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PRO TIP: If you’re not using Grok @bot you’re missing out. It has replaced OpenClaw, Hermes, & my local model ($10K Mac Minis). Get a Comet Pro Remote KVM to let the bot access your Mac environment. I’m going to sell my Minis (for more than I paid) next week.
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It’s happening Default will be local model by next year for most corporate workers
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it's one click in buzz to make a local model available to agents AND share your compute with other people. just one. and your agents will automatically chose the largest/best shared model available.
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⚪️ New App: Slate — a voice journal built on one rule: nothing leaves your phone. 100% Apple, top to bottom. Transcription by SpeechAnalyzer on device. Reflection by the 3 billion parameter Apple Intelligence model on the Neural Engine. Storage in SwiftData. Swift 6, SwiftUI, Liquid Glass. Zero third-party code in the binary. There's no account. No analytics. No tracking. No third party SDKs. No network calls. The app is private because there is nothing to collect. Turn on airplane mode and everything still works. There's no server. You speak your mind and slate writes it down. It notices patterns and reads your week back to you in a summary every Sunday. The local model is an observer. It never replies or advises or comforts. When it has nothing real to say, it says nothing.
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QVAC SDK 0.14.0 is live. This release makes the on-device stack faster on mobile, ships the developer-agent path, and takes local text-to-speech to 31 languages. Main highlights: - OpenCode and OpenClaw. The first official OpenCode plugin, plus a maintained OpenClaw compatibility path, both built on managed mode and qvac serve. Point a coding agent at a local model with far less setup and far fewer surprises. - Brain-computer interface transcription, on the SDK. Take recorded neural signal data and decode it into text, fully on-device, no cloud. Stream it in chunks through a simple API. In 0.14 it runs GPU-accelerated on iOS. - Text to Speech in 31 languages with our Supertonic3 upgrade. VOICE AND SPEECH - Supertonic3 multilingual TTS, 5 languages to 31. - Chatterbox and Supertonic now run on the Android GPU, with lower memory use (especially on iOS), quantized s3gen Chatterbox support, and a fix for Chatterbox occasionally emitting random speech. - Whisper transcription now runs on the iOS GPU. Parakeet runs on the Android GPU, with steadier real-time streaming. VISION AND OCR - VLM multi-tile batching: high-resolution Pan and Scan images are encoded in one pass instead of tile by tile, for faster vision throughput. - OCR on ggml (EasyOCR and DocTR) reaches full speed parity with the onnx path, across Metal, OpenCL, and Vulkan. PLATFORM AND RELIABILITY - Dynamic compute backends on Linux: one build picks the right backend at runtime, and opens the door to ROCm and CUDA support without per-backend builds. - Thinking tokens are kept out of the model context, so reasoning no longer fills the KV cache. SDK 0.14.0 is now leaner and faster to start. Let’s build.
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In Chinese, “2B” has long been used as an insult. Turns out it was way ahead of its time. It basically means someone performs worse than a 2B local model.
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What should I buy if the budget is $5k? Macmini, 3090?? Needs to run Hermes for the team and local model like qwen 27b
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