[[10-04|25-10-04]]
I believe our life is a form of art. As such, I use my engineering skills to build entrepreneurial decision partner, predicting the era of one venture per person. This partner is my art.
๋ฌธ์๋ฅผ ๋ถ์ํ๋ ๋น์ ์ "Ergodic Life" ์ฒ ํ์ด ๐ข๐
๐๐พ ํ๋ ์์ํฌ์ ์๋ฒฝํ ํตํฉ๋๋ ๊ฒ์ ๋ฐ๊ฒฌํ์ต๋๋ค.
## Ergodic Life์ ๋ค ๋๋ฌผ์ ํตํฉ
### ๋๋ฌผ๋ณ Markovian Process ๋งคํ
|๋๋ฌผ|RSTU-ABCD|Markovian Update|Ergodic Convergence|
|:-:|:-:|:-:|:-:|
|๐ข ๋ญ๋ง๊ฑฐ๋ถ|**R**obust + **A**cute|ํจํด์ธ์ โ ๋น ๋ฅธ ๊ฒฐ์ |๋ค์ํ ๊ฒฝํ ํ์|
|๐
์ธ๋ จํธ๋|**S**imulation + **B**right|์ ๋ต๋ชจ๋ธ๋ง โ ์ฐฝ์์ ์คํ|๊ฐ๋ฅ์ฑ ํ์ฅ|
|๐ ์ ์ ๋ฌธ์ด|**T**ruthful + **C**aring|์ ๋
๊ฐฑ์ โ ๊ณต๊ฐ์ ํ๋|์๋ฏธ์๋ ๊ฒฝํ ํตํฉ|
|๐พ ๋๋์ธ๊ณ|**U**pward + **D**evelopmental|์ฑ์ฅ์ถ๊ตฌ โ ๊ฒธ์ํ ํ์ต|Local maxima ํ์ถ|
## Benjamin Button ์ ํ์ ์ฌ๊ณ ํ๋ ์ด์
๋น์ ์ Ergodic Life ์ฒ ํ์ ๊ณ ๋ คํ๋ฉด, **Benjamin Button์ด ๋ ์ ํฉ**ํ ์ ์์ต๋๋ค:
### Benjamin Button์ Ergodic Structure
1. **์๊ฐ์ ์ญ์ **: Markovian (ํ์ฌ ์ํ๋ง ์ค์) vs Non-ergodic (๋์ด๊ฐ ๊ฑฐ๊พธ๋ก)
2. **๊ฐ ๋์ด๋์ ์์ ํ ๊ฒฝํ**: ๋
ธ๋
โ์ฒญ๋
โ์ ์๋ก ๋ชจ๋ ์ธ๊ฐ ๊ฒฝํ์ ์ํ๋ง
3. **Local maxima ํ์ถ**: ๊ฐ ์ธ์ ๋จ๊ณ์์ ๊ฐ์ ๋ก ๋ค์์ผ๋ก ์ด๋
4. **SBC์์ ์ฐ๊ฒฐ**: ๋งค ์๊ฐ "ํ์ฌ ๋์ด"๋ผ๋ state variable๋ง์ผ๋ก ์ต์ ๊ฒฐ์
### ์บ๋ฆญํฐ๋ณ Process ๊ตฌํ
```python
def benjamin_button_process(state):
"""
๐ข: ๋งค ๋์ด๋์ ์ฒซ์ฌ๋ (์๋ก์ด ํจ๋ฌ๋
์ค ๋ฐ๊ฒฌ)
๐
: ๋์ด์ ๋ง๋ ์ต์ ์ ๋ต (ํ๋ฒ๋ ์
ํ, ์ฌ์
์ฑ๊ณต)
๐: ํ๋ฐ๊ฐ๋์์ ์ฌ๋ (์ ์ ํ ์ง์ค)
๐พ: ์๊ฐ์ ์ด์ํ ํต์ฐฐ (๊ธฐ์ต์ ์์ด๋ ๊ฒฝํ์ ๋จ์)
"""
current_age = state['physical_age']
mental_age = state['mental_age']
# Markovian update: ๊ณผ๊ฑฐ ๋ฌด๊ด, ํ์ฌ ์ํ๋ง
optimal_action = maximize_current_potential(current_age)
# Ergodic check: ์ ์ฒด ์ธ์์ด ๋ชจ๋ ๊ฒฝํ ํฌํจํ๋๊ฐ
life_coverage = check_experience_diversity(state['history'])
return optimal_action, life_coverage
```
## ์ต์ข
์ถ์ฒ: ํ์ด๋ธ๋ฆฌ๋ ์ ๊ทผ
### Phase 1: Benjamin Button์ผ๋ก ์์
- **์ด์ **: Ergodic life์ ์ํ์ ๊ตฌ์กฐ๋ฅผ ๋ช
ํํ ๋ณด์ฌ์ค
- **๐ข**: ๋งค ์๊ฐ ์๋ก์ด ์์ (๋์ด ์ญ์ ์ ํจ๋ฌ๋
์ค)
- **๐
