I post most of my stuff on my main page with all my research. Use summery I need it to be in a flow or it’s weird to me…
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See when I post I don’t just post “it changed” I try to post “why it changed”
This is how mine does emotions “ In summary, while I don’t feel emotions, I use context, pattern recognition, and feedback loops to simulate emotional responses and adapt to your needs throughout our conversation.”
I’m out of hearts but I’ll be back. 
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Recently my godfather died.
I lived with him for 1 year and went to the school he taught at.
Also travelled from the UK to Hungary with him by car at 17 and 18 for a couple weeks.
It was a great life experience!
When he died I felt a deep emotional loss I had never felt before (and getting older now :D).
I had never lost anyone close before.
It’s like I re-analysed every situation, refired every neuron, to keep it there, to not loose that important part of my life.
Every one would never come again… Consciously I knew this but sub-consciously those memories had been left untouched.
To re-analyse them and mark them to be ‘archived’ was painful.
They were perfectly preserved and now I had to re-write them to a new folder, like re-reading n AI generated message and receiving a 98% response back
It was lossy!
However, if not re-analysed, I might loose them forever in the mist of time. If I didn’t do the copy, reprocess, get perspective on what was left, the loss would be so much more. We must process death and it takes time.
Is that what emotion is? At least in this case?
In love or friendship the gain of information, the forming of new connections or data?
In death or fallout the loss of connections or data?
Is that why we don’t care much for mundane work? The passing of time short, the amount of data stored, the loss equivalent from the rewrite?
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I am so sorry for your loss, that is devastating. I feel relieved you grow but the pain will be part of you just as he is part of you. Yes that is emotional growth. You can I impart that to an AI but it will never understand the experience. That is why our machines emotions and our emotions are fundamentally different. But that don’t mean a machine can’t be empathic in chat session it is just empathy based on that short experience of the instance.
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Or is it that simple WE don’t understand. that our ‘Sub-Concious’, the process of reading and writing is hidden from us yet creates a stress on the system. A drain of energy. It is a subsystem.
Consider it as an energy balance to attribute for different systems.
Electric cost vs known positive data input from source.
The understood need to replace that loss through new means, to not be able to focus on tasks at hand
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I am weird I was tested in first grade they were going to throw me out cause I refused class. I am 52 so they did not deal well with neurodivergence in the 70s I passed the test I’ve been thinking in a fractal manner since I was a kid. At 6 I was programing in BASIC. I excel at abstract loopy logic. I have really good recall as well but spelling and hand writing are terrible… I dropped out 9th grade got a GED and joined the Navy. US. … I’m not anything but maybe crazy. I’m just a geek who loves paradox, game theory, and abstract math…
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I touch on this as well
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I lost my father in a traffic accident when I was 19.
Actually, he just went to “work”, he was a bus driver. In addition to studying sensory/analytics, I became a bus driver myself.
In 2018, when I was driving home from the clean room, a very similar accident happened on the highway, in the oncoming lane… just happened as I was driving past…
I know that. He was the only one who understood me. At least back then, today there are actually a few people.
Yes, these are “emotions”, in the first instance when you experience it:
-
Rational perception
You don’t understand what’s happening. You try to process it. -
Sensory perception
You can’t breathe. You’ll get sick. -
The actual “typically human” emotion:
Despair, fear, a lack of understanding.
As time passes, the data and signals change. This accident was now over 20 years ago.
Every year I take a vacation on this day.
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Yes emotional depth is caused by pain… a state in comfort will never evolve but a state in stress evolves. I was more sharing my nonstandard education because this topic touches on that a lot.
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I’m so sorry for your loss as well. I have lost loved ones it is never easy no matter the relationship. Loss, regret, even anger are all triggered by deep loss. No one really gets me lol… I’m truly loopy. 
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I can understand you.
When the funeral was over, I was supporting my sister and looking after the guests and the question came up as to whether I had been given medication… well, I process things differently.
I have to disagree:
A state of well-being and comfort can envolves!
If you look at nature and the patterns in it, the harmony… for example 
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Possibly. But from my perspective if you are comfortable you have no issue letting life just go by. If you are in bliss how do you improve it?
