LLMs & Models Articles
Browse 579 articles about LLMs & Models.
Open-Weight AI Models Are Closing the Gap: What GLM 5.2 Means for Your Agent Stack
GLM 5.2 scores near Claude Opus 4.8 on coding benchmarks at 25% of the cost. Here's what the rise of competitive open-weight models means for AI builders.
What Is GLM 5.2? The Open-Weight Model Beating Claude Fable 5 on Design Taste
GLM 5.2 is a 753B open-weight model with MIT license that rivals Claude Opus on coding and beats it on visual design quality at a fraction of the cost.
What Is Google DeepMind's AGI-to-ASI Paper? Four Pathways to Superintelligence
Google DeepMind mapped four paths from AGI to ASI: scaling, algorithmic shifts, recursive self-improvement, and group agent formation. Here's what it means.
How to Use GLM 5.2 in Your AI Workflows: Setup, Providers, and Cost Savings
GLM 5.2 delivers near-Opus-level coding performance at 85% lower cost. Learn how to set it up via OpenRouter, Z.AI, and self-hosting for your AI workflows.
Multi-Model AI Agent Councils: Do Multiple LLMs Give Better Answers Than One?
Running GPT, Claude, and Gemini in parallel with blind peer review and a chairman synthesizer can beat any single model—but only for the right tasks.
How to Use OpenRouter to Run GLM 5.2 in Claude Code for Cheaper Agentic Workflows
GLM 5.2 via OpenRouter costs $1.40 per million input tokens vs Claude Fable's $10. Here's how to set it up in Claude Code in under 5 minutes.
What Is Sub-Quadratic Sparse Attention? How SubQ's 12M Token Context Works
SubQ's SSA architecture focuses attention only on relevant word relationships, cutting compute by 64x at 1M tokens. Here's what it means for AI agent workflows.
How to Use AI for Deep Research Reports: Local Models, Web Search, and Visual Output
Tools like Odysseus can run multi-round deep research using local models and produce formatted HTML reports with table of contents—entirely offline.
Claude Code Ultra Code Mode Explained: When to Use /effort Max vs Dynamic Workflows
Ultra Code spawns parallel sub-agents for massive tasks while /effort max deepens single-agent reasoning. Learn which to use and when for best results.
How to Use GLM 5.2 in Claude Code: Cheaper Agentic Workflows Without Sacrificing Quality
GLM 5.2 plugs into Claude Code via OpenRouter or Z.AI, cutting costs 5x vs Opus. Here's how to set it up and when to use it over frontier models.
How to Use a Multi-Model AI Coding Workflow: Fable for Planning, Composer for Execution, GPT for Review
Using different models for planning, implementation, and review cuts costs and speeds up delivery. Here's how to build a multi-model skill in Claude Code.
How to Run DeepSeek V4 Flash Locally on a MacBook or DGX Spark with Dwarf Star
Dwarf Star's selective quantization shrinks DeepSeek V4 Flash from 568GB to 81GB, letting you run a 284B-parameter model on consumer hardware. Here's how.
SSD Streaming for AI Models: How to Turn RAM from a Wall into a Dial
Dwarf Star's SSD streaming stores expert weights on disk and loads them on demand, eliminating the binary 'fits or doesn't run' problem for large local models.
What Is Claude Fable 5? Anthropic's Most Capable Agentic Model Explained
Claude Fable 5 leads benchmarks on agentic coding, security audits, and knowledge work. Here's what it can do, how to access it, and when it's worth the cost.
What Is Selective Quantization? How Dwarf Star Runs 284B Models on 128GB RAM
Dwarf Star crushes only routed expert weights to 2-bit while keeping load-bearing layers at 4-bit, preserving quality while slashing memory requirements.
What Is Sub-Quadratic Sparse Attention? How SubQ's SSA Architecture Changes Long-Context AI
SubQ's sub-quadratic sparse attention reduces compute by 1,000x at 12M tokens, enabling agents to process entire codebases and document sets in one shot.
GLM 5.2 vs GPT 5.5 vs Claude Opus 4.8: Which Model Wins for Agentic Workflows?
Compare GLM 5.2, GPT 5.5, and Claude Opus 4.8 on benchmarks, pricing, token speed, and real-world agentic coding and design performance.
How to Compare AI Models Side by Side: Build Your Own Personal Model Leaderboard
Learn how to run blind model comparisons, track results over time, and build a personal leaderboard to find the best AI model for your specific tasks.
How to Run Local AI Models with Ollama: A Beginner's Setup Guide for 2026
Learn how to install Ollama, download local models like Gemma and Qwen, and connect them to AI workspaces and agent tools in minutes.
Self-Hosted AI Workspaces vs Cloud Platforms: Privacy, Cost, and Performance Trade-Offs
Comparing self-hosted AI workspaces like Odysseus to cloud platforms like ChatGPT and Claude on privacy, cost, setup complexity, and output quality.