nx_paradigm_neurosymbolic_gate.nx
buildroot/runtime/nx_paradigm_neurosymbolic_gate.nx
about
nx_paradigm_neurosymbolic_gate.nx -- honest cycle on NEUROSYMBOLIC (dismissed GOFAI returning), map #3.
Hypothesis (testable): a SYMBOLIC verifier catches errors an APPROXIMATE ("neural") solver makes -> higher
reliability. Independent reference: the exact answer. Discipline (find where it FAILS): symbolic checking
only pays when the problem has CHEAP CHECKABLE STRUCTURE. Verifiable problem = isqrt (s^2<=N<(s+1)^2, a
cheap exact check) -> verifier catches + re-solves every error. NON-verifiable problem = estimate-average
(the only "check" is recomputing the true average = the work you were approximating) -> symbolic adds
NOTHING. Record the regime where neurosymbolic pays, honestly. No hw writes (Rule 26). expect_exit: 0 tier: ORIGINAL
dependencies 2 imports · 0 importers
imports: nx_syscalls.nxnx_gate_verdict.nx
imported by: nobody (leaf or entry point)
call flow from main pre-order; caps 40 nodes / depth 6 declared; ↻ = already shown
structs
| none |
consts
| none |
functions
| 11 | func ns_puts(s: *u8) -> i64 { var n: i64=0; while s[n]!=(0 as u8){n=n+1} sys_write(1,s,n); return 0 } |
| 12 | func ns_num(v: i64) -> i64 { let b: *u8=sys_mmap(28); var m: i64=v; if m<0{m=0-m;sys_write(1,"-" as *u8,1)} let t: *u8=sys_mmap(28); var k: i64=0; if m==0{t[0]=48 as u8;k=1} while m>0{t[k]=(48+(m%10)) as u8;m=m/10;k=k+1} var i: i64=0; while i<k{b[i]=t[k-1-i];i=i+1} sys_write(1,b,k); return 0 } |
| 13 | func isqrt(v: i64) -> i64 { if v<=0 { return 0 } if v<4 { return 1 } var x: i64=v; var y: i64=(x+1)>>1; var go: i64=1; while go==1 { if y<x { x=y; y=(x+v/x)>>1 } else { go=0 } } return x } called by 1: main |
| 14 | func v_isqrt(v: i64, s: i64) -> i64 { if s*s>v { return 0 } if (s+1)*(s+1)<=v { return 0 } return 1 } // cheap exact CHECK called by 1: main |
| 16 | func main() -> i64 |