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Tesla-loop codec discovery report

seed=99 n=46 design_space_cells=16,669,800

seed_signatures=20 axis_coverage={'carriers': 0.8, 'coupling': 1.0, 'memory': 1.0, 'addressing': 0.8571428571428571, 'time': 1.0, 'conservation': 1.0, 'credit': 0.8333333333333334, 'update': 0.8571428571428571, 'granularity': 1.0, 'locality': 1.0}

How this differs from keyword cross-pollination

  1. Mechanism first — 10-axis signatures, not topic name mashup.
  2. Transfer only disagreeing axes — Tesla move: keep skeleton, import 1–3 properties.
  3. Compile to codec algebra — axes force ops (intern/patch/gate/plan…).
  4. Measure — token proxy + fidelity proxy on fixed prose corpus.
  5. Void + taboo — sample unoccupied cells; down-rank pure rediscovery.

There is no free magical codec. There is systematic search for

high utility (saving × fidelity) operators under no-retrain constraints.

Top discoveries

1. V0005 rank=1.045 void_cell save=84% fid=0.83

  • transfer: void <- bytecode_vm axes[carriers,coupling] align=0.20
  • pair: void × bytecode_vm moved_axes=['carriers', 'coupling']
  • ops: set_field, emit, intern, ref_by_hash, fetch_on_miss, soft_merge, diffuse, plan, blame_upstream, checksum, invertible_decode, batch_table
  • encode: name every bulky blob by content-hash; body out-of-line; merge multi-view facts with decay weights; N: as reverse-creditable bytecode steps; prefer invertible codecs; measure fact-retention; many entities as tables not paragraphs
  • thinking: plan then attribute failure to earlier N: step; no silent drop of X constraints; allow non-local ref jumps via ids (not linear chat order)
  • metrics: ratio=0.159 utility=0.785

2. V0009 rank=1.008 void_cell save=84% fid=0.83

  • transfer: void <- compression_dict axes[coupling,addressing] align=0.30
  • pair: void × compression_dict moved_axes=['coupling', 'addressing']
  • ops: set_field, emit, intern, ref_by_hash, fetch_on_miss, write_bank, recall_topk, patch, compress_path, publish_id, subscribe_id, iterate_to_fixed, undo, batch_table
  • encode: name every bulky blob by content-hash; body out-of-line; durable external IR bank; prompt holds summary+ids only; send edit scripts only; collapse chains of renames; reversible patches for safe metamorphic reencode; many entities as tables not paragraphs
  • thinking: cross-session continuity without chat dump; reason about Δ not full world; iterate critique until IR fixed-point / checklist pass; allow non-local ref jumps via ids (not linear chat order)
  • metrics: ratio=0.159 utility=0.743

3. V0008 rank=1.003 void_cell save=84% fid=0.83

  • transfer: void <- bytecode_vm axes[carriers,coupling] align=0.20
  • pair: void × bytecode_vm moved_axes=['carriers', 'coupling']
  • ops: set_field, emit, intern, ref_by_hash, fetch_on_miss, working_set, forget, patch, compress_path, iterate_to_fixed, batch_table
  • encode: name every bulky blob by content-hash; body out-of-line; small working set; age-out non-keystone; send edit scripts only; collapse chains of renames; many entities as tables not paragraphs
  • thinking: reason about Δ not full world; iterate critique until IR fixed-point / checklist pass
  • metrics: ratio=0.159 utility=0.743

4. C0028 rank=0.968 exotic save=84% fid=0.83

  • transfer: tool_use <- compression_dict axes[update,locality] align=0.50
  • pair: tool_use × compression_dict moved_axes=['update', 'locality']
  • ops: set_field, emit, intern, ref_by_hash, fetch_on_miss, write_bank, recall_topk, reencode, collapse, write_medium, read_medium, sample_paths, vote_merge, batch_table
  • encode: name every bulky blob by content-hash; body out-of-line; durable external IR bank; prompt holds summary+ids only; milestone reencode: larval notes → adult dense STATE; agents/tools communicate only via shared IR medium; many entities as tables not paragraphs
  • thinking: cross-session continuity without chat dump; stigmergic coordination: no full state broadcast; gated multi-path sample; merge into IR fields; allow non-local ref jumps via ids (not linear chat order)
  • metrics: ratio=0.159 utility=0.743

