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In the previous article, I established that the AI art detectors are unreliable. When I started working on AI writing detectors, I expected there to be flawed systems, but what I found was shocking. The first thing I had to do was develop a test for determining the accuracy of a system. Here is the complete methodology I used for testing. Experimental Design: A 5-Variable Gauntlet The testing framework utilized a controlled input sequence designed to map the […]

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Unlike banks, crypto networks run without a central boss and without access requirements. Anyone with a device and Internet can create their own wallet in minutes. They can also participate as “block producers” (miner, “validator,” or equivalent) without sharing their identity. Crypto is pseudonymous and open… and that, without proper protection, could cause bad things like a Sybil attack. The term and the mechanism existed well before cryptocurrencies, since it applies to reputation systems and peer-to-peer (P2P) networks. […]

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The Black Box Problem Most developers treat a SQL database like a black box: you put a query in, and a result comes out. But when you’re working with petabytes of data in a distributed Lakehouse like Snowflake or Databricks, that black box mindset is exactly what leads to five-figure cloud bills and constant timeouts. In my experience, the secret to high-performance data engineering isn’t writing clever SQL—it’s writing SQL that is easy for the Query Optimizer to […]

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Stablecoins have come from nowhere to create a parallel financial world alongside traditional banking. These crypto tokens, usually pegged for a 1:1 exchange with fiat currencies and backed by liquid assets, aim to bring the best of blockchain to the table and add a dash of stability. Over the past few years, stablecoins have really taken off: we’re now talking about market capitalization in the hundreds of billions and trading volume in tens of trillions annually. They’re promising […]

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Medical vision-language datasets are often limited in size and biased toward negative findings, as clinicians report abnormalities mostly but might omit some positive/neutral findings because they might be considered as irrelevant to the patient’s condition. We propose a self-supervised data enrichment method that leverages semantic clustering of report sentences. Then we enrich the findings in the medical reports in the training set by adding positive/neutral observations from different clusters in a self-supervised manner. Our approach yields consistent gains […]

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After building more than a few dozen web applications, I keep noticing the same thing: as frontend developers, we often make projects more complicated than they need to be. We bring in heavy libraries just to cover a couple of features. We add abstractions that end up confusing even us. We do not keep an eye on unnecessary re-renders. We do not think about bundle size. And then we wonder why the project has become slow, awkward, and […]

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What Actually Works in Production A practical framework for choosing your LLM optimisation strategy Introduction: The Great Optimisation Divide The combination of Large Language Models (LLMs) and team building presents a common dilemma in the development of systems using LLM technology: Is it better to conduct a fine-tuning of the model or to design better prompts? The industry has falsely simplified a complex problem. In my case, after designing and implementing numerous production systems, the solution has never […]

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