[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-739737427d52b833-mlx-frontier-ai-fully-on-device-on-apple-silicon-summary":3,"summaries-facets-categories":107,"summary-related-739737427d52b833-mlx-frontier-ai-fully-on-device-on-apple-silicon-summary":7012},{"id":4,"title":5,"ai":6,"body":13,"categories":64,"created_at":65,"date_modified":65,"description":58,"extension":66,"faq":65,"featured":67,"kicker_label":65,"meta":68,"navigation":86,"path":87,"published_at":88,"question":65,"scraped_at":89,"seo":90,"sitemap":91,"source_id":92,"source_name":93,"source_type":94,"source_url":95,"stem":96,"tags":97,"thumbnail_url":102,"tldr":103,"tweet":104,"unknown_tags":105,"__hash__":106},"summaries\u002Fsummaries\u002F739737427d52b833-mlx-frontier-ai-fully-on-device-on-apple-silicon-summary.md","MLX: Frontier AI Fully On-Device on Apple Silicon",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",7440,1795,22229,0.002363,{"type":14,"value":15,"toc":57},"minimark",[16,21,25,33,37,44,47,51,54],[17,18,20],"h2",{"id":19},"offload-ai-to-device-for-reliability-and-accessibility","Offload AI to Device for Reliability and Accessibility",[22,23,24],"p",{},"Cloud AI fails in unreliable networks like Africa or for always-on agents\u002Frobots—on-device compute solves this. MLX, an array framework like PyTorch for Apple Silicon, delivers: 1.5M downloads, 4,000+ ported models, day-zero support for Gemma 4. Run 426B-param models on M1 MacBooks\u002FiPhones at reasonable speeds using community optimizations. Motivation: Blind users regain vision\u002Fnavigation via phone cameras (e.g., MLX VLM describes scenes in real-time). Modular pipelines let you swap ASR (e.g., Whisper), LLM, TTS models to fit any Apple Silicon hardware, from M1 to latest.",[22,26,27,28,32],{},"Real-time vision: ",[29,30,31],"code",{},"mlxvlm run rfdeye"," detects objects (glasses as \"wine glass\") offline, even with internet off. Background blur + object detection for meetings uses native segmentation. Audio: Marvvis TTS generates speech in \u003C100ms; speech-to-speech chains STT → LLM → TTS for Jarvis-like control (\"blur a command\"). Supports Python\u002FSwift for native apps.",[17,34,36],{"id":35},"multimodal-omni-models-and-large-scale-inference","Multimodal Omni Models and Large-Scale Inference",[22,38,39,40,43],{},"Omni models (Gemma 4 E2\u002FE4, Qwen 2.5 Omni ~30B params) ingest image\u002Faudio\u002Ftext combos. ",[29,41,42],{},"mlxvlm ui gemma-2-27b"," analyzes images offline (e.g., describes speaker's profile pic with bio details) on 96GB VRAM machines—run all demos simultaneously. Parallelize hundreds of images\u002Fdocuments. Speech-to-speech sounds natural; build via prompt-cloud-code (e.g., replicate Whisperflow in 10min).",[22,45,46],{},"Monitor with Mactop (GPU\u002FCPU overlay)—inference spikes GPU usage. Avoid CoreML for now (private API issues); MLX uses GPU. Expect open-source to match GPT-4o\u002FClaude 3.5 Opus in 6 months—adjust UX to current speeds.",[17,48,50],{"id":49},"turbo-quant-and-community-projects-push-boundaries","Turbo Quant and Community Projects Push Boundaries",[22,52,53],{},"Turbo Quant (speaker's impl. 30min post-paper) quantizes KV cache 4x (1GB → 250MB), doubles throughput at 300k contexts, enables 1M-token contexts on-device with exact-match quality. Chained video gen on 16GB VRAM creates coherent stories from prompts (not one-shot). Community: Grounded reasoning (detect fires\u002Fitems in dashcams\u002Fsecurity cams); native voice apps (Locally reads