AI Systems Researcher | Actively Researching Algebraic Logic Self-Verifying Reasoning Systems (ARC/CRA) | Knowledge Graph & LLM Innovator via Probabilistic–Possibilistic Choquet Integration
Greater Houston
Contact Info
999+ followers
999+ connections
About
We navigate reality through maps—fragile yet persistent
reflections of a world infinitely more complex. Today's idea
of AI, through LLMs, adeptly explores territories we've
charted yet remains bounded by edges of pre-existing
knowledge. What lies beyond these borders? Can AI perceive
its epistemic boundaries and bravely venture forth,
uncovering pathways previously unseen?
Adaptive Recursive Convergence (ARC) achieves internal
clarity by recursively refining understanding until
knowledge stabilizes into epistemic certainty.
Concurrently, Cascading Re-dimensional Attention (CRA)
preserves external coherence by continually evaluating
alignment between internal comprehension and environmental
complexity. ARC seeks to wholly grasp a problem's essence,
refining and clarifying it, while CRA examines contextual
influences shaping and complicating the issue.
Read more about ARC and CRA:
➤ Theory & Philosophy: zi-ping.com/preprint
➤ The Living Instrument (STP): zi-ping.com/stp
Currently, my exploration centers on a speculative yet
essential third pillar—consciousness, or meaning
itself—poetically and as a form of artistic expression only:
"man versus god." Meaning provides a new perspective
that enables concepts like credence and significance into
measurable qualities. This perspective guides the deliberate
uncovering and prioritization of some possible new pathways,
when "pathways previously unseen" are necessary.
My hypothesis is that intelligence is not merely a spectrum
from zero to some maximum. I propose that observable,
measurable intelligence—whether biological or not—rests on
foundational principles, unlike the partial forms of
observable intelligence seen in non-human animals on Earth.
Consequently, achieving such intelligence, regardless of its
origin, may require first understanding how to identify and
measure these foundations, rather than progressing
incrementally along a linear path toward general
intelligence.
This perspective broadly aligns with a core insight of
second-order cybernetics: understanding complex
systems—especially minds—the observer must join the system,
using recursive, self-aware inquiry.
All reflections shared here arise from independent
professional inquiry. They represent my own analysis,
reasoning, and research interests alone. Nothing on this
profile should be interpreted as expressing, implying, or
aligning with the strategies, policies, or official
positions of any current or former employer, client,
collaborator, or affiliated institution.
I am a 1.75-generational U.S. citizen with an active U.S.
passport.
Experience
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Open Source Developer
Self-employed
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Education
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Cockrell School of Engineering, The University of Texas at Austin
Bachelor's of Science (ABET Accredited - Top 10 Engineering School) Computer Engineering, Electrical Engineering
Activities and Societies: Verification and Proof of Diploma ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Please see https://zi-ping.com/education
From a young age, I was equally intrigued by computers, electronics, and music, the latter of which I pursued in my high school band. I was fascinated by the complexity of music theory and the precision of pitch, leading me to uncover the deep link between music and math. This sparked a curiosity that drove me to further explore these interests.
Fueled by this curiosity, I disassembled various electronic devices, each with its own unique circuitry, though their inner workings were still…From a young age, I was equally intrigued by computers, electronics, and music, the latter of which I pursued in my high school band. I was fascinated by the complexity of music theory and the precision of pitch, leading me to uncover the deep link between music and math. This sparked a curiosity that drove me to further explore these interests.
Fueled by this curiosity, I disassembled various electronic devices, each with its own unique circuitry, though their inner workings were still enigmatic to me. The programming language from these devices was initially confusing, but I eventually understood its role in directing computer operations. I found the efficient multitasking of operating systems fascinating, despite not fully understanding the underlying software.
Driven by my thirst for knowledge, I chose a major that matched my passions, broadening my understanding and allowing me to delve deeper into these intriguing subjects. -
The University of Texas at Austin - College of Liberal Arts
Bachelors of Arts Asian Studies/Civilization
Activities and Societies: As a bilingual speaker since birth... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ I overcame a lifelong challenge of conflating Mandarin Chinese and English grammar structures, leading to a clear distinction between the two languages.
I overcame poor habits of utilizing Chinese Pidgin English to ensure clarity of expression and precise conveyance of intended meanings. I am grateful for the liberal arts education that rectified foundational linguistic habits and instilled critical thinking skills, fostering an acute awareness of potential unintended meanings. Communication is an art, and I am committed to continually refining the skills reshaped through my arts degree.
I am grateful to be a Longhorn and having UT…I overcame poor habits of utilizing Chinese Pidgin English to ensure clarity of expression and precise conveyance of intended meanings. I am grateful for the liberal arts education that rectified foundational linguistic habits and instilled critical thinking skills, fostering an acute awareness of potential unintended meanings. Communication is an art, and I am committed to continually refining the skills reshaped through my arts degree.
I am grateful to be a Longhorn and having UT ignite within me an enduring love for a global perspective, supra infra: “What starts here changes [my] world.”