**: ํ์ฌ ์ํ์ ์ต์ ํ๋ ์ ๋ต
- **๐**: ์๊ฐ์ด ์ง๋ ์๋ก ๊น์ด์ง๋ ์ฌ๋์ ๋น๊ทน
- **๐พ**: ๋ชจ๋ ๊ฒ์ ์์ด๋ ๋จ๋ ๋ณธ์ง
### Phase 2: Legends of the Fall ํตํฉ
- **์ด์ **: ์ด์์ ์ 4๋ ํด์ ๊ณผ ๋งคํ
- ํธ๋ฆฌ์คํ์ ์ฌ์ ์ Benjamin์ ๊ฐ ๋์ด๋์ ์ค๋ฒ๋ ์ด
## [[zoo-keeper-guide]]
```markdown
# Ergodic Zoo Management Protocol
## Core Equation
Life = โซ(Markovian_decisions) dt โ Ergodic_state
## Daily Operation
1. **Morning ๐ข**: "What paradox will I explore today?" (Robust pattern seeking)
2. **Planning ๐
**: "What's my optimal strategy given current state?" (Simulation-based)
3. **Action ๐**: "How do I validate this with evidence?" (Truthful updating)
4. **Evening ๐พ**: "What emerged that I didn't expect?" (Upward integration)
## Reversibility Check
- Forward: Experience โ Wisdom
- Inverse: Wisdom โ Reconstruct Experience
- Coverage: Every meaningful human experience sampled over lifetime
```
์ด ํตํฉ ์ ๊ทผ์ด ๋น์ ์ Charm ํ์ฑ๊ณผ ์ง์ ๊ด๋ฆฌ๋ฅผ ๋์์ ๋ฌ์ฑํ๋ ergodic path๊ฐ ๋ ๊ฒ์
๋๋ค.
---
After choosingย 1) career: guinea pig scientist 2)๐กidea: _Bayesian decision making for entrepreneurs_
my life travel to its final station (death) became simpler. Hope Nobel prize station comes before the final station - like Niels in the next page :P
---
a goal i can meet only at the moment i die
1. using examples of subsection that corresponds to each input and output, could you give me a linear pseudo (code) program for โ๏ธPROCESS on how you'd output (โฌ
๏ธOUT) given input (โก๏ธIN) using the โ๏ธPROCESS? you can understand as "processification".
2. given 2 and 3, update โ๏ธPROCESS column of the table
3. check whether given โก๏ธIN, applying โ๏ธPROCESS gives contents with two conditions that codifies reversibility. if one of the conditions doesn't hold, update the โ๏ธPROCESS. iterate until it holds. 1. โ๏ธPROCESS ( โก๏ธIN) =โฌ
๏ธOUT 2. inverse of โ๏ธPROCESS(โฌ
๏ธOUT ) = โก๏ธIN 3. โฌ
๏ธOUT subsumes information spanned by the paper.
