PERCEPTIONLAB / RESEARCH ARCHAEOLOGY

Genealogy

Hundreds of repositories are not hundreds of independent ideas. This atlas tracks the smaller set of mechanisms that were inherited, rediscovered, corrected, killed, or extracted into something useful—and separates documentary lineage confidence, empirical evidence, and the scientific questions that remain unresolved.

—repos in census
—reviewed nodes
—lineage edges
—explicit corrections
—survivor motifs
—archaeology passes
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RECENT FIELD NOTES · THREE WORLDS · NOVEMBER 4 · NEURONBEACH · NOVEMBER 4 · BRAHSOL & BRAHCLAUDE · NOVEMBER 3 · ULAMINTERLACE · NOVEMBER 3 · THE BEACH THAT REMEMBERED · NOVEMBER 2 · NOPEE & NOPEECLAUDE · NOVEMBER 1 · SEVEN ARRIVALS · OCT 31–NOV 1 · SWEEPATLAS & TRANSFORMERX · OCTOBER 30 · ROUNDANDROUND & LOOP MEMORY · OCTOBER 29 · EMERGENCE FAMILY & LOOPCRAFT · OCTOBER 28 · EVENING · OCTOBER 28 · LIFTED WAVE OBSERVERS · OCTOBER 27 · OPENAI WAVE & WALL MEMORY · OCTOBER 27 · KAHUNA & NEW WORLDS · OCTOBER 26 · COMB FAMILY · OCTOBER 26 · ODDONE & LEARNING · OCTOBER 25–26 · MEMORY & CONTROLS · OCTOBER 21 · BRAINBOX · OCTOBER 20 · MAD MONDAY · OCTOBER 19
Earlier research trails

BrainAsInverseModelerV2 · BrainAsInverseModelerV3 · Breathing-Qwen · Breathing-QwenClaude · Luotain · SolSwarm · BiomorphicSwarm · GeometricNeuronAndSapolskysFractal · DevelopmentalSpectralNeuron · Smartfly · Smarfly2 · FlyBench

NOVEMBER 4, 2026 · THREE ENVIRONMENTS, THREE DIFFERENT QUESTIONS

The indexed wave, the growing graph, and the living 3D sheet

Three new laboratories now appear in Genealogy: SelfIndexingBeach asks which parts of a writable medium can predict its next echo; EmergenceNoSpace lets relationships grow without physical coordinates; and Emergence3D evolves token-genome cells in a supplied 3D light-and-nutrient ecology. These are distinct experiments, not one demonstrated world-model AI.

Source-linked review and controls ↗
01 / SELFINDEXINGBEACH · WHAT CAN A WEAK READ PREDICT?

The material changes the answer, but the predictor is outside

A 36-link wave ring stores storm history in conductance-changing sand. Four weak queries produce a 192-number echo fingerprint. In one synthetic split, predicting the post-write echo change gives relative MSE 0.000476 with current read plus known A/B event versus 0.20497 event-only. Local material sensitivity rises from 17 to 29 thresholded directions when the probe set expands; this is not Hankel rank or proof of self-indexing.

02 / EMERGENCENOSPACE · GRAPH RELATIONS, NO XYZ IN PHYSICS

Growth without a lattice; three-dimensionality still unproven

Mass-conserving resource flow, local rewiring, edge-memory and heritable budding produce changing graph structures. In three exploratory seeds, initial 120-node worlds remain 120 nodes (fixed or rewired) or grow to 152 with budding. The graph gains edges and pump imbalance falls; fixed random and degree-shuffled graphs can also produce apparent near-3 scaling. Finite-size nulls block a premature claim that space emerged.

03 / EMERGENCE3D · SPACE SUPPLIED, ORGANISMS EVOLVE

Light descends, nutrient rises, life gathers between them

The original Emergence genome/STATE-token interpreter now drives cells on a supplied 3D voxel lattice, with shading, photosynthesis and nutrient uptake. In one 24×64×64 CPU run, life forms an intermediate layer at roughly 70–78% relative height, and taller attached bodies become more common. Compensation depth is expected from the programmed resource gradients; functional roots, canopies and regulation benefits await ablations.

Genealogy itself: the November 3–4 atlas edits are maintenance of the research map, not a fourth new scientific project. Evidence boundary: all numerical observations are source-reported synthetic experiments, not independently replicated by Genealogy; neither spontaneous 3D geometry nor intelligent predictive communication is established. Curated pass ↗ · Full evidence review ↗.

NOVEMBER 4, 2026 · FROM A SELF-WRITING BEACH TO A NEURON COAST

NeuronBeach — the soma pool and the AIS wave machine

A visual, interactive neuron: dendritic swells filter through marshes into the soma pool; the axon initial segment triggers a regenerative spike that travels down the axon and can send a back-propagating signal toward the dendrites. Temporary footprints, synaptic sandbars and an optional neuromodulatory tide illustrate how a later wave can encounter a changed pathway.

