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On-device AI

AI on phones, laptops and edge devices: small models, local inference and edge chips.

3 picksRelated topicsDeployment & engineeringOpen sourceModel releases

Latest picks

1–3 of 3

Aug 12Wednesday

Google DeepMind

Google DeepMind releases SL2T sign language-to-text model, first in Pixel 11 Gboard and Live Transcribe

Google DeepMind released SL2T, a multilingual sign language-to-text model, bringing sign language AI into consumer products for the first time. On Pixel 11, Gboard and Live Transcribe support American Sign Language (ASL) to English dictation, with more devices and languages to follow.

Why it matters: It gives SL2T's training scale, benchmark results and privacy design, so readers can judge the real limits of sign language translation in consumer products.

Dec 3, 2025Wednesday

Mistral AI

Mistral releases the Mistral 3 family, including 675B-parameter Mistral Large 3

Mistral AI released the Mistral 3 family: three dense models at 14B, 8B and 3B, plus Mistral Large 3, which uses a sparse MoE architecture with 41B active and 675B total parameters. All are open-sourced under Apache 2.0.

Why it matters: Mistral 3 ships an Apache 2.0 family from 3B to 675B in one release, a useful read on where open weights now stand for on-device and frontier capability.

Mar 17, 2025Monday

Mistral AI

Mistral AI releases Mistral Small 3.1 with multimodal support and 128k context

Mistral AI released Mistral Small 3.1, which improves text performance and multimodal understanding over Mistral Small 3 and extends the context window to 128k tokens. Inference runs at 150 tokens per second, and the model is open-sourced under Apache 2.0.

Why it matters: Mistral gives the multimodal, 128k-context and 150 tokens/s figures for Mistral Small 3.1, letting readers compare it with small models of the same class.