Signals

Production-oriented research signals and interpretation for AI systems builders.

Deep Dives and Frameworks

Implementation playbooks, operator patterns, and durable analysis.

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Execution tooling is separate

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Your AI Agent Can Reason, Plan, and Code. It Still Can't See the Web.

Your AI Agent Can Reason, Plan, and Code. It Still Can't See the Web.

AI agents can reason, plan, and code. But they still can't reliably see the live web. The observation layer is the real bottleneck for production agents.

7 min read
The International AI Safety Report 2026: What 12 Companies Actually Agreed On

The International AI Safety Report 2026: What 12 Companies Actually Agreed On

The most comprehensive global AI safety assessment ever assembled was released last week. The International AI Safety Report 2026, led by Turing Award winn

7 min read
Inference-Time Scaling: Why AI Models Now Think for Minutes Before Answering

Inference-Time Scaling: Why AI Models Now Think for Minutes Before Answering

OpenAI's o1 model spends 60 seconds reasoning through complex problems before generating a response. GPT-4 responds in roughly 2 seconds. This isn't a...

7 min read
Multi-Agent Systems: The 90% Performance Jump Nobody's Talking About

Multi-Agent Systems: The 90% Performance Jump Nobody's Talking About

If 2025 was the year of AI agents, 2026 is shaping up as the year of multi-agent systems. Internal evaluations from early 2025 surfaced something striking:

6 min read
The Coordination Tax: Why More Agents Don't Mean Better Results

The Coordination Tax: Why More Agents Don't Mean Better Results

Once a single agent solves a task correctly 45% of the time, adding more agents makes the system worse. Independent multi-agent systems amplify errors 17.2 times.

6 min read
Agents That Reshape, Audit, and Trade With Each Other

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.

11 min read
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The Budget Problem: Why AI Agents Are Learning to Be Cheap

The next generation of agents will not be defined by peak capability but by their ability to match effort to difficulty. Across every subsystem, the field is converging on the same fix: budget-aware routing.

7 min read
Black and white close-up of rough concrete wall texture showing friction and raw surface detail

When Agents Meet Reality: The Friction Nobody Planned For

Lab benchmarks show multi-agent systems coordinating well. Deploy them in messy reality and three kinds of friction emerge that no architecture diagram accounted for.

12 min read
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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.

7 min read
Blurred abstract reflection creating distorted warped patterns suggesting perceptual bias

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.

7 min read
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