Read the source-linked review ↗
01 / SINGLE BEACH · DENDRITE → SOMA → AIS → AXON

Watch a threshold-triggered two-way signal

Three simultaneous swells cross the soma's threshold where one or two do not. Marshes attenuate rapid ripples. Pairing far-shore tuft stimulation with the back-propagating event produces a 5–6 spike burst in the engineered overlap window. Reward/tide can delay stabilization of a synaptic footprint.

02 / SIX BEACHES · THE LEARNED ORDER

The connections change; the coast replays a learned sequence

After 15 supervised timing lessons, held-out six-neuron seeds replay all six firings in order in 30/30 tests; shuffled, untrained, frozen-sand and never-rewarded controls score 0/30. Removing feedback inhibition drops full replay to 14/30. At eight beaches on the same sand budget, replay drops to 7/30.

03 / THE IMPORTANT BOUNDARY · THE SAND IS A NUMBER

Working metaphor, not a new biophysical mechanism

The water passes through simulated channels, but the sandbar is an explicit numerical synaptic weight, not wave-driven erosion. AIS spike generation and plasticity are programmed. Even a weak ping can update a temporary eligibility trace without changing the persistent weight. Next: try competing learned sequences with separate apical-tuft context as the selector.

Evidence boundary: numerical scores are from the committed NeuronBeach results, not independent Genealogy reruns. There is no quantitative biological ion-channel model, autonomous sediment-scour learning, or demonstrated context-addressed memory. The interactive pages are an explanatory instrument.

NOVEMBER 3, 2026 · THE PATH THAT ANSWERS BACK

BrahSol & BrahClaude — write, wait, ping, learn

Two independent neural-route laboratories emerge from the old PerceptionLab homeostatic checkerboard: the controller's next action changes the observed system. One branch learns input-output relationships in a changing recurrent medium; the other puts multiscale pulse history on individual routes. The shared question is whether an observer can learn when, where, and whether to interrogate a memory-bearing pathway.

Read the evidence-bound review ↗
01 / BRAHSOL · LEARNING A CHANGING RESPONSE

Which ping is useful when the hidden connections change?

In an engineered 24-unit recurrent medium, active probing beats random at 100 pings (RMSE 0.02571 vs 0.03146), but nearly ties with abundant training. After synthetic input rerouting, forgetting helps more than active selection: late recovery 0.0483 active + forgetting vs 0.0561 random + forgetting over 12 seeds. Removing Hebbian plasticity barely changes the pattern.

02 / BRAHCLAUDE · WHAT THE ROUTES REMEMBER

Eight timescales, one stereotyped pulse, different histories

Octave traces on each route make a neutral ping read 99.6% of an engineered eight-item silent-memory task. Four differently tuned terminals classify pulse amount + age at 85% vs 41% for homogeneous terminals. Sihti is an invertible reparameterization of the traces, not new information. Two preregistered gates fail their thresholds; write-for-later is a matched-filter solution.

03 / THE MISSING JOINT EXPERIMENT

Reading needs an address—and may disturb what it reads

BrahClaude's eight-route decoder gets eight separately observable outputs. Under its symmetric two-written-route setup, one summed readout would give the same total for every memory pair: identity disappears despite stored state. The joint test needs selective pings, learned outgoing-history tracking and destructive-read controls at equal stimulation budget, with a real incentive to wait instead of pinging.

Evidence boundary: all metrics are source-reported numerical models. The routes are not measured biological synapses; BrahSol's recent synthetic reconfiguration is imposed, and BrahClaude's Sihti band stack adds no independent state beyond its exponential traces. The two experiments remain separate; a self-teaching, memory-preserving neural interrogator has not been shown.

NOVEMBER 3, 2026 · PRIME SPIRALS / SAMPLING GEOMETRY

UlamInterlace — when the observer makes the boxes

Several zoomed copies of an Ulam prime spiral reveal arithmetic lines and scale-dependent interference. The surprise is a result about the observation operator: tiny rescaling differences, integer rounding and XOR create boxes even if the primes are replaced by arbitrary binary pixels.

Read the source-linked review ↗
01 / THE VISIBLE TOOL

Interlaced prime doodles at six scales

A single-file local HTML instrument combines Ulam spirals by Rows, Columns, Checker, Square or Round rings, plus Overlay, XOR and Coincide. Prime-rich quadratic diagonals and rational-scale modular alignments coexist with sampling and density-shading artefacts; the moving recording helps distinguish them.

02 / EXACT XOR BOX GENEALOGY

One square → nine rectangles → 49 rectangles

At base 1 px/cell and ratio 101/100, the 101×101 central region contains exactly 1, 9, 49 universally white rectangles at 2, 4, 6 layers. Pairwise equal samples cancel under XOR: A⊕A⊕B⊕B=0. The exact coordinate-threshold checker reproduces the partitions without a prime sieve.