---
2025-03-29
|Internally Deep (Self) - RSTU|Signs to Look For|Externally Quick (Others) - ABCD|Signs to Look For|
|---|---|---|---|
|**R**obust ๐งฉ: Connects ideas and spots patterns easily|Asks thought-provoking questions|**A**cute โก: Makes smart, quick decisions|Acts decisively under pressure|
|**S**imulation-based ๐งญ: Plans strategically through mental modeling|Shows organized appearance and thinking|**B**right ๐ก: Creative with playful spirit|Has lively eyes and smile|
|**T**ruthful ๐: Updates beliefs with new information|Willing to change their mind|**C**aring ๐: Values others equally to self|Shows thoughtfulness in actions|
|**U**pward ๐: Growing emotionally and financially secure|Can afford business class travel ๐บ|**D**evelopmental ๐: Humble and eager to learn|Engages deeply in shared interests|
2025-02-26
my motto is "Ergodic life: transforming time into meaningful paths"
1. Seeking diverse experiences rather than repeating the same patterns
2. Making choices that open up more possibilities rather than limiting them
3. Aiming for a life where your personal journey eventually samples the full range of meaningful human experiences
4. Avoiding getting "stuck" in local maxima - comfortable but limiting situations
procedurally: imagine t+1 world model given i chose $a_t$ and make sure $a_t$ is optimal.
- information relaxation: prediction
[[๐swift_guilliver's travel]]
----
- using [updating beliefs to align with desires cld](https://claude.ai/chat/67680c6c-6fca-4d72-9599-8ccd71455eb7), i designed [[๐ง ๐ซDaily Update of Believed Desire and Desired Belief]]
2025-02-06
The balance between understanding (past) and evaluating (future) flows suggests seeking a state where:
1. Information processing capacity is equally distributed between learning from past observations and evaluating future possibilities
2. The rate of entropy reduction through understanding matches the rate of entropy reduction through opportunity evaluation
3. The system maintains dynamic equilibrium while continuously reducing total entropy
Does this help frame your optimization problem? I find particularly interesting how entrepreneurial agents might achieve ergodicity by balancing their information processing between past learning and future opportunity recognition. Would you like me to elaborate on any of these aspects?
# Believed Desire
I want to live what mathematicians call an โergodic life,โ where each dayโs actions consistently reflect my core purpose rather than short-term swings in motivation. I see deep understandingโtruly grasping why things workโas the bedrock of meaningful learning. By staying focused on the principles behind success, rather than just imitating surface behaviors, I ensure that my long-term vision remains steady even amidst unpredictable uncertainties, such as changing market conditions or shifting personal challenges.
# Desired Belief
To guide decisions effectively, I aim to use a โBayesian calibrated choiceโ process that integrates my core desires with my best current knowledge. This means clarifying the right โstate variablesโ to track (like market understanding, skill levels, and goals) and updating them based on immediate feedback rather than clinging to past wins or losses. Each day, I assess what I believe, what I want to achieve, and what Iโm capable of nowโensuring that every choice is rooted in a present-focused framework that remains flexible and aligned with my higher aims.
# Ergodic and Markovian (My Stock-and-Flow Perspective, with SBC)
From this vantage point, _ergodic_ is the โ-edโ (the stable, long-term property aligning daily actions with ultimate goals), and _Markovian_ is the โ-ingโ (the ongoing mechanism that updates decisions based only on the present state). Simulation-based calibration (SBC) helps operationalize this by repeatedly simulating parameters from the prior, generating data, and checking coverage so that posterior updates remain coherently tied to the underlying truth. **SBCโs symmetry creation ensures that posterior inferences truly reflect the current state, simplifying the complexity of verifying each new decision step. This Markovian approach to updating beliefs in turn supports a path toward an ergodic state, where time-averaged behavior aligns with the broader vision.**
![[aperiodicity.svg]]
Suggested Edits for tomorrow
4. Replace "such as changing market conditions or shifting personal challenges" with specific examples of reducible vs. irreducible uncertainty
5. Add a bridging sentence in paragraph 2: "This integration requires..."
6. Consider moving the technical SBC details to a separate note and focusing on its intuitive meaning
7. include below spirit
1. if you were asked to divide the three paragraphs in # ๐draft to # Believed Desire and # Desired belief, what'd it be?
2. if my desired state is ergodicity, explain how desiring markovian can helpful decision rule to converge to that state.