Signals
Production-oriented research signals and interpretation for AI systems builders.
Deep Dives and Frameworks
Implementation playbooks, operator patterns, and durable analysis.
Signals, Maps, and Watch Lists
Production-oriented analysis, benchmarks, and market/system intelligence.
External tools
Execution tooling is separate
Swarm Signal keeps the analysis layer. Use BoredTools for reusable production templates and trackers.
Multi-Agent Reasoning's Memory Problem
Reasoning language models score in the top percentile on math olympiad benchmarks, yet a new study from Stanford found they fail to correctly recall their...
Small Models Just Got Smarter About When to Think
Reasoning tokens aren't free. Every chain-of-thought step an LLM generates costs inference budget, and most of the time that thinking is wasted on tasks...
Small Models Just Learned When to Ask for Help
SWE-bench has been the graveyard of small language models. While GPT-4 class systems resolve over 40% of real-world GitHub issues, models under 10 billion...
MoE's Dirty Secret Is Load Balancing
Every frontier lab now ships a sparse Mixture-of-Experts model. Google's Switch Transformer started the trend. DeepSeek-V3 proved it could scale....
When Single Agents Beat Swarms: The Case Against Multi-Agent Systems
Stanford researchers found LLM teams fail to match their expert agents by up to 37.6%. Independent multi-agent systems amplify errors 17.2 times. The evidence for single agents over swarms is stronger than the industry admits.
Agents Can Connect. They Still Can't Communicate.
MCP and A2A solved the plumbing. The hard part — agents actually communicating meaning — remains wide open.
Obsidian's CLI Turns Your Second Brain Into an API
Obsidian 1.12 ships an official CLI with 100+ commands. Here's what works, what breaks, and why AI developers should care.
Vibe Coding: The Backlash Phase
Collins Dictionary named 'vibe coding' word of the year 2025. Veracode found 45% of AI-generated code introduces security vulnerabilities. The disillusionment phase is here, and the data explains why.
The Inference Budget Just Got Interesting
OpenAI's o1 made headlines for "thinking harder" during inference. But the real story isn't that a model can spend more tokens on reasoning: it's that...
Inference-Time Compute Is Escaping the LLM Bubble
Explore how inference-time compute scaling lets AI models think longer and reason deeper, boosting accuracy without retraining.