text with MLX Audio\u002FMarvvis); robots (Rechi Mini with real-time Jarvis voice clone, MLX vision\u002Faudio for see\u002Fhear\u002Frespond).",[22,55,56],{},"Build agents that hear\u002Fsee\u002Fsound like humans on iPhone\u002FiPad\u002FMac\u002Frobot—no cloud calls. Share: Reshare community videos via speaker's X (@Prince_Canuma).",{"title":58,"searchDepth":59,"depth":59,"links":60},"",2,[61,62,63],{"id":19,"depth":59,"text":20},{"id":35,"depth":59,"text":36},{"id":49,"depth":59,"text":50},[],null,"md",false,{"content_references":69,"triage":81},[70,74,77],{"type":71,"title":72,"context":73},"tool","MLX","recommended",{"type":71,"title":75,"author":76,"context":73},"Mactop","Carson",{"type":78,"title":79,"context":80},"other","Turbo Quant","cited",{"relevance":82,"novelty":83,"quality":83,"actionability":82,"composite":84,"reasoning":85},3,4,3.45,"Category: AI & LLMs. The article discusses the MLX framework for on-device AI, which is relevant to AI engineering and addresses the need for reliable AI in low-connectivity areas. It presents novel insights into how on-device models can operate efficiently, but while it provides some practical applications, it lacks detailed step-by-step guidance for implementation.",true,"\u002Fsummaries\u002F739737427d52b833-mlx-frontier-ai-fully-on-device-on-apple-silicon-summary","2026-05-11 13:00:06","2026-05-11 15:00:18",{"title":5,"description":58},{"loc":87},"739737427d52b833","AI Engineer","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=zTLJNHj0DeQ","summaries\u002F739737427d52b833-mlx-frontier-ai-fully-on-device-on-apple-silicon-summary",[98,99,100,101],"mlx","on-device-ai","apple-silicon","multimodal-models","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FzTLJNHj0DeQ\u002Fhqdefault.jpg","MLX runs real-time vision, \u003C100ms TTS, omni models, 426B LLMs, and text-to-video on 16GB Mac VRAM—no cloud. Turbo Quant cuts KV cache 4x for 1M contexts, enabling accessibility and robots in low-connectivity areas.","[Prince Canuma](https:\u002F\u002Fx.com\u002FPrince_Canuma)'s conference talk demos MLX on Apple Silicon for on-device AI: real-time vision description, speech-to-speech pipelines, multimodal omni models, local Gemma runs, video generation on 16GB VRAM, Turbo Quant for 1M context, plus community voice apps and robots—all motivated by offline accessibility 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AI-Powered Android Apps with Gemini Nano",{"provider":7,"model":7017,"input_tokens":7018,"output_tokens":7019,"processing_time_ms":7020,"cost_usd":7021},"google\u002Fgemini-3.1-flash-lite",7759,677,3740,0.00295525,{"type":14,"value":7023,"toc":7075},[7024,7028,7036,7040,7043,7065,7069,7072],[17,7025,7027],{"id":7026},"the-android-ai-architecture","The Android AI Architecture",[22,7029,7030,7031,7035],{},"Google’s approach to on-device AI centers on the ",[7032,7033,7034],"strong",{},"AI Core"," system service. Because models like Gemini Nano are large (3-4 GB), shipping them within individual apps is impractical. AI Core centralizes the model on the device, allowing multiple apps to share the same resource. This architecture handles hardware optimization, memory management, and execution priority automatically. Foreground apps receive priority for inference, while background tasks are queued and managed by the system to preserve battery life.",[17,7037,7039],{"id":7038},"implementation-strategies","Implementation Strategies",[22,7041,7042],{},"Developers have three primary paths for building intelligent