Agent to leverage Gemini 3 Pro for executing more complex multi-step information retrieval and report generation tasks.

December 17
• Google has officially launched Gemini 3 Flash, replacing the previous version 2.5, becoming the default model for its application and search AI modes, focusing on low cost ($0.50 per million tokens) and high speed.

• OpenAI has updated the built-in image editing tool in ChatGPT, focusing on improving the accuracy of local repainting and instruction adherence.

December 18
• OpenAI has released GPT-5.2-Codex. This model is specifically designed for **Agentic Coding**, introducing context compression technology and showing significant improvements in large-scale code refactoring and cybersecurity vulnerability remediation.

• Anthropic has open-sourced the "Agent Skills" open standard and released the related SDK. This move aims to establish a universal standard, allowing skills developed by developers to be easily portable across different platforms such as Claude, Microsoft, Notion, and Atlassian.

December 19
• AI security and governance have become focal points: OpenAI has deployed tools that identify and restrict minors' access to inappropriate content through user behavior signals; Anthropic also announced similar AI prediction and protection mechanisms for underage users.

December 20
• OpenAI has introduced "Continuity Layers." This technology aims to enable AI agents to continuously retain strategic intent and historical records while performing long-term enterprise-level tasks.