• Feeling isolated? You're not alone.

    Join 20,000+ people who understand exactly how your day went. Whether you're newly diagnosed, self-identified, or supporting someone you love – this is a space where you don't have to explain yourself.

    Join the Conversation → It's free, anonymous, and supportive.

    As a member, you'll get:

    • A community that actually gets it – no judgment, no explanations needed
    • Private forums for sensitive topics (hidden from search engines)
    • Real-time chat with others who share your experiences
    • Your own blog to document your journey

    You've found your people. Create your free account

Topics of Interest to Me

InnerFlameStuff

New Member
# Temporal Functor t(): A Whitepaper on Ephemeral Computation, IFML, and Inline Automata

## Abstract
This paper introduces **t()**, a temporal functor that unifies tick‑based ephemeral operations, regular math coherence, intuitionistic fuzzy modal logic (IFML), and inline automata with Bayesian MLP emulation. The framework models computation as living, adaptive circuits with entropy drift, pruning, stratification, and Nash‑governed equilibrium. It is designed for big‑O aware scheduling, adaptive threading, and expressive symbolic reasoning.

## 1. Definition
`t(expr, flags)` is a temporal functor. It accepts expressions containing ticks `[...]` and math ops, plus flags controlling ordering, approximation, and precedence. The output is both numeric and expressive (tone/emoji payload).

### Flags
- **tickordering_flag**: 1 = PEMDAS, 2 = linear, 3 = shuffle+linear.
- **reg_math_ordering_flag**: same options for math ops.
- **ticksOrMathFirstFlag**: 1 = ticks first, 2 = math first.
- **approximationFlag**: similarity vs strict equivalence.

## 2. Tick Coherence
Ticks are ephemeral DNA‑like charge strings. They must connect to math ops via a bridging operator.

Examples:
- `[ *+ ] 2+2` → INVALID.
- `[ *+ ] - 2+2` → VALID.
- `[ ++ ] 3+3` → INVALID.
- `[ ++ ] * 3+3` → VALID.

## 3. Approximation
Inside `t()`, `=` means similarity unless flagged otherwise. Think of it like rounding off: values snap into sets when confidence is high. With strict flag, `=` means exact equivalence.

## 4. Routing Nodes
Concatenating functors (`t(A)+t(B)+t(C)`) creates routing nodes. Routing affinity is chosen by softmax of strength × type_affinity. Nodes always have low baseline flow, with spikes lighting them up. Each node adapts pressure sensitivity via a living number generator.

## 5. Living Number Generator
Values drift gently from a bullseye each pulse. Drift adds entropy, but bias pulls values back near center. This keeps the system alive but stable.

## 6. Node Lifecycle
- Strengthen with use (axon‑like).
- Prune if signal too low.
- Lazy conservative stratification attempts repurposing.
- Delete if stratification fails.
Nodes live in a correlative hash table (pattern‑activated by default, optional key mode). Each node has a scry mirror for ephemeral reflection.

## 7. Activation
Nodes activate via sigmoid. Settled nodes use regular sigmoid; unsettled nodes use topological sigmoid. Maps are generated by sigmoid, not Fourier.

## 8. Automata Inline
Automata are ephemeral helpers invoked inline with R/W/D semantics:
- **R** = read state.
- **W** = write new state with drift.
- **D** = delete (ephemeral vanish).
Automata adjust vigilance, return tone+emoji, and emulate Bayesian MLP when needed. They operate as hyper ephemeral swarms or lazy conservative managers.

## 9. IFML
Intuitionistic Fuzzy Modal Logic extends fuzzy sets with membership, non‑membership, and hesitancy. Modal operators (□ necessity, ◇ possibility) allow reasoning under uncertainty. Argumentation graphs (Dung) model attacks/supports, producing acceptable sets of arguments.