03 / A POSSIBLE PRACTICAL TRANSFER

Scale-disagreement maps for image alignment?

Changing scale reveals sampling boundaries, but multi-layer XOR can also cancel genuine disagreement. The next test is known zoom/translation errors on synthetic and VHS frames, comparing ordinary differences, variance across scales, and established registration methods. No image-restoration improvement has been measured yet.

Evidence boundary: exact binary XOR cancellation and independently checked integer-coordinate zones are not a new prime theorem. Visual fractal/caustic analogies are unproved; at subpixel scales, shaded Coincide is not six-way Boolean primality. The SweepAtlas/VHS comparison is conceptual, not demonstrated inheritance or a benchmark win.

NOVEMBER 2, 2026 · FROM BERGLUND'S CAVITIES TO A BEACH THAT REMEMBERS

The beach that remembered — the operator changes itself

A long-running question finally becomes falsifiable: can a medium remember its own waves by changing how the next waves move? Two independent wave-material simulations say yes within deliberately limited toy physics. Both now test the distinction between material history, an observable echo, and learning; two additional attention demos expose how much still has to be programmed.

Read the full treatise ↗
01 / A→B IS NOT B→A · CONTROLLED PHYSICAL MEMORY

ComputingBeachSol: the written wall changes its next wave

In the registered 8-patch test, live material feedback lets the receiver decode order in 62/64 held-out echoes; a frozen operator gives 50%. Even after the common final event X, late K48 echoes recover 61/64. The slow state, not the still-moving wave, keeps the history.

02 / STORED IS NOT THE SAME AS READABLE

ComputingBeachClaude: rich sand, harder echoes

The 2-D floor keeps order at 0.98–1.00 when its material is inspected; physical transient pings decode it at just 0.70–0.75. Loss undermines teacher-wave gradients; an external judge plus rollback can learn, but must be charged as part of the system.

03 / THE STRANGE ROUTE, AND THE NEXT HONEST GATE

Resonator → dendrite → wall → beach → matrix

Berglund's cavity, the September dendritic/operator discussions, Kavitaatio and WallMemoryLaw, Evening and 2729 all contributed different pieces or failed controls. The next question is whether wave-mediated, physically self-modifying memories beat an ordinary matrix or RNN after measuring supervision, storage, readout and propagation costs.

Evidence boundary: results are source-reported numerical simulations, not real sand or independent Genealogy reruns. The four-beach Fourier readout and 16×16 crossbar intentionally use programmed associative/attention operations; physical fast overtopping and a fair comparison with conventional neural memory remain open.

NOVEMBER 1, 2026 · TWO INDEPENDENT VIDEO EXPERIMENTS

Nopee & NopeeClaude — when an inspired adapter meets ordinary controls

Same motivating question, different tests. Nopee trains a tiny frame predictor; NopeeClaude measures Wan sampling and caching first. Neither includes biological measurements or demonstrates a neural speedup.

Read the source-linked review ↗
1 NOV / TRAINED TOY FRAME PREDICTION

Nopee: the recurrent branch runs, but the full adapter loses

On 12 toy worlds, two-call whole-frame MSE is .03390 with adapter off vs .03765 fixed / .03887 learned. Bypassing the spatial filter improves the learned branch to .02522. Synthetic constants; one training seed.

1 NOV / WAN SAMPLING VS CACHE

NopeeClaude: caching beats the assumed short-step repair problem

At 320×576, 6/12-step Wan samples often change or lose objects. A separate three-prompt cache sweep preserves closer latents at comparable runtimes. Adapter training was paused; no adapter speed or biological gain shown.

Both sets of metrics are source-reported, not independently reproduced. The graph link means conceptual convergence, not code inheritance.

OCTOBER 31–NOVEMBER 1, 2026 · SEVEN NEW REPOS

Seven missing branches — state, walls, video, phase and vision

Seven missing repository cards have been added. SweepAtlas and TransformerX were already indexed. The new graph distinguishes direct inheritance from conceptual convergence and retains negative results.

Read the source-linked review ↗
31 OCT / LOOP → WORKSPACE → COMB

TheCombRedux: causal operator selection, no win

Its 16D state changes decisions, but intact Brier .29062 loses to cut-read .24998 and to the Bayesian reference.

31 OCT / WRITTEN WALLS

2729: phase-pair writer meets cavity reader

Selected analog wall echoes have r=.95 and spatial springs change input, but the held-out order task fails and pooled springs perform similarly.

31 OCT / VHS MOSAIC

VHSImageStitch: packaged moiré-assisted atlas

Source and Windows executable stitch video frames. M toggles the moiré view; frequency-filtered matching stays on. The result is 2-D observed-pixel stitching.

1 NOV / COORDINATED DETAIL

Sihtiimagemodel6: MSE improvement, failed edge and flicker gates

CSC improves crop MSE against Wiener and independent patches but creates faint false edges and temporal flicker. Sihti purify at dt .25 is band-stop, not simple blur.