5. V0014 rank=0.956 void_cell save=84% fid=0.83

  • transfer: void <- prompt_cache_prefix axes[carriers,coupling] align=0.10
  • pair: void × prompt_cache_prefix moved_axes=['carriers', 'coupling']
  • ops: set_field, emit, intern, ref_by_hash, fetch_on_miss, freeze_prefix, cache_subplan, conf_tag, batch_table
  • encode: name every bulky blob by content-hash; body out-of-line; one global frozen prefix (schema+legend) broadcast cheaply; cache verified subplans by signature; attach confidence; prune low-mass beliefs under budget; many entities as tables not paragraphs
  • thinking: structured fields guide multi-step work
  • metrics: ratio=0.159 utility=0.701

6. C0014 rank=0.938 remix save=84% fid=0.83

  • transfer: content_addressed_store <- symbol_intern_pool axes[update] align=0.90
  • pair: content_addressed_store × symbol_intern_pool moved_axes=['update']
  • ops: set_field, emit, intern, ref_by_hash, fetch_on_miss, write_bank, recall_topk, min_plus, viterbi_path, publish_id, subscribe_id, checksum, invertible_decode, batch_table
  • encode: name every bulky blob by content-hash; body out-of-line; durable external IR bank; prompt holds summary+ids only; tropical semiring plan scoring (min-plus paths); prefer invertible codecs; measure fact-retention; many entities as tables not paragraphs
  • thinking: cross-session continuity without chat dump; optimal path plans without enumerating prose trees; no silent drop of X constraints; allow non-local ref jumps via ids (not linear chat order)
  • metrics: ratio=0.159 utility=0.743

7. V0002 rank=0.934 void_cell save=66% fid=0.83

  • transfer: void <- diff_patch axes[coupling,memory] align=0.10
  • pair: void × diff_patch moved_axes=['coupling', 'memory']
  • ops: set_field, emit, write_bank, recall_topk, soft_merge, diffuse, write_medium, read_medium, plan, blame_upstream, conf_tag, branch, merge_crdt, batch_table
  • encode: durable external IR bank; prompt holds summary+ids only; merge multi-view facts with decay weights; agents/tools communicate only via shared IR medium; N: as reverse-creditable bytecode steps; attach confidence; prune low-mass beliefs under budget; many entities as tables not paragraphs
  • thinking: cross-session continuity without chat dump; stigmergic coordination: no full state broadcast; plan then attribute failure to earlier N: step; explicit branch/merge in N: for hard search
  • metrics: ratio=0.335 utility=0.679

8. C0026 rank=0.904 exotic save=66% fid=0.83

  • transfer: bloom_maybe <- tool_use axes[locality] align=0.50
  • pair: bloom_maybe × tool_use moved_axes=['locality']
  • ops: set_field, emit, match_mix, topk, gate, winner_take, iterate_to_fixed, batch_table
  • encode: store keys not full neighbors; retrieve by similarity gate; compete candidates; admit only winners under budget; many entities as tables not paragraphs
  • thinking: attention-like select: only matched slots enter working set; hardness/relevance competition before deep CoT; iterate critique until IR fixed-point / checklist pass
  • metrics: ratio=0.335 utility=0.679

9. V0013 rank=0.903 void_cell save=66% fid=0.83

  • transfer: void <- radix_trie axes[carriers,coupling] align=0.30
  • pair: void × radix_trie moved_axes=['carriers', 'coupling']
  • ops: set_field, emit, path_get, path_set, share_prefix, min_plus, viterbi_path, level_skip, express_lane, conf_tag, phase_gate, batch_table
  • encode: address nested facts by path; share common prefixes; tropical semiring plan scoring (min-plus paths); multi-level IR: coarse summary lanes + fine pages; attach confidence; prune low-mass beliefs under budget; phase: skim↔deep on control parameter (uncertainty); many entities as tables not paragraphs
  • thinking: optimal path plans without enumerating prose trees
  • metrics: ratio=0.335 utility=0.638

