AI Chronicle

🤖 Introducing ChatGPT Agent: Bridging Research and Real-World Action In a world where ideas often get stuck in slides and research papers,  ChatGPT Agent  is here to change the game. It’s not just a chatbot — it’s an  intelligent doer . Whether you’re a developer, analyst, PM, or founder, you’ve probably wished you could turn complex research, data, and goals into real action — instantly. Now you can. ChatGPT now thinks and acts, proactively choosing from a toolbox of agentic skills to complete tasks for you using its computer. 🔍 From Insights to Execution — Instantly ChatGPT Agent doesn’t just  talk  — it  builds . It can: Research market trends and summarize 10+ sources in seconds Generate Python or SQL scripts for your business logic Automate workflows, schedule tasks, and even call APIs Write docs, emails, and proposals based on your input Hook into tools like Notion, Slack, Google Sheets, or GitHub All without context switching or reinventing the whe...

  The Chinese AI company, MiniMaxAI, has just launched a large-scale open-source reasoning model, named MiniMax-M1. The model, released on Day 1 of the 5-day MiniMaxWeek event, seems to give a good competition to OpenAI o3, Claude 4, DeepSeke-R1, and other contemporaries. Along with the chatbot, MiniMax has also released an agent in beta version, capable of running code, building apps, creating presentations, and more. In this article, we’ll explore the key features of MiniMax-M1, learn how to access it, and test it out on a few tasks. We’ll also be exploring the MiniMax Agent, so read till the end to watch the agent in action! What is MiniMax-M1? MiniMax‑M1 is an open‑source, large‑scale, hybrid‑attention reasoning model, developed by Shanghai‑based AI startup MiniMax. The thinking model comes with a web search feature and can handle multimodal input in the form of text, images, presentations, and more across various formats. Built on a Mixture of experts (MOE) architecture, the m...