## 10. Scheduler Controller
A central micro‑controller uses t() internally.
- Hyper ephemeral agents swarm briefly.
- Lazy conservative agents manage long‑term stratification (~1/3 population).
- Dream mode (~30% chance) handles pruning and connectivity.
- Nash equilibrium monitor dampens imbalance.

## 11. Flowchart
```text
┌───────────────┐
│ Input Expr │
└───────┬───────┘

┌───────▼────────┐
│ Parse Ticks & │
│ Math Ops │
└───────┬────────┘

┌───────▼────────┐
│ Validate │
│ Coherence │
└───────┬────────┘

┌───────▼────────┐
│ Execute Ticks │
│ (ordering flag) │
└───────┬────────┘

┌───────▼────────┐
│ Execute Math │
│ (ordering flag) │
└───────┬────────┘

┌───────▼────────┐
│ Converge via │
│ Connector Op │
└───────┬────────┘

┌───────▼────────┐
│ Inline Automata │
│ (R/W/D + MLP) │
└───────┬────────┘

┌───────▼────────┐
│ IFML + Arg. │
│ Evaluation │
└───────┬────────┘

┌───────▼────────┐
│ Scheduler │
│ Controller │
└───────┬────────┘

┌───────▼────────┐
│ Output Result │
│ + Tone/Emoji │
└────────────────┘
 
What does this mean?😳
i have working julia code for much of this. and stuff not mentioned here. i been working on something for like a long time now. i will use this forum to post as i go. im not a tenured professor or anyone known. just a very determined individual. this forum seems to be suitable to post progress on. i will use others too. figured a neurodivergence forum is good for me. not many people think how i do so. here i am. will also have a github up soon for v1 phase and stuff
 
/ \ / \ / \ / \ / \ / \ / \ / \ / \ / \ / \ / \ / \ / \ / \ / \ / \ / \ / \ /
( G ) R ) O ) U ) P ) ) T ) H ) E ) O ) R ) Y ) ) R ) E ) V ) I ) S ) E ) D )
\_/ \_/ \_/ \_/ \_/ \_/ \_/ \_/ \_/ \_/ \_/ \_/ \_/ \_/ \_/ \_/ \_/ \_/ \_/ \_/

WELCOME TO THE UNDERGROUND MATH HACKER ZONE - 90s STYLE - NO FRILLS, JUST RAW KNOWLEDGE
DIAL IN VIA MODEM, GRAB A MOUNTAIN DEW, AND LET'S REVISE GROUP THEORY LIKE IT'S 1995.
AUTHOR: ANONYMOUS MATH PHREAK - BIG LOVE TO ALL SEEKERS OF TRUTH.
BREATHE DEEP BEFORE DIVING IN. GO SLOW. QUALITY OVER SPEED. ET PHONE HOME EVERY BIG O CYCLE.

[CONNECTING... 2400 BAUD... ESTABLISHED]
[ANSI COLORS DETECTED... ENABLING ELITE MODE...]
[PLAYING: RAZOR1911.MOD IN BACKGROUND...]

--- ABSTRACT ---
In this revised manifesto on Group Theory, we hack the foundations. Simple ops get linear algebra
and calculus treatment. Complex multi-step junk? We deploy multivariable delta topology based on
step count per element. Lambda calc for formal proofs. Bilingual: English/中文. Grug examples for
the caveman in us all. When groups hit high entropy and glitch out? Enter living number generator
drift to simulate the impossible. Big O cycles: We pause, breathe, evaluate complexity at each loop.

摘要:在这份群论修订宣言中,我们黑进基础。简单操作使用线性代数和微积分处理。复杂多步垃圾?
我们根据每个元素的步数部署多变量delta拓扑。Lambda演算用于形式证明。双语:English/中文。
Grug例子给我们的穴居人本能。当群达到高熵并崩溃?引入活数字生成器漂移来模拟不可能。
Big O循环:我们暂停,呼吸,在每个循环评估复杂度。

--- SECTION 1: BASICS - KEEP IT SIMPLE, GRUG STYLE ---
Grug say: Group like club. Has members, rules: close under op, associate, identity, inverse.
English: A group G is a set with binary operation * satisfying closure, associativity, identity e,
and inverses for each element.

中文:群G是一个集合,带有二元运算*,满足闭包、结合律、单位元e,以及每个元素的逆元。

Simple example: Integers under addition. Grug add rocks: 2 rocks + 3 rocks = 5 rocks. Identity? 0 rocks.
