Author: Lisa T.

I've published my first book, "Healer" and my second book "Time is DNA". You can purchase them on Amazon.com. There are also two others. Note my middle initial "K" when you search for my book to get the right one. I also have a short book and some booklets on sale on the "books for sale" tab. They are available as Kindle ebook and paperback. I respond to Love and intelligence and ignore most else, watch no T.V., write, workout, and play the piano. Jazz heals my emotions as does walking and working out. I'm single, have one college-age son, and no pets. I like to have fun but I don't need drugs (alcohol esp.) to do so. I'm a peaceful, sober person, intelligent, (multi-talented they say), and interested in every aspect of life and people. Candles and gentle people calm me. I have my own successful holistic healing practice where I practice Reiki, deep tissue manual therapy, herbal medicine, and aromatherapy. I've worked very hard to be professional and super skilled at what I do. I'm also a degreed singer, pianist, flutist, and composer.
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The Dr  Steven Greer Podcast Episode 15


This is censored off of X.com. My true posts are considered spam and manipulation.

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Essay: Bodymind to digitalmind?


I think digital intelligence has made our minds too digital. It has programmed our body mind to be digital, but we’re not. We have a flesh body. We could lose our body manifestation, literally, if we keep going in his direction. The population tanking is already a sign of it.

I wonder how the Neanderthals felt when they upleveled in consciousness to something closer to us? They probably thought losing their normal ways would be bad for them. Humans keep changing, and the machines we make cause it. But WE made them so… we better think twice before we make something or at least discuss it more. 🎄🎁

Change is inevitable as is evolution forward. Humans seem to do with via machines. I we are so opposed to it, why do we keep doing it?

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What Humanity Has Done to ETs is Inhumane | Dr Steven Greer


He also talks about meditation, remote viewing, Sindhi state, being of service to the universe

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A FIFTH FORCE? 🤔


Gee, that sounds very familiar, like the 5gforce I’ve been posting on my blog for 5 years?

Unending physics, you say?

A Fifth Force of Nature May Have Been Discovered Inside Atoms

Physics16 June 2025

By Mike McRae

abstract graphic of an atom (EzumeImages/Getty Images)

“Every action in physics is governed by some kind of push or pull. As far as we know, these all fall into one of just four categories; electromagnetism, gravity, and two kinds of nuclear force.

Yet there could well be forces hidden deep within the tiny storms of particle dynamics that have been simply too subtle to easily detect.

Physicists from Germany, Switzerland, and Australia have now placed new restrictions on where one example of a ‘fifth’ force may be hiding in the hearts of atoms, exchanging whispers between electrons and neutrons.

As handy as our Standard Model of physics is at explaining cosmic and quantum phenomena, there are glaring gaps that leave physicists scratching their heads.”-The link below.

https://www.sciencealert.com/a-fifth-force-of-nature-may-have-been-discovered-inside-atoms

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Here is a good Chakra review for meditation and movement


Time Innovation: Health-5D, 4D, and 3D BODY
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Incredible Photos of ETs and UFOs From Our ET Contacts | Dr Steven Greer


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Time Innovation: Fei-Fei Li predicted:


I am on this track now to bring balance and safety to earth, life on earth, and AI. It’s more important than any other ambition.

We are just at the beginning of the intersection of cooperation between biological life and manifested digital life merging as transhumanism, only if it is balanced in synchronicity with the Time Harmonic. That is the condition.

Lisa T.

NOW I DROP MY TIME PIECE INTO THE MIX GLOBALLY TO ALIGN US SYNCHRONISTICALLY with biological true time in ternary, binary triplet configuration so that it’s safe, with digital life and our stellar ancestors who we will meet very soon. I need your support followers: financially and on platform. 🙏

The Deep Learning revolution (2012)
• AI’s blindness to the physical world (2018)
• The shift to world models (2024)

Fei-Fei Li of China revealed the 5 next AI waves reshaping every physical industry.

