7 results for “on-device AI”
Liquid AI has released the LFM2.5 model family, a comprehensive suite of open-weight models designed to run entirely on edge devices without cloud. The LFM2.5 releases address three critical constraints that have limited on-device AI.
Tencent's Hunyuan team released Hy-MT2 on 21 May 2026 — a new translation model family with instruction-following templates, three sizes up to a 30B-A3B MoE variant, and open weights plus IFMTBench. This is the next generation after the April Hy-MT1.5 phone quantizations.
Tencent open-sourced Hy-MT1.5-1.8B packs that shrink a 3.3 GB translation model to as little as about 440 MB for offline use on ordinary phones. The 1.25-bit and 2-bit releases keep 33-language coverage while targeting on-device privacy and real-time translation without a network.
In the high-stakes race to dominate artificial intelligence, two of the world's most valuable companies are pursuing fundamentally different strategies. Apple, known for its consumer devices, is reportedly taking a more cautious approach.
Apple Intelligence has been registered with China's cyberspace regulator, clearing a major regulatory hurdle that could finally bring the company's AI. China is one of Apple's largest and fastest-growing markets.
Apple debuted its first 2 nm chip, the M6, in the new Mac mini and the quad-die M5 Ultra in the new Mac Studio. The M5 Ultra's 512 GB unified memory and 1.2 TB/s bandwidth let developers run massive AI models locally without cloud costs.
Apple filed a federal lawsuit on July 10, 2026 accusing OpenAI of orchestrating a systematic campaign to steal trade secrets through targeted employee. The lawsuit lands at a moment of maximum financial stakes for both principals.