“The Emergence of GPT Search and the Resonance of Han Kang’s Literature”
Here’s the original text organized into a Medium-style format, with headings and subheadings for readability:
Han Kang’s Nobel Prize in Literature and the Dawn of GPT-Search: Humanity and AI at a Crossroads
A Historic Milestone for Humanity
As we celebrate Han Kang’s Nobel Prize in Literature, a historic achievement that showcases humanity’s unique depth of insight and exceptional storytelling abilities, we simultaneously witness the deepening of the AI era with the emergence of “ChatGPT Search” (hereafter referred to as GPT-Search). This innovative AI technology enables real-time knowledge search and provides immediate insights, fundamentally changing how we acquire and learn knowledge.
Fundamental Questions in the Age of AI
With AI’s rapid development, fundamental questions arise:
• If AI takes over learning, will human learning become unnecessary?
• Should books be written for AI rather than humans?
These are profound inquiries, but they require a shift in perspective. The key understanding here is that AI’s “learning” is not truly learning in the human sense — it is data processing. AI should be seen not as a replacement for human intelligence but as a collaborator that organizes, analyzes knowledge, and assists in creation.
A Time for Reflection and Adaptation
We have time to develop and deepen our understanding of our relationship with AI. As the saying goes, “only death is irreversible.” Even if we make mistakes and encounter trial and error in our journey with AI, we can always adapt, modify, and improve. What we need most now is to understand AI more deeply and build a wiser, more collaborative relationship with it.
GPT-Search: Transforming Search Experiences
Enhanced Utility Through Real-Time Search
With its new capabilities, GPT-Search is expected to significantly enhance ChatGPT’s utility across multiple dimensions. By integrating real-time search functionality, it replaces the traditional experience of navigating through numerous hyperlinks on search engines with conversational responses. This allows users to obtain information directly through chat, without the need to explore individual web pages.
Reliable, Up-to-Date Information
GPT-Search can pull in real-time contextual information, providing answers that go beyond the limitations of static training data. This improvement enhances reliability in fields requiring high accuracy, such as news gathering, scientific research support, and legal consultation.
Specialized and Personalized Information Access
For experts and academic users, GPT-Search can limit its search scope to specific professional databases or domains, offering customized responses. This tailored access supports fields like social media analysis, market research, and competitive intelligence by delivering real-time trend analysis, social issues, market changes, and information on the latest innovations.
A New Era: The End of Search and the Rise of Symbiotic Intelligence
Beyond the Era of Search
ChatGPT is evolving from a static assistant into an Adaptive Real-Time Research and Information Tool. With capabilities like context-based responses to complex questions, personalized recommendation systems, intelligent information filtering, and seamless conversation flow, we are moving beyond the Era of Search.
The Dawn of Symbiotic Intelligence or Personalized Insight
This shift signals the beginning of what could be called the Era of Symbiotic Intelligence, where humans and AI complement each other through collaboration, or the Era of Personalized Insight, where AI aids decision-making by providing optimized insights for each user.
New Challenges for the Digital Ecosystem
Impact on Existing Business Models
As AI-human interaction evolves, GPT-Search introduces significant changes and challenges for the digital ecosystem. First, this technology threatens the click-based advertising revenue model of existing search engine companies, like Google, and may lead to decreased traffic for website operators.
Quality and Reliability of Information
Concerns are also raised regarding information quality and reliability. Comprehensive information provided by GPT-Search may lack source transparency, and response quality could vary based on the AI model’s training level. With fewer opportunities for users to verify original sources, there’s a risk of rapid spread of misinformation or biased viewpoints.
Redefining the Knowledge Cycle
A Revolution in Knowledge Circulation
The new search experience (UX) introduced by GPT-Search will bring revolutionary changes to the entire knowledge circulation system. This system, encompassing knowledge generation, distribution, consumption, and feedback, is fundamentally transformed by AI.
1. Knowledge Generation: By integrating various sources, GPT-Search reduces the need for direct information collection, reshaping how knowledge is created.
2. Knowledge Distribution: By providing comprehensive answers rather than individual links, GPT-Search improves distribution efficiency but may reduce visibility and profitability for original content creators.
3. Knowledge Consumption: User convenience increases as simple conversational access replaces the need to explore multiple sites, though this may limit opportunities for deep learning.
4. Feedback and Improvement: User interaction within the chat environment drives algorithm improvement, marking a shift from traditional feedback models based on clicks and time on page.
These changes are expected to redefine how we find and utilize information.
Humanity’s Unique Value in the Age of AI
At this moment of remarkable AI technological advancement, Han Kang’s Nobel Prize achievement serves as a reminder of the enduring value of uniquely human capabilities. Humans possess a special ability to explore deep emotions, search for life’s meaning, and touch each other’s hearts through language that expresses our shared humanity.
While AI technologies like GPT-Search show innovative possibilities in information processing and knowledge transfer, Han Kang’s work proves that true understanding and empathy originate from the human heart — not mere data processing. This will remain a uniquely human domain that AI, no matter how advanced it becomes, can never fully replicate.
By reflecting on both the advancements in AI and the timeless qualities of human creativity, we stand at the threshold of a new era, ready to shape a future where technology complements our humanity rather than replaces it.
