Alignment
The big question: how do you make autonomous systems do what we actually want? Value learning, reward hacking, and the alignment tax.
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.
Agents That Reshape, Audit, and Trade With Each Other
As agents gain autonomy over communication, inspection, and resource negotiation, three converging patterns are redefining multi-agent infrastructure: dynamic topology, embedded auditing, and adversarial trade.
The Red Team That Never Sleeps: When Small Models Attack Large Ones
Automated adversarial tools are emerging where small, cheap models systematically find vulnerabilities in frontier models. The safety landscape is shifting from pre-deployment testing to continuous monitoring.
Your AI Inherited Your Biases: When Agents Think Like Humans (And That's Not a Compliment)
New research shows AI agents don't just learn human capabilities; they systematically inherit human cognitive biases. The implications for deploying agents as objective decision-makers are uncomfortable.
Open Weights, Closed Minds: The Paradox of 'Open' AI
Models you can download but can't verify, use but can't fully trust, deploy but can't completely understand. The paradox of 'open' AI.