AI Security
IARPA's TrojAI program releases final report on detecting trojan attacks in AI systems, covering image classifiers, NLP models, and reinforcement learning with implications for synthetic media security.
world models
From cognitive science mental simulators to Sora's video generation, world models represent AI's ability to predict and simulate reality—the core technology powering synthetic media.
AI Architecture
RAG has limitations. Memory injection techniques offer AI assistants persistent, contextual memory that transforms how they understand and respond to users over time.
deepfakes
Enterprise unified communications face growing deepfake threats from voice cloning fraud to video impersonation. Examining three critical attack vectors targeting business communications infrastructure.
AI Agents
OpenPlanter brings Palantir-style recursive AI agent capabilities to the open-source community, enabling micro surveillance use cases with transparent, auditable AI systems.
multi-agent systems
Learn how supervisor agents coordinate specialized AI workers in multi-agent systems. This guide covers architectural patterns, LangGraph implementation, and practical orchestration strategies.
AI Agents
Learn how to create AI support agents that continuously improve through feedback loops using Langfuse observability. A technical guide to building autonomous systems that learn from interactions.
AI Agents
Technical guide to implementing traceable AI decision-making with comprehensive audit logging and human oversight checkpoints for accountable autonomous systems.
AI Security
Security researchers demonstrate how hidden prompt injections in code repositories can hijack AI coding agents like Cline, exposing critical vulnerabilities in agentic AI systems.
AI Safety
From RLHF to Constitutional AI, these four technical approaches aim to prevent AI systems from lying, manipulating, or causing harm—critical foundations for trustworthy synthetic media.
VAE
Variational Autoencoders compress reality into mathematical latent spaces, enabling everything from Stable Diffusion to AI video generation. Here's how the Bayesian math actually works.
LLM
New research reveals that LLMs reason better using their own examples rather than human-provided ones, suggesting the process of generation matters more than example quality.