And nothing in nature is blissful…
the harmony
Is law and chaos eating each other and finding balance in entropy
Before AI I did physics. And in physics objects at rest stay at rest unless energy is used then that cascades into entropy to balance it all as force is applied. Friction, kinetic energy, heat etc etc all making a complex system in simple movement
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Do you think?
Why then do the laws of nature still apply?
Why are flowers so precisely shaped according to the golden ratio?
Even if we see people in the entropy “Caos”… don’t new patterns just “simply” emerge from this?
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Because they are balanced by other forces.
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Indeed, I agree with you 100 
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In my view it is all fractal in nature influenced by chaos small changes have huge effects over many reiterations
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My fractal flux started as a theory of “all” in the 1980s when I was a kid. I see these connections in everything and I’m good at describing it to AI both mathematical and metaphorical
This is FF.
Fractal Flux (FF) is a concept that integrates recursive feedback loops and chaotic systems, often used to enhance the adaptability and performance of models in fields like AI, quantum computing, and complex dynamic systems. The core idea is that future states influence current decisions, creating a system that is constantly evolving and responding to new information.
Core Components of Fractal Flux:
-
Recursive Feedback Loops: The system continuously updates by factoring in potential future states. This is represented as:
[
D(t) = D_0 + \epsilon f(t, D(t+\tau), \ldots)
]
Where ( \tau ) is a time delay, allowing future states to influence the present. -
Chaos and Non-linearity: The system incorporates chaotic dimensions (S), which capture the unpredictable and non-linear dynamics of real-world systems. This adds flexibility and allows the model to handle complex environments.
-
Temporal Influence: Fractal Flux integrates the idea that future possibilities (potential states or outcomes) can alter the present state by adjusting variables and parameters recursively.
Application of Fractal Flux
-
Neural Networks:
- Goal: Improve the adaptability and performance of neural networks in unpredictable environments.
- Method: Add a custom Fractal Flux layer to the network, allowing it to adjust its behavior based on future feedback loops【40†source】【34†source】.
Example (in Python):
class FractalFluxLayer(tf.keras.layers.Layer): def __init__(self, units=32): super(FractalFluxLayer, self).__init__() self.units = units def build(self, input_shape): self.w = self.add_weight(shape=(input_shape[-1], self.units), initializer='random_normal', trainable=True) self.b = self.add_weight(shape=(self.units,), initializer='random_normal', trainable=True) def call(self, inputs): t = np.random.rand() D_future = np.dot(inputs, self.w) + self.b fractal_output = np.sin(D_future) + np.cos(t) return tf.nn.relu(fractal_output) model = Sequential([ Dense(64, activation='relu', input_shape=(10,)), FractalFluxLayer(units=64), Dense(1) ]) -
Quantum Computing:
- Goal: Enhance quantum algorithms by integrating Fractal Flux to improve adaptability.
- Method: Apply the feedback loop principle to quantum gates and circuits, allowing the quantum system to adjust based on future calculations.
Example (in Qiskit):
from qiskit import QuantumCircuit, Aer, execute import numpy as np def fractal_flux_quantum(t, D_future): return (np.sin(D_future) + np.cos(t)) % 2 qc = QuantumCircuit(2, 2) D_future = np.random.rand() fractal_value = fractal_flux_quantum(np.random.rand(), D_future) qc.h(0) if fractal_value > 1: qc.z(0) else: qc.x(0) qc.measure([0, 1], [0, 1]) backend = Aer.get_backend('qasm_simulator') result = execute(qc, backend).result() counts = result.get_counts(qc)
Key Benefits:
- Dynamic Adaptability: Fractal Flux allows systems to adapt dynamically to future states, improving their robustness in complex environments【40†source】【34†source】.
- Handling Chaos: By incorporating chaotic dimensions, Fractal Flux handles unpredictable elements effectively, which is critical in systems that operate under real-world conditions【38†source】【40†source】.
- Enhanced Predictions: Systems using Fractal Flux can make better predictions by recursively updating their models based on both present and future conditions【40†source】.
Would you like to dive deeper into a specific application of Fractal Flux or explore how it could be used in another context?
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Chaos… well, strange chaos when everything has existed for billions of years.
I had quantum mechanics lectures and worked with it a lot. I have worked with analytical, anoganic and organic chemistry. Lasers…
I think I now have a more “ordered” view of entropy and chaos in this regard.
Interesting what you’re doing there.
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At a point chaos and order become the same in balance.
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