demos
Standalone programs that put each machine in the family to work on a named
task. Every script is self-contained (python demos/<name>.py), loads the
shipped weights, and cross-checks its result against an independent reference.
| Demo | Machine | What it does |
|---|---|---|
neural_computer8_self_modifying_sieve.py |
neural_computer8 |
Sieve of Eratosthenes; with no indexed addressing, the program rewrites the address bytes of its own LOAD/STORE. Finds all 54 primes < 256. |
neural_computer8_euclid_gcd.py |
neural_computer8 |
Euclid's GCD, with a mod b built from the DIV/MUL/SUB opcodes and an XOR register swap. |
neural_computer8_collatz.py |
neural_computer8 |
Collatz step counts; exact for every seed whose trajectory stays inside the 8-bit range. |
neural_rv32_machin_pi.py |
neural_rv32 |
pi to nine digits by Machin's 1706 arctangent formula, printed to the console. |
neural_rv32_neural_nets_via_neur.py |
neural_rv32 |
Ternary neural nets run as NEUR software: one learned by gradient descent, one (XOR) compiled by construction. |
neural_matrix8_gpu_cpu_fleet.py |
neural_matrix8 |
65,536 CPUs stepped in lockstep on the GPU as one batched matrix product. |
neural_attractor_factoring.py |
neural_attractor |
Factors semiprimes by relaxing an 8x8 multiplier's energy backward; also divides. |
neural_attractor_nqueens.py |
neural_attractor |
Solves 6- and 8-queens by relaxing toward zero unsatisfied clauses. |
neural_subleq8io_universal_constructor.py |
neural_subleq8io |
The universal constructor fabricates a sibling machine byte-for-byte, which then boots. |
neural_reflect_self_modifying_stack.py |
neural_reflect |
Self-modifying SUBLEQ code, on a stored machine, on the fixed interpreter: three levels in one tensor. |
neural_reversible_counterfactual.py |
neural_reversible |
Bijective mixing, exact reverse recovery, and the counterfactual when a digest bit is flipped. |
neural_ca_loschmidt_echo.py |
neural_ca |
A ~2,000-particle gas mixed 500 steps and un-mixed exactly; one flipped cell corrupts half the past. |
neural_ca_reversible_cipher.py |
neural_ca |
The reversible automaton as a block cipher: exact decryption with the right key, noise with a wrong one. |
neural_tile_pascal_lucas.py |
neural_tile |
Self-assembly grows Pascal's triangle mod 2; every cell verified against Lucas' theorem. |