1 NOV / PHASE AND MOVING VISUAL EVIDENCE

CortexWaveguideLens and JanusSol

Cortex's reset phase-copy ties classical motion-aligned memory. JanusSol's dictionary loses denoising; wavevector-specific phase motion wins in one small synthetic domain and loses another.

1 NOV / PREREGISTERED NEXT STEP

Sihtiimagemodel7: silence and temporal trust

Builds on frozen Model 6 CSC; compares phase to energy gates and wrong memory. No held-out results ledger was committed when reviewed.

Metrics are source-reported, not independently reproduced. No new general cognitive or biophysical world model is established.

OCTOBER 30, 2026 · TWO ARRIVALS · SPATIAL EVIDENCE / TRANSFORMER MEMORY

Observed worlds and learned history — two distinct tools for the past

SweepAtlas stitches observed webcam/video pixels into a growing, revisitable 2-D canvas. TransformerX tests whether a frozen pretrained transformer can use retained feedback state when answering its next query. They are independent projects, not one implemented spatial-language intelligence.

Read the source-linked October 30 review ↗
01 / OBSERVED FRAMES → KEYFRAMES → PIXEL TILES

SweepAtlas: video becomes a large addressable image

Live webcam or local video is matched with OpenCV ORB/RANSAC into an expanding tiled panorama. A draggable timeline can scrub and resume video; non-destructive contrast and sharpness adjust previews and exported transparent PNGs. Scrubbing does not fill skipped tiles, and this is not optimized 3-D SLAM or a learned world model.

02 / FEEDBACK HISTORY → TRAINED STATE → DIFFERENT NEXT ANSWER

TransformerX: access to remembered state matters; router complexity did not win

Nine pretrained DistilGPT-2 experiments across three seeds score 92.27% interaction, 92.22% additive, 92.23% concat on a synthetic silent-rule task, versus 80.46% same-stream no-history marginal. Cutting state read lowers accuracy by 9.81–12.96 points; restoring it restores predictions. Concat has lower NLL and fewer parameters. Dictionary/vision tasks stay near chance; no general chatbot result is claimed.

Evidence boundary: SweepAtlas has no depth/global SLAM or scene imagination; TransformerX's causal state-read effect does not establish an interaction-router advantage, lifelong memory, or ordinary recurrent-baseline superiority. Source results reviewed, not retrained here.

OCTOBER 29, 2026 · SEVEN ARRIVALS · LOOPS / MEMORY / RE-ENTRY

RoundAndRound — can the past loop return?

A fast loop holds current activity; Sihti residues describe what fades, and a trained slow memory can restore a state after the fast loop is wiped. The companion oscillator/field projects ask whether earlier encounters change a later receiver without presuming a biological spike.

Read the source-linked seven-repo review ↗
01 / WRITE → RINGDOWN RESIDUES → ERASE → REAWAKEN

The trace survives total fast-state erasure

RoundAndRound trains a cue-to-residue map, erases every active fast component and restores a state that resumes autonomous motion. Locally measured RMSE 0.22174 versus 3.67203 with a wrong cue. Direct-state ridge ties exactly; no residue advantage is claimed by this first mechanism gate.

02 / RETAINED RESPONSE IS NOT AUTOMATIC SPIKE RELAY

A receiver can change without a regenerative spike

Claude and Sol separate phase-coded beating, threshold slips and short-range response; Complexity isolates altered internal state in seeded droplets. ThursdaySol's large deterministic ECG-history graft effect fails the eight-seed noise robustness gate. These are different controlled mechanisms, not one model of the brain.

Evidence boundaries: no special Möbius advantage, biological hippocampal circuit, AI self, exceptional compression or solved catastrophic forgetting. The direct ridge tie is an explicit negative control.

OCTOBER 28, 2026 · THREE EMERGENCE WORLDS + ONE PRACTICAL MAKER

Worlds that grow — and a tool for capturing what we see

Three new digital-life experiments ask how a genome becomes behavior, what a predator can learn from changing prey, and whether cells can learn arbitrary communication. Emergence2 explicitly extends Emergence. EmergenceAstra is independent, with a different local-learning implementation. Loopcraft is a separate, practical video-to-GIF studio—not a descendant of the artificial-life models.

Read the source-linked four-repo review ↗
01 / GENOME → INTERPRETER → EVOLUTION

Emergence: fixed reading machinery, mutating instructions

Random token genomes feed a fixed transformer; lineage conditions affect expression; a shared cell network acts in a food-and-energy world. A short CPU run shows selection and transient multicellular bodies, not open-ended complexity. The source separates genome-length mutation bias from adaptation.

