Roxanne

After 2024, AI tools have penetrated into every corner of our lives. From small robots that automatically reply to messages on LINE to smart assistants used by companies to generate reports and write programs, AI seems to have become a part of our work and life. As a user of at least five different AI tools every day, I am often amazed at their fluency and intelligence. At some moments, I even feel that they understand me better than I understand myself!

But because of this, a sense of unease begins to emerge - do we really understand how these AIs reach their conclusions? Whenever I see AI complete an almost flawless report, a question inevitably arises in my mind: Does it truly understand these results, or is it just a coincidence?

If I were to use a picture to describe today's AI, it would probably be: it is like a strange plant that can grow on its own. We see it blooming beautiful flowers and bearing attractive fruits, but when we pick up a magnifying glass, we find that we have no idea how its roots, stems, and leaves interact with each other.

A study recently published by Anthropic is an attempt to open this black box. They used a nearly biologist-like approach to analyze the internal operating mechanisms of large language models such as Claude 3.5. Instead of just looking at inputs and outputs, we can observe cells and trace neurons, and try to answer the question: "What is each cell of this strange plant doing?"

If AI really enters sensitive fields such as medicine, law, and finance in the future, we cannot just look at the performance results, but must truly understand whether its reasoning process is reliable, safe, and controllable. Today, let’s explore how the AI brain works through Anthropic’s research!

When you use ChatGPT for the first time, you may be surprised by its response speed, language capabilities, and amount of information. It is like an all-knowing and all-powerful online encyclopedia assistant that can write articles, modify resumes, generate marketing copy, and even write a piece of code. For many people, such tools are enough to change their work habits and lifestyle.
But if you are an entrepreneur, PM or freelancer, you will soon find that although ChatGPT can help you "make things", it cannot "complete the task". You have to direct every step yourself, as if you were working with a very smart but passive assistant. At this time, the concept of AI Agent emerged.
AI Agent is not a simple chatbot, but an intelligent system that can actively understand goals, plan task processes, and perform multi-step actions. You just need to tell it "I want to increase the conversion rate of the website", and it will automatically help you analyze website problems, make copywriting suggestions, perform A/B testing, and finally report the results. Such capabilities not only subvert our expectations of AI, but also mark the starting point for the next wave of AI revolution.
Today’s article will take you from the most basic definition to an in-depth understanding of what AI Agent is, what it can do, what are the representative tools and frameworks, and why it is the new trend that deserves your attention after ChatGPT. Let’s read on!

When a small or medium-sized enterprise begins to expand, the first problem it faces is usually not the market or product, but a lack of staff. Imagine that you are the person in charge of this company today. You may need to perform three duties: replying to customers, writing copy, and handling customer reviews at the same time.
And in the midst of these tedious but important tasks, you start hearing about a new helper that could change the way you do your job: Artificial Intelligence, or more specifically: Large Language Models (LLMs).