10. V0012 rank=0.898 void_cell save=66% fid=0.83

  • transfer: void <- homeostasis_setpoint axes[carriers,coupling] align=0.20
  • pair: void × homeostasis_setpoint moved_axes=['carriers', 'coupling']
  • ops: set_field, emit, scatter_shards, reconstruct_partial, min_plus, viterbi_path, sample_paths, vote_merge, undo
  • encode: facts as overlapping shards; partial context still reconstructs gist; tropical semiring plan scoring (min-plus paths); reversible patches for safe metamorphic reencode
  • thinking: graceful degradation under budget cuts; optimal path plans without enumerating prose trees; gated multi-path sample; merge into IR fields; allow non-local ref jumps via ids (not linear chat order)
  • metrics: ratio=0.335 utility=0.638

11. V0016 rank=0.898 void_cell save=66% fid=0.83

  • transfer: void <- s_expression_ast axes[coupling,memory] align=0.20
  • pair: void × s_expression_ast moved_axes=['coupling', 'memory']
  • ops: set_field, emit, match_mix, topk, level_skip, express_lane, sample_paths, vote_merge, seq_tag, batch_table
  • encode: store keys not full neighbors; retrieve by similarity gate; multi-level IR: coarse summary lanes + fine pages; preserve order tags on plans and facts; many entities as tables not paragraphs
  • thinking: attention-like select: only matched slots enter working set; gated multi-path sample; merge into IR fields; allow non-local ref jumps via ids (not linear chat order)
  • metrics: ratio=0.335 utility=0.638

12. C0021 rank=0.896 remix save=84% fid=0.83

  • transfer: content_addressed_store <- compression_dict axes[update] align=0.90
  • pair: content_addressed_store × compression_dict moved_axes=['update']
  • ops: set_field, emit, intern, ref_by_hash, fetch_on_miss, write_bank, recall_topk, reencode, collapse, publish_id, subscribe_id, checksum, invertible_decode, undo
  • encode: name every bulky blob by content-hash; body out-of-line; durable external IR bank; prompt holds summary+ids only; milestone reencode: larval notes → adult dense STATE; prefer invertible codecs; measure fact-retention; reversible patches for safe metamorphic reencode; many entities as tables not paragraphs
  • thinking: cross-session continuity without chat dump; no silent drop of X constraints; allow non-local ref jumps via ids (not linear chat order)
  • metrics: ratio=0.159 utility=0.701

Ops enriched in top-20 (build these into STATE-IR)

  • set_field ×20
  • emit ×20
  • batch_table ×18
  • intern ×8
  • ref_by_hash ×8
  • fetch_on_miss ×8
  • write_bank ×8
  • recall_topk ×8
  • iterate_to_fixed ×5
  • match_mix ×5
  • topk ×5
  • seq_tag ×5
  • soft_merge ×4
  • diffuse ×4
  • checksum ×4

System upgrades this loop encodes (do more of this)

UpgradeWhy Tesla-likeStatus
Signature-first analogySun/field → skeleton not nounsthis file
Transfer on diff axes onlyInduction motor = imported relationthis file
Forced codec compilerInsight must become algebrathis file
Density×fidelity measureKill pretty stories that don't packthis file
Void cell samplingSearch where no one has lookedthis file
Taboo rediscoveryDon't re-name EMA/dict as newthis file
LLM agent critique packetsSemantics/literature only humans/LLMs doexport next
Tokenizer-true token countsReplace proxy with tiktoken/providerTODO
Round-trip fact testsStronger fidelity than proxyTODO
MAP-Elites niches on codec metricsQD archive of packers vs reasonersTODO wire lab
Couple to algolab math lawsSame signature → symbolic Φlab already

Hard truth

A 'magical free codec' would mean: arbitrary English → far fewer tokens,

perfect recall, better reasoning, zero schema design. **Information theory

and model interfaces forbid the free part.** What you can invent is a

new operator in the codec algebra (new addressing×update×credit combo)

that wins measured utility — the induction-motor analogue is a new relation,

not zero cost.