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Agents & Frameworks
Independent comparisons of agent stacks and multi-agent designs, tracking the gap between framework marketing and the failure modes that show up under real workloads.
Models & Research
Where architecture, training tricks, and eval methodology meet the marketing layer — separating durable progress in foundation models from leaderboard theater that quietly falls apart under load.
Infrastructure & Runtime
The serving stack, network fabric, and cloud-account substrate beneath production AI, where every throughput claim collides with rebuild windows, egress invoices, and control-plane risk.
Developer Tools
The economics, interop standards, and workflow tradeoffs reshaping how code gets written, reviewed, and shipped when AI agents share the editor with the engineer.
Industry & Business
The money, power, and labor decisions reshaping who controls AI infrastructure, who pays for it, and which incumbents the buildout dislodges or entrenches over the next decade.
Ethics, Policy & Safety
Where AI safety claims collide with reproducible measurement, where training-data harvesting collides with consent, and where deployment outruns the laws and norms meant to constrain it.
Security
Where AI infrastructure inherits the unpatched assumptions of the web stack beneath it, and trust boundaries collapse faster than disclosure timelines can keep up.
Open Source
Where source availability, license fine print, and project survival collide — separating open-weight theater from software you can actually fork, audit, and outlive.
Culture & Society
Where law, labor, and culture push back on machines that scrape, surveil, displace, and addict faster than institutions can write rules for them.
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