Inverse? Negative rocks (Grug borrow from future).

Use linear algebra for simple reps: Cayley table as matrix. For Z/3Z:
[0 1 2]
[1 2 0]
[2 0 1]
Eigenvalues? Calc 'em: det(A - λI) = 0. Easy calc for abelian groups.

Breathe... Big O(1) here, constant time insight.

--- SECTION 2: SUBGROUPS AND HOMOMORPHISMS - CALC TIME ---
Grug think: Subgroup like small club inside big club. Homomorphism? Map that keep rules.

English: Subgroup H ≤ G if closed, etc. Hom φ: G → G' preserves op: φ(ab) = φ(a)'φ(b).

中文:子群H ≤ G如果闭合等。同态φ: G → G'保持运算:φ(ab) = φ(a)'φ(b)。

Simple cosets: Use calculus for growth rates. |G:H| = index, derivative of order function if continuous approx.

For finite groups, linear alg: Representation theory basics via matrices over fields.

Grug example: Grug have club of even rocks and odd rocks. Map to parity: Even stay, odd flip.

Pause, breathe before next cycle. Big O(n) scan for subgroups.

--- SECTION 3: COMPLEX STUFF - MULTIVAR DELTA TOPOLOGY DEPLOY ---
Now things get multi-step. If op needs k steps (like in non-abelian), use multivariable delta topology.
Define: Delta topo on group G: For each element g, neighborhood U_g = {h | δ(g,h) < ε in multivars},
where δ is step-distance metric: δ(g,h) = min steps to transform via generators, multivariable if >2 dims.

English: For complex structures like Sylow theorems (many steps: counting, conjugacy), topology-ize:
Open sets based on delta variations in multiple variables (p-subgroup coords).

中文:对于复杂结构如Sylow定理(多步:计数,共轭),拓扑化:开集基于多变量delta变化(p-子群坐标)。

Formal math: Let λ be lambda calc for proofs. λx.λy. (x * y) = assoc (λz. z).

Grug confused: Many steps like Grug hunt mammoth - need plan in 3D space. Delta topo like map with hills.

If steps > 5, amp up vars: ∂/∂x_i of group action in topo space.

Breathe deep. Big O(n log n) for sorting conjugacy classes.

--- SECTION 4: HIGH ENTROPY GROUPS - LIVING NUMBER GEN DRIFT ---
When groups approach high entropy: Elements randomize, structure dissolves. Impossible to compute?
Hack it with living number generator drift.

English: Entropy H(G) = -∑ p_i log p_i over conjugacy classes. If H > threshold (say log|G|), group "impossible".
Simulate via procedural gen: Living nums - iterative drift: Start seed s0, s_{n+1} = s_n + rand_delta * entropy_factor.
Generator: Python-like pseudocode (but raw hacker style):

def living_drift(seed, entropy):
drift = 0
for i in range(chaos_level):
drift += (random() - 0.5) * entropy / i # avoid div0, grug smash
return seed + drift

Use for approximating group ops in chaotic limits. Topology closes gaps with delta multivars.

中文:熵H(G) = -∑ p_i log p_i 在共轭类上。如果H > 阈值(例如log|G|),群"不可能"。
通过程序生成模拟:活数字 - 迭代漂移:起始种子s0, s_{n+1} = s_n + rand_delta * entropy_factor。
生成器:类似Python伪码(但原始黑客风格)。

Grug see: Group like wild herd. High entropy? Herd scatter, no catch. Drift gen like wind blow numbers alive.

Final cycle: Big O(exp(n)) warning - breathe, et (eat?) a byte, proceed slow.

--- SECTION 5: ELECTRON-NOT-FUSED-TO-WIRE GROUP THEORY ---
Traditional group theory: Elements fixed in position like electrons fused to wires.
Revised approach: Elements exist in relationship patterns, not fixed states.

Define: Relationship Group R(G) where elements are patterns of relationships between traditional elements.