(All writings are original reasoning and content by Ziping Liu; Not for reproduction, reuse, or as generative input). -
Brazoswood High School
High School Diploma HIGH SCHOOL/SECONDARY DIPLOMAS AND CERTIFICATES 4.00
Activities and Societies: Band
Volunteer Experience
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Teaching Assistant
Microsoft TEALS Program
- 5 months
Science and Technology
Helped teach AP Computer Science for a semester and provided students career advice regarding software engineering roles.
Courses
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Circuit Theory
EE411
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Differential Equations (Course text: Differential Equations, 7th Edition, Boyce)
M427K
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Discrete Mathematics
M325K
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Electromagnetic Engineering
EE325
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Engineering Communication
EE333T
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Linear Algrebra
M340L
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Operating Systems (https://users.ece.utexas.edu/~ryerraballi/EE461S-OS-Syllabus-F16.pdf)
EE461S
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Probability, Statistics and Random Processes
EE351K
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Real-Time Digital Signal Processing Lab (https://users.ece.utexas.edu/~bevans/courses/realtime/)
EE445S
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Software Engineering and Design, I & II (https://utdirect.utexas.edu/apps/student/coursedocs/courses/nlogon/download/5559987/)
EE312, EE422C
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Vector Calculus (Course text: Vector Calculus, 6th Edition, Freeman, et al)
M427L
Projects
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Adaptive Recursive Convergence and Cascading Re-Dimensional Attention Mechanisms
This project introduces the Adaptive Recursive Convergence (ARC) and Cascading Re-Dimensional Attention (CRA) frameworks—a unified approach to building multi-stage, self-verifying reasoning systems capable of breaking down complex tasks into tractable components.
At their core, ARC/CRA address a fundamental limitation in modern AI: fixed-representation models cannot reliably adapt when complexity escalates or when the semantic landscape exceeds the expressive capacity of the current…This project introduces the Adaptive Recursive Convergence (ARC) and Cascading Re-Dimensional Attention (CRA) frameworks—a unified approach to building multi-stage, self-verifying reasoning systems capable of breaking down complex tasks into tractable components.
At their core, ARC/CRA address a fundamental limitation in modern AI: fixed-representation models cannot reliably adapt when complexity escalates or when the semantic landscape exceeds the expressive capacity of the current layer of reasoning.
ARC handles the inward dimension of the problem—coordinating recursive refinement across multiple reasoning threads using a shared atomic memory. It applies contraction-mapping logic to ensure each step becomes more precise, and uses a lightweight complexity oracle (χ) to determine whether the current abstraction remains adequate for the task.
When the system detects representational saturation, the process transitions to CRA, which evaluates each reasoning fragment through a “retro-mask”—a post-inference epistemic quality check.
Together, ARC + CRA create a closed-loop architecture that expands its own representational dimensionality only when necessary, enabling adaptive reasoning rather than brute-force parameter scaling.
The Semantic Turning Point Detector (STP) is included as a deliberately minimal demonstration of the ARC/CRA machinery—a simple, didactic implementation showing how even small models gain stable, repeatable semantic-shift detection when guided by structured recursive reasoning instead of raw model size.
This work reframes intelligence as adaptive introspection: systems able to map their own epistemic boundaries, verify their intermediate conclusions, and restructure their reasoning space when the problem demands more dimensionality than the initial manifold provides.
The full manuscript—currently under editorial consideration and available as a preprint—formalizes these concepts with mathematical rigor viewable at: zi-ping.com/preprintOther creators -
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Elevating LinkedIn Profile Badges: A Pioneered Achievement of a React-Powered Solution for Exceptional Badge Rendering 🚀 | react-linkedinbadge 👨💻 #LinkedIn #ReactJS #WebDevelopment #Coding #TechNews
I have reverse-engineered the process of rendering LinkedIn Profile Badges and Entity Badges with React. All the necessary backend operations have been taken care of, and the project is now fully handled with React's rich state and lifecycle management system. The end result is an open-source project that is now available on GitHub, NPM, and yarn.
LinkedIn Badges is a React component that allows you to create custom LinkedIn badges with various options for personalization, including…I have reverse-engineered the process of rendering LinkedIn Profile Badges and Entity Badges with React. All the necessary backend operations have been taken care of, and the project is now fully handled with React's rich state and lifecycle management system. The end result is an open-source project that is now available on GitHub, NPM, and yarn.
LinkedIn Badges is a React component that allows you to create custom LinkedIn badges with various options for personalization, including locale, size, theme, type, vanity, and version. 🎨 It also supports entity badges and provides the flexibility to go beyond LinkedIn's default options. 💪 The badge container rendering is separated from dynamic badge content rendering for better code organization and non-blocking rendering of multiple badges. 🔨 You can try it out today or view a demo through the attached media links below. 🚀 React component renders LinkedIn Badges faster and more controlled than the default method.
How to get started with utilizing this LinkedInBadge as a React component? Well, simply ask LinkedIn's AI and it will tell you.