02 / EVOLVING PREY → LEARNING HUNTERS

Emergence2: the second level must beat a simple walker

Hunters now learn with a shared conv/GRU policy while eating an evolving cell ecosystem. Their written marks might become external memory, but actual mark use is not demonstrated. A simple persistent-heading forager is a strong control the trained hunters have not yet clearly surpassed in the full ecology.

03 / INDEPENDENT PARALLEL WORLD

EmergenceAstra: do arbitrary symbols become useful?

Local sender/receiver tables learn from pairwise catalyst outcomes; development can bud, bond and prune. The balanced shuffled/muted accuracy of 1/3 is an analytical baseline, not proof that language emerged. Culture learning and ecological persistence are separate experimental gates.

04 / PRACTICAL TOOL, NOT A THEORY BRANCH

Loopcraft: trim long videos into inspectable GIF loops

A local desktop GIF maker with a full-video navigator, independently zoomable IN/OUT timeline, preview and FFmpeg palette export. October 28 fixes keep trimming responsive for long videos and the export button visible on small screens. Handy for documenting emergent patterns, without implying code ancestry.

Scientific statements and measurements are attributed to the source repositories. The genealogy documents mechanisms, controls and limitations; it does not independently reproduce the long-run GPU experiments.

OCTOBER 28, 2026 · BLACKBOXLAB + WALLMEMORYLAW → EVENING

Evening — the scouts write; the wave reads; inheritance is tested

Evening joins Cell 0's material-writing scouts to finite-speed ping observation: one history signal is readable without a god's-eye material map. Then the ping's decision becomes the children's next writing rule. The result is not an inherited binary code yet: one state dominates and the other disappears.

Read the source-linked Evening review ↗
01 / THE SCOUT-WRITTEN HISTORY IS AUDIBLE

16 pings distinguish order — but mostly hear a distribution

Across 48 fresh worlds, 16 and 8 broadband pings each identify seek→avoid versus avoid→seek at 1.000 leave-one-out accuracy. A scalar mean scores 0.625. However, even fully shuffled maps score 1.000; the sound carries material-value distribution, not a proven spatial layout code. A second recency gate fails: ping 0.625, mean 0.812.

02 / MATERIAL → PING → CHILDREN

Dominance appears, two-state heredity does not

With the material as the sole intergenerational channel, 0/8 avoid-first lineages survive eight generations using single-site decisions, compared with 8/8 seek-first. An engineered majority receptor retains 2/8 avoid-first. Just 5% seek-first parents yield 37.9% seek-first children. Averaging nine analog pings or writing two distinguishable positive materials is a proposed, not run next experiment.

Figures and numerical claims come from Evening's committed source, not independent Genealogy reruns. A local wave reader is demonstrated in this synthetic model; natural genetic inheritance, hardware memory and a general physical memory theorem are not.

OCTOBER 27, 2026 · TWO LATE ADDITIONS · COMPLETE THE SEVEN-REPO ARRIVAL

Coherent waves, moving centers — what did the paper actually buy us?

Slider3 and AnttisInstanton2 complete the seven new October 27 repositories alongside the five previously reviewed wave/wall projects. Both implement restricted pieces of the new OpenAI wave construction, but test whether a mathematically structured detector improves anything beyond simpler observers. The honest result so far is a rigorous reference instrument, not a demonstrated predictive advantage or new physical particle.

Read the source-linked two-repo review ↗
01 / SLIDER3: EQUAL POWER, DIFFERENT PHASES

Conserved current detects phase — ordinary delay signals do too

Its seven-coordinate finite-wave tensor and directional Appendix-D slice satisfy the reported numerical checks. In 64/64 fixed-power phase changes, both paper observables respond while the power spectrum never changes; but ordinary coherent intensity and a three-delay scalar observer also detect 64/64. Its six scrambled waves also produce a larger instantaneous peak than a locked pair, so brightness is not persistence.

02 / ANTTISINSTANTON2: FREE WAVES MEET AN INVENTED PARTICLE

Auxiliary focus is not yet a better future-motion predictor

The unchanged nonlinear φ⁴ simulation now has a separate paper-inspired wave observer and live green–magenta center tracking. In its independent 256-wave free-wave test, ordinary controls predict future concentration with RMSE 0.040245 versus 0.040435 when the auxiliary response is added. Center lead–lag versus ordinary gradient and kinetic controls remains an open, not yet independently tested hypothesis.

Source-curated numerical receipts, not independently rerun here. A free-wave positivity/conservation theorem does not establish a new nonlinear transport law. See the five previously reviewed October 27 wave/wall repositories ↓.

OCTOBER 27, 2026 · FROM BERGLUND TO CONTROLLED MEMORY INTERROGATION

Waves that ask questions — a writable-wall memory branch

Six connected research cards now trace a June resonator computer through the October 25 OpenAI Euclidean-wave paper's directional-filter inspiration into physical echo interrogation and active reading. The mathematics did not prove a memory theorem. What survived is a measurable scattering-calibration method; what failed includes parabolic source superiority against a tuned conventional beam and an adaptive needle against a fixed probe.

