AI content generation is about feeding your AI models with semantic and contextual information. The result is a platform that can ‘understand’ what an item is, and how it should be used. AI creates content using semantic knowledge in any form of content including video, 3d, VR and more.
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Latest Artificial Intelligence Content News
Testing MiniMax-H3 Physics knowledge Pt2
Some weeks ago, I posted a set of experiments to “understand” the physical knowledge of MiniMax H3 (original post here). The idea was simple: get an open video of somebody pouring water and replace the water with various liquids. No external references were used. In this set of experiments, I…
DiscoSign: Discourse-Aware Text to Sign Language Gloss Translation
Sign language processing systems have traditionally operated at the sentence level, ignoring critical discourse phenomena fundamental to sign language comprehension. We introduce DiscoSign, a computational approach for discourse-aware text to sign language gloss translation grounded in linguistic research. We address three key phenomena within our modular Large Language Model (LLM)-based…
Monitoring production agent lifecycle with AWS DevOps Agent and AgentCore Evaluations
Multi-agent systems in production experience issues in ways that traditional monitoring misses. For example, the agent can’t invoke its foundation model (FM) and returns an empty response. This could be because of a missing AWS Identity and Access Management (IAM) permission on an agent’s execution role that doesn’t throw a…
The 9 Best TV Shows to Stream This Month (September 2026)
South Park, Slow Horses, Neon Genesis Evangelion, and a Lego-fied Mandalorian are just a few of the things you should be watching right now.