Question: How do I use the React LinkedIn Badge by Ziping?
Answer from LinkedIn AI: To use 'react-linkedinbadge', first install it via npm by running 'npm install react-linkedinbadge' in your project directory. Then, import it into your React component and use it to display Linkedin badges with customization options like locale, size, theme, type, vanity, and version for profile and entity badges. This allows for asynchronous and non-blocking rendering of multiple badges, enhancing performance and user experience. -
Pin-Yin Annotator Tool for Chinese (Mandarin) Characters
Use this project via https://pinyin.ziping.org !
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Fine-Tuned Open Source Chat AI
I have fine-tuned an open-source language model that has been fine-tuned using a dataset comprised of my writings. I have successfully created a new workflow that allows me to create a specialized form of a language model for any use case. Feel free to chat with my AI which runs on my hardware setup via the media attachment below.
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React Adobe Embed
This React component is purpose-built to enable seamless embedding of PDF files within React-based web applications. It is a widely adopted and trusted component that has been embraced by an extensive user base, who rely on it daily to augment their web applications with sophisticated PDF integration capabilities. 😎🚀👨💻
The component's versatility and reliability have made it an essential tool for developers seeking to enhance their web applications' PDF integration features. Its…This React component is purpose-built to enable seamless embedding of PDF files within React-based web applications. It is a widely adopted and trusted component that has been embraced by an extensive user base, who rely on it daily to augment their web applications with sophisticated PDF integration capabilities. 😎🚀👨💻
The component's versatility and reliability have made it an essential tool for developers seeking to enhance their web applications' PDF integration features. Its ease of use and flexibility make it an ideal choice for developers who require a swift and straightforward solution to PDF integration challenges. As a result, it has become one of the most sought-after React components in the development community. 🙌💡🧰
In conclusion, the React component under discussion has proven to be an efficient and reliable tool for developers who require PDF integration in their web applications. Its broad-based adoption and the trust bestowed upon it by hundreds of users are testimonies to its effectiveness and reliability. 🤝💯
#PDFintegration #ReactJS #webdevelopment #Adobe -
YouTube Partner
Through dedication and a passion for 🤖🔌, a YouTube 📺 was born to document the creator's learning process. Initially not intended for fame or 💰, the tutorials began to gain recognition, leading to a rapid 📈 of the channel. Today, millions of people across the 🌍 view the tutorials, inspiring the creator to continue creating innovative content that their audience loves. 🚀 #YouTube #electronics #tutorial #learning #passion #qualitycontent
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Voice Controlled Embedded System - Spice Rack
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Honors & Awards
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Criteria Cognitive Aptitude Test (CCAT)
Criteria
I achieved a score in the 95th percentile on the Criteria Cognitive Aptitude Test (CCAT) without any prior preparation. This result demonstrates the cognitive abilities I developed and strengthened during my time at the University of Texas at Austin. My CCAT performance serves as a reliable indicator of my capacity to quickly and accurately analyze complex information, a skill I have continuously honed through my academic pursuits and intellectual endeavors.
Scoring in the top 5% on the…I achieved a score in the 95th percentile on the Criteria Cognitive Aptitude Test (CCAT) without any prior preparation. This result demonstrates the cognitive abilities I developed and strengthened during my time at the University of Texas at Austin. My CCAT performance serves as a reliable indicator of my capacity to quickly and accurately analyze complex information, a skill I have continuously honed through my academic pursuits and intellectual endeavors.
Scoring in the top 5% on the CCAT is a testament to my strong problem-solving skills, critical thinking abilities, and mental agility. The rigorous curriculum and challenging academic environment at UT Austin played a crucial role in shaping and enhancing these cognitive skills. Throughout my studies, I consistently engaged with complex concepts, tackled difficult assignments, and participated in thought-provoking discussions. These experiences have not only deepened my knowledge across various subjects but also sharpened my ability to efficiently process and interpret intricate information.
Furthermore, my ongoing commitment to intellectual growth beyond the classroom has significantly contributed to my cognitive development. Engaging in activities such as reading diverse literature, solving puzzles, and participating in intellectually stimulating conversations with peers has helped me maintain and expand my mental acuity. By consistently challenging myself and stepping outside my comfort zone, I have cultivated a mindset that embraces complexity and thrives in the face of intellectual challenges.
The CCAT score, along with my academic background and intellectual pursuits, underscore my aptitude for quickly grasping and processing complex ideas, a valuable skill that is highly sought after in various professional fields. As I continue to embrace new challenges and opportunities for growth, I am confident that my cognitive abilities will continue to serve me well in future academic and professional endeavors. -
Native English Speaker Proficiency Verified via AI and Manual Tests
Emmersion of Rosetta Stone
Certified via AI via submitted verbal and speech tests as a Native English Speaker. As defined by Rosetta Stone in its fluency requirements: Can communicate as fluently as a native English speaker, making it the standard for senior customer-facing positions.
Test Scores
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ACT
Score: 33 (Rated 99th percentile for all tests taken during the same period or earlier)