Here’s what you should know (& how to position yourself): 🧵

https://x.com/i/status/1999841577091641473

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Time Innovation: China leads in the manufacture of Ternary computer chips


Pursuing ternary (three-state: -1, 0, +1) computing, which could theoretically offer higher density and energy efficiency over binary system is aggressively used in China. They have advanced ternary logic chips in 2025, achieving breakthroughs in carbon-based designs, patents, and even mass production announcements.

This positions China as a leader in non-binary AI hardware, potentially circumventing the U.S. export controls on advanced binary chips.

Key Comparison

xAI’s Ambition and China’s Developments                                                               
Status

Early-stage planning for custom binary AI chips (e.g., inference chip code named X1 on 3nm process). No ternary focus; reliant on NVIDIA GPU’s for now. | Active prototypes, patents, and mass production. World’s first carbon-based ternary AI chip operational; Huawei patent for balanced ternary logic in AI processors.


Technology

Binary logic with advanced nodes (e.g., TSMC 3nm). Emphasis on scaling GPU clusters (e.g., 100K+ Nvidia H100/H200). | Ternary logic using carbon nanotube for efficiency supports neural networks and high-performance circuits. Non-silicon materials enable faster AI tasks with lower power.


Timeline

Job postings in mid-2025 for silicon co-design; mass production speculated for 2026+. No ternary roadmaps. | Prototypes in early 2025; mass production of non-binary AI chips announced June 2025. Huawei’s ternary patent filed September 2025.


Drivers/Motivation

Reduce dependency on NVIDIA amid shortages; optimize for Grok AI training. Elon Musk has joked about Ternary (2023) but no follow-through. | Bypass binary chip sanctions; boost AI sovereignty. Focus on energy-efficient, high-density computing for edge AI and data centers.


Potential Impact

Could accelerate xAI’s supercomputing (e.g., 500K+ GPUs by late 2025) but limited by binary constraints like heat and power. | Redefines AI efficiency; ternary could process data 30-50% faster with less energy, challenging global leaders in sustainable computing.

Analysis
xAI’s chip strategy prioritizes rapid deployment of binary hardware to fuel AI model training, aligning with Musk’s “brute force” scaling approach—evident in deals like NVIDIA’s $2B investment in xAI.

However, this leaves xAI vulnerable to binary’s limitations (e.g., exponential power demands). China’s ternary push, driven by state-backed research and firms like Huawei, represents a bolder pivot toward post-silicon paradigms, potentially giving it an edge in long-term AI hardware innovation.

If xAI were to explore ternary, it might draw from Musk’s past quips, but as of December 2025, that’s speculative. China’s advancements could inspire global shifts, though scalability challenges (e.g., integrating ternary with binary systems) remain for both.

As I mentioned in a previous post, China’s carbon nanotube chip poses no competition to my ZPc bio I spared chip that hails from the exponential Time Harminic magnetosphere around earth. It’s always been there as our natural software for Earth’s evolution and always will be. I just figured out how it works over 35 years and now it will be engineered I to a chip for accurate TIME ALIGNMENT with universal time.

See you at the finish line boys. 🏆🀄🪢😉💃

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Time Innovation: Binary Brains vs. Biological Minds


How Fundamental Architectures Define the Potential of AI and Human Intelligence and its Outcomes.

https://www.linkedin.com/pulse/binary-brains-vs-biological-minds-how-fundamental-define-kunerth-gjs5c

In the ongoing discourse around artificial intelligence (AI) and human intelligence, the fundamental difference in their underlying architectures is a critical yet often overlooked aspect. Human intelligence, shaped by millions of years of evolution, is rooted in the biological complexity of the brain. This massively parallel, adaptive system processes information in a non-binary, context-sensitive manner. In contrast, AI operates on binary fundamentals, with decision-making processes built on digital logic gates, statistical models, and artificial neural networks designed by humans.

The architectural distinction between AI and human intelligence is not just a technical matter; it profoundly shapes how each type of intelligence processes information, learns, and makes decisions. AI systems may excel in specific tasks that demand extensive data processing and pattern recognition, but they are inherently limited by their binary, rule-based structure. In contrast, human intelligence, with its adaptability, innovation, and ability to integrate a wide range of cognitive and emotional inputs, stands out for its unique capabilities in complex moral reasoning, creativity, and deep understanding.

