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Meta Superintelligence Lab Releases Muse Spark: A Multimodal Reasoning Model With Thought Compression and Parallel Agents

Meta Superintelligence Labs recently made a significant move by unveiling ‘Muse Spark’ — the first model in the Muse family. Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration. https://ai.meta.com/static-resource/muse-spark-eval-methodology What ‘Natively Multimodal’ Actually Means When Meta describes Muse Spark as ‘natively multimodal,’ it means…

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New video generation model updates

Today, Veo is getting more expressive, with improvements that help you create more fun, creative, high-quality videos based on ingredient images, built directly for the mobile format. We’re excited to bring new creative possibilities for everyone from casual storytellers to professional filmmakers. We’re releasing: Improvements to Veo 3.1 Ingredients to Video, our capability that lets…

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A Coding Guide to Markerless 3D Human Kinematics with Pose2Sim, RTMPose, and OpenSim

import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D from pathlib import Path import re def parse_trc(trc_path): """Parse a .trc file and return marker names, frame data, and metadata.""" with open(trc_path, 'r') as f: lines = f.readlines() meta_keys = lines[2].strip().split('\t') meta_vals = lines[3].strip().split('\t') …

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Why AI-Native IDP Outperform Legacy IDPs Document Workflows

The gap between AI-native document processing platforms and legacy vendors like ABBYY and Kofax runs deeper than OCR accuracy or feature parity. These products reflect fundamentally different operating philosophies - and those differences compound over time in ways that matter commercially. Organizations that treat this as a like-for-like technology comparison tend to underestimate the total…

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How to Build a Netflix VOID Video Object Removal and Inpainting Pipeline with CogVideoX, Custom Prompting, and End-to-End Sample Inference

In this tutorial, we build and run an advanced pipeline for Netflix’s VOID model. We set up the environment, install all required dependencies, clone the repository, download the official base model and VOID checkpoint, and prepare the sample inputs needed for video object removal. We also make the workflow more practical by allowing secure terminal-style…

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Our most capable open models to date

At the edge, our E2B and E4B models redefine on-device utility, prioritizing multimodal capabilities, low-latency processing and seamless ecosystem integration over raw parameter count. Powerful, accessible, open To power the next generation of pioneering research and products, we've sized the Gemma 4 models specifically to run and fine-tune efficiently on hardware — from billions of…

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