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Lessons Learned: Navigating LLM Hallucinations in Technical Integrations
(And How to Avoid the Pitfalls of “Plausible Code”) Large language models (LLMs) have become indispensable tools for developers, offering rapid solutions to complex problems. However, their tendency to generate hallucinations—confident yet incorrect or outdated outputs—can turn a time-saving tool into a debugging nightmare. During a recent technical proof-of-concept (PoC) involving cloud services and third-party…
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Protect Your Privacy with MouseVader
Thwart Behavioral Tracking Through Fake Mouse Movements The Problem: Silent Tracking of Your Every MoveModern websites track far more than your clicks—every hover, scroll, and mouse movement is logged to build a profile of your behavior. This data fuels invasive ad targeting and algorithmic categorization. MouseVader fights back by flooding trackers with fake interactions, rendering…
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5 Critical Lessons from Legacy System Modernization – Insights for Organizations
Legacy systems are the backbone of many organizations, but their limitations often become glaring over time. A recent in-depth review of an outdated case management system revealed universal challenges that resonate across industries. While the specifics remain confidential, the lessons learned offer valuable insights for any organization grappling with aging technology. Here’s what we discovered:…
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The Reality of “Vibe Coding” – Why AI-Generated Code Still Requires Expertise
I’ve often heard the idea of “vibe coding”—the notion that anyone can generate functional code without understanding how it works, simply by relying on AI tools. To test this claim, I decided to put it into practice, experimenting with multiple AI models and coding assistants to see if they could truly replace foundational programming knowledge.…
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BlueScanner: A Wake-Up Call to Bluetooth’s Silent Broadcast
How a simple app exposes the hidden risks of 24/7 device tracking The Dublin Debate That Sparked a Privacy Experiment At a Dublin community safety workshop, a proposal to blanket the city in Bluetooth trackers for theft prevention raised an unsettling question: What if the tools meant to protect us could also be weaponized? While…
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Told you so!
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Running a LLaMa Model Locally
Something special about running an open source LLM model locally. Few years ago, one would be too excited for merely calling GPT’s API using free credits after months of being on a waiting list just to get access. Now, I get to run such models locally as shown below, with no subsciption and with no…
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Offline AI Image Search
So using one of Hugging Face AI models, I mentioned before, I wrote a simple Python script to iterate images in a folder, caption the images then update their metadata with said captions, making it possible to search my Syncthing local storage with content description of images as shown in the screen capture. I left…
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Offline AI Image Captioning
Have been recently exploring Hugging Face AI models as a viable option to provide offline AI image captioning to my new hybrid cloud storage, based on Syncthing, I mentioned before. I’ve found its performance pretty awesome considering that it’s running on a local Raspberry Pi environment using a tiny ARM microprocessor. See below image to…
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A Sustainable Smart Watch
This beauty just arrived recently, another poduct of Pine64, a smart watch which is fully open source, that I do love about it since it means it won’t at any point of time just turn into an expensive piece of plastic, since I can always flash it with any firmware I like from a plethora…