AI Concepts Articles
Browse 1363 articles about AI Concepts.
What Is LipDub? Multilingual Lip-Sync for AI-Generated Video Explained
LipDub is an in-context LoRA for LTX that replaces dialogue in existing videos while preserving original performance and camera movement.
What Is Mercury 2? The Diffusion-Based Language Model That Runs 5x Faster
Mercury 2 from Inception Labs uses a diffusion process instead of autoregressive token generation, claiming 5x faster speeds than Claude Haiku.
What Is Milvus? The Open-Source Vector Database for AI Agent Memory
Milvus is a high-performance vector store that scales to billions of records. Learn why it's a top choice for RAG pipelines and AI agent memory systems.
What Is the Agent Context Bundle? How to Stop Your AI Agent from Rediscovering Everything
Agents waste tokens rediscovering context on every run. Learn how to define and pre-assemble the exact data bundle your agent needs to do its job reliably.
What Is the Agent Memory Problem? Why Vector Search Alone Isn't Enough
Agents waste up to 85% of compute rediscovering context. Learn why vector search fails for agentic work and what memory architectures actually solve it.
What Is the AI Coding War? OpenAI vs Anthropic and What It Means for Builders
OpenAI and Anthropic are competing aggressively for AI coding adoption. Learn what the pricing war means for builders and how to stay tool-agnostic.
AI Cybersecurity in 2025: How Agents Are Finding Zero-Day Exploits
AI is now discovering zero-day vulnerabilities faster than humans ever could. Learn what this means for security, open source, and your AI stack.
How to Use IBM Granite Speech 4.1 for Speaker Diarization and Word-Level Timestamps
IBM Granite Speech 4.1 Plus adds speaker attribution and word-level timestamps to transcription. Learn how to use it for meetings, podcasts, and interviews.
How to Use Meta AI's Contemplating Mode: Spinning Up to 16 Parallel Agents
Meta AI's hidden contemplating mode lets you spin up to 16 parallel reasoning agents. Learn how to activate it and when to use it for complex decisions.
Meta AI Visual Grounding: How to Annotate Images with Health Scores and Macros
Meta AI's visual grounding feature can annotate any image with interactive dots, health scores, and nutritional data. Here's how to use it effectively.
RAG vs Knowledge Graphs vs Tabular Models: Choosing the Right Memory for Your Agent
Different agent tasks need different memory shapes. Compare vector search, document trees, graph RAG, and tabular models to pick the right retrieval layer.
What Is Thinking Machine's Interaction Model? Time Tokenization Explained
Thinking Machine's TML model tokenizes time into 200ms chunks for true real-time AI interaction. Learn how it differs from GPT-4o and Gemini Live.
What Is AlphaEvolve? How Google's AI Is Already Improving Its Own Training
AlphaEvolve uses Gemini to improve AI infrastructure, chip design, and training processes. Learn how recursive self-improvement is already happening.
What Is HyperFrames? The HTML-Based Video Rendering Engine for AI Agents
HyperFrames lets AI agents render animated videos using plain HTML. Learn how it works, what it can do, and how to use it in your automation stack.
What Is IBM Granite Speech 4.1? Three ASR Models and When to Use Each
IBM Granite Speech 4.1 offers three ASR models: a base model, a Plus model with diarization, and a non-auto-regressive model for ultra-fast bulk transcription.
OpenAI GPT Realtime 2 vs Google Gemini TTS: Which AI Voice API Wins?
Compare OpenAI GPT Realtime 2 and Google Gemini TTS on expressiveness, speed, language support, and agentic capabilities to choose the right voice API.
How to Add Speaker Diarization to Your AI Transcription Workflow
Speaker diarization identifies who said what in audio. Learn how IBM Granite Speech 4.1 Plus adds speaker labels, word timestamps, and incremental decoding.
What Is Agentic Commerce? How AI Agents Are Buying and Selling on Your Behalf
Agentic commerce lets AI agents make purchases autonomously. Learn the six protocol layers, key players, and what it means for businesses building AI workflows.
What Is Google Gemini Omni? The Multimodal AI Video Model Explained
Google Gemini Omni is a leaked multimodal AI model combining video, image, and text generation. Here's what we know and why it matters for AI builders.
What Is Recursive Self-Improvement in AI? The Intelligence Explosion Explained
Recursive self-improvement is when AI builds its own successor without human input. Learn what it means, why Anthropic's co-founder says it's coming by 2028.