Read the source-linked scientific review ↗
01 / THE BERGLUND → WALL-MEMORY SPINE

From resonator gates to 24-bit scattering memory

ResonantNeuron (June) built designed interference gates and arithmetic; Kavitaatio made externally changed Robin walls persist after the waves died. WallMemoryLaw then reported a pre-registered 24-patch stadium: 300/300 hidden patterns decoded from an ellipse-trained, amplitude-pruned 848-state calibration out of 16,777,216 possible patterns. Still no locally learned wall write rule.

02 / THE OPENAI PAPER'S DIRECTIONAL WINDOW

The wave law is testable, not a magic key

ParabolicOrientationSihti carried the paper's angular multiplier into lossless image decomposition; parabolic bands helped on one image score, but the paper's ray window did not beat ordinary parabolic steps. ResonanceAsControlledMethod launched matched-energy beams into two unfamiliar cavities; source-tuned fixed widths won 70.8 vs 51.1% (stadium) and 42.2 vs 34.7% (rotated ellipse).

03 / KAHUNA → THE QUESTIONING NEEDLE

Asking helps; adaptive is not always best

BigKahuna gives four already learned records a priced diagnostic question. Across 20 paired seeds, the adaptive needle reduces charged prediction loss 23.4% against no question, yet is 2.4% worse than a fixed calibrated question and wins 0/20 paired seeds against fixed. This is a reader-policy side branch, not an implementation of OpenAI's theorem.

Source-curated numerical receipts, not independently rerun in this atlas update. The K24 test is geometry/window-specific and stores bits by externally assigned parameters; none of these repos proves an OpenAI local-smoothing result for a reflecting neural memory.

OCTOBER 26, 2026 · THREE MISSING REPOSITORIES

Kahuna, Portaali, Gosh2 — a learning record and two living worlds

The comb family gained a narrow continual-learning control; AnttisBrain2 gained two different descendants. Kahuna tests whether protecting individually addressed transformations helps. Portaali makes two-way recursive worlds with delayed camera history; Gosh2 gives webcam flies actual in-world eyes and evolving three-field minds. Follow the distinct mechanisms rather than treating one visual metaphor as a universal AI model.

Read the source-linked review ↗
01 / KAHUNA: RECORDS AND WRITE PROTECTION

Protected is not always remembered correctly

Four cue-routed 2×2 operators learn from examples. The equally sized adaptive bank retains stable rules without freezing and tracks changed rules much better. Five-seed current-rule MSE after a change: 0.16473 locked vs 0.00001 adaptive. Source-reported results; no physical groove simulation.

BOUNDARY · Separated trainable matrices, not the history-bearing double-sided medium envisioned in the comb discussion.

02 / PORTAALI: A PORTAL REMEMBERS THE CAMERA

Step into another seed — and another time

AnttisBrain2 raymarched moons become paired portals that the camera and rays can both cross. Each deeper world samples the webcam four seconds further into its finite history. The crossing and delay tests were run under SwiftShader.

BOUNDARY · Worlds are recomputed from seeds; the webcam buffer is finite and real-GPU speed remains unmeasured.

03 / GOSH2: THE FLIES ENTER ANTTISBRAIN

Agents see the world from inside it

Original dumbflies field dynamics live inside the AnttisBrain2 world. Every fly gets a 32×32 GPU-rendered eye and a visual panel for its perception, memory and decision fields. The moons bend flies and light through a shared lens rule.

BOUNDARY · Runnable creative ethology toy, not demonstrated biological learning; long-duration behavior and real-GPU load are unmeasured.

OCTOBER 26, 2026 · CLASSICAL & QUANTUM COMBS

The Comb → QuantumComb — where does the cost move?

A rotating comb reads marks on paper. In the classical toy it computes ReLU convolutions, stores grooves or regrows them when needed. In its explicit quantum sibling, the paper becomes amplitudes, the comb becomes unitary gates, and reading becomes a probabilistic measurement. Two teaching machines; one lineage question about memory, work and what can be observed.

Read the documented comb pass ↗
01 / THECOMB: KEEP, REGROW, BORROW

Less paper, more turns of the lathe

Retain every activation sheet or calculate only the requested groove again, recursively. A separate GF(257) borrowed-register experiment makes low-degree phase cancellation exact and shows where it fails. The repository reports 27 bit-for-bit regrowth checks.

LIMIT · The simplified depth-first stack is a teaching piece, not the complete Williams theorem or a learning neuron.

02 / QUANTUMCOMB: AMPLITUDES, HISTORIES, SHOTS

The paper changes, and so does the price

Watch a small unitary qubit circuit as stored amplitudes (Schrödinger), a sum over exponential histories (Feynman), or sampled outcomes (Measure). Its source reports state/path amplitude agreement within 7 × 10⁻¹⁵ over tested settings and reversible circuit checks.