experiences on Android:",[7044,7045,7046,7053,7059],"ul",{},[7047,7048,7049,7052],"li",{},[7032,7050,7051],{},"ML Kit GenAI APIs:"," The most straightforward path. It provides access to Gemini Nano for tasks like summarization, proofreading, and general prompting. It abstracts away the complexity of TPU inference and model configuration.",[7047,7054,7055,7058],{},[7032,7056,7057],{},"Hybrid Inference:"," To solve the reach problem—where Nano is only available on recent flagship devices—developers can use Firebase AI logic. This allows an app to attempt on-device inference first and automatically fall back to cloud models (like Gemini Flash) if the local model is unavailable.",[7047,7060,7061,7064],{},[7032,7062,7063],{},"LiteRT:"," For developers requiring custom models or specific optimizations beyond what the standard APIs offer, LiteRT provides a lower-level framework for running custom models on-device.",[17,7066,7068],{"id":7067},"managing-trade-offs-and-capabilities","Managing Trade-offs and Capabilities",[22,7070,7071],{},"While the GenAI APIs are optimized for privacy and low latency, they currently require flagship hardware from the last two years. For broader compatibility, developers should use \"classic\" ML Kit APIs (vision, OCR), which support over a billion devices.",[22,7073,7074],{},"Regarding RAG-style applications, the current Prompt API supports text and image inputs. While a dedicated embedding API is not yet live, Google confirmed it is coming soon to facilitate vectorization and similarity tasks. Developers are encouraged to treat these tools as foundational layers—building their own logic, prompts, and \"skills\" on top of the provided APIs rather than expecting the system to handle high-level task orchestration.",{"title":58,"searchDepth":59,"depth":59,"links":7076},[7077,7078,7079],{"id":7026,"depth":59,"text":7027},{"id":7038,"depth":59,"text":7039},{"id":7067,"depth":59,"text":7068},[110],{"content_references":7082,"triage":7090},[7083,7084,7086,7088],{"type":71,"title":7034,"context":73},{"type":71,"title":7085,"context":73},"ML Kit",{"type":71,"title":7087,"context":73},"LiteRT",{"type":71,"title":7089,"context":73},"Firebase AI",{"relevance":7091,"novelty":83,"quality":83,"actionability":83,"composite":7092,"reasoning":7093},5,4.35,"Category: AI & LLMs. The article provides a detailed overview of building AI-powered Android apps using Gemini Nano, addressing practical implementation strategies that developers can adopt. It outlines specific paths like ML Kit GenAI APIs and hybrid inference, which are directly actionable for developers looking to integrate AI into their applications.","\u002Fsummaries\u002F960bbb8c46f4c9b6-building-ai-powered-android-apps-with-gemini-nano-summary","2026-05-22 14:00:06","2026-05-22 15:00:18",{"title":7015,"description":58},{"loc":7094},"960bbb8c46f4c9b6","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=owH1f0N-keY","summaries\u002F960bbb8c46f4c9b6-building-ai-powered-android-apps-with-gemini-nano-summary",[7103,7104,7105,99],"ai-llms","android","mobile-development","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FowH1f0N-keY\u002Fhqdefault.jpg","Android developers can leverage Gemini Nano via the AI Core system service for on-device inference, or use hybrid inference to fall back to cloud models, ensuring privacy and efficient resource management without managing model deployment.","This is a high-level overview of the Android AI stack, explaining how [AI