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THE CONSCIOUSNESS ATLAS
Read. Experiment. Follow the evidence.

ConsciousnessLearn · Explore · Joseph Anady

The algorithm

This relation defines score(i) in the source section “The algorithm”. Evaluates oscillatory sine or cosine terms using the stated phase or frequency. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided…

Implementation mathematicsSource recovered; runtime not executed
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Start with the symbols, follow the operations, and check what the result means.

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gh-eq-bfd413ca508357efdocumented-equation
score(i)=w1⋅Thompson(Beta(α,β)pertopic)←exploration,coldstart+w2⋅cos(interest,item)←semanticmatch+w3⋅freshness(i)−w4⋅fatigue(i)←recency,anti−repetitionscore(i) = w₁·Thompson(Beta(α,β) per topic) ← exploration, cold start + w₂·cos(interest, item) ← semantic match + w₃·freshness(i) − w₄·fatigue(i) ← recency, anti-repetition

Read the equation

This relation defines score(i) in the source section “The algorithm”. Evaluates oscillatory sine or cosine terms using the stated phase or frequency. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided physical or cognitive meaning to them.

Terms & definitions

The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.

How it works

  1. Read score(i) as the quantity being defined or updated by this relation.

  2. Evaluates oscillatory sine or cosine terms using the stated phase or frequency.

  3. Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.

Assumptions & limits

  • This source expression was recovered from the pinned code revision. Its presence does not establish that the associated program was built, run, or scientifically validated.

Original context

Read the surrounding source passage
| contact | 1.20 | reaching the contact surface |
| **skip** | **−0.60** | scrolling past faster than reading allows |

```
score(i) = w₁·Thompson(Beta(α,β) per topic)   ← exploration, cold start
         + w₂·cos(interest, item)              ← semantic match
         + w₃·freshness(i) − w₄·fatigue(i)     ← recency, anti-repetition
```

Selection is Maximal Marginal Relevance, so a confident model still cannot
collapse the feed into a single topic — the characteristic failure of a
small-corpus recommender.

Completion is measured against estimated read time rather than in raw seconds,
so a long item cannot win by being long. Dwell does not accrue while the tab is
backgrounded. Skips carry real negative weight: a model that only learns from
positive signals drifts toward whatever it happened to show first.

## Architecture

```
src/core/      pure functions — no clock, no I/O, no DOM, no global random
src/ports/     contracts only; imports nothing
src/adapters/  the impure edge: fetch, storage, DOM observation
src/ui/        rendering; no business logic
src/app/       composition root — the only place wiring happens
```
Exact original notation
score(i) = w₁·Thompson(Beta(α,β) per topic)   ← exploration, cold start
         + w₂·cos(interest, item)              ← semantic match
         + w₃·freshness(i) − w₄·fatigue(i)     ← recency, anti-repetition

Related builds

Sources & provenance

01
Janady13/feedthejoe / README.md
Lines 44–46 · 0e608a2b515a

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