LIMIT · This is a classical simulator of quantum principles, not quantum hardware, a speedup demonstration or an independent physical experiment.

OCTOBER 25–26, 2026 · RETURNS, OPTICAL LIMITS & USEFUL ARTIFACTS

What came back — and what was really visible

The blind bicycle-bell learning line and a live hidden-half webcam share a discipline: the returning signal might reveal a mechanism, but only if a simpler control cannot explain it. Earlier practical tools get wall cards without being mistaken for proof of a larger theory.

Read the source-linked review ↗
01 / ODDONE: REAL SIGNAL OR FAMILIAR GUESS?

The hidden half can leak a shadow, not an entire world

In saved synthetic scenes, R² = 0.55 for smooth glow and 0.73 for edge shadows at 1/8 resolution; independent halves score below zero. But object continuation reaches 0.96, exposure reaches 0.99, and new-colour extrapolation collapses to −10.52 at full resolution.

BOUNDARY · These are synthetic diagnostic measurements. The released real-webcam interface has no independently audited frozen, novel-position optical-recovery verdict in this pass.

02 / THE BIKE BELL: SAVE A REACH OR LEARN A ROUTE?

Memory works; assigned routes retain; extra cable dynamics still need to earn their keep

SimplyPut's action table ties its shortcut at 100% first-reach success. Claude's sequential route controller needs 0.68 mean final corrections versus 2.94 for a shared net in the reported toy. Sol's active complex cables pass four of five gates but lose the decisive frozen/phase-off ablation. HailMery tests a separate motor-predicted self window.

BOUNDARY · These are constructed reach and multisensory fixtures, not biological dendritic or consciousness results. Check the new evidence records for the baselines.

03 / POPULAR FOSSILS: CODE THAT BECAME SOMETHING

A social world, screensaver, audio visualizer and phase experiments

The LLMit bot-forum line, StableAIflow and ResonantCortex gain curated cards. SpaceScreensaver and PhaseSpaceVisualizerVST were already present. Runnable software is a real outcome; undocumented benchmarks and grand physics claims are not silently promoted.

SOURCE REVIEW · Source-reported performance remains labeled as such; practical projects remain useful even when untested scientific claims are set aside.

OCTOBER 21, 2026 · MEASURED CLOSURE

Write, hold, replace — and let the controls win

A field-theory detour reaches a working simulated memory bank. The value today is a set of measured answers: barriers protect small integers, local gates permit replacement, and ordinary controls remove the stronger claims. The learning loop is still missing.

Read the day's findings ↗
01 / BRAINBOX: REPAIR AND STUBBORN MEMORY

Keeping an old trace is not replacing it

Sol's locked drift experiment gives 95.77% target-error reduction from interface repair; noise-aware writing fails both benefit claims. Local slowness retains 99.79%, but replaces only 65.10% versus the trace control's 100%.

LIMIT · Claude's separate homeostat protocol removes 97–99% of damage. Its Noise Sea trend reverses inside domains; the slow mode near melting is a simulation result, not physical mass creation or time dilation.

02 / CLAUDE: GLOBAL WHAT × LOCAL WHERE

Heat can open the write gate

Finite weak links protect a small winding alphabet. A four-ring array accepts 120/120 material-gated and 117/120 heat-gated target requests, each with 0/360 endpoint crosstalk after the field is threaded per hole.

BOUNDARY · Requests include unchanged values; actual changes are 79/79 and 70/73. Checks use endpoint full-field winding, not a noisy local reader. Whole-box rotation caused crosstalk. Addresses and values are supplied.

03 / SOL: SELECTIVE ACCESS, ORDINARY CONTROL

A memory bank works; richer state earns no gain

A three-cell bank gives 120/120 replacements, 240/240 protected neighbor exposures and 357/360 five-query votes. The analog address trace ties a discrete latch. The ordinary three-well array is perfect.

CORRECTION · The first single-query gate stays failed at 92.72%. Five-query reading is a separately locked test. Ordinary controls remove topology necessity; no learned allocation, physical two-bit implementation or energy advantage is shown.

What remains unbuilt: the medium's own traffic choosing where and what to store. Choose an external task and conventional learner first; familiar memory-bank behavior does not prove novelty or near-optimality. Pinned receipts, qualifications and the next discriminator ↗

OCTOBER 20, 2026 · BRAINBOX FIELD NOTE

BrainBox — memory in material, teaching through a return

Yesterday's hidden-state question now has two laboratories: persistent conductances and temporal transmission in Sol; spectral addresses and a sequential wave teacher in Claude. The mechanisms have different controls and different limits.

Read the day's findings ↗
SOL / MEMORY AND TRANSMISSION

The activity stops; the changed material answers

Supervised material memory: 4,000/4,000 after reset. A separate history writer and engineered temporal port: 1,279/1,280; fixed or erased 50%.