Core](https:\u002F\u002Fdeveloper.android.com\u002Fguide\u002Ftopics\u002Fml\u002Faicore) manages on-device [Gemini Nano](https:\u002F\u002Fdeepmind.google\u002Ftechnologies\u002Fgemini\u002Fnano\u002F) models to share resources across apps. The speakers clarify the trade-offs between using [ML Kit](https:\u002F\u002Fdevelopers.google.com\u002Fml-kit) for flagship-only on-device tasks versus [Firebase Genkit](https:\u002F\u002Ffirebase.google.com\u002Fproducts\u002Fgenkit) or [LiteRT](https:\u002F\u002Fai.google.dev\u002Fedge\u002Flitert) for broader reach and custom model needs.",[7103,7104,7105,99],"4q7ob9HcHzKyidxSftizTzCxLO_D7b7kA0uoXSFecc0",{"id":7112,"title":7113,"ai":7114,"body":7119,"categories":7181,"created_at":65,"date_modified":65,"description":58,"extension":66,"faq":65,"featured":67,"kicker_label":65,"meta":7182,"navigation":86,"path":7196,"published_at":7197,"question":65,"scraped_at":7198,"seo":7199,"sitemap":7200,"source_id":7201,"source_name":93,"source_type":94,"source_url":7202,"stem":7203,"tags":7204,"thumbnail_url":7208,"tldr":7209,"tweet":7210,"unknown_tags":7211,"__hash__":7212},"summaries\u002Fsummaries\u002F0bcfae99f6db62f4-fine-tuning-tiny-llms-for-on-device-ai-agents-summary.md","Fine-Tuning Tiny LLMs for On-Device AI Agents",{"provider":7,"model":7017,"input_tokens":7115,"output_tokens":7116,"processing_time_ms":7117,"cost_usd":7118},7976,820,4400,0.003224,{"type":14,"value":7120,"toc":7176},[7121,7125,7136,7140,7143,7146,7150,7153,7156],[17,7122,7124],{"id":7123},"on-device-ai-architecture-system-vs-custom-models","On-Device AI Architecture: System vs. Custom Models",[22,7126,7127,7128,7131,7132,7135],{},"Developers have two primary paths for integrating AI into mobile applications. The first is leveraging ",[7032,7129,7130],{},"System GenAI"," (e.g., Gemini Nano via AI Core), which is pre-installed, highly optimized, and requires no additional app footprint. This is the recommended starting point for general tasks. The second path is ",[7032,7133,7134],{},"LiteRT-LM",", a runtime for custom, tiny LLMs (under 1 billion parameters) that are bundled directly with the app. While this requires more engineering effort, it provides full customization and control, allowing developers to build boutique features that system-level models may not support.",[17,7137,7139],{"id":7138},"building-robust-agentic-skills","Building Robust Agentic Skills",[22,7141,7142],{},"Modern on-device agents can be built using a simple harness that combines a base model (like Gemma 4) with a tool-calling framework. Instead of exposing all function details to the model at once, developers should use a selective loading approach: the model identifies the intent, then loads the specific skill description and associated JavaScript UI on demand.",[22,7144,7145],{},"For high-stakes reliability, fine-tuning is superior to prompt-engineering alone. For example, Function Gemma (270M parameters) improved from 46% to over 90% accuracy on specific app intents after being fine-tuned on a synthetic dataset. Developers can use synthetic data generation (e.g., via Flash) to create these datasets and utilize the Function Gemma fine-tuning lab on Hugging Face to train models for specific, narrow tasks.",[17,7147,7149],{"id":7148},"deployment-and-performance","Deployment and Performance",[22,7151,7152],{},"LiteRT-LM acts as a cross-platform runtime (supporting Android, iOS, and desktop) that executes models in a single-file format containing the model weights and tokenizer. This runtime is