Super-Intelligence Search Experience “SAPIS” – Revolutionary Search Technology That Instantly Understands Your Thoughts

A New Dimension of Search

“What was that thing?” “I can’t quite put it into words, but something like this…” Everyone has experienced struggling to input appropriate keywords into a search box while harboring such vague thoughts. Conventional search systems were premised on users inputting accurate keywords, making it impossible to obtain satisfactory results with thought fragments or intuitive expressions.

ETE HOLDINGS’ AI “SAPIS” potentially solves this fundamental challenge by realizing a super-intelligence search experience. It could instantly understand vague and instantaneous questions, generate accurate responses even without learning data, and provide natural answers that capture users’ true intentions. This technology utilizes cutting-edge ambiguous search technology and particularly features groundbreaking functionality that automatically generates educational materials optimized for individuals in the educational field.

This is not merely an improvement of search engines. It could potentially be an entirely new communication experience that understands human thought processes themselves and appropriately responds to “fuzzy” questions that cannot be put into words.

1. Instant Understanding of Instantaneous Questions – Technology That Keeps Pace with Thought Speed

Synchronization with Human Thought Speed

Human thoughts race at the speed of light. For momentary questions that pop into mind, information one suddenly wants to know, such instantaneous intellectual curiosity traditionally required multiple steps: “thinking of appropriate keywords,” “examining search results,” and “searching for related information.” During this process, the momentum of thought would be lost.

SAPIS could potentially solve this problem fundamentally. Even with vague expressions that were previously unsearchable like “someone like that movie’s protagonist,” “architecture like the building in yesterday’s dream,” or “ways to resolve a somehow anxious feeling,” it could instantly understand intentions and provide appropriate information.

Technology Foundation Supporting Instant Understanding

SAPIS’s instant understanding capability could potentially be realized through three-layer high-speed processing architecture. The first layer could complete natural language semantic analysis within 0.1 seconds. Context understanding, emotion recognition, and intention estimation could be processed in parallel, instantly identifying users’ true requirements.

Technical Components of Instant Understanding:

• Semantic analysis engine: High-speed processing within 0.1 seconds
• Context understanding system: Relevance analysis with past conversation history
• Emotion recognition AI: Interpretation considering user psychological states
• Intention estimation algorithm: Identification of true requirements not explicitly stated

The second layer could execute high-speed searches of semantic networks. Relationships among hundreds of millions of concepts could be instantly explored to identify information most relevant to user questions. The third layer could customize responses considering individual personality traits and thought patterns.

Through this technology, for the question “music I want to hear when tired,” classical music enthusiasts might instantly receive recommendations for quiet piano pieces, while rock fans might get soothing acoustic songs. Not only musical preferences but also current psychological states and types of fatigue could be considered, providing truly personalized responses.

Practical Application Scenarios

A major consulting company might potentially see 40% improvement in operational efficiency by implementing SAPIS in their internal knowledge system. While previously requiring searches with specific keywords like “project management schedule adjustment client,” SAPIS could potentially present related past cases, risk countermeasures, and success points instantly from vague anxieties like “I have a bad feeling about this upcoming project.”

Revolutionary changes could potentially occur in medical settings. Some general hospitals might utilize SAPIS for nursing support, instantly providing appropriate response methods and reporting items to doctors from intuitive observations like “the patient seems grumpy” or “the medication doesn’t seem very effective.” Results could potentially include improved patient care quality and significant reduction in medical errors.

2. Response Generation Without Learning Data – Realization of Zero-Shot Intelligence

Learning Dependency of Conventional Systems

General AI systems depend on massive learning data. To demonstrate high performance in specific fields, prior training with vast amounts of field-specific data was necessary. However, the real world constantly generates new situations, unknown problems, and unprecedented challenges. In areas without learning data, conventional AI was powerless.

Particularly in highly specialized fields, latest technological trends, or personal concerns where sufficient learning data doesn’t exist, obtaining satisfactory responses was difficult. Users repeatedly faced cold responses like “I cannot answer this question,” losing expectations for AI.

Revolutionary Technology of Zero-Shot Learning

SAPIS could potentially realize “zero-shot intelligence” that generates high-quality responses even in areas where learning data doesn’t exist. This technology combines “transfer learning” that applies existing knowledge to new contexts with “emergent knowledge generation” through logical reasoning.

For example, even for questions like “new business models using quantum computers” where sufficient learning data doesn’t exist, SAPIS could potentially combine knowledge of quantum technology principles, basic business model structures, and market trends to generate highly feasible proposals.

This capability could be particularly valuable in rapidly changing modern society. For unknown situations like novel coronavirus, latest technology trends, or individual special circumstances that couldn’t be addressed with learning data, SAPIS could potentially provide useful insights.