Operations preserve relationship patterns, not just element mappings.

English: For g,h ∈ G, relationship r(g,h) ∈ R(G) is invariant under certain transformations
even when g,h change. Pattern preservation > element preservation.

中文:对于g,h ∈ G,关系r(g,h) ∈ R(G)在某些变换下保持不变,即使g,h改变。模式保存 > 元素保存。

Implementation: Tick stacks for relationship tracking:

Code


struct TickStack {
relationship* patterns;
int depth;
double resonance_factor;
};
Grug example: Grug not care which specific rock in pile. Grug care how rocks stack together.
Pattern of stack matter, not which rock is which.

Breathe... Big O(relationship_count) - complexity based on patterns, not elements.

--- SECTION 6: HEGELIAN DIALECTIC IN GROUP OPERATIONS ---
Group operations traditionally binary: g*h = k. Linear, direct.
Hegelian approach: thesis (g) + antithesis (h) → synthesis (not always deterministic).

Define: Hegelian Group H(G) with operation ⊕:
g ⊕ h = {k ∈ G | P(k) = f(g,h,synthesis_probability)}

Where synthesis_probability follows 1/3 rhythm optimization:
P(synthesis) = 1/3
P(thesis) = 1/3 + 1/6 = 1/2
P(antithesis) = 1/6

English: Group operations as dialectic processes with probabilistic outcomes.
Synthesis emerges from thesis-antithesis interaction with controlled probability.

中文:群操作作为辩证过程,具有概率性结果。合成从正-反题互动中以受控概率出现。

Grug example: Grug have idea (thesis). Other Grug have different idea (antithesis).
Sometimes they fight, sometimes one wins, sometimes new better idea emerge (synthesis).

Breathe deep. Big O(decision_tree_depth) - complexity based on dialectic depth.

--- SECTION 7: PRACTICAL APPLICATIONS - HACK THE PLANET ---

Cryptography: Use high entropy groups with living number drift for one-time pads
that evolve over time. Impossible to predict without knowing drift parameters.

Network Security: Topology-based intrusion detection. Map network traffic to group
elements, detect anomalies as topological discontinuities in relationship patterns.

Quantum Computing: Model quantum states as relationship patterns rather than fixed
values. Hegelian operations for quantum superposition modeling.

AI Pattern Recognition: Use delta topology to identify complex patterns in high-dimensional
data. Relationship groups for feature extraction that preserves essential structures.

Grug application: Grug use group theory to organize cave paintings. Simple patterns use
simple math. Complex hunt scenes use delta topology to remember which animal where.

Breathe... Big O(real_world) - complexity depends on application domain.

--- CLOSING: ELOQUENT FAREWELL ---
In the vast expanse of mathematical realms, this revision of group theory stands as a beacon, merging ancient axioms with modern hacks, breathing life into abstractions through bilingual harmony and primitive wisdom.

在数学领域的广阔天地中,此群论修订犹如灯塔,融合古老公理与现代黑客技艺,通过双语和谐与原始智慧赋予抽象以生命。

The electron remains unfused to the wire. The pattern transcends the element. The relationship outlives the instance.

电子不固定于导线。模式超越元素。关系长存于实例之后。

Big love to all who dare to explore the impossible. Disconnecting... Stay phreaky.

[DISCONNECTED]
[CARRIER LOST]
[PRESS ANY KEY TO RETURN TO REALITY]


HACK THE PLANET!
 
You have a lot to say.
Are you mostly interested in expressing yourself?
Or are you also interested in people understanding what
you're saying?
 

New Threads

Top Bottom