hardware-agnostic, capable of utilizing CPU, GPU, or NPU acceleration.",[22,7154,7155],{},"Key takeaways for production deployment include:",[7044,7157,7158,7164,7170],{},[7047,7159,7160,7163],{},[7032,7161,7162],{},"Model Chaining:"," Complex features, such as the \"Eloquent\" transcription app, can be built by chaining multiple tiny models (e.g., one for ASR, one for text polishing) to achieve high performance while maintaining a small memory footprint.",[7047,7165,7166,7169],{},[7032,7167,7168],{},"Hardware Optimization:"," Using specialized runtimes allows tiny models (like 500M parameter VLM models) to run at high speeds on mobile NPUs.",[7047,7171,7172,7175],{},[7032,7173,7174],{},"Iterative Testing:"," The Google AI Edge Gallery serves as an open-source reference implementation for testing these models, allowing developers to load custom skills from URLs and debug via ADB.",{"title":58,"searchDepth":59,"depth":59,"links":7177},[7178,7179,7180],{"id":7123,"depth":59,"text":7124},{"id":7138,"depth":59,"text":7139},{"id":7148,"depth":59,"text":7149},[110],{"content_references":7183,"triage":7193},[7184,7185,7188,7190],{"type":71,"title":7134,"context":73},{"type":71,"title":7186,"url":7187,"context":73},"Google AI Edge Gallery","https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fai-edge-gallery",{"type":71,"title":7189,"context":73},"Function Gemma Fine-tuning Lab",{"type":71,"title":7191,"context":7192},"MediaPipe","mentioned",{"relevance":7091,"novelty":83,"quality":83,"actionability":7091,"composite":7194,"reasoning":7195},4.55,"Category: AI & LLMs. The article provides in-depth insights on fine-tuning tiny LLMs for on-device AI agents, addressing practical applications for developers looking to integrate AI into mobile apps. It offers actionable steps, such as using synthetic data for fine-tuning and deploying models with LiteRT-LM, making it highly relevant and immediately applicable.","\u002Fsummaries\u002F0bcfae99f6db62f4-fine-tuning-tiny-llms-for-on-device-ai-agents-summary","2026-05-20 13:00:06","2026-05-20 15:00:14",{"title":7113,"description":58},{"loc":7196},"0bcfae99f6db62f4","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=-TiET_K-E_g","summaries\u002F0bcfae99f6db62f4-fine-tuning-tiny-llms-for-on-device-ai-agents-summary",[7205,7206,99,7207],"llm","agents","fine-tuning","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002F-TiET_K-E_g\u002Fhqdefault.jpg","Developers can achieve production-grade performance on-device by choosing between system-level models (Gemini Nano) for general tasks or fine-tuning tiny LLMs (\u003C1B parameters) via LiteRT-LM for specialized, high-accuracy agentic workflows.","This presentation outlines how to deploy small language models on mobile devices using Google's [AI Edge](https:\u002F\u002Fai.google.dev\u002Fedge) stack. It focuses on using [LiteRT-LM](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fmediapipe\u002Ftree\u002Fmaster\u002Fmediapipe\u002Ftasks\u002Fios\u002Fgenai) for custom on-device models and demonstrates a skill-harnessing technique for building agent-like app features via the [Google AI Edge Gallery](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fai-edge-gallery).",[99,7207],"cCrvW8CLaAHeYyBt2-5Rcv1EpHfA63NhrVL7pxVX9Kc",{"id":7214,"title":7215,"ai":7216,"body":7221,"categories":7397,"created_at":65,"date_modified":65,"description":7225,"extension":66,"faq":65,"featured":67,"kicker_label":65,"meta":7398,"navigation":86,"path":7421,"published_at":65,"question":65,"scraped_at":7422,"seo":7423,"sitemap":7424,"source_id":7425,"source_name":7426,"source_type":7427,"source_url":7428,"stem":7429,"tags":7430,"thumbnail_url":65,"tldr":7434,"tweet":65,"unknown_tags":7435,"__hash__":7436},"summaries\u002Fsummaries\u002F8ccff9c28a5e07d2-run-vibevoice-stt-locally-on-mac-in-one-uv-command-summary.md","Run