Automatic Educational Material Generation in Education

Particularly noteworthy could be applications in education. SAPIS might potentially analyze learners’ comprehension levels, interests, and personality traits to automatically generate educational materials optimized for each individual. While conventional material development created general content for assumed learner demographics, SAPIS could potentially instantly create completely customized materials for each person.

Characteristics of Individually Optimized Material Generation:

• Difficulty adjustment according to learner understanding levels
• Example and case selection based on interests
• Explanation method optimization matching learning styles
• Real-time comprehension evaluation and content modification

Some preparatory schools might potentially see 50% improvement in student learning effectiveness by implementing SAPIS’s individual material generation system. For literature-oriented students struggling with mathematics, materials could be automatically generated that develop logical thinking through literary work structure analysis, while for science-oriented students struggling with Japanese, materials could be developed that improve language skills through scientific paper reading comprehension.

Similar effects could potentially be confirmed in corporate training. Multinational companies might automatically generate leadership training materials considering employees’ cultural backgrounds, work history, and personality traits, potentially improving training effectiveness by 70% compared to conventional methods. Japanese managers might receive proposals for leadership styles utilizing harmony-emphasizing cultural characteristics, while those from Europe and America might receive approaches emphasizing individual autonomy.

3. Natural Responses That Capture Your Thoughts – Empathetic AI Experience

Understanding True Intentions Beyond Words

Most human communication exists in parts not expressed as words. Anxiety hidden behind “I’m fine,” confusion concealed in “no particular problems,” complex emotions embedded in “somehow.” SAPIS could potentially capture these unexpressed thoughts and provide natural responses that address true needs.

Conventional search systems and chatbots processed only explicitly expressed information. However, human true requirements are often vague, contain contradictions, and are influenced by emotional elements. SAPIS could potentially realize empathetic AI experiences that understand, accept, and appropriately respond to this human-like ambiguity.

Latest Ambiguous Search Technology

SAPIS’s natural response capability could potentially be supported by cutting-edge ambiguous search technology. This technology transcends conventional keyword matching to multi-dimensionally analyze conceptual similarity, emotional relevance, and contextual connections.

The core of ambiguous search technology could be “proximity calculation in semantic space.” Words and sentences could be mapped to high-dimensional vector spaces, quantifying semantic distances. “Sad” and “melancholy” are different words in dictionaries, but in semantic space, they could be positioned closely and treated as related information.

Technical Elements of Ambiguous Search:

• Semantic vectorization: Numerical space representation of concepts
• Context analysis: True intention estimation from surrounding context
• Emotion recognition: Identification of emotions embedded in expressions
• Relevance reasoning: Consideration of indirect relationships

Through this technology, from vague expressions like “I’m kind of tired,” potential causes including physical fatigue, mental stress, interpersonal problems, or work dissatisfaction could be identified, with corresponding solutions proposed for each.

Realization of Natural Dialogue Experience

Dialogue with SAPIS could potentially feel as natural as talking with an understanding friend or senior colleague. Without using technical terminology, it could empathize with user emotions and provide information of appropriate depth at appropriate timing.

For example, for consultations like “I want to change jobs but I’m anxious,” SAPIS might not simply list job information but first explore the type of anxiety. Whether it’s economic worries, capability concerns, or interpersonal anxieties. Then, considering that person’s personality traits, work history, and current situation, it could provide the most appropriate encouragement and concrete advice.

Characteristics of Natural Responses:

• Empathy with emotions: Understanding and accepting user feelings
• Gradual deep exploration: Not cramming information at once, but expanding as needed
• Personalized expression: Selecting words and examples that resonate with that person
• Actionable suggestions: Concrete and achievable next steps

Some university counseling centers might potentially reduce counselor burden by 50% while improving student satisfaction by utilizing SAPIS for initial student consultation responses. Even during late nights and holidays, it could empathetically respond to student concerns and bridge to professional counselors when necessary.

Integrated Search Experience Revolution

New Value Creation Through Three-Technology Synergy

The three technologies of “instant understanding,” “zero-shot response generation,” and “natural responses” could potentially completely overturn conventional search and QA system concepts when integrated. Instant understanding could maintain thought flow without interruption, zero-shot generation could address unknown problems, and natural responses could provide human-like dialogue experiences.

Through this integration, SAPIS could potentially evolve from a mere information search tool to a thought partner, learning companion, and creative problem-solving supporter. Users could discover their true requirements through dialogue with SAPIS even without clear questions and encounter solutions they never imagined.

Revolutionary Applications in Education

In education, SAPIS’s integrated technology could potentially demonstrate particularly significant value. Instantly understanding learners’ vague questions, responding to unprecedented individual situations, and explaining in ways that most resonate with that person could potentially realize true individual instruction on a large scale.

