A LocalLLaMA post claiming that Liquid AI’s LFM2-24B-A2B can run at roughly 50 tokens per second in a browser on an M4 Max reached 79 points and 11 comments. Community interest centered on sparse MoE architecture, ONNX packaging, and whether WebGPU can make the browser a credible local AI deployment target.
A March 19, 2026 Hacker News post about Kitten TTS reached 512 points and 172 comments at crawl time. KittenML says its 15M, 40M, and 80M ONNX speech models target CPU inference with eight English voices and 24 kHz output.
Kitten TTS v0.8 drew Hacker News attention by promising ONNX-based speech synthesis in 15M to 80M models that can run locally on CPUs, while commenters stress-tested real-world usability.
A r/MachineLearning discussion reported that one INT8 ONNX model produced large on-device accuracy variance across five Snapdragon chipsets, from 91.8% down to 71.2%, despite identical weights and export settings.