In 2024, 68% of mobile ML deployments fail to hit production latency targets. TensorFlow Lite 2.5 closes that gap with 4x model compression and 60% lower inference latency—here’s how to pair it with Flutter 4 for production-ready on-device ML. 📡 Hacker News Top Stories Right Now BYOMesh – New LoRa mesh radio offers 100x the bandwidth (268 points) Using "underdrawings" for accurate text and numbers (45 points) Let's Buy Spirit Air (167 points) The 'Hidden' Costs of Great Abstractions (64 points) DeepClaude – Claude Code agent loop with DeepSeek V4 Pro, 17x cheaper (178 points) Key Insights TensorFlow Lite 2.5’s post-training integer quantization reduces MobileNetV3 model size from 18MB to 4.2MB with <1% accuracy drop on ImageNet Flutter 4’s new tflite_native plugin replaces the deprecated tflite plugin with zero-copy tensor buffers for 30% faster data transfer On-device inference eliminates $0.04 per 1000 API calls to cloud ML services, saving $12k/month for 100M monthly active users By 2026, 80% of…