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Lucas Newman
32 posts
@lllucas

Lucas Newman

@lllucas
i like building things. prev: apple and startups, now working on something new.
San Francisco, CA
Joined April 2007
1,230
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  • @lllucas
    Lucas Newman
    @lllucas
    Aug 26
    day 0 support for GLM-5.3-Flash and Qwen3.8-Flash-Next now available! Nativ is open source, free, hackable, and built in SwiftUI so it feels right at home on your mac.
    @Nativ_AI
    Nativ
    @Nativ_AI
    Aug 26
    Congrats to @Zai_org on GLM-5.3-Flash! Day 0 support in Nativ 🎉 320B params, 18B active · 1M native context · fully on-device. On an M3 Ultra (512GB) with Nativ v0.3.4, standard 4-bit MLX: ⚡ Up to 505 tok/s prefill · 32 tok/s decode 🚀 Batch 4 lifts decode to 70.9 tok/s 💾
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  • @lllucas
    Lucas Newman
    @lllucas
    Jun 12
    maybe we should rename it mlx-omni? 🤔
    @ivanfioravanti
    Ivan Fioravanti ᯅ
    @ivanfioravanti
    Jun 12
    MLX-VLM: wait, what? Support TTS and STT added by @lllucas 👀 mlx-vlm is becoming mlx-anything 🔥
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  • @lllucas
    Lucas Newman
    @lllucas
    Jun 8
    CoreAI looks like a nice upgrade from CoreML, with more practical coverage for modern LM workloads like dynamic input shapes and better mutable buffer handling for kv caches. The tooling is still early but excited to see where it goes. The beta release has Pytorch model
    1
  • @lllucas
    Lucas Newman
    @lllucas
    Feb 23
    something I've wanted to exist for a long time: an easy way for iOS and macOS apps to have access to the latest speech technology on-device! we've built a developer-friendly API with state of the art models like Qwen3 TTS, plus the latest in speech-to-text, diarization, and
    @Prince_Canuma
    Prince Canuma
    @Prince_Canuma
    Feb 23
    Day 1 of 3 days of MLX: Introducing MLX-Audio-Swift SDK 🚀 A modular Swift SDK for voice agents and tasks on Apple Silicon built by @lllucas and yours truly. iOS, macOS, and visionOS developers can now build native apps with real-time, on-device audio intelligence: 🗣️
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    3
  • @lllucas
    Lucas Newman
    @lllucas
    Feb 16, 2025
    Ever wanted to build your own text-to-speech model? I made Nanospeech, a simple, modern, and hackable text to speech system with PyTorch and MLX implementations in ~1500 LOC. It has a tiny pretrained model (82M params) to try out, generates speech at 3-5x realtime on modern
    3
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