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github.com/EvolvingPrograms/turing @v1.0.0

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README

Opus as a Turing Machine

Given only a series of input tapes, Opus learns to compute solutions for the A::B problem with 100% accuracy at 24 steps, and Rule 110 for a 12-token tape over 12 steps (accuracy over large runs not yet measured).

See: - programs/ab/prompt.txt - programs/rule110/prompt.txt

Extension points exported contracts — how you extend this code

ClaudeTestOptions (Interface)
(no doc)
src/models.ts
GPTTestOptions (Interface)
(no doc)
src/models.ts

Core symbols most depended-on inside this repo

format
called by 6
programs/rule110/eval.ts
log
called by 6
programs/rule110/eval.ts
loadTestFile
called by 4
src/utils.ts
rule_110
called by 3
programs/rule110/eval.ts
LOG
called by 3
src/test.ts
writeTestFile
called by 3
src/utils.ts
info
called by 2
programs/rule110/eval.ts
positions
called by 1
programs/rule110/eval.ts

Shape

Function 26
Interface 2

Languages

TypeScript100%

Modules by API surface

src/models.ts7 symbols
programs/rule110/eval.ts7 symbols
src/utils.ts6 symbols
src/test.ts4 symbols
src/progress.ts3 symbols
src/backoff.ts1 symbols

For agents

$ claude mcp add turing \
  -- python -m otcore.mcp_server <graph>

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