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Voice latency benchmarks across OpenAI Realtime, LiveKit, Vapi, Retell, Pipecat, Cerebras.
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Every time I correct my AI copilot, I'm leaking expertise - dark knowledge about how I think, what trade-offs I accept, where I draw the line.
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How to build a TUI dashboard in Rust that monitors AI coding agents.
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4.5 million fake GitHub stars.
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AI coding agents don't choose libraries rationally.
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Where does defensible value live in the models era?
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Inspite of all the hype around personal assistants, personal agency still feels far from reality.
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An open benchmark for agent infrastructure resilience.
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Last week I let a swarm of AI agents run autonomously for a week.
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We are the average of the friends we spend the most time with.
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Predistribution changes how value is shared during AI-driven growth, before inequality hardens and redistribution becomes politically infeasible.
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The productivity gains are flowing to capital holders instead of the workers generating them.
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Inference workloads now account for 80% of AI compute spending.
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When building becomes trivially easy, every software market becomes a red ocean.
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Own the chips or the customers.
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The build manifest: 90 days from foundation to production-ready autonomy.
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Alignment as a runtime surface, policy enforcement without retraining.
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Model outputs are hypotheses that need verification pipelines to catch errors before users do.
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Memory and hands for the model: retrieval that doesn’t hallucinate.
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The physics of production AI: latency engineering that keeps humans in the loop.
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Before you build: the mental models for human-AI collaboration.
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A 6-part series on building production AI systems.