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
REFACTOR-VLA: Unsupervised Library Learning of Typed Motor Programs
Most current vision-language-action (VLA) models—such as OpenVLA, π0, RT-2, and RDT-1B—are “monolithic.” This means they generate raw motor commands or very short sequences of actions, without organizing behaviors into reusable, well-defined abstractions. As a result, these models perform poorly on long-horizon (multi-step) tasks, and it’s difficult to interpret what they…
Accessing OpenAI models on Amazon Bedrock from Australia with global cross-Region inference
Australian teams working with OpenAI models can now access the latest OpenAI models through Amazon Bedrock. Amazon Bedrock offers OpenAI GPT-5.6 Sol, Terra, and Luna with global cross-Region inference from both Asia Pacific (Sydney) and Asia Pacific (Melbourne) AWS Regions in Australia. Your application calls the Amazon Bedrock Runtime endpoint…
Getting started with Mantis, our open-source bug finding-and-fixing harness
AI models have clearly proven their ability to discover and exploit vulnerabilities without much, if any, human assistance. To help defenders gain the advantage with AI, we built the Mantis harness to automate the discovery, triage, reproduction, and patching of software vulnerabilities. Available to all as an open-source framework, Mantis…
Meta Pushes Its New AI Agent on Employees—but Eases Off on Tokenmaxxing
The company is reducing pressure on workers to use artificial intelligence tools while encouraging them to experiment with Hatch, its most advanced AI project yet.