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
For anyone wondering how I manage to do this, here’s a quick explanation with a small tutorial
First, in Minimax, I use a prompt like this: “The character remains completely frozen in place, perfectly still like a statue. The camera smoothly orbits 360 degrees around the character in one continuous shot. No character movement, no pose change, no cuts.” Then I use COLMAP: Create a new database…
Shared Selective Persistent Memory for Agentic LLM Systems
Agentic LLM systems that generate code through multi-turn tool use face a fundamental context problem: each session starts from zero, discarding the configuration choices, domain constraints, data schemas, and tool-use patterns that made previous sessions productive. Naively persisting entire conversation histories is both token-inefficient and counterproductive—irrelevant context degrades generation quality.…
Improving HCLS AI reasoning with open-source agent skills
AI agents built on foundation models (FMs) often misapply healthcare and life sciences (HCLS) decision frameworks, even when they’ve seen the guidelines in training and in the system prompt. Ask an agent to classify a TP53 missense variant using ACMG/AMP criteria. It will cite the correct framework but misapply evidence…
Cloud CISO Perspectives: How Google monitors AI threats and advances AI defenses
Welcome to the first Cloud CISO Perspectives for September 2026. Today, Sandra Joyce shares the latest details on Google’s visibility into how attackers are using AI, and how we’re using AI to stop them. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google…