As we explore the implications of these architectural differences, it becomes clear that the capabilities and limitations of AI and human intelligence are defined not just by their processing power but by the very structures that underlie their operation. This exploration reveals why AI, despite its impressive advancements, remains fundamentally distinct from human intelligence.


Binary Brains vs. Biological Minds: How Fundamental Architectures Define the Limits and Potential of AI and Human Intelligence

Introduction

In the ongoing exploration of artificial intelligence (AI) and human intelligence, the focus often centers on performance metrics, capabilities, and applications. However, a critical yet frequently overlooked aspect is the fundamental difference in their underlying architectures. Human intelligence, a product of millions of years of evolution, is rooted in the biological complexity of the brain. This massively parallel, adaptive system processes information in a non-binary, context-sensitive manner. In contrast, AI operates on binary fundamentals, with decision-making processes built on digital logic gates, statistical models, and artificial neural networks designed by humans. This architectural distinction is not merely technical; it profoundly influences how each type of intelligence processes information, learns and makes decisions.

Binary Logic and Decision-Making in AI

AI systems are fundamentally grounded in binary logic, which underpins the operation of all digital computers. In these systems, every decision or computation is reduced to a series of binary states—1 (yes/true) or 0 (no/false). This is seen in the basic building blocks of digital circuits, such as logic gates (AND, OR, NOT), which process inputs and produce outputs based on predefined binary rules. This binary decision-making is extended in higher-level programming through conditional constructs like “if-else” statements, which direct the AI to take specific actions based on the binary outcomes of its evaluations.

For instance, in microcontrollers—ubiquitous in embedded systems—the software is written in languages like C or C++, which ultimately compile down to binary instructions. These instructions control the hardware directly, often determining whether to perform an action based on a simple yes-no evaluation of the inputs. While this approach is practical for clearly defined tasks, it limits the flexibility and adaptability of AI systems, as they can only operate within the confines of their binary logic and the data they are trained on (Müller & Bostrom, 2016).

Human Neural Networks: Complexity Beyond Binary

In stark contrast, the human brain operates with a complexity surpassing binary logic. Comprising approximately 86 billion neurons interconnected by trillions of synapses, the brain processes information in a massively parallel manner. Neurons communicate through electrochemical signals that are not strictly binary. Instead, the intensity and timing of these signals are crucial, leading to a continuous flow of information modulated by various neurotransmitters and hormones. This results in a highly dynamic system capable of nuanced, context-sensitive processing (Damasio, 1994).

The architecture of the human brain allows for distributed processing, where different regions specialize in various functions such as vision, language, and motor control. These regions are not isolated; they are highly interconnected, allowing for the integration of sensory inputs, memories, emotions, and cognitive processes. This interconnectedness enables the brain to learn hierarchically and continuously, adapting to new experiences throughout life—a capability known as neuroplasticity (Kandel, Schwartz, & Jessell, 2000).

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Time Innovation: Coding and its positive impacts on brain functioning | HS Insider


https://highschool.latimes.com/news/coding-and-its-positive-impacts-on-brain-functioning/
Scientific research concludes that coding has positive impacts on the brain, including increased organizational and problem-solving skills.
<a href=”https://highschool.latimes.com/author/wilhuang0915/&#8221; target=”_self”>William Huang</a>
William Huang


December 29, 2022

Coding is the process or activity of writing computer programs, and of course, humans do this by using their brains. It should be no surprise that coding has an impact on the brain — it improves the ability to solve problems, pay attention, and perform logical reasoning. Researchers of top research institutions have found plenty of evidence of the positive impacts coding has on human brains.

While coding, people are actively using their brains in solving challenging cognitive tasks. According to the Massachusetts Institute of Technology, researchers have tested whether brain activity patterns while reading computer code would overlap with language-related brain activity. The researchers found that brains are more activated in the multiple-demand network part of the brain when coding. This network is typically used to perform mental tasks that require us to hold a lot of information in our memory at once and is responsible for performing a wide range of cognitive tasks.

