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Startup DetectifAI has released an SDK that detects deepfake voices directly in a phone's operating system without sending audio to the cloud. It offers the tool to phone manufacturers and businesses, and already processes over 100 000 calls per month for financial institutions in India.
PrismML has introduced the 1-bit Bonsai LLM with 2 billion parameters for smart glasses on Qualcomm's Snapdragon AR1 Gen 1 platform — the model runs locally without sending data, though no specific glasses using it have been announced yet.
Liquid AI has released the draft model LFM2.5-VL-DSpark (280M parameters) for speculative decoding with the LFM2.5-VL-3B model. According to the company, it speeds up decoding by up to 3.13× on-device and up to 2.66× on the H100, with day-one support in llama.cpp, MLX-VLM and SGLang.
Liquid AI and Qualcomm Technologies announced at Snapdragon Summit 2026 that the on-device context layer Liquid Context has been optimized for Hexagon NPU in Snapdragon processors — it is intended to enable device manufacturers to build personalized AI agents with local context processing.
Hugging Face has added native support to the transformers library for the GGUF format for local inference on Apple Silicon, including quantization levels such as Q4_K_M that shrink models to a fraction of their original size.
Jun Kim, the creator of the oMLX project, has become a full-fledged contributor at Hugging Face and will lead its further development. The project remains under the Apache 2.0 license, and the goal is to speed up the conversion of transformers models to the MLX format for local execution on Apple Silicon.
Swedish startup Scaleout Systems is adapting smaller computer vision ML models to run on edge hardware in drones and at field stations, and was selected for the NATO DIANA 2025 accelerator.
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