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Architecting cost-effective infrastructure by navigating the latency and storage trade-offs of HNSW, SPANN, and DiskANN
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I generated a Kármán vortex street without solving a single fluid equation. Here’s how the…
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Tabular foundation models predict the missing column of any spreadsheet zero-shot, the way an LLM…
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Automating the classification and extraction of PII from emails using AWS
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Enterprise Document Intelligence [Vol.1 #8quater] – Two angles on the cascade, cost and a validation…
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Most AI memory systems keep the newest information—not the most important. Here’s how I used…
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$8 million vs $5k + Potentially Going Viral
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Enterprise Document Intelligence [Vol.1 #8ter] – Naming the RAG error correctly matters: model reads the…
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Patience, Optimism, Discipline, Projects, Teams
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The hidden cost of asynchronous systems, how tiny CPU tasks quietly became our biggest bottleneck…
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Enterprise Document Intelligence [Vol.1 #8bis] – Two regimes for sending retrieved candidates to the generation…
Editor’s Picks
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If you have ever wanted to actually build an LLM inference runtime yourself — pack…
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Exploring GPU acceleration with cuDF, cudf.pandas, and the Polars GPU Engine
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On the value of building on existing foundations
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AI’s energy crisis is reviving an old idea: computing with physics instead of digital logic.…
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Why your regression coefficients keep changing, and what geometry has to do with it.
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The analytics career I signed up for five years ago doesn’t exist anymore, and honestly,…
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How to stop parsing JSON by hand and start trusting your model’s output
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My PhD models tried to explain why people engage. My industry models predict who will.…
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A framework for aligning agentic AI with enterprise intent to ensure consistent scenario‑wide autonomous behavior.
The Variable Newsletter
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Authors can now benefit from updated earning tiers and a higher article cap
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Sorting through the good, bad, and ambiguous aspects of vibe coding
Deep Dives
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Static analysis nailed the malicious skill and over-flagged the useful one. The gap between those…
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A reproducible 100-step LoRA fine-tuning run for OpenVLA, with dataset checks, Colab setup, training metrics,…
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Let’s discover how neural networks learn, step by step
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An AI agent passed every metric in the eval harness I published, then the CFO…
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A practical enterprise AI architecture with data agents, AI-powered QA, and AI governance.
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A practical guide to combining pre-churn scoring with uplift modelling for smarter retention.