Congrats to DeepSeek V4.1 Flash 1017, MiniMax M3.1 Flash, and Mercury 3 (details below) but they’re not going to be in super wide use just yet.
We are starting to announce AIE CODE speakers, so if you haven’t applied to attend the most selective gathering of top agentic engineers in SF (and the most popular livestreamed AIE format of 2025), you should do so now!
We checked 12 subreddits, 544 Twitters and no further Discords.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Back to Articles Published October 20, 2026 Update on GitHub Upvote 2 Mattt mattt Follow Last November, we introduced AnyLanguageModel on this blog: a drop-in replacement for Apple's Foundation Models framework that let…
We heard from app developers who were curious about local models but weren't always sure how to get started.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
A quick word about who we are: we're the PyTorch team at Hugging Face.
We contribute across PyTorch, and one of our focus areas is the MPS backend, where the goal is to make your Mac a first-class place to run and train PyTorch models.
NVIDIA CUDA Tile (cuTile) is a Python-based DSL and parallel programming model for NVIDIA GPUs that automatically leverages advanced hardware capabilities to…
NVIDIA CUDA Tile (cuTile) is a Python-based DSL and parallel programming model that abstracts thread- and warp-level scheduling behind high-level, tile-centric primitives to automatically target Tensor Cores and other a…
Machine learning engineers at Jane Street implemented the Mamba-2 state-space model in cuTile and partnered with NVIDIA to optimize three custom kernels for the forward pass: chunk_cumsum, fwd_pass_state, and compute_ou…
Back to Articles Community Article Published October 2, 2026 Upvote 103 +97 Xuan-Son Nguyen ngxson Follow ggml-org Victor Mustar victor Follow ggml-org llama.cpp server now supports decision models through the /v1/syste…
You send a state (text, JSON, a screenshot) and typed questions.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
TorchNeuron is a PyTorch plugin that brings a new backend for Trainium enabling support for eager mode, torch.compile and native distributed APIs like FSDP and TP.
Read the Pytorch blog to learn more about TorchNeuron.
We are piloting a new show on Latent Space: High Taste Testers, a variant of our food show where we pull you in to a typical lunch conversation in San Francisco.
All your favorite talking points, starting with Dev Day and going into the latest models and assistants, are here: AI News for 10/15/2026-10/16/2026.
Bring coding agents, model customization, and CUDA-accelerated development to your everyday PC…
Bring coding agents, model customization, and CUDA-accelerated development to your everyday PC NVIDIA RTX Spark combines the GB10 system-on-a-chip with up to 128GB of unified memory to let developers run local coding ag…
The platform delivers 4.6x faster coding-agent performance, 2.7x faster fine-tuning, and 1.8x faster code compilation compared with Intel Panther Lake 12Xe.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Back to Articles Published October 15, 2026 Update on GitHub Upvote 43 +37 Aritra Roy Gosthipaty ariG23498 Follow Sayak Paul sayakpaul Follow Linoy Tsaban linoyts Follow Black Forest Labs FLUX.3 Image Klein is here, and…
One model does text-to-image and multi-reference image-to-image, and it adds something new, the layout control .
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Back to Articles Published October 16, 2026 Update on GitHub Upvote 47 +41 ben burtenshaw burtenshaw Follow merve merve Follow Pedro Cuenca pcuenq Follow Beam by Reflection is out on Hugging Face!
It is the first model from the new US lab, Reflection, and it’s open!
Back to Articles Enterprise Article Published October 15, 2026 Upvote 65 +59 Kate Soule katesoule Follow ibm-granite Subhajit Chaudhury subhajit1412 Follow ibm-granite Hendrik Strobelt hen Follow ibm-granite Luis A Last…
Now Granite Switch 4.1 models, armed with a Decision adapter and the fastest ASR model on the OpenASR leaderboard, can move efficiently between natural-language responses, general and specialized decisions, and speech-t…
Always-on agents are taking on longer, more complex enterprise workflows. A single request can involve reading a document, checking information across sources…
NVIDIA Nemotron 3.5 Super VL is an open, customizable multimodal model with a 120B-parameter mixture-of-experts architecture that activates 12B parameters per token for agentic workflows.
The model combines reasoning, instruction following, tool use, and text, image, document, and video understanding in a single model, eliminating the need for separate vision-language models.
Meta launches Muse Spark Open, a coding-optimized 816B mixture-of-experts (MoE) model with 42B active parameters and a 1M token context window.
Mixture-of-experts (MoE) model Muse Spark Open activates 42B of 816B total parameters per token through top-8 routing across 256 experts.
Trained on NVIDIA GB300 NVL72 Blackwell Ultra for agentic coding workflows, it delivers higher first-attempt accuracy, reliable tool calling, and deep codebase understanding across repositories.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Back to Articles Published October 15, 2026 Update on GitHub Upvote 63 +57 Pedro Cuenca pcuenq Follow merve merve Follow ben burtenshaw burtenshaw Follow Guarin Flück guarin Follow Quentin Gallouédec qgallouedec Follow…
The mixture of experts model brings text, images, audio, and video into a model with approximately 816 billion parameters, around 42 billion active per token, and a context window of up to one million tokens.
