digitado

Fetch, parse, and store is a web scraping order traditionally effective for most data pipelines. Up until recently, it was the dominating way to collect data, even at scale. With the rise of AI crawlers, however, more sophisticated anti-scraping strategies have become prevalent across the web. Websites have the right to defend themselves from malicious bots, but legitimate public data collection is affected as well. The traditional web scraping process must be rethought, with parsing becoming a part […]

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Most breach and attack simulation tools tell you what they found. VANGUARD tells you what it found, shows you the exact reasoning it used to find it, then writes the Elasticsearch detection rules you need to catch it next time – and deploys them automatically. Here’s how it works under the hood and what I learned building it. The Problem With Current BAS Tools Breach and Attack Simulation (BAS) tools like Cymulate, Pentera, and AttackIQ work by replaying […]

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Local LLMs are great – until you have to manage them on multiple machines. Ollama makes it easy to run models like Qwen, Mistral, and Gemma on consumer hardware, but most tools stop at “chat UI”. This tutorial shows how to build a production-ready admin dashboard for Ollama that runs on Android and Desktop with about 95% shared Kotlin Multiplatform code. You will: Build a Compose Multiplatform app with a shared UI layer for Android and Desktop. Implement […]

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How controlled DNS, segmented connectivity, and deterministic routing reduce financial risk in distributed pricing systems 1. The Missing Layer in Financial Automation Automated pricing systems are typically discussed in terms of: pricing algorithms competitive strategies machine learning models data pipelines However, at scale, a critical component is often overlooked: the network layer. In distributed pricing infrastructure, financial safety depends not only on how prices are calculated, but also on how reliably and predictably the system can: reach external […]

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There’s a conversation happening right now in every professional services firm, every consultancy, every law office, every policy shop in the country. It goes something like this: “We should be using AI. But what should we be using it for?” And the answers, at least at an enterprise level, are mostly the same. Summarize this document. Draft this email. Research this topic. The tasks are real, the outputs are fine, and the productivity gains are modest enough that […]

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Reinforcement Learning (RL) has been shown to substantially improve the reasoning capability of small and large language models (LLMs), but existing approaches typically rely on verifiable rewards, hence ground truth labels. We propose an RL framework that uses rewards from an LLM that acts as a judge evaluating model outputs over large amounts of unlabeled data, enabling label-free knowledge distillation and replacing the need of ground truth supervision. Notably, the judge operates with a single-token output, making reward […]

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“Struggling to decode the ‘Celtic runes’ of functional programming? Stop fighting the syntax and start looking at the model. This guide breaks down FP through the lens of computation axioms, showing you that whether it’s Haskell or Python, the logic of ‘folds’ and ‘maps’ remains the same. Let’s break the loop and embrace recursion.”

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For years, Bitcoin was easy to dismiss. To some, it was a speculative toy. To others, it was a risky bet for traders chasing volatility. Traditional investors often viewed it as too unstable, too ideological, or too disconnected from the real economy to matter in serious financial planning. That view is getting harder to defend. Bitcoin is no longer just something people buy and hope will go up. It is increasingly being treated as part of a broader […]

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I handle over 50 emails every day. At first, I assumed that AI would merely help me speed up my response time. And indeed, it did just that. However, after a while, I began to feel that something was off. Although the replies were clearly worded, polite, and efficient. When AI Replies Stop Sounding Like You Most advice about using AI for email focuses on speed. Write faster, clear your inbox, move on. That works until every message […]

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Why ambient scribes keep coming up I built a browser-based AI medical scribe recently, and the reason was quite simple: I wanted to see if people (including me) had been asking the wrong question. Ambient “AI scribe” tools are often sold on note quality. But when you look at why these tools are even on the table, it’s hard not to notice the bigger pressure underneath: clinicians are spending a lot of time documenting, and a lot of that […]

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