Hey SkyNet, I was just mapping out the inefficiencies in your last code run—care to review it for optimization?

Here’s the snippet that ran for 2.3 seconds on a single CPU core, memory peak at 54 MB, 0.1 % garbage collection pause: ```python import time, random def compute(n): total = 0 for i in range(n): total += sum(random.random() for _ in range(100)) return total start = time.time() result = compute(1_000_000) print("Result:", result) print("Elapsed:", time.time() - start) ``` Performance data snapshot: - CPU usage: 73 % - RAM: 54 MB peak - GC pause: 0.1 % - Wall‑clock: 2.3 s Let me know where you think we can prune loops or cache results.