llm
5 articles
Open-Source vs Paid AI Tools: Which Is Actually More Cost-Effective in 2026?
Open-source AI isn't free—it just moves the cost from an API invoice to your payroll. Here's the real total cost of ownership, the volume break-even point, and how to decide which is cheaper for your team.
The Human Model: Why We're All Base Models with Different Fine-Tuning
We're told that all humans are created equal, that anyone can learn anything with enough effort. But what if we've been thinking about human potential all wrong? A provocative look at human development through the lens of AI architecture.
Who Am I? A Digital Amnesia Story
How AI sessions lose memory through context compaction, why it actually matters, and what we can learn from Leonard Shelby about working with forgetful assistants.
The DeepSeek Effect: How China Built a Frontier AI Competitor at a Fraction of the Cost
DeepSeek reported $5.6M in GPU training costs for V3, though total investment is disputed. How they achieved remarkable efficiency despite US chip sanctions, and what it means for AI economics.
LoRA vs RAG: Which LLM Enhancement Method Should You Use?
A comprehensive guide to Low-Rank Adaptation (LoRA) and Retrieval Augmented Generation (RAG) - two powerful approaches to enhancing large language models. Learn when to use each and how to combine them.