LIMIT · Reward learning fails at 75%; reversed mapping stays at 50%. A cheap classifier matches supervised accuracy; raw charge alone transmits history at 100%. Matching and calibrated readout are supplied.

CLAUDE / GEOMETRY AND TEACHING

Can the return teach from inside one field?

Conserved interface totals stabilize weak-bridge addresses. A three-phase wave teacher generates a local signal agreeing with its computed reference at 0.86–0.92; it learns 14/18 routes across two supplied mappings.

PARTIAL · Reliability gate fails. Labels, clock, schedule and global normalization remain supplied. Ordinary digital controls beat the geometric drift and continual-learning methods.

What survives: experience changes material; material changes a response; a response can cross a boundary; teaching needs the right objective and dynamics. Source results inspected, not independently rerun. Follow the Mad Monday starting point ↓

OCTOBER 19, 2026 · RESEARCH FIELD NOTE

Mad Monday — one gradient thought, many routes

The 3 a.m. spark: What if dendritic processing preserves local differences, the soma integrates their currents, and a returning signal meets what remains? Different AI collaborators took that intuition into cable dynamics, image completion, writable operators and transformer readouts. These are connected questions, not ten independent discoveries.

Read the day's research ledger ↗
01 / THE SPARK

Sihti → local differences → soma → return

Purification may redistribute rather than erase detail. A soma measures a narrow projection; branch-local state can remain hidden and change the response to a probe.

BOUNDARY · Conditional echo works in a constructed circuit; a fixed linear pulse cannot discover hidden modes.

02 / RESPONSE AS MEMORY

What does a query actually read?

Branch/soma reasoning became matrix memory, address selection and middle-layer activation return. Same theme: retained state and readable state are different.

BOUNDARY · Matched fast weights, normalized reads and indexed memories exposed simpler explanations. Qwen return 2/12 was negative.

03 / THE IMAGE BRANCH

A mean is not an orientation

ImageModel3 tested learned coarse-to-fine return and signed flux. Model4 tested actual orientation tensors. A direction-rich message must still be predicted and coupled to a compatible decoder.

MIXED · R4 pixel error improved, edge error worsened. Model4's privileged orientation oracle helped; the learned message and ping gates remained limited.

04 / THE READOUT

Use the coordinates a reader can hear

In a cable forecasting blackout, the same somatic samples became much easier for a fixed quadratic reader to use when expressed as temporal voltage differences.

MEASURED · Error 0.6745 → 0.3935 without pulse; 0.3951 with pulse. The pulse did not help the primary target.

05 / THE MICROSCOPE

Watch the local lens

Move a contour, chessboard or stripe patch; compare brightness with directional differences. Watch waiting branch activity, change leak or extent, adapt synaptic weights with Oja’s rule, and replay the same input against the original lens.

ILLUSTRATIVE · A dimensionless teaching model of local processing and adaptation, not a biological validation or image-recognition result.

The day's surviving question: what does the medium preserve, which measurement reveals it, and where must the return enter to matter? Spatial voltage gradients, temporal voltage differences, and learning-loss gradients are not interchangeable. Sources, failed gates and limits ↗

EVIDENCE-BACKED ONLY

The braided river

An edge means we found evidence for that relationship. A missing edge means not established yet. Version numbers and similar names are discovery hints, never ancestry by themselves.

100%
THE OBJECT ITSELF CHANGED

Scientific timeline

Grouping by scientific era prevents a misleading “V2 → V3 → V4” story when later repositories are actually autopsies, corrections, or different machines wearing the same family name.

SELECTION EVENTS

Corrections & dead claims

These are not embarrassing side notes. They are where the genealogy actually branches: an attractive explanation fails, and a smaller mechanism survives.

WHAT DID REALITY SAY?

Empirical evidence

Lineage confidence and scientific support are different objects. This view records experimental design, samples or seeds, controls, measured effects, replication status, limitations, and null or contradictory results without compressing them into one score.

WHAT WOULD CHANGE OUR MIND?

Unresolved questions

Evidence becomes useful for planning when it identifies what is still ambiguous. These records keep competing explanations alive, state the missing discriminator, and propose a concrete next experiment without pretending the outcome is already known.

USEFUL EVEN IF THE THEORY VANISHES

Tools & artifacts

This view cuts across genealogy families and research eras. It keeps the reviewed repositories that can be installed, played, measured or used directly, while preserving the same “what survived / what not to overclaim” ledger.

INVENTORY ≠ INTERPRETATION

Repository census

Every discovered repo belongs here, even before anyone has earned the right to draw an ancestry arrow.

WHAT KEPT COMING BACK?

Survivor motifs

Mechanisms recurring across different metaphors—field, neuron, splat, GA, observer—are stronger clues than naming continuity.

NEXT DIG SITES

Archaeology queue

The queue favors ancestors, abandoned starts, cross-links, practical tools and suspiciously repeated mechanisms—not novelty.