VibeVoice STT Locally on Mac in One uv Command",{"provider":7,"model":8,"input_tokens":7217,"output_tokens":7218,"processing_time_ms":7219,"cost_usd":7220},5072,2597,26872,0.0022904,{"type":14,"value":7222,"toc":7392},[7223,7226,7230,7241,7250,7264,7349,7360,7364,7367,7378,7381,7385,7388],[22,7224,7225],{},"This link post demonstrates running Microsoft's VibeVoice, a Whisper-style speech-to-text model with built-in speaker diarization, locally on Apple Silicon. Released January 21, 2026, and MIT-licensed, it uses the 5.71GB 4-bit MLX-quantized version of the 17.3GB original for efficient inference.",[17,7227,7229],{"id":7228},"one-liner-command-delivers-full-transcription","One-Liner Command Delivers Full Transcription",[22,7231,7232,7233,7236,7237,7240],{},"Install and run via ",[29,7234,7235],{},"uv"," and ",[29,7238,7239],{},"mlx-audio",":",[7242,7243,7248],"pre",{"className":7244,"code":7246,"language":7247},[7245],"language-text","uv run --with mlx-audio mlx_audio.stt.generate \\\n  --model mlx-community\u002FVibeVoice-ASR-4bit \\\n  --audio lenny.mp3 --output-path lenny \\\n  --format json --verbose --max-tokens 32768\n","text",[29,7249,7246],{"__ignoreMap":58},[22,7251,7252,7253,7236,7256,7259,7260,7263],{},"This handles ",[29,7254,7255],{},".mp3",[29,7257,7258],{},".wav"," inputs. Default ",[29,7261,7262],{},"--max-tokens 8192"," covers ~25min audio; increase to 32768 for up to ~59min (model limit trims longer files). Outputs JSON array of segments like:",[7242,7265,7269],{"className":7266,"code":7267,"language":7268,"meta":58,"style":58},"language-json shiki shiki-themes github-light github-dark","{\n  \"text\": \"And an open question for me is...\",\n  \"start\": 13.85,\n  \"end\": 19.5,\n  \"duration\": 5.65,\n  \"speaker_id\": 0\n}\n","json",[29,7270,7271,7280,7296,7308,7320,7332,7343],{"__ignoreMap":58},[7272,7273,7276],"span",{"class":7274,"line":7275},"line",1,[7272,7277,7279],{"class":7278},"sVt8B","{\n",[7272,7281,7282,7286,7289,7293],{"class":7274,"line":59},[7272,7283,7285],{"class":7284},"sj4cs","  \"text\"",[7272,7287,7288],{"class":7278},": ",[7272,7290,7292],{"class":7291},"sZZnC","\"And an open question for me is...\"",[7272,7294,7295],{"class":7278},",\n",[7272,7297,7298,7301,7303,7306],{"class":7274,"line":82},[7272,7299,7300],{"class":7284},"  \"start\"",[7272,7302,7288],{"class":7278},[7272,7304,7305],{"class":7284},"13.85",[7272,7307,7295],{"class":7278},[7272,7309,7310,7313,7315,7318],{"class":7274,"line":83},[7272,7311,7312],{"class":7284},"  \"end\"",[7272,7314,7288],{"class":7278},[7272,7316,7317],{"class":7284},"19.5",[7272,7319,7295],{"class":7278},[7272,7321,7322,7325,7327,7330],{"class":7274,"line":7091},[7272,7323,7324],{"class":7284},"  \"duration\"",[7272,7326,7288],{"class":7278},[7272,7328,7329],{"class":7284},"5.65",[7272,7331,7295],{"class":7278},[7272,7333,7335,7338,7340],{"class":7274,"line":7334},6,[7272,7336,7337],{"class":7284},"  \"speaker_id\"",[7272,7339,7288],{"class":7278},[7272,7341,7342],{"class":7284},"0\n",[7272,7344,7346],{"class":7274,"line":7345},7,[7272,7347,7348],{"class":7278},"}\n",[22,7350,7351,7352,7355,7356,7359],{},"Load JSON into Datasette Lite (",[29,7353,7354],{},"https:\u002F\u002Flite.dssette.io\u002F?json=URL",") to facet by ",[29,7357,7358],{},"speaker_id"," and browse turns—accurately distinguishes speakers, even voice changes in intros.",[17,7361,7363],{"id":7362},"m5-max-performance-fast-for-local-use","M5 Max Performance: Fast for Local Use",[22,7365,7366],{},"On 128GB M5 Max MacBook Pro, 99.8min podcast (trimmed to 59min) took 524.79s total:",[7044,7368,7369,7372,7375],{},[7047,7370,7371],{},"Prompt: 26,615 tokens at 50.718 t\u002Fs",[7047,7373,7374],{},"Generation: 20,248 tokens at 38.585 t\u002Fs",[7047,7376,7377],{},"Peak reported: 30.44GB RAM (Activity Monitor showed 61.5GB prefill, 18GB generation)",[22,7379,7380],{},"That's 8min 45s for ~1hr audio, enabling quick local prototyping without cloud costs.",[17,7382,7384],{"id":7383},"handling-long-audio-requires-splitting","Handling Long Audio Requires Splitting",[22,7386,7387],{},"Model caps at ~59min; for longer files, split with 1min overlaps to align speaker IDs and avoid cut-off words. Align segments post-processing to merge full transcripts.",[7389,7390,7391],"style",{},"html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":58,"searchDepth":59,"depth":59,"links":7393},[7394,7395,7396],{"id":7228,"depth":59,"text":7229},{"id":7362,"depth":59,"text":7363},{"id":7383,"depth":59,"text":7384},[],{"content_references":7399,"triage":7419},[7400,7403,7406,7409,7412,7416],{"type":71,"title":7401,"url":7402,"context":7192},"microsoft\u002FVibeVoice","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FVibeVoice",{"type":71,"title":7239,"author":7404,"url":7405,"context":73},"Prince Canuma","https:\u002F\u002Fgithub.com\u002FBlaizzy\u002Fmlx-audio",{"type":71,"title":7407,"url":7408,"context":7192},"mlx-community\u002FVibeVoice-ASR-4bit","https:\u002F\u002Fhuggingface.co\u002Fmlx-community\u002FVibeVoice-ASR-4bit",{"type":71,"title":7410,"url":7411,"context":7192},"microsoft\u002FVibeVoice-ASR","https:\u002F\u002Fhuggingface.co\u002Fmicrosoft\u002FVibeVoice-ASR\u002Ftree\u002Fmain",{"type":7413,"title":7414,"url":7415,"context":7192},"podcast","podcast appearance with Lenny Rachitsky","https:\u002F\u002Fsimonwillison.net\u002F2026\u002FApr\u002F2\u002Flennys-podcast\u002F",{"type":71,"title":7417,"url":7418,"context":73},"Datasette Lite","https:\u002F\u002Flite.datasette.io\u002F",{"relevance":7091,"novelty":83,"quality":83,"actionability":7091,"composite":7194,"reasoning":7420},"Category: AI & LLMs. The article provides a practical guide on running a specific AI model for speech-to-text transcription, addressing the needs of developers looking to implement AI features in their products. It includes a concrete command for execution and performance metrics, making it immediately actionable for the target audience.","\u002Fsummaries\u002F8ccff9c28a5e07d2-run-vibevoice-stt-locally-on-mac-in-one-uv-command-summary","2026-05-03 17:01:59",{"title":7215,"description":7225},{"loc":7421},"8ccff9c28a5e07d2","Simon Willison's Weblog","article","https:\u002F\u002Fsimonwillison.net\u002F2026\u002FApr\u002F27\u002Fvibevoice\u002F#atom-everything","summaries\u002F8ccff9c28a5e07d2-run-vibevoice-stt-locally-on-mac-in-one-uv-command-summary",[7431,7432,98,7433],"python","ai-tools","speech-to-text","Transcribe up to 59min audio with Microsoft's MIT-licensed VibeVoice model using mlx-audio: uv one-liner on M5 Max Mac processes 1hr podcast in 524s (8:45min) at 30-61GB RAM peak, outputs speaker-diarized JSON segments.",[98,7433],"Q9tnX8SIMUxa-_WyoFfW0YtnSs3O4mbyQR0Om301BMo"]