Image created with gemini-2.5-flash-image with claude-sonnet-4-5. Image prompt: Photorealistic 35mm cinema shot of child aged 6-8 sitting cross-legged on plush cream rug in warm-lit bedroom, completely absorbed in smartphone held at arm’s length casting blue glow on face, multiple TV screens blurred in background arc, scattered vintage mobile phones and tablets around child including flip phone and cracked devices creating technology archaeology, charging cable snaking across floor, warm peach and lavender room tones contrasting with cool LED screen light, shallow depth of field, side angle composition, soft focus on background, sharp focus on child and phone, tender yet unsettling domestic scene, bold text MOBILE at top of frame
Introducing Real-time Transcription with Speakers! – Step change in accuracy, surpassing top cloud APIs – Faster than real-time on Mac and iPhone – Still under 3 watts when all features are enabled Available in Argmax SDK 2.0 for early access! Benchmarks and details in comments. https://x.com/argmax/status/2001296557556040028
You can now fine-tune LLMs and deploy them directly on your phone! 🚀 We collabed with PyTorch so you can export and run your trained model 100% locally on your iOS or Android device. Deploy Qwen3 on Pixel 8 and iPhone 15 Pro at ~40 tokens/sec. Guide: https://x.com/UnslothAI/status/2001305185206091917
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