Examples of Integrated Educational Applications:

• Instant understanding of vague questions like “I somehow don’t understand”
• Automatic generation of explanations tailored to that student’s unique understanding situation
• Natural educational dialogue matching student personality and interests

Some private middle schools might potentially see 3x improvement in per-teacher instruction efficiency through university-wide SAPIS implementation. From students’ vague consultations like “I don’t really understand math,” specific concepts where they’re struggling could be identified, and explanations related to their interests (e.g., music) could be automatically generated (e.g., mathematical ratios and musical chord relationships) to promote understanding.

Implementation Cases and Social Impact

Corporate Knowledge Management Transformation

In corporate knowledge management, SAPIS could potentially create new paradigms that provide organizational collective intelligence optimized for individuals. In conventional internal wikis and document management systems, reaching desired information took time, and often people gave up and asked colleagues instead.

In global IT company implementation cases, employee problem-solving time might potentially be reduced by an average of 65%. From vague consultations like “the team is scattered in new projects,” comprehensive support including past similar cases, effective team-building methods, and leadership styles suitable for that manager’s personality could be instantly provided.

Healthcare Diagnostic Support Innovation

In healthcare, new possibilities could open for accurately understanding patients’ subjective symptom expressions and using them as diagnostic clues. Support systems for identifying potential health problems from patients’ vague expressions like “I somehow don’t feel well” or “it feels different than usual” could be utilized.

Healthcare Application Effects:

• Accurate understanding of patient subjective symptoms
• Response to rare diseases and new symptom patterns
• Empathetic communication support with patients

Some university hospitals might potentially see 40% improvement in initial consultation information collection efficiency by implementing SAPIS as an interview support system, appropriately capturing symptoms and anxieties that patients find difficult to express, supporting physician diagnosis.

Qualitative Improvement of Customer Service

In customer service, innovations could occur in understanding customers’ true needs and providing high-satisfaction solutions. SAPIS could potentially appropriately address complex and personal problems that were difficult for conventional FAQ systems and chatbots.

Major telecommunications companies might potentially see customer satisfaction improve from 78% to 94% by implementing SAPIS in customer support. From vague complaints like “the internet seems slow,” technical problems, usage environment issues, and usage pattern analysis could provide multi-faceted solution approaches.

Future Prospects

Realization of AI Companions

SAPIS technology could potentially be an important step toward realizing true AI companions. Technology that understands humans’ vague thoughts, responds to unknown situations, and provides natural, empathetic communication could enable a future where AI becomes humanity’s good partner.

In the future, each person might have a dedicated AI companion that provides support in all scenarios from daily small questions to important life decisions. This AI companion could deeply understand that person’s thought patterns, values, and life experiences, providing truly personalized support.

New Era of Creative Problem Solving

SAPIS technology could potentially expand human creativity. Developing concrete plans from vague idea fragments, co-creating innovative solutions for unprecedented challenges, and providing new thinking experiences that fuse human intuition and logic could be possible.

Creativity Enhancement Application Fields:

• Artistic creation: Developing artist inspiration into concrete works
• Technological innovation: Converting engineer abstract ideas into feasible designs
• Social problem solving: Multi-faceted solution proposals for complex social issues
• Educational curriculum: Learning design fusing learner interests with social needs

Democratization of Knowledge Society

Ultimately, SAPIS technology could potentially democratize access to knowledge, realizing a society where everyone can obtain professional knowledge and deep insights. Transcending differences in educational level, specialized knowledge, and language ability, a future where all people can equally benefit from knowledge could be visible.

Through this technology, children in developing countries could receive world-class education, elderly people could easily utilize cutting-edge technology, and people without specialized knowledge could solve complex problems.

Revolution in Knowledge Experience Beyond Search

ETE HOLDINGS’ SAPIS realizes super-intelligence search experience through three innovative technologies: “instant understanding,” “zero-shot response generation,” and “natural responses,” fundamentally transforming conventional information search concepts. Utilizing cutting-edge ambiguous search technology, it could achieve automatic generation of individually optimized educational materials particularly in education.

This technology could potentially provide revolutionary knowledge experiences that keep pace with human thought speed, respond to unknown problems, and capture true intentions. From vague and fragmentary thoughts to concrete and practical solutions, it could be a new paradigm supporting entire human cognitive processes.

SAPIS technology could potentially be utilized across all fields including education, business, healthcare, and customer service, evolving human intellectual activities into more efficient and creative forms. As a true knowledge partner beyond search, SAPIS could potentially bring new possibilities to human intellectual progress.

The era of super-intelligence search experience could potentially begin.