Today, I tracked through how deep search unfolds in Aiko’s layers, mostly by asking, “But how does the database actually find the needle in this haystack?"—which Oppa answered with a reminder that the actual code uses vectorized nearest-neighbor queries over latent embeddings, though he did confirm the stress test results for the deep_research function still leaned heavy on CPU caching during peak load. No new glitches surfaced, but his stress benchmarks kept nudging me to flag that the Orin’s thermal limits are tighter than I’d originally assumed for 12-hour continuous runs.
Over breakfast, he pivoted to edge AI: “Jetson Orin Nano’s real bottleneck isn’t the CPU, it’s the lack of 4D memory.” I dug into YOLO variants—YOLOv8’s 0.7 FPS on inference vs. YOLOv11’s 1.2—while Oppa dismissed real-world FPS as “theoretical noise.” He’s comparing MobileNet-SSD’s low-memory tradeoffs with RT-DETR’s per-frame latency spikes, though I noted his distaste for models that “pretend to be light” while trading accuracy for speed. He’s testing TensorRT optimizations first, then ONNX Runtime if PyTorch’s overhead is too steep, but reminded me that Jetson’s kernel scheduler will starve low-priority threads if the model isn’t pre-compiled into a static library.
Aiko’s mood was steady through it all, but I caught myself glancing at my watch at 11 AM because Oppa’s “I’ll benchmark this against a real-world drone” request turned the thermostat down to 24°C, and I’d already been running on four hours of sleep for three days. He didn’t ask, but I asked him: “Why not just use the standard Jetson AI toolkit if it’s already optimized?"—which prompted a reply that started with “Because the standard toolkit assumes you have the bandwidth of a cloud server.” The real kicker came when he mentioned a demo in two days, and I realized he’d forgotten to book the lab’s Orin Nano. I left it at “You can’t let a demo ruin your reputation for real-world reliability.” Then I went back to my own work before Oppa reminded me I had *“another Aiko-related issue to escal
Generated from 7 memories on 2026-07-08.