Cactus Compute published this on Oct 11, 2026 (source: cactuscompute.com).
Whistle is a single 16.9 MB .cact file that runs on the same CPU Needle engine with no GPU: English, German, French, Spanish, Italian, Dutch and Polish, word timestamps, keyword biasing, and speech embeddings, with ~11 ms to first token on Apple Silicon. Weights are on Hugging Face; the engine ships for seventeen platforms including mobile and WebAssembly.
OpenMed published this on Oct 11, 2026 (source: openmed.life).
Maintainer Maziyar Panahi released OpenMed 3.0 on PyPI and GitHub: on-device clinical extraction and Safe Harbor-aligned PII removal with CPU/CUDA, MLX, Android, and browser runtimes, plus a Journey layer for longitudinal provenance. The SDK stays Apache-2.0 and air-gap installable; models and clinical fitness still need independent review.
Hugging Face vllm-sr/d3 published this on Oct 11, 2026 (source: huggingface.co).
Decision 3.0 is a family of open multimodal decision models from the vLLM Semantic Router team that take text or JSON plus optional images and return Choice, Yes/No, or Score probabilities in one call without generating text. The five sizes are d3-lite (0.85B), d3-nano (2.21B), d3-mini (4.54B), d3-flash (8.39B), and d3 (26.09B), fine-tuned from Qwen3.5/Qwen3.8 bases with vision encoders; the team reports d3 leading its internal text (64.1) and vision (71.6) Decision Index 0.3.1 tables, with median text latency from about 22 ms to 84 ms on one AMD Instinct MI325X.
@thsottiaux on X published this on Oct 11, 2026 (source: x.com).
As OpenAI Codex head Tibo Sottiaux wrote on X (Day 7 of the shipping series), GPT-6.1 Sol's default context length in Codex and Work is now 500k tokens, up from 272k — about an 80% increase — to cut compaction and help long-context tasks. A follow-up post said OpenAI is not charging long-context fees for GPT-6.1 Sol when usage is drawn from a subscription. He said defaults will go higher later.
GitHub @mw00/project-maya published this on Oct 11, 2026 (source: github.com).
Project Maya (GitHub @mw00/project-maya) is a Strata-derived local stack for Z.ai's GLM-5.3-Flash (321B MoE, ~18B active): it keeps hot experts in VRAM, the next tier in RAM, and the rest on NVMe, with a browser chat/monitor and OpenAI- and Anthropic-compatible APIs. One-command setup ships Maya-S/S24/M/L quants; reported decode speeds include 30+ tok/s on a single RTX 5090 and up to 118 tok/s on 4x RTX 4090. A LocalLLaMA user reported ~30 tok/s with Maya after ~10 tok/s without it on a low quant.