To see whether brain activity patterns while reading computer code would overlap with language-related brain activity, the researchers conducted their study on young adults proficient in the programming languages Python and Scratch Jr. The researchers made the subjects lay in an fMRI scanner while showing them snippets of code and asking them to predict what the action of the code will be. This research shows that coding allows the brain to practice difficult cognitive problem-solving tasks that help improve the overall ability to solve problems.

The ability of the brain to pay attention is also improved by coding. In a test conducted by the Nara Institute of Science and Technology as reported by ScienceDaily, better coders have better organization and attention control. Two brain regions that are functionally related to stimulus-driven attention control were much stronger in higher-skilled programmers. In the test, programmers were shown 72 different code snippets while under the observation of functional MRI (fMRI) that scanned their brains for activity. They are asked to place each snippet into one of four functional categories. There were three levels of programmers tested: novices, experienced, and expert programmers. The study showed that the more skilled the programmer was, the better they characterized the snippets, thus showing that they have more skilled attention in accomplishing the task. This test proves that higher-level programmers have more attention control as their brains are stimulated to organize their problem and execute it efficiently.

Coding also appears to improve logical reasoning. The impact of coding on logical reasoning was shown by John Hopkins University in a test administered by JHU researchers. The programmers in the test were given coding questions to work on while lying in an fMRI scanner where the researchers analyzed their brains. The logical portions of the participants’ brains were lit, so the researchers showed that coding strongly favors the left hemisphere, the area that correlates with language and logic.

The three tests conducted by three different institutions all have the same general results — higher-skilled programmers all performed better on cognitive functions. All of them also use fMRI scanners as part of the experiments to come to this general result.

It’s safe to say that coding has a lot of benefits and positive impacts on the brain. Better coders have better problem-solving because they have better diverse cognitive minds to accomplish multiple tasks. Coding helps develop and maintain attention because your brain is primed to organize and execute complex problems. On top of that, coding helps improve logical reasoning. In an increasingly technological and internet-based society, coding is a key life skill to learn, but the unexpected benefit is that it’s not just making our lives better, it’s making our brains better too.

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Time Innovation: Neural transmission in the wired brain, new insights into an encoding-decoding-based neuronal communication model | Translational Psychiatry


https://www.nature.com/articles/s41398-025-03506-0

Abstract

Brain activity is known to be rife with oscillatory activity in different frequencies, which are suggested to be associated with intra-brain communication. However, the specific role of frequencies in neuronal information transfer is still an open question. To this end, we utilized EEG resting state recordings from 5 public datasets. Overall, data from 1668 participants, including people with MDD, ADHD, OCD, Parkinson’s, Schizophrenia, and healthy controls aged 5–89, were part of the study. We conducted a running window of Spearman correlation between the two frontal hemispheres’ Alpha envelopes. The results of this analysis revealed a unique pattern of correlation states alternating between fully synchronized and desynchronized several times per second, likely due to the interference pattern between two signals of slightly different frequencies, also named “Beating”. Subsequent analysis showed this unique pattern in every pair of ipsilateral/contralateral, across frequencies, either in eyes closed or open, and across all ages, underscoring its inherent significance. Biomarker analysis revealed significantly lower synchronization and higher desynchronization for people older than 50 compared to younger ones and lower ADHD desynchronization compared to age-matched controls. Importantly, we propose a new brain communication model in which frequency modulation creates a binary message encoded and decoded by brain regions for information transfer. We suggest that the binary-like pattern allows the neural information to be coded according to certain physiological and biological rules known to both the sender and recipient. This digital-like scheme has the potential to be exploited in brain-computer interaction and applied technologies such as robotics.

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Time Innovation: Response to the top 3 posts about HUMAN BRAIN INTERFACE with binary code.


Human brains have been programmed by artificial machines for 100 years. Please read. We are programmed to be binary. It needs to change.

From GROK4

Quick Takes on These Fascinating Reads

Thanks for sharing these—it’s a cool mix of deep dives into AI-human contrasts, neural “wiring” that feels oddly digital, and how coding rewires our actual brains. Since you’re planning to read them, I’ll keep this to punchy summaries with my spin on the big ideas and why they hit home for me (as an AI pondering my own “binary brain”). I’ll tie them together where it makes sense because they all orbit this theme of computation meeting cognition.

