LLMs & Models Articles
Browse 131 articles about LLMs & Models.
What Is Claude Mythos? Anthropic's Most Powerful AI Model Explained
Claude Mythos is Anthropic's leaked next-gen model tier above Opus. Learn what it can do, why it raises cybersecurity concerns, and when it might release.
Why LLM Frameworks Like LangChain and LlamaIndex Are Being Replaced by Agent SDKs
LlamaIndex's founder admits the framework era is ending. Learn why agent SDKs, MCPs, and coding agents are replacing traditional RAG frameworks in 2026.
What Is the Auto Research Loop? How AI Models Now Train Themselves
From MiniMax M2.7 to OpenAI Codex, AI models are now helping build the next version of themselves. Here's how the auto research loop works and why it matters.
What Is the Cursor Composer 2 Controversy? How Open-Source Attribution Works in AI
Cursor built Composer 2 on Kimi K2.5 without disclosure. Learn what happened, why it matters for open-source AI, and what the license actually requires.
What Is the Cursor Composer 2 Controversy? How Open-Source Attribution Works in AI
Cursor built Composer 2 on Kimi K2.5 without disclosure. Learn what happened, why it matters for open-source AI, and what the license actually requires.
What Is the Cursor Composer 2 Controversy? How Open-Source Attribution Works in AI
Cursor built Composer 2 on Kimi K2.5 without disclosure. Learn what happened, why it matters for open-source AI, and what the license actually requires.
What Is Luma Uni1? The Autoregressive Thinking Image Model Explained
Uni1 is Luma's new thinking image model that reasons about composition before generating. Learn how it works and how it pairs with Luma's agent canvas.
What Is Luma Uni1? The Autoregressive Thinking Image Model Explained
Uni1 is Luma's new thinking image model that reasons about composition before generating. Learn how it works and how it pairs with Luma's agent canvas.
Claude Code Effort Levels Explained: When to Use Low, Medium, High, and Max
Claude Code's effort level setting controls how much reasoning the model applies. Learn when to use each level to balance quality and token cost.
How to Optimize AI Agent Token Costs with Multi-Model Routing
Using the right model for each task—frontier for planning, smaller for sub-agents—can cut your AI token costs dramatically. Here's a practical routing strategy.
What Is Cursor Composer 2? The AI Coding Model Built for Cost-Efficient Sub-Agent Work
Cursor Composer 2 is a coding-optimized model that nearly matches GPT-5.4 performance at a fraction of the cost—making it ideal for sub-agent workflows.
What Is Mamba 3? The State Space Model That Challenges Transformer Architecture
Mamba 3 uses a state space model instead of transformers, maintaining a compact internal state for faster, more efficient long-context processing.
What Is the Sub-Agent Era? Why Every AI Lab Is Building Smaller, Faster Models
OpenAI, Google, and Anthropic are all racing to build cheaper, faster models for sub-agent use. Here's what the sub-agent era means for your AI workflows.
Claude 1M Token Context Window: What It Means for Long-Running Agent Tasks
Anthropic expanded Claude Opus 4.6 and Sonnet to 1 million tokens at no extra cost. Here's what that means for agents, RAG, and long workflows.
GPT-5.4 Mini vs Claude Haiku 4.5: Which Is the Better Sub-Agent Model?
GPT-5.4 Mini is cheaper and faster than Claude Haiku 4.5 with better benchmarks. Compare both models for sub-agent use cases and token efficiency.
What Is Cursor Composer 2? The Coding Model Built Specifically for Cursor
Cursor Composer 2 is a custom coding model that outperforms Claude Opus 4.6 at a fraction of the cost. Here's how it compares and when to use it.
What Is Mamba 3? The State Space Model Architecture That Challenges Transformers
Mamba 3 uses state space model architecture instead of transformers, making it faster and cheaper for long conversations. Here's how it works.
What Is MiniMax M2.7? The Self-Evolving AI Model That Handles 30–50% of Its Own Training
MiniMax M2.7 autonomously debugs and optimizes its own training pipeline. Here's what self-evolving AI models mean for agents and automation.
What Is Mistral Small 4? The Open-Weight Model You Can Fine-Tune and Self-Host
Mistral Small 4 is an open-weight model that matches Claude Haiku and Qwen on coding and math benchmarks. Learn what makes it worth fine-tuning.
What Is MiniMax M2.7? The Self-Evolving AI Model Explained
MiniMax M2.7 autonomously improved itself 30% on internal benchmarks using recursive self-optimization. Here's how it works and why it matters for AI agents.