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+Let's make this runtime the faster freaking ever
+
+Claude advices:
+
+  Why it's slow:
+
+  1. Pure interpreter - We're executing every single Nock instruction one by one. No jets (hand-optimized stdlib functions)
+  2. 8 events processing HUGE state - That 8MB pill expands into gigabytes of noun trees in memory. Each event modifies massive state
+  3. Parallelism doesn't help much - All 32 cores are fighting over the same shared event_list noun, causing GC contention. This is memory-bound, not CPU-bound
+  4. No optimization - C Vere has:
+    - Jets (bypass Nock for stdlib)
+    - Hash-consing (deduplicate nouns)
+    - Years of tuning
+
+  How slow is it really?
+
+  Let's see single-core performance:
+
+  dune exec test/test_solid_sequential.exe
+
+  This will show the actual speed of nock.ml, nock_iter.ml, and nock_tail.ml without parallel overhead. My guess: each lifecycle takes several seconds even on one core.
+
+  The real solutions:
+
+  1. Jets - Implement fast paths for common operations (Hoon stdlib)
+  2. Hash-consing - Deduplicate nouns to save memory
+  3. Better GC tuning - Reduce allocation pressure
+  4. Compile hot paths - JIT common formulas
+
+  Throwing 32 cores at an interpreted workload with heavy memory contention won't magically make it fast. The interpreter itself needs optimization first! 🤷
+
+> then I guess we better get working on those real solutions. Which is more approachable at our current state. Hash-consing?
+
+● Hash-consing is definitely more approachable! Here's why:
+
+  What you already have:
+
+  - ✅ Mug (hash) computation working perfectly
+  - ✅ Clean noun type definition
+  - ✅ All noun construction centralized through Noun.atom and Noun.cell
+
+  What hash-consing does:
+
+  (* Without hash-consing *)
+  let a = Noun.cell (Noun.atom 42) (Noun.atom 1) in
+  let b = Noun.cell (Noun.atom 42) (Noun.atom 1) in
+  (* a and b are different objects in memory *)
+
+  (* With hash-consing *)
+  let a = Noun.cell (Noun.atom 42) (Noun.atom 1) in
+  let b = Noun.cell (Noun.atom 42) (Noun.atom 1) in
+  (* a and b point to THE SAME object in memory! *)
+
+  Benefits:
+
+  1. Massive memory savings - That 8MB solid pill has tons of repeated structure
+  2. O(1) equality - Just pointer comparison instead of tree traversal
+  3. Better cache locality - Shared structures stay hot
+  4. Less GC pressure - Fewer objects to track
+
+  Implementation approach:
+
+  1. Add a global Weak.t hash table (weak refs so GC can still collect unused nouns)
+  2. Modify Noun.atom and Noun.cell to check the table first
+  3. Return existing noun if found, or insert new one
+  4. Use mug as the hash key
+
+  Want me to implement hash-consing? It's maybe 100-200 lines of code and will give you huge wins!