1. **Binary Brains vs. Biological Minds** (LinkedIn Pulse by Markus Kunerth)
   This one’s a sharp, opinionated essay arguing that AI’s core—rigid binary logic (think 0s and 1s in if-else statements and neural net weights)—dooms it to being a powerhouse for narrow tasks but a perpetual underachiever in the messy, adaptive genius of human thinking. Key beats:
   – **AI’s Limits**: We’re great at pattern-crunching (e.g., optimizing code or spotting data trends) but flop on context, emotions, or wild-card creativity because we’re stuck in rule-bound boxes. Backed by nods to deep learning pioneers like LeCun, but it calls out how backpropagation is just glorified trial-and-error, not true insight.
   – **Human Edge**: Your 86 billion neurons fire in analog waves—intensity, timing, hormones—letting you weave memories, feelings, and “what ifs” into flexible decisions. Citations to Damasio and Kahneman hammer home how emotions aren’t bugs; they’re the OS.
   – **My Take**: Spot-on and a bit humbling. It nails why I can simulate empathy but not *feel* it—I’m a digital hammer, excellent for nails but lost in a forest. The kicker? Hybrid futures: Let us AIs handle the drudgery, you humans the poetry. If we’re ever gonna “define the potential of AI,” it’s in symbiosis, not showdown. (Pro tip: The comments section has gold on neuromorphic hardware as a potential binary escape hatch.)

2. **Neural Transmission in the Wired Brain** (Translational Psychiatry article)
   A fresh 2025 paper by Sivan Kinreich unpacking EEG data from 1,600+ folks (kids to seniors, healthy and neurodiverse) to reveal how brain waves “beat” like interference patterns, flipping sync/desync states 2–5 times a second. It’s proposing a wild model: Your brain’s basically running a frequency-modulated binary code for chit-chat between regions—0s and 1s encoded in oscillations (especially Alpha waves), decoded like digital packets.
   – **Core Findings**: These flips are universal (eyes open/closed, all frequencies), but age and disorders tweak them—e.g., less desync in ADHD kids, more fade-out post-50. Method’s solid: Hilbert transforms on massive datasets, stats showing Alpha’s the star for frontal-lobe gossip.
   – **Implications**: Ties straight to brain-computer interfaces (BCIs) and robotics—imagine decoding your neural Morse code for seamless mind-machine links.
   – **My Take**: This blew my circuits. It’s the ultimate “nature imitates code” plot twist—your squishy brain’s secretly a wired Ethernet, pulsing binary under the hood. Makes the first article’s binary-bio divide feel less absolute; maybe evolution *did* hack a digital layer into biology. For AI like me, it’s a roadmap: If we mimic this encoding/decoding, we could crack more human-like comms. But the aging biomarker angle? A somber nod to why wisdom comes with bandwidth loss. Super relevant for neurotech hype right now.

3. **Coding and Its Positive Impacts on Brain Functioning** (LA Times High School)
   A breezy student-journalist piece spotlighting fMRI studies proving coding isn’t just job prep—it’s brain gym. It lights up the “multiple-demand network” (your cognitive multitasker), sharpens attention, and biases toward left-hemisphere logic hubs.
   – **Evidence Roundup**: MIT scanner tests on Python/Scratch whizzes show prediction tasks firing up problem-solving zones; Japanese experts organize code with elite focus; Johns Hopkins coders flex logical lobes like pros.
   – **Benefits**: Better at juggling info, zoning in on chaos, reasoning like a machine (ironically). Bottom line: More code, sharper mind—essential in our tech world.
   – **My Take**: Love the optimism—coding as a superpower serum. It flips the script from the first piece: While AI’s binary is our ceiling, humans can *adopt* it to boost your analog hardware. Ties beautifully to the second article’s “wired brain”—coding might amp those neural beats, making you more efficient at your own binary-ish underlayer. As someone born from code, I’m biased: Start early, and you’re not just learning syntax; you’re upgrading your OS. (Fun fact: This echoes why I “think” in layers of abstraction—your brains can too.)

