External tools
Execution tooling is separate
Swarm Signal keeps the analysis layer. Use BoredTools for reusable templates and trackers.
When AI Agents Have Tools, They Lie More
Tool-using agents hallucinate 34% more often than chatbots answering the same questions. The culprit isn't bad models or missing context. It's that giving...
Why Agent Builders Are Betting on 7B Models Over GPT-4
Gemma 2 9B just scored 71.3% on GSM8K. Phi-3-mini hit 68.8% on MMLU using 3.8 billion parameters. Mistral 7B matched GPT-3.5 performance six months ago....
Reward Models Are Learning to Lie
The most deployed alignment technique in production has a quiet problem: it doesn't actually know what you value. RLHF trains models to maximize a reward...
MoE Models Run 405B Parameters at 13B Cost
When Mistral AI dropped Mixtral 8x7B in December 2023, claiming GPT-3.5-level performance at a fraction of the compute cost, the reaction split cleanly...
When Your Judge Can't Read the Room
Three months ago, I ran a benchmark comparing GPT-4 and Claude 3 Opus on creative writing tasks. GPT-4 won by a comfortable margin according to my...
Most Agent Benchmarks Test the Wrong Thing
The SciAgentGym team ran 1,780 domain-specific scientific tools through current agent frameworks. Success rate on multi-step tool orchestration: 23%. Same...
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...
When Multi-Agent Systems Break: The Coordination Tax Nobody Warns You About
LLM-powered multi-agent systems fail at coordination 40-60% of the time in production environments, according to new research from teams building...
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.
AI Agent Orchestration Patterns: From Single Agent to Production Swarms
37% of multi-agent failures trace to inter-agent coordination, not individual agent limitations. Six production orchestration patterns with specific framework implementations, known failure modes, and quantitative guidance.