Primers
Foundational explainers for readers who need context before deeper Swarm Signal analysis.
Field Guides and Frameworks
Implementation playbooks, operator patterns, and deployment methods.
Signals, Maps, and Watch Lists
Production-oriented analysis, benchmarks, and market/system intelligence.
No Signal or Benchmark watch content is currently available.
External tools
Execution tooling is separate
Swarm Signal keeps the analysis layer. Use BoredTools for reusable production templates and trackers.
Types of AI Agents: The 2026 Classification That Actually Helps
The reactive/deliberative/hybrid taxonomy is broken. The 2026 classification that actually helps: coding agents, research agents, computer-use agents, task agents, multi-agent orchestrators, and self-improving agents.
Scaling Laws Explained for Practitioners: What Actually Matters in 2026
Scaling laws promised a simple deal: spend more compute, get better models. For three years, that deal held. Kaplan et al. drew the first power-law curves...
AI Safety Compliance for Startups: The Minimum Viable Checklist
The EU AI Act went live. Colorado enforces algorithmic fairness. Enterprise buyers demand AI governance documentation. Here's the minimum viable compliance stack that satisfies current regulations without draining your runway.
Transformer Architecture Explained: The Engine Behind Every AI Model
Every frontier AI model runs on transformers. This guide explains self-attention, scaling laws, Mixture of Experts, FlashAttention, and the modern innovations that determine cost and capability.
AI Alignment Explained: What It Actually Means to Make AI Do What We Want
What AI alignment actually means as an engineering problem. The three core challenges, the techniques that exist today, and why agents make everything harder.
How to Read AI Research Papers Without a PhD
A practical guide to reading AI research papers. Learn the three-pass method, spot red flags in benchmarks and methodology, and build a sustainable reading practice.
Types of AI Agents: Reactive, Deliberative, Hybrid, and What Comes Next
SWE-bench accuracy went from 1.96% in 2023 to 69.1% in 2025. Understanding the types of AI agents behind this progress (reactive, deliberative, hybrid, and autonomous) is the difference between building tools that work and tools that impress.
Mixture of Experts Explained: The Architecture Behind Every Frontier Model
Every frontier model released in the last 18 months uses Mixture of Experts. DeepSeek-V3 activates just 37 billion of its 671 billion parameters per token. Understanding how MoE works isn't optional anymore.
Swarm Intelligence Explained: From Ant Colonies to AI Agent Fleets
In 1987, Craig Reynolds published three lines of code that made pixels fly like birds. Swarm intelligence borrows nature's playbook for solving problems that defeat traditional algorithms.
DeepSeek Explained: How a Chinese Lab Rewrote AI Economics
DeepSeek's R1 matched OpenAI's o1 on math and coding benchmarks. The claimed training cost: $5.6 million. The real figure is more complicated, and more interesting.