Couldn't help it! Had to give GPT 5.4 (High) + /fast mode a try. → Added height terrains to the level → Animation tweens for the jumps Used xHigh to solve a gnarly bug with the controls successfully 💪 This Final Fantasy Tactics-inspired game was completely vibe coded! https://t.co/q2K7PovU62

We’re announcing Kos-1 Lite, a medical model that achieves SOTA on HealthBench Hard at 46.6%. As a medium sized language model (~100B), it achieves these results at a fraction of the serving cost of frontier trillion-parameter models. https://t.co/27sxAHPgZM

We’re announcing Kos-1 Lite, a medical model that achieves SOTA on HealthBench Hard at 46.6%. As a medium sized language model (~100B), it achieves these results at a fraction of the serving cost of frontier trillion-parameter models. https://t.co/27sxAHPgZM

SWE-rebench V2 A language-agnostic pipeline that automatically harvests 32,000+ executable real-world software engineering tasks across 20 programming languages. Built for large-scale RL training of code agents with reproducible Docker environments. https://t.co/JJ0vLH5N7B

SWE-rebench V2 A language-agnostic pipeline that automatically harvests 32,000+ executable real-world software engineering tasks across 20 programming languages. Built for large-scale RL training of code agents with reproducible Docker environments. https://t.co/JJ0vLH5N7B

Image Generation with a Sphere Encoder https://t.co/6I2FbpogaC

Utonia Toward One Encoder for All Point Clouds paper: https://t.co/AJFPivgBm9 https://t.co/Xbux4iY1QV

BeyondSWE Can Current Code Agent Survive Beyond Single-Repo Bug Fixing? paper: https://t.co/IrLgJJomQU

Beyond Language Modeling An Exploration of Multimodal Pretraining paper: https://t.co/GmtPAQDo8T

Beyond Length Scaling Synergizing Breadth and Depth for Generative Reward Models https://t.co/25QhR93OKK

Kiwi-Edit Versatile Video Editing via Instruction and Reference Guidance https://t.co/s9xlDgXhfc

BBQ-to-Image Numeric Bounding Box and Qolor Control in Large-Scale Text-to-Image Models paper: https://t.co/54U6zmx2ZA https://t.co/fW8zbIrE19

Video world models today have a very limited context length. Mode Seeking meets Mean Seeking (MMM) unlocks long-context, persistent video world models through a unified representation. 1/8 🧵 https://t.co/XXMic82qoc

The Faster-Qwen3-TTS demo just passed the official Qwen3-TTS demo in Hugging Face trending (last 7 days). Now the #5 most trending Space 🚀 https://t.co/8Ar622nKU9

Helios Real Real-Time Long Video Generation Model paper: https://t.co/ae0ZH4zPzn https://t.co/kCnNfF3ImI

Heterogeneous Agent Collaborative Reinforcement Learning https://t.co/ASb1VwtCeK

Proact-VL A Proactive VideoLLM for Real-Time AI Companions https://t.co/GkHdSKxSvi

CubeComposer Spatio-Temporal Autoregressive 4K 360° Video Generation from Perspective Video paper: https://t.co/mnDM1VrYn7 https://t.co/iHtlZJCo1w

LTX-2.3 is out on Hugging Face model: https://t.co/te5nwPL1LE https://t.co/biO7szxFGz

Tencent released HY-WU on Hugging Face An Extensible Functional Neural Memory Framework and An Instantiation in Text-Guided Image Editing model: https://t.co/jAnic8Z9i1 https://t.co/LsLpyjMVQT

New model updates from iquestlab. If you're trying to find an inference model that you can run offline, this is probably the one you're looking for. - 7B and 14B coding models - Optimized for tool use, CLI agents and HTML generation - 128k context length - Explicit and detailed prompting works best - MiT license with requirement of display logo - available on @huggingface

With the help of @huggingface we (/w @RisingSayak) are building a ML Club India 🇮🇳 What we want to do: 1. Online talks 2. IST compatible timing 2. Open to all More to come in this week! Watch this space. 🤗 Special thanks to @LysandreJik who motivated me to keep working on this. 🔥

Thanks @AnthropicAI. Thanks @huggingface for letting me work on Diffusers and other open-source projects across the fleet. https://t.co/R2qCNHk5lb

💥 Learn how to build your own tool-calling agent with @huggingface TRL + @Alibaba_Qwen Qwen3.5 on @Azure Machine Learning! - @NousResearch hermes-function-calling-v1, 500 single-turn samples - SFT with TRL on Qwen3.5 2B (released today!) on a single NVIDIA H100 - Everything on Azure, from Container Registry to Machine Learning! Step-by-step in the thread 🧵

agentic RL hackathon this weekend! mentors from @PyTorch, @huggingface , and @UnslothAI will guide you to build agentic environments to win from a pool of $100K prizes 🏆 + free compute and token credits just for attending! lock in mar 7-8 in SF. https://t.co/erZRAJrgrA

There is no best VLM OCR model - rankings can flip completely by document type. I built ocr-bench: run open OCR models on YOUR documents, get a per-collection leaderboard. VLM-as-judge with Bradley-Terry ELO, all running on @huggingface. No local GPU needed. https://t.co/qZOwI0Wbes

Diffusers 0.37.0 is out 🔥 New models, including LTX-2, Helios, GLM-Image, and more. We're proud to be shipping the wild hot RAEs in this release, too! New CP backends, caching methods, etc., are in too! Check out the release notes for more details 🧨 https://t.co/fzwmRDgk80

New course: Build and Train an LLM with JAX, built in partnership with @Google and taught by @chrisachard. JAX is the open-source library behind Google's Gemini, Veo, and other advanced models. This short course teaches you to build and train a 20-million parameter language model from scratch using JAX and its ecosystem of tools. You'll implement a complete MiniGPT-style architecture from scratch, train it, and chat with your finished model through a graphical interface. Skills you'll gain: - Learn JAX's core primitives: automatic differentiation, JIT compilation, and vectorized execution - Build a MiniGPT-style LLM using Flax/NNX, implementing embedding and transformer blocks - Load a pretrained MiniGPT model and run inference through a chat interface Come learn this important software layer for building LLMs! https://t.co/wm6NZOGIKC

A small Qwen3.5 from-scratch reimplementation for edu purposes: https://t.co/OnupgeE55l (probably the best "small" LLM today for on-device tinkering) https://t.co/LwyF8x6sle

@DnuLkjkjh This one doesn't have MoE; but I have the larger Qwen3's with MoE if you are interested: https://t.co/IcyLHmP4dz

@vo_d_p @DnuLkjkjh Actually currently working on a sequel :) https://t.co/xJobdXHGyd

@vo_d_p @DnuLkjkjh Actually currently working on a sequel :) https://t.co/xJobdXHGyd