OpenAI improves coding for low-resource languages

Nvidia launches new open models to run agents in the enterprise and on PCs

Nvidia is leaning hard into the trend of enterprise companies wanting to run their own open models in their own data centers and also trying to make on-device, private AI agents a thing.

MiniMax Just Launched M3.1 Flash: 428B MoE Agentic Model at $0.15/M Input

MiniMax has just released MiniMax M3.1 Flash on its API, priced at $0.15 per 1M input tokens. MiniMax also confirmed that Space Bunny was an earlier M3.1 Flash build. That stealth model processed over 200T tokens. For developers, the message is near-frontier agentic scores at Flash-tier cost. Model weights are due in late October, 2026. TL;DR Size: 428B total parameters, about 23B active (MoE); 1,000,000-token context Runs on: MiniMax API, M Plan and MiniMax Code today. Self-hosting h

Also reported by The Decoder and SiliconANGLE

Welcome Muse Spark Open: open-weight frontier multimodal mixture-of-experts model from Meta

Open-weight models let researchers and companies build AI systems without relying on proprietary providers, potentially accelerating innovation across industries.

Also reported by The Verge, The Decoder, TechCrunch and SiliconANGLE

Kling AI drops version 4.0 with stereo audio, multilingual lip sync, and a lighter Flash variant

Kling AI has released version 4.0 of its video generator with support for clips up to 30 seconds, ten keyframe images as input, and prompt comprehension expanded to 8,000 tokens. In comparisons with Wan 3.0 and Seedance 2.5, Kling 4.0 holds its own but doesn't pull ahead, which could be an early sign that the breakneck pace of progress in AI video models is starting to level off. The article Kling AI drops version 4.0 with stereo audio, multilingual lip sync, and a lighter Flash variant

Mistral AI Releases Timestral: A 209M Forecasting Model Family That Outperforms Google’s TimesFM-3

Mistral AI has released Timestral, its first family of time series foundation models. Timestral is a set of 4 zero-shot forecasting models from Mistral AI, sized from 5M to 209M parameters. The largest checkpoint ranks first among pretrained, zero-shot models on GIFT-Eval, TIME and fev-bench. It does this without a GPU at inference. For developers, this Timestral time series foundation model means probabilistic forecasts on standard server CPUs, with open weights and inference code. TL;DR

Open From Data Center to Desktop: NVIDIA Expands Nemotron Family With Highest Efficiency Super VL and Bolt Models

NVIDIA today released Nemotron 3.5 Super VL, an open 120-billion-parameter model that delivers the fastest task completion and highest accuracy for specialized always-on agents. Joining it are two new edge models: Nemotron 3.5 Bolt 74B-A9B 24GB, optimized to balance intelligence and speed per GB for local agentic workloads, and Nemotron 3.5 Bolt E4B 4GB, optimized for intelligence per GB for fast conversational agents. Super VL and Bolt 74B-A9B are available now, with Bolt E4B coming Oct. 23. T

Also reported by The Decoder, SiliconANGLE and MarkTechPost