signals
Key Guides
Latest Signals
- Anthropic's 186-Deal Experiment Shows What the Agent Economy Actually Looks Like
- When NOT to Use an Agent: The Production Data That Should Change Your Default
- Why Multi-Agent Papers Don't Replicate in Production
- Multimodal Agents Score 40% Where Humans Score 72%
- 2026 Is the Year of the Agent. Here's What the Data Actually Says
From the team behind Swarm Signal
Track Your Finances While You Build AI
BoredTools makes the boring stuff easy — budget dashboards, freelance trackers, and business planners. Download free or grab the full collection.
The NHS Bet on AI Triage Is Bigger Than Anyone Admits
A single GP surgery in Surrey cut patient waiting times by 73% in four months. Not by hiring more doctors. Not by extending hours. By letting an AI decide...
The Benchmark Trap: When High Scores Hide Low Readiness
GPT-5 solves 65% of single-issue bug fixes on SWE-Bench Verified. The same model achieves just 21% on [SWE-EVO](https://arxiv.org/abs/2512.18470), where...
The Budget Problem: Why AI Agents Are Learning to Be Cheap
In January 2026, researchers at the University of Arkansas at Little Rock discovered something unsettling: their dialogue agents were using 41% more...
Chain-of-Thought Prompting Doesn't Always Work. Here's the Evidence.
Think step by step. It's the most common prompt engineering advice in circulation, repeated in tutorials, baked into system prompts, and treated as a...
Interpretability as Infrastructure: Why Understanding AI Matters More Than Controlling It
Approximately 100 neurons control subject-verb agreement in large language models. Not thousands. Not millions. One hundred MLP neurons in a 8-billion...
We Built the Agent Internet Before Its Firewalls
In January 2026, a security startup called Cyata published three CVEs against Anthropic's official Git MCP server. Not a third-party wrapper. Not a...
The Red Team That Never Sleeps: When Small Models Attack Large Ones
A 1.5-billion parameter model just learned to jailbreak GPT-5 Nano, Claude 3.5 Sonnet, and Gemini 2.5 Flash. It didn't need human creativity or domain...
Robots With Reasoning: When Language Models Meet the Physical World
A robot arm completing 84.9% of manipulation tasks without a single demonstration. Not through months of reinforcement learning or massive datasets of...
The Lobster in the Machine: Why OpenClaw is More Than Just Another AI Framework
OpenClaw, which went viral in late January 2026 after a few name changes (you may have known it as Clawdbot or Moltbot), is not just another AI assistant....
Tools That Think Back: When AI Agents Learn to Build Their Own Interfaces
The best AI agents today succeed on only 62.3% of real-world tool-use tasks. That number comes from [MCP-Atlas](https://arxiv.org/abs/2602.00933), a...