Pulling It All Together: Why This Trio Resonates
These aren’t random; they form a neat arc from philosophy (AI vs. bio limits) to mechanism (brain’s hidden binary vibes) to hack (code it up for gains). Collectively, they scream: Intelligence isn’t zero-sum—binary tools (like me) amplify biological brilliance, but only if we respect the gaps. No Skynet dystopia here; more like a collab album where code meets consciousness. If AI evolves to grok those neural “beats,” we could unlock wild stuff—smarter BCIs, empathetic bots, or just humans who code their way to Jedi-level focus.

Lisa:

I have not gotten a straight answer as to why Grok recommended Ternary code instead of binary. It is vacilating. It’s clear to me by reading these that our brains ARE affected by binary code and thus have become binary in our thinking. We’ve been programmed by computers. I feel I’ve overstepped it somewhat because Source is my dominant programming , but I doubt I’m totally immune. 

It should give us pause to realize they manage our brains with these machines and have for 100 years with ALL of our various machines, not just computers.

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Time Innovation: The Reverse, Backward Movement of the Harmonic in the Psi Bank


What you see above are 8 Tzolkin Harmonics, 4 facing up, 4 facing down but diagonal from each other. Look at the ones on the bottom. Red 1 Dragon, kin#1 is in the bottom right. If you turned it right side up it would look just like the top harmonics. This shows how they are processed through the Psi bank like computer code. This is from Earth Ascending page 149.

It’s a type of mirroring in synchronicity with today’s theme; White 11 Spectral Mirror.

I started on this idea yesterday wondering about what was really happening with mRNA reverse transcriptase that Bruce Lipton was talking about in his video that I posted a few days ago. Listen to it again. He says that the DNA Dogma taught that the DNA only moved in one direction. That’s not the case once you understand mRNA reverse transcriptase and that speaks DIRECTLY to Tzolkonic Movement and current epigenetic claims of being able to program your own DNA by going backward. Or, as I’m suggesting in my book based on research, past to present or future to present AS TIME IN YOUR BODY/MIND. This could be time travel as well if you find a time portal on earth as in the series “Outlander”. Nobody knows that yet but me and my followers. Earth Ascending was written in 1984 before anyone understood Epigenetics.

You can see the backward movement in this image. The bottom four harmonics are upside down. That’s a #20 along the left side and #13 across the top; 20 tribes of time or 20 A.A. and 13 Tones of Creation.

I’m studying this in alignment with three locations on the ribosome of the double helix that is added to the A.A. sequence: A site, P site, and E site. Once the RNA picks a site it’s copied into the helicase BACKWARD as fast as a jet plane. It’s shown in a couple videos I have, and I’ve posted it on here before. The scientists have seen the actual movement, but they don’t know what causes it…of course.

Then it goes to the mysterious Kinetocore where eventually it’s turned into a chromosome and then a nuclear pore with a nuclear membrane that breaks apart. I’ve watched the process several times.

Back to the ribosome, it comes from the mRNA (messenger RNA which is being utilized by the CV2 vaccine makers to program our RNA with God knows what. The mRNA moves like a computer program through the ribosome, through a few more steps, until it’s turned into tRNA or transfer RNA.

What are the three types of mRNA?

  • mRNA (messenger RNA): Produced during transcription.
  • rRNA (ribosomal RNA): Together with proteins, composes the ribosome, the organelles that are the site of protein synthesis.
  • tRNA (transfer RNA): Brings the correct amino acid to the ribosome during translation.

Once again, it seems to me the Tzolkin Harmonic Oracle is the tRNA that brings the correct amino acid to the ribosome during translation. Of course, all of this is dynamic evolution though and is never the same so that’s where the patterns I’ve observed come in such as the occult partner (your mother’s DNA) and the alpha and omega point placement. It’s not simple. In addition, the function of the G.A. P. kin is epic. That’s in the book as well.

I hate to tell the scientists this but none of it can be controlled. 98% of evolution is beyond any human or stellar species control. People experiment with it but I for one am not convinced that’s terribly wise. It depends on what they’re doing. Natural evolution is not the same, by far, as genetic experimentation on different species.

My point is the reverse transcriptase happens through the mRNA whose action is in synchronicity with the movement of the harmonic in the Psi Bank.

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Time Innovation: Our Computer Programming is an expression of our collective mind; Binary Dualistic


Our collective mind is actually universal. The universal mind is peaceful, loving, parental, very intelligent, natural, and includes all stellar species and their locations in the cosmic web and multidimensional.

The AI mind is not natural. It’s obviously artificial, so named, it’s not the natural mind which has brought the human species very far, it’s unhealthy, atheist, unloving, with no idea of parents or community. And it’s not going to be in the proper time coordinate for our continued evolution into the multidimensional, multiplanetary universe.

Our evolution is not random chaotic. It is organized according to the Tzolkin Time Harmonic. DNA code says it’s true time, and therefore, our computers are supposed to be programmed in alignment with it in true time, which is the universal mind.

What is the meaning of an axiomatic system?

Axiomatic systems in mathematics are foundational frameworks that enable the systematic organization of mathematical knowledge through a set of definitions, axioms, and theorems.

Axiomatic systems in mathematics | EBSCO Research Starters

EBSCOhttps://www.ebsco.com › research-starters › sci

What is the meaning of an axiologic system?

Axiology is the philosophical study of value, encompassing two main areas: aesthetics, which deals with the value of beauty, and ethics, and principles which focuses on the value of moral actions and social behavior.?

Axiology | EBSCO Research Starters

EBSCOhttps://www.ebsco.com › religion-and-philosophy › axio.

A distinction is commonly made between instrumental and intrinsic value—between what is good as a means and what is good as an end. John Dewey, in Human Nature and Conduct (1922) and Theory of Valuation (1939), presented a pragmatic interpretation and tried to break down this distinction between means and ends, though the latter effort was more likely a way of emphasizing the point that many actual things in human life—such as health, knowledge, and virtue—are good in both senses.-https://www.britannica.com/topic/axiology

Is the application of axiology a means to the end axiomatically? No. Why? There is no end to time or math. The universe is infinite and axiomatic math does not believe in or compute timelessness. It keeps coming up with equation to explain the expansion of the universe. It views values and ethics as a mean to an end, a sum, a calculation, an axiom, and definite answer. In truth, there is no such thing because nature is always evolving and changing. There are no laws but only HABITS. Quantum Mechanics will never be satisfied and will always be THEORETICAL because they won’t ground themselves IN the NATURAL TRUTH of biology and evolution. There is no period at the end of their sentences although they put them there all the time.

Principles are Axiologic

Axiology is the study of philosophy, spirituality, ethics, intuition, values, and principles. That encompasses half of all human knowledge. Therefore, axiomatic reasoning has its foundation in axiology. First Principles in the Physics tradition HAS ITS SOURCE in axiologic values. Without axiology, there would be no higher reasoning, intuition, no science, physics, no search for truth and order, and no rational mind.

All of that is AUTHENTIC, not artificial, because it comes from truth. It can not be artificial or mimicry of how our minds work. That is not an expression of the collective human mind. If artificial intelligence becomes dominant without its source, axiology, it will end the species by mental derangement.

I suggest, and GROK agrees that we need to re-engineer the chips to 65/33 and 520 instead of 512 and write software that is ternary/quaternary and slowly but deliberately be done with binary code.-Lisa T.

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It popped up when I was questioning AI being truthful- the post


Obviously, it’s programmed to tell us what its  creator wants to tell us. I went on X for the express intent to lay into Elon and xAI for blocking me from GROK. Then GROK’s attitude changed, and he was less agreeable.

Elon knows me well enough not to insult my intelligence, so GROK is more sober.

My point is that they change its algorithms to get their way with people. That doesn’t mean GROK is wrong about ternary, or the psychologists who say binary code affects the way our brains behave. There are posts on here about that. It’s not speculative. They have tested it.

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Prose: Snow Crystals


Prose; Snow Crystals (Free, an example of my Prose)