Welcome to The Daily AI Briefing! Good day, AI enthusiasts and tech followers. This is your daily dose of the most significant developments in artificial intelligence. Today, we're bringing you groundbreaking news about autonomous agents, coding competitions, and powerful new tools reshaping how we interact with technology. Let's dive into today's AI landscape. Today's Headlines In today's briefing, we'll cover OpenAI's new ChatGPT Agent with its own virtual computer, Reflection AI's impressive Asimov coding assistant, a practical tutorial on Gemini CLI for documentation, OpenAI's remarkable performance in a human coding competition, and a quick roundup of trending AI tools and job opportunities. OpenAI Gives ChatGPT Its Own Computer OpenAI has taken a significant leap forward with ChatGPT Agent, a major upgrade that allows the AI to control its own virtual computer. This advancement enables ChatGPT to perform complex workflows and agentic tasks autonomously. The system merges existing tools like Operator and Deep Research, creating a unified experience where the AI can seamlessly switch between browsing, coding, and document creation. ChatGPT Agent can now book travel, build presentations, shop online, create products, set up orders, and even connect to apps like Gmail and GitHub. Performance metrics are impressive, with the system achieving 41.6% on Humanity's Last Exam and showing strong results on Frontier Math benchmarks. Notably, OpenAI has implemented strict safety protocols, including live monitoring and user approvals, due to the system's "high capability" classification for biological risks. Reflection AI Launches Asimov for Code Understanding Moving to another breakthrough in AI agents, Reflection AI has introduced Asimov, an autonomous agent designed to understand codebases, business logic, and team knowledge. Founded by former Google DeepMind researchers, the company has created a system that ingests code, architecture documents, emails, Slack threads, and project reports. This creates a persistent knowledge base that engineering teams can leverage. One standout feature is "Asimov Memories," which allows teams to store and update tribal knowledge using natural language prompts, all protected by role-based access controls. In blind tests against Claude Code, Asimov was preferred by 82% of developers. Its architecture utilizes multiple "retriever" agents that feed findings to a central reasoning system, enhancing its effectiveness. Automating Documentation with Gemini CLI For developers looking to streamline their workflow, Google's new Gemini CLI offers a practical solution. This free command-line AI tool automatically generates comprehensive README files and project documentation by analyzing your codebase. Installation is straightforward: simply type "npm install -g @google/gemini-cli" in your terminal, navigate to your project folder, and invoke the agent by typing "gemini". You can then generate a complete README by requesting "Create a comprehensive README.md with installation, usage, and examples" and refine it through additional prompts. OpenAI Places Second in Human Coding Competition In a remarkable demonstration of AI progress, OpenAI's autonomous coding agent secured second place at the AtCoder World Tour Finals in Tokyo. The competition featured complex optimization puzzles where contestants guided digital robots through mazes while minimizing moves. Polish coder Psyho claimed the championship with a 9.5% margin after an intense 10-hour showdown, later posting "Humanity has prevailed (for now!)". This marks the first time an AI model competed fully autonomously against elite human coders in a live programming final. Additionally, Sakana AI tested their ALE-Agent alongside the competition, achieving results that would have placed fifth overall, further highlighting AI's growing capabilities in coding challenges. Trending AI Tools and Job Opportunities Several new AI tools are m