AI model Claude is leading innovative changes in science and industry by mobilizing 950 agents to analyze 1.9 billion protein data points, leading to the discovery of a new enzyme system.
Imagine this: what if there were an AI that could sort through data that would take thousands of researchers years to process, all in just a few hours, in order to solve complex scientific riddles? It is like having countless detectives tracking clues simultaneously. Recently, Anthropic’s AI model, ‘Claude,’ accomplished exactly this kind of feat in the scientific community. Today, we will easily explain how our smart AI friend Claude is changing the worlds of science and professional practice.
Why It Matters
If the AI of the past was a ‘consultant’ role that simply answered questions, the latest AI like Claude is evolving into an ‘agent’ that plans and executes tasks on its own. Models like Claude 4 Opus handle coding or complex tasks autonomously, and this is not just about increasing work speed. By letting AI scan vast amounts of data that were previously difficult for human researchers to access, it has become possible to dramatically accelerate the speed of major discoveries that can change human life, such as drug development or biotechnology. This is an innovation equivalent to having hundreds of assistants simultaneously helping a human researcher.
The Explainer
How is Claude capable of this? Simply put, imagine you need to find every sentence containing a specific word across millions of books in a library. If a human did it alone, it would take a lifetime, but it would be much faster if you hired hundreds of students (agents) and assigned each one a section.
In fact, Claude recently achieved scientific success in this way. As many as 950 autonomous Claude agents teamed up to scan 1.9 billion protein clusters (protein data clumps) over 21.5 hours. As a result, they succeeded in discovering a new enzyme system whose identity was previously unknown. Source 21
This process is similar to looking into an unknown world, invisible even under a microscope, through a magnifying glass equipped with high-performance filters. This is possible because of the AI’s excellent ability to ‘structure’ and ‘classify’ vast amounts of data. Metaphorically, it is like finishing the process of finding a pearl of a specific shape in a giant sand pit in the blink of an eye. Source 14
Where We Stand
Currently, Claude is being used extensively, ranging from everyday functions to highly professional fields.
- Work Automation: Anthropic is automating 95% of the business analysis queries that occur internally using Claude. Source 14 Beyond simple data analysis, if you provide a CSV file, it performs statistics and visualization with ease.
- Smart Search: Now, Claude uses its web search function to find real-time information and can also show images found within the results.
- Web Browser Control: With the Chrome extension installed, it is now possible for the AI to visit websites and fill out forms on the user’s behalf. Source 15
Of course, it is not perfect. Research into interpretability has revealed that even when performing simple calculations like addition, the internal mechanism may differ from the way we explain it. Therefore, AI analysis results should be used as ‘reference material’ that must undergo a final review by a professional researcher. Source 12
What’s Next
Moving forward, the feeling of ‘talking to Claude’ will be replaced by the feeling that ‘Claude is doing my work for me.’ Next-generation models like Claude 4 will perform complex, long-running tasks more accurately.
Users are likely to move from worrying about inputting complex prompts to becoming ‘managers’ who convey goals to the AI and provide final verification of the output. Source 7 Scientists will set and verify hypotheses faster through Claude, and data analysts will be freed from simple repetitive tasks to focus on finding more valuable insights.
What we must do is critically accept the results that this powerful tool named Claude provides and deliberate on how to connect them toward improving our lives. AI is now firmly establishing its position not just as an assistant, but as a co-researcher conducting human inquiry together.
References
- Claude 4 Announcement - Anthropic
- Claude discovers novel enzyme system - Anthropic
- Anthropic internal analysis query 95% automation case - Core Today
- Introduction to Claude data analysis - Analysis AI Note
- Enabling Claude web search function - Claude Help Center
- Claude (AI) Wikipedia - Wikipedia
- Integration of Claude Cowork and Chat - Claude by Anthropic
- Claude Technology Trends (2026-03-26) - Gyu Hwan
- Claude Paper and Research Analysis Tips - Charly Choi
- AINewsToday: Claude’s discovery of a new enzyme system
- Approximately 100 million protein clusters
- Approximately 1.9 billion protein clusters
- Approximately 5 billion protein clusters
- Approximately 50%
- Approximately 75%
- Approximately 95%
- Bing
- Naver