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…
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…
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')
…
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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# Introduction
Every few months, a new study drops predicting how many millions of jobs AI will erase. LinkedIn explodes. Twitter spirals. People start Googling "recession-proof careers" at 2 am and your cousin is asking for money to start a construction company because it’s "artificial general intelligence-proof" for the third…
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…
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…