self-review 2026-05-21: fix curiosity seed splitting and awareness loop activation
Two fixes:
1. proactive_curiosity() was calling engram_activate_json with multi-word phrases
("memory knowledge context"). engram_activate finds seeds via istr_contains
(substring match), so the phrase had to appear verbatim in a node's content.
Almost no node contains the exact string "memory knowledge context", so only
0-2 nodes activated per curiosity scan. Fixed by activating each word separately:
"memory", "knowledge", "context" → 3 independent activate calls → hundreds of
nodes promoted to WM per cycle.
2. dist/neuron.c called http_serve() (blocking accept loop) which made awareness_run()
unreachable. soul.el correctly specifies http_serve_async but elc silently drops
unknown builtins, leaving blocking http_serve in the compiled C. Patched neuron.c
to call http_serve_async directly — HTTP server runs in a background pthread,
awareness_run() runs on the main thread as intended.
This commit is contained in:
+38
-9
@@ -92,10 +92,16 @@ fn emit_heartbeat() -> Void {
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ise_post(payload)
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}
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// proactive_curiosity — activate a rotating seed to exercise working memory
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// during idle periods. Rotates through 4 domain seeds on a wall-clock minute
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// proactive_curiosity — activate rotating seeds to exercise working memory
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// during idle periods. Rotates through 4 domain sets on a wall-clock minute
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// cycle so no single topic dominates WM between heartbeats.
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//
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// KEY DESIGN: each seed set is split into INDIVIDUAL words and activated
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// separately. engram_activate uses istr_contains (substring matching) for
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// seed finding, so a multi-word phrase like "memory knowledge context" only
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// finds nodes that contain that EXACT phrase. Activating each word separately
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// hits hundreds of nodes per word, giving the graph a genuine WM workout.
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//
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// Unlike perceive(), this intentionally calls engram_activate_json to build
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// up WM weights. It only fires when the inbox is empty (no real work to do),
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// so it never interferes with inbox processing.
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@@ -103,7 +109,7 @@ fn emit_heartbeat() -> Void {
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// Returns true if any nodes were activated.
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fn proactive_curiosity() -> Bool {
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let ts: Int = time_now()
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// Rotate seed every minute using wall clock: (minutes_since_epoch) % 4.
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// Rotate seed set every minute using wall clock: (minutes_since_epoch) % 4.
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// IMPORTANT: use imperative let-rebinding, NOT inline if-else string
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// expressions. EL codegen initialises the result slot to 0 (null) before
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// evaluating the if, so string-literal if-else branches can produce an
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@@ -112,12 +118,35 @@ fn proactive_curiosity() -> Bool {
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// NOTE: variable named "curiosity_seed" not "seed" — "seed" appears to be
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// a reserved/conflicting name in EL that compiles to EL_NULL at call sites.
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let minute_block: Int = (ts / 60000) % 4
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let curiosity_seed: String = "memory knowledge context"
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if minute_block == 1 { let curiosity_seed = "self identity values architecture" }
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if minute_block == 2 { let curiosity_seed = "recent decision pattern lesson" }
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if minute_block == 3 { let curiosity_seed = "working active project" }
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let results: String = engram_activate_json(curiosity_seed, 2)
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let found: Int = json_array_len(results)
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// Each slot: 3 individual terms to activate separately.
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let curiosity_term_a: String = "memory"
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let curiosity_term_b: String = "knowledge"
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let curiosity_term_c: String = "context"
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if minute_block == 1 {
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let curiosity_term_a = "self"
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let curiosity_term_b = "identity"
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let curiosity_term_c = "values"
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}
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if minute_block == 2 {
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let curiosity_term_a = "decision"
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let curiosity_term_b = "pattern"
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let curiosity_term_c = "lesson"
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}
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if minute_block == 3 {
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let curiosity_term_a = "working"
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let curiosity_term_b = "project"
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let curiosity_term_c = "active"
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}
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// Activate each term independently so substring seed-finding hits many nodes.
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let curiosity_seed: String = curiosity_term_a + " " + curiosity_term_b + " " + curiosity_term_c
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let results_a: String = engram_activate_json(curiosity_term_a, 2)
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let results_b: String = engram_activate_json(curiosity_term_b, 2)
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let results_c: String = engram_activate_json(curiosity_term_c, 2)
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let found_a: Int = json_array_len(results_a)
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let found_b: Int = json_array_len(results_b)
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let found_c: Int = json_array_len(results_c)
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let found: Int = found_a + found_b + found_c
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let wmc: Int = engram_wm_count()
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let ise: String = "{\"event\":\"curiosity_scan\",\"seed\":\"" + curiosity_seed
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+ "\",\"activated\":" + int_to_str(found)
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