digitado

Launched in 2022 by OpenAI, ChatGPT has become one of the most used apps worldwide, with over 900 million weekly active users as of early 2026. People from all around the world are using it for anything and everything, from writing emails to coding websites. Of course, cybercriminals are taking note of this, and they’ve already created some ways to misuse it to steal information and cryptocurrencies. Let’s see what this is about, and how to avoid potential […]

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A Guide to Racing online with Gran Turismo 7 Going online to multiplayer in Gran Turismo 7 is one of the biggest attractions in the game. In single-player mode, the opponents are predictable. You can practice a track for hours, perfect your lines, and gradually build your pace. But the moment you enter an online race, everything changes. You’re now sharing the track with 15 other real human drivers who race like real people. They brake late, defend aggressively, make […]

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As a hobbyist, I was blessed by the vast choice and low price of the highly capable single board computers (SBC). But my happy life ended in 2026, all thanks to the AI craze! I am one of those guys who like to have a few Raspberry Pi’s lying around the house for experimentation: e.g. running a MCP (Model Context Protocol) server. I also have a few Arduino and ESP32 boards, doing simple things like robotic cars. Naturally […]

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I’m going to be brutally honest about something I see happening across the industry right now. And if you’re a senior engineer, this might sting a little — because I’ve been exactly where you are. The best engineers I know have already integrated AI into every part of their workflow. They’re shipping 2-3x faster, producing higher-quality code, and getting promoted ahead of their peers. Meanwhile, another group of equally talented engineers is sitting on the sidelines, watching — and […]

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Every time I see ‘exactly-once semantics’ in a product README, I add a small mental asterisk. Not because the claim is false (it’s often technically accurate), but because it means something much more specific than most people assume when they first encounter it. I spent the better part of a sprint in our banking platform trying to diagnose why we had duplicate payment records in our Delta Lake tables despite using Spark Structured Streaming with checkpointing enabled. We […]

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As part of our continued collaboration with Anthropic, we had the opportunity to apply an early version of Claude Mythos Preview to Firefox. This week’s release of Firefox 150 includes fixes for 271 vulnerabilities identified during this initial evaluation. […] Our experience is a hopeful one for teams who shake off the vertigo and get to work. You may need to reprioritize everything else to bring relentless and single-minded focus to the task, but there is light at […]

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Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system characterized by high heterogeneity of clinical progression and limited accuracy of traditional prognostic approaches. Predicting the transition to an active disease phase is critical for timely adjustment of disease-modifying therapy and reduction of disability risk. Three deep learning architectures were developed (ResNet3D, PretrainedResNet2D, and ResNeXt) for predicting MS activity within a one-year horizon using longitudinal multimodal data comprising T1-weighted MRI volumes (50 axial slices, 128×128 […]

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Cross-sectional stock ranking is a fundamental task in quantitative investment, relying on both temporal modeling of individual stocks and the capture of inter-stock dependencies. While existing deep learning models leverage graph-based approaches to enhance ranking accuracy by propagating information over relational graphs, they suffer from a key challenge: crosstalk, namely unintended information interference across predictive factors. We identify two forms of crosstalk: temporal-scale crosstalk, where trends, fluctuations, and shocks are entangled in a shared representation and non-transferable local […]

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The integrity of scientific literature depends critically on accurate citations, yet miscitation—where references fail to support cited claims—remains a pervasive problem. Existing detection approaches based on semantic similarity or graph anomaly detection struggle with nuanced logical relationships and multi-hop reasoning, while LLM-based methods face hallucination risks and prohibitive computational costs. Moreover, current LLM agent architectures rely on unconstrained generation, lacking verifiable and safe execution guarantees. We propose CiteGuard, a multi-agent framework that unifies chain-of-evidence reasoning, graph-enhanced detection, and […]

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