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.
Images Created by AI
Latest Artificial Intelligence Content News
Living brain cells enable machine learning computations
A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously carried out by artificial systems. By integrating cultured neuronal networks into a machine learning framework, the team showed that these biological systems…
LTX Desktop 1.0.3 is live! Now runs on 16 GB VRAM machines
The biggest change: we integrated model layer streaming across all local inference pipelines, cutting peak VRAM usage enough to run on 16 GB VRAM machines. This has been one of the most requested changes since launch, and it’s live now. What else is in 1.0.3: Video Editor performance: Smooth playback…
Personalized Group Relative Policy Optimization for Heterogenous Preference Alignment
Despite their sophisticated general-purpose capabilities, Large Language Models (LLMs) often fail to align with diverse individual preferences because standard post-training methods, like Reinforcement Learning with Human Feedback (RLHF), optimize for a single, global objective. While Group Relative Policy Optimization (GRPO) is a widely adopted on-policy reinforcement learning framework, its group-based…
Smarter Live Streaming at Scale: Rolling Out VBR for All Netflix Live Events
By Renata Teixeira, Zhi Li, Reenal Mahajan, and Wei Wei On January 26, 2026, we flipped an important switch for Live at Netflix: all Live events are now encoded using VBR (Variable Bitrate) instead of CBR (Constant Bitrate). It